technologie_educative_articles

Exploring the relationship between LMS interactions and academic performance: A Learning Cycle approach.

Sat, 01 Jun 2024 04:00:00 +0000

Computers in Human Behavior; 06/01/2024
Research on the relationship between the digital traces of students in Learning Management Systems (LMS) and their academic performance has traditionally been an area of interest in the field of learning analytics. Aiming at achieving high interpretability and generalizability, this study reviews past research, defines a new categorization scheme for interactions in LMS and investigates the relationships between clickstream data of students' activity and course performance, measured as final grade. The results of the multiple regression analysis of Moodle log data collected from three courses of diverse nature using various classifications of interactions suggest that the new categorization, the CILC (Classification of Interactions based on the Learning Cycle), improves the explanatory power when compared to previous classifications. The analysis suggests that the predictive ability of the models could depend on the delivery mode, with predictions improving as the delivery mode transitions from face-to-face learning to online learning. This finding highlights the need for context-specific considerations about the learning process. Compared to previous research, the analysis also reveals nuances that suggest that the relationships may depend on the instructional design. Finally, the findings also seem to support the notion that increased data quantity and quality may improve predictive models. In summary, the study contributes with valuable insights into the interplay between LMS interactions, course delivery mode, instructional design, and academic performance, and advocates for a balanced exploration of white-box and black-box modeling approaches in learning analytics research. • We define a new categorization for LMS clickstream data based on the learning cycle. • The new categorization outperforms previous ones in explaining student performance. • The need for interpretability justifies white-box and black-box models' coexistence. • The predictive power of LMS interaction data varies with course delivery mode. • The instructional design might affect the interaction-performance link.
(AN 176121697); ISSN: 07475632
CINAHL Complete

Utilising chatbots in clinical nursing education: Application and obstacles.

Sat, 01 Jun 2024 04:00:00 +0000

Journal of Clinical Nursing (John Wiley & Sons, Inc.); 06/01/2024
(AN 176717444); ISSN: 09621067
CINAHL Complete

Table of Contents May 2024.

Wed, 01 May 2024 04:00:00 +0000

Medical Education; 05/01/2024
(AN 176608570); ISSN: 03080110
CINAHL Complete

Literature review on sexuality in the elderly: What is being taught and with what technologies

Thu, 25 Apr 2024 08:32:13 +0000

Author Names: Acevedo Ayala J.,Solari Del Sol A.,Arroyo Concha M.,Tirreau Roman D.

Database Source: Embase Daily Updates

Journal Title: Medwave

Article Title: Literature review on sexuality in the elderly: What is being taught and with what technologies,Revision de literatura sobre sexualidad en las personas mayores: que se educa y con que tecnologias

Year: 2024

Issue: 4

Volume: 24

Abstract:

Development and testing of new methodical approaches for predicting cardiovascular events in healthy people using machine learning technology based on the <> international research

Tue, 23 Apr 2024 08:40:20 +0000

Author Names: Mishkin I.A.,Koncevaya A.V.,Gusev A.V.,Saharov A.A.,Drapkina O.M.

Database Source: Embase Daily Updates

Journal Title: Profilakticheskaya Meditsina

Article Title: Development and testing of new methodical approaches for predicting cardiovascular events in healthy people using machine learning technology based on the <<INTEREPID>> international research

Year: 2024

Issue: 3

Volume: 27

Abstract: Cardiovascular diseases remained the leading cause of death all over the world in 2023 yr. Prevention is a key issue for the development of current medicine to reduce the burden of this pathology. Up to date, main tools of monitoring are assessment scales of absolute and relative cardiovascular risk. However, more and more researchers consider the use of artificial intelligence in predicting heart diseases due to development of information technologies. Objective. To develop and test new methodical approaches for predicting cardiovascular events in healthy people using artificial intelligence. Material and methods. The study was performed on the basis of <<INTEREPID>> international research data. The sample consisted of 2,392 thous. participants who have been observed for 4 years, among them 1022 (42.7%) were men, 1369 (57.2%) - women. The analysis included 191 predictors. We used 5 classification algorithms to create prediction models on the Python programming environment: RandomForestClassifier, GradientBoostingClassifier, ExtraTreesClassifier, XGBClassifier, LGBMClassifier. ROCanalysis was used to evaluate the effectiveness of prediction models. Results. The most effective algorithm was GradientBoostingClassifier with AUC-0,76. The worst result had ExtraTreesClassifier with AUC-0,68. The most significant risk factors were age, C-reactive protein level in the blood and animal fat consumption. Conclusion. As a result of the research we were able to obtain a prediction algorithm with relatively good quality of discrimination. Further studies on larger amount of data are necessary to improve this development. Copyright © 2024, Media Sphera Publishing Group. All rights reserved.

ChatGPT vs pharmacy students in the pharmacotherapy time-limit test: A comparative study in Thailand

Tue, 23 Apr 2024 08:40:20 +0000

Author Names: Taesotikul S.,Singhan W.,Taesotikul T.

Database Source: Embase Daily Updates

Journal Title: Currents in Pharmacy Teaching and Learning,Currents in Pharmacy Teaching and Learning

Article Title: ChatGPT vs pharmacy students in the pharmacotherapy time-limit test: A comparative study in Thailand

Year: 2024

Issue:

Volume:

Abstract: Objectives: ChatGPT is an innovative artificial intelligence designed to enhance human activities and serve as a potent tool for information retrieval. This study aimed to evaluate the performance and limitation of ChatGPT on fourth-year pharmacy student examination. Method(s): This cross-sectional study was conducted on February 2023 at the Faculty of Pharmacy, Chiang Mai University, Thailand. The exam contained 16 multiple-choice questions and 2 short-answer questions, focusing on classification and medical management of shock and electrolyte disorders. Result(s): Out of the 18 questions, ChatGPT provided 44% (8 out of 18) correct responses. In contrast, the students provided a higher accuracy rate with 66% (12 out of 18) correctly answered questions. The findings of this study underscore that while AI exhibits proficiency, it encounters limitations when confronted with specific queries derived from practical scenarios, on the contrary with pharmacy students who possess the liberty to explore and collaborate, mirroring real-world scenarios. Conclusion(s): Users must exercise caution regarding its reliability, and interpretations of AI-generated answers should be approached judiciously due to potential restrictions in multi-step analysis and reliance on outdated data. Future advancements in AI models, with refinements and tailored enhancements, offer the potential for improved performance. Copyright © 2023

Smart glasses use experience of nursing graduate students: qualitative study.

Mon, 22 Apr 2024 04:00:00 +0000

BMC Nursing; 04/22/2024
Background: Immersive technologies such as smart glasses can benefit nursing training and clinical practice. In this paper, we explore the views of nursing graduate students about their experience with smart glasses. Methods: Nursing graduate students (n = 13) were recruited using purposeful sampling. First, a virtual reality intervention for hyperglycemia in nursing care was shown. This was an attempt to introduce people to the technology and start discussions about how it might be used in nursing care. After that, participants underwent online interviews. Thematic analysis was used to examine the data. Results: The study findings indicated that the use of smart glasses as an enjoyable learning experience and immersive games positively affects nursing students. In addition, it was determined that they had negative experiences such as costs, lack of infrastructure, and smart glass side effects. Conclusions: Smart glasses indicate good usability and availability in nursing education and potential for use in hospital nursing practice.
(AN 176757433); ISSN: 14726955
CINAHL Complete

Evaluation of the GeSRU-Steps educational video concept (German Society of Residents in Urology e.V.)

Sat, 20 Apr 2024 08:30:23 +0000

Author Names: Nestler T.,Hircin E.,Siech C.,Moharam N.,Mattigk A.,Borgmann H.,Kuru T.H.,Salem J.

Database Source: Embase Weekly Updates

Journal Title: Urologie

Article Title: Evaluation of the GeSRU-Steps educational video concept (German Society of Residents in Urology e.V.),Evaluierung des GeSRU-Steps-Lehrvideokonzepts (German Society of Residents in Urology e.V.)

Year: 2024

Issue: 4

Volume: 63

Abstract: Background: Surgical educational videos represent a contemporary, multimedia supplement to surgical education and training. The German Society of Residents in Urology e.V. (GeSRU) developed an educational video platform (steps.GeSRU.de) with free, quality-assured educational videos for urologists, especially for residents. Objective(s): The purpose of this study was to evaluate the GeSRU Steps teaching videos. Material(s) and Method(s): Prospectively, 29 GeSRU Steps training videos were made available (03/2019-05/2023) via amboss.com, and an online questionnaire was inserted following the videos. This comprised 12 items on medical, technical, and didactic quality, usefulness for own knowledge acquisition, and sociodemographic data of respondents. Aspects of video quality were assessed with the Acceptability E-scale and the Global Quality Score. Result(s): During the survey period, the GeSRU Steps videos implemented on the amboss.com website were viewed 49,698 times. A total of 474 questionnaires were answered (rate 0.25%). The collective of respondents consisted of 419 (88%) students, 47 (10%) physicians in training, and 5 (1%) specialists; 351 (74%) were female, 107 (23%) were male, and 4 (1%) were diverse. Each educational video was rated a median of 10 times (range 5-65). The six questions of the Acceptability E-scale and the Global Quality Score were rated good and very good (81.6-95.8%), respectively. Conclusion(s): GeSRU teaching videos achieved a very good rating with high user satisfaction. By specific promotion of these teaching videos, which are quality-assured through supervision, the portfolio of surgical videos available at a low threshold can be expanded and can serve as a contemporary education tool. Copyright © The Author(s) 2023.

The use of mobile thermal imaging and machine learning technology for the detection of early surgical site infections

Sat, 20 Apr 2024 08:30:23 +0000

Author Names: Prey B.J.,Colburn Z.T.,Williams J.M.,Francis A.D.,Vu M.,Lammers D.,McClellan J.,Bingham J.R.

Database Source: Embase Weekly Updates

Journal Title: American Journal of Surgery,American Journal of Surgery

Article Title: The use of mobile thermal imaging and machine learning technology for the detection of early surgical site infections

Year: 2024

Issue:

Volume: 231

Abstract: Background: Surgical Site Infections (SSI) yield subtle, early signs that are not readily identifiable. This study sought to develop a machine learning algorithm that could identify early SSIs based on thermal images. Method(s): Images were taken of surgical incisions on 193 patients who underwent a variety of surgical procedures. Two neural network models were generated to detect SSIs, one using RGB images, and one incorporating thermal images. Accuracy and Jaccard Index were the primary metrics by which models were evaluated. Result(s): Only 5 patients in our cohort developed SSIs (2.8%). Models were instead generated to demarcate the wound site. The models had 89-92% accuracy in predicting pixel class. The Jaccard indices for the RGB and RGB + Thermal models were 66% and 64%, respectively. Conclusion(s): Although the low infection rate precluded the ability of our models to identify surgical site infections, we were able to generate two models to successfully segment wounds. This proof-of-concept study demonstrates that computer vision has the potential to support future surgical applications. Copyright © 2023

Scientific pertinence of developing machine learning technologies for the triage of COVID-19 patients: A bibliometric analysis via Scopus

Sat, 20 Apr 2024 08:30:23 +0000

Author Names: Ballaz S.,Pulgar-Sanchez M.,Chamorro K.,Fernandez-Moreira E.

Database Source: Embase Weekly Updates

Journal Title: Informatics in Medicine Unlocked

Article Title: Scientific pertinence of developing machine learning technologies for the triage of COVID-19 patients: A bibliometric analysis via Scopus

Year: 2023

Issue:

Volume: 41

Abstract: The COVID-19 pandemic poses challenges in terms of diagnosis, as existing tests often fail to consistently distinguish COVID-19 pneumonia from other acute respiratory infections. Although the integration of machine learning (ML) with diagnostic procedures holds promise in addressing this issue, a comprehensive understanding of the current scientific relevance and trends of this approach has not yet been undertaken. In this study, it was conducted a bibliometric analysis to explore the significance of developing ML-based algorithms for triaging COVID-19 patients. By querying the Scopus database and employing the Bibliometrix package in R software, a dataset was obtained and analyzed. VOSviewer software was chosen to construct bibliometric networks. From January 2020 to mid-2022, a total of 1309 articles across 572 journals have been published on ML-assisted COVID-19 diagnosis, treatments, and prognosis. Notably, Scientific Reports and Computers in Biology and Medicine have seen considerable contributions. The analysis involved 6086 institutions across ninety countries, with the United States and China being the most impactful. The Massachusetts General Hospital and Harvard Medical School emerge as key institutions, while Hao Chen from Westlake University (China) stands out among 10414 authors. Two major research trends were identified: the use of Random Forest ML algorithms with laboratory datasets for COVID-19 mortality prognosis, and the analysis of chest CT and X-ray images for early COVID-19 detection using Convolutional Neural Networks (Deep Learning). In summary, this bibliographic analysis discusses the rationale of selecting Scopus as the primary database, outlines a detailed methodology for evaluating article quality, addresses the limitations of co-citation network analysis, and explores potential variations in the adoption of different ML algorithms for COVID-19 diagnosis, treatment, and prognosis. Copyright © 2023

Erratum: Screening of anxiety and depression among seafarers using machine learning technology (Informatics in Medicine Unlocked (2019) 16, (S235291481830193X), (10.1016/j.imu.2018.12.004))

Sat, 20 Apr 2024 08:30:23 +0000

Author Names: Sau A.,Bhakta I.

Database Source: Embase Weekly Updates

Journal Title: Informatics in Medicine Unlocked

Article Title: Erratum: Screening of anxiety and depression among seafarers using machine learning technology (Informatics in Medicine Unlocked (2019) 16, (S235291481830193X), (10.1016/j.imu.2018.12.004))

Year: 2019

Issue:

Volume: 16

Abstract: BACKGROUND: Seafarers are vulnerable to suffering from various mental health disorders, most commonly anxiety and depression. Therefore, periodic screening for anxiety and depression is necessary for their health and well-being. Machine learning technology may be useful as a rapid, automated screening procedure to identify at risk seafarers for early referral to psychological counselling and treatment. Objective(s): To compare the performance of machine learning algorithms for screening of anxiety and depression among seafarers. Method(s): A total 470 seafarers were interviewed at Haldia Dock Complex, India, after obtaining necessary permissions and ethical clearance. Various socio-demographic, occupational, and health-related information were collected. Then presence of anxiety and depression was assessed by the Hospital Anxiety and Depression Scale. Five machine learning classifiers i.e., CatBoost, Logistic Regression, Naive Bayes, Random Forest, and Support Vector Machine, were evaluated using the Python programming language. Result(s): CatBoost appeared to be the most satisfactory measure for this purpose, with an accuracy and precision 82.6% and 84.1%, respectively. Conclusion(s): This study emphasizes the application of machine learning technology in the field of automated screening for mental health illness. Using this technology, a manually derived and time consuming screening procedure for anxiety and depression can be replaced by an automated computer based analysis technique with a degree of accuracy sufficient for screening purposes. Copyright © 2019

Personalised learning in higher education for health sciences: a scoping review protocol

Sat, 20 Apr 2024 08:30:23 +0000

Author Names: Ali M.,Wahab I.B.A.,Huri H.Z.,Yusoff M.S.

Database Source: Embase Weekly Updates

Journal Title: Systematic Reviews,Systematic Reviews

Article Title: Personalised learning in higher education for health sciences: a scoping review protocol

Year: 2024

Issue: 1

Volume: 13

Abstract: Background: Personalised learning, an educational approach that tailors teaching and learning to individual needs and preferences, has gained attention in recent years, particularly in higher education. Advances in educational technology have facilitated the implementation of personalised learning in various contexts. Despite its potential benefits, the literature on personalised learning in health sciences higher education remains scattered and heterogeneous. This scoping review aims to identify and map the current literature on personalised learning in health sciences higher education and its definition, implementation strategies, benefits, and limitations. Method(s): A comprehensive search of electronic databases, PubMed, Scopus, Google Scholar, Educational Research Complete, and Journal Storage (JSTOR), will be conducted to identify relevant articles. The search will be limited to articles published in the English language between 2000 and 2023. The search strategy will be designed and adapted for each database using a combination of keywords and subject headings related to personalised learning and health sciences higher education. Eligibility criteria will be applied to screen and select articles. Data extraction and quality assessment will be performed, and thematic synthesis will be used to analyse the extracted data. Discussion(s): The results of the scoping review will present a comprehensive and coherent overview of the literature on personalised learning in health sciences higher education. Key themes and topics related to personalised learning, its definitions, models, implementation strategies, benefits, and limitations, will be identified. The geographical and temporal distribution of research on personalised learning in health sciences higher education will also be described. This scoping review will provide a structured synthesis of the available evidence on personalised learning in health sciences higher education, highlighting potential gaps and areas for future research. The findings will contribute to ongoing scholarly and policy debates on personalised learning in higher education, informing the development of best practices, guidelines, and future research agendas. Copyright © The Author(s) 2024.

Educational technologies aimed at promoting knowledge of the disease inpatients with heart failure

Sat, 20 Apr 2024 08:30:23 +0000

Author Names: De Araujo S.S.,Da Silva C.G.,De Oliveira Mangueira S.,Vasconcelos Morais S.C.R.,De Carvalho Lira A.L.B.,De Queiroz Frazao C.M.F.

Database Source: Embase Weekly Updates

Journal Title: Index de Enfermeria,Index de Enfermeria

Article Title: Educational technologies aimed at promoting knowledge of the disease inpatients with heart failure,Tecnologias educativas dirigidas a promover el conocimiento de la enfermedad en pacientes con insuficiencia cardiaca

Year: 2021

Issue: 3

Volume: 30

Abstract: Objective: To identify the educational technologies used to promote the acquisition of knowledge about the disease in patients with heart failure. Method(s): Integrative review, with searches in the databases: MEDLINE, CINAHL, SCOPUS, Web of Science and LILACS, through the descriptors "Heart Failure", "Knowledge" and "Health Education". The final sample consisted of 24 articles. Result(s): Among the educational technologies used, audio/audiovisual/digital materials, educational games and printed/written materials were identified. Conclusion(s): The technologies were classified as mild-hard and hard, evidencing the improvement in the practice of self-care and self-management of patients. Copyright © 2021, Fundacion Index. All rights reserved.

APPLICATION OF MACHINE LEARNING TECHNOLOGY TO AUTOMATE PROXIMAL AORTA DIMENSION BY ECHOCARDIOGRAPHY.

Wed, 03 Apr 2024 04:00:00 +0000

Journal of the American College of Cardiology (JACC); 04/03/2024
(AN 176124017); ISSN: 07351097
CINAHL Complete

Differences in the perception of the role of instructors among Western and Chinese students in online teaching practices.

Mon, 01 Apr 2024 04:00:00 +0000

Journal of Computer Assisted Learning; 04/01/2024
Background: The global introduction of complex measures directed at the containment of the COVID‐19 spread has spurred a massive shift to distance learning among educational institutions. As far as such a learning mode is rather forced and, probably, only a few establishments faced no difficulties with it, the matter of assuring teaching activities' effectiveness in the practice of e‐learning is relevant. Objectives: The main purpose of this article was to assess the efficiency of online‐based tools and technologies in the context of distance education and develop a set of recommendations aimed at improving the effectiveness of online teaching. Methods: The research methodology was based on an empirical approach presupposing an exploratory questionnaire survey addressed to university students. As for the e‐learning platform used, the focus was set on Microsoft Teams. Results and Conclusions: In general, the conducted investigation unveiled that the perception of the role of the instructor differs among Western and Chinese students in terms of willingness to accept psychological help and the feeling of safety during online lessons. Given this, it is reasonable to pay more attention to the psychological well‐being of international students. The comprehensive analysis of survey outcomes allowed the development of a set of recommendations able to enhance the effectiveness of teaching in online settings. These encompass, for example, giving preference to small student group formations, setting greater emphasis on means increasing students' motivation to learn, involvement of instructors in the development and delivery of video lectures, the introduction of automated student assessment, use of multimedia information, and informing students about possible ways of interaction. Lay Description: What is already known about this topic: The comprehensive analysis of survey outcomes allowed developing a set of recommendations able to enhance the effectiveness of teaching in online settings.The most convenient digital features during e‐learning implementation were instant access to information and the availability of a shared chat room.Pre‐pandemic electronic learning was often criticized for insufficient student engagement and social interaction, leading to the need to increase student engagement through interactive online activities, virtual group projects, online discussion forums, and accessibility. What this paper adds: In general, the conducted investigation unveiled that perception of the role of instructor differs among Western and Chinese students in terms of willingness to accept psychological help and the feeling of safety during online lessons.It appeared that international students are more exposed to stress factors and are less likely to trust an educator to the degree allowing them to ask for help.It was possible to develop a set of recommendations aimed at improving the effectiveness of teaching activities during e‐learning through an in‐depth analysis of survey results. Implications for practice and/or policy: Several implications for future investigations can be identified, namely: conducting further studies on the psychological well‐being of international students in online learning, examining cross‐cultural differences, exploring the effectiveness of teaching practices, and addressing broader social issues and consequences.Further research should focus on institutions across China to generalize the results obtained and formulate more reliable inferences.Another limitation is related to the instructors themselves. This variation in specialization among participants could have had an impact on the study's results, but it was not possible to address this issue within the constraints of the current research design.
(AN 176012463); ISSN: 02664909
CINAHL Complete

New Products.

Mon, 01 Apr 2024 04:00:00 +0000

Hearing Review; 04/01/2024
(AN 176494397); ISSN: 10745734
CINAHL Complete

Orbis, FundamentalVR team up to target training: Cataract simulation platform uses virtual reality to train ophthalmologists.

Mon, 01 Apr 2024 04:00:00 +0000

Ophthalmology Times; 04/01/2024
(AN 176578176); ISSN: 0193032X
CINAHL Complete

The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review.

Mon, 25 Mar 2024 04:00:00 +0000

Patient Safety in Surgery; 03/25/2024
Machine learning algorithms have the potential to significantly improve patient safety in spine surgeries by providing healthcare professionals with valuable insights and predictive analytics. These algorithms can analyze preoperative data, such as patient demographics, medical history, and imaging studies, to identify potential risk factors and predict postoperative complications. By leveraging machine learning, surgeons can make more informed decisions, personalize treatment plans, and optimize surgical techniques to minimize risks and enhance patient outcomes. Moreover, by harnessing the power of machine learning, healthcare providers can make data-driven decisions, personalize treatment plans, and optimize surgical interventions, ultimately enhancing the quality of care in spine surgery. The findings highlight the potential of integrating artificial intelligence in healthcare settings to mitigate risks and enhance patient safety in surgical practices. The integration of machine learning holds immense potential for enhancing patient safety in spine surgeries. By leveraging advanced algorithms and predictive analytics, healthcare providers can optimize surgical decision-making, mitigate risks, and personalize treatment strategies to improve outcomes and ensure the highest standard of care for patients undergoing spine procedures. As technology continues to evolve, the future of spine surgery lies in harnessing the power of machine learning to transform patient safety and revolutionize surgical practices. The present review article was designed to discuss the available literature in the field of machine learning techniques to enhance patient safety in spine surgery.
(AN 176727471); ISSN: 17549493
CINAHL Complete

Optimal design feature of computer-assisted reading instruction for students with reading difficulties? A Bayesian network meta-analysis.

Fri, 01 Mar 2024 05:00:00 +0000

Computers in Human Behavior; 03/01/2024
Mayer (2017, 2020) proposed three major design features of computer-assisted instructions (CAI) within the Cognitive Theory of Multimedia Learning: reducing extraneous processing (i.e., excluding irrelevant content), managing essential processing (i.e., focusing on the complex but essential learning materials), and fostering generative processing (i.e., maximizing learner motivation with multimedia features). No study so far has systematically evaluated each design feature, or their combinations for students with reading difficulties. The present study is the first meta-analysis to investigate the optimal design features of CAIs for students with reading difficulties on their decoding/word reading and reading comprehension performance. A total of 49 experimental studies were reviewed with Bayesian network meta-analysis. Results showed that CAI programs with features that reduced extraneous processing were the most effective (g = 0.65) followed by programs that combined reducing extraneous processing, managing essential processing, and fostering generative processing (g = 0.29) as well as programs that combined reducing extraneous processing and managing essential processing (g = 0.27). CAI programs yielded larger effects when they were designed for younger learners with reading difficulties compared to older learners. No significant moderation effects were observed for students' reading difficulty status, reading content, reading outcomes, instruction dosages, control group types, measures, and fidelity checks. These findings suggest that different combinations of design features of CAI programs may generate different effects. Lowering students' cognitive loads by excluding irrelevant content may be the foundation for designing effective computer instructions for students with reading difficulties. • Focus on the design feature of computer assisted instruction on reading difficulties • Network meta-analysis is utilized to explore various combinations of design features • Reducing extraneous processing is an active-ingredient design feature • Different combinations of design features generate different effects on reading
(AN 174471213); ISSN: 07475632
CINAHL Complete

Artificial Intelligence in Environmental Health: Education and Practice.

Fri, 01 Mar 2024 05:00:00 +0000

Journal of Environmental Health; 03/01/2024
(AN 175488190); ISSN: 00220892
CINAHL Complete

Evidence-Based Classroom Observation Technique: An Interdisciplinary, Structured Approach to Classroom Observation.

Fri, 01 Mar 2024 05:00:00 +0000

Nursing Education Perspectives (Wolters Kluwer Health); 03/01/2024
Classroom observation is commonplace in higher education, but the process itself varies from school to school. A literature search revealed a lack of structured tools and universal interdisciplinary processes for postsecondary classroom observation. Thus, the Evidence-Based Classroom Observation Technique was developed to include both the tool and the interdisciplinary process.
(AN 175554476); ISSN: 15365026
CINAHL Complete

Development of a Metaverse Online Learning System for Undergraduate Nursing Students: A Pilot Study.

Fri, 01 Mar 2024 05:00:00 +0000

Nurse Educator; 03/01/2024
Background: An active online learning environment enables 2-way communication wherein students can engage in problem-based learning and projects, unlike fragmented lecture-style classes. Purpose: This pilot study aimed to develop a metaverse-based online learning system and evaluate its usability. Methods: A rapid prototyping model and Gather.town was used to design and develop a metaverse classroom. Participants were 10 nursing students from a college in South Korea. To evaluate usability, 10 tasks were configured and 2 pilot tests were conducted. The degree of difficulty, time required to perform tasks, and students' experience were investigated. Results: The Metaverse for Education of Nursing Students was successfully completed, incorporating student feedback and addressing identified areas for improvement. Conclusion: This study reflects a learner-centered educational environment through the direct participation in the development process of the instructors who conducted the lectures. The metaverse space can be widely applied in creative nursing education in the future.
(AN 175727080); ISSN: 03633624
CINAHL Complete

"Learning is about being active, but the digital is not really active": physiotherapy teachers' attitudes toward and experiences with digital education.

Fri, 01 Mar 2024 05:00:00 +0000

Physiotherapy Theory & Practice; 03/01/2024
Digital education is expected to transform higher education teaching and learning. Despite high expectations, higher education teachers have been slow to implement active digital learning. The aim of this study was to investigate physiotherapy teachers' attitudes toward and experiences with digital education and what the teachers' considered prerequisites to a digital transformation of teaching and learning in physiotherapy. Qualitative in-depth interviews were conducted with 12 teachers in physiotherapy education. The interviews were analyzed using inductive thematic analysis. The findings illuminate teachers' attitudes toward and experiences with digital education and their views on prerequisites to a digital transformation of teaching and learning in physiotherapy education, presented as four themes: 1) skepticism toward digital education; 2) digital technology as a tool to support the established teaching practice; 3) longing for teacher collaboration; and 4) calling for time to plan and learn, and significant academic leadership. This study shows how physiotherapy teachers are skeptical about digital education, primarily viewing it as a threat to established teaching practices. Taken together, the findings demonstrate a potential for digital transformation in physiotherapy education, which can be released by informing the current teaching practices with evidence from research showing how use of digital technology can improve teaching and learning in physiotherapy education.
(AN 175723230); ISSN: 09593985
CINAHL Complete

The intersect of metaverse, education and mental health: an in-depth analysis...Arofah L, Hanurawan F, Ramli M, et al., Predicting student engagement and mental health issues in the metaverse environment. Journal of Public Health. 2023, 45(4), e789-e790.

Fri, 01 Mar 2024 05:00:00 +0000

Journal of Public Health; 03/01/2024
(AN 176131385); ISSN: 17413842
CINAHL Complete

Blended Learning Immersive Technology: A New Frontier in Interdisciplinary Healthcare...The Association of Schools Advancing Health Professions, Annual Conference, October 17-19, 2023, Fort Lauderdale, Florida.

Fri, 01 Mar 2024 05:00:00 +0000

Journal of Allied Health; 03/01/2024
Purpose: The global pandemic highlighted the urgency for providing novel approaches to healthcare education as the complexities of patient care evolves rapidly. This presentation will demonstrate the utilization of two new technologies: (a): holoportation and (b) Blended Learning Interactive Simulation Suite (BLISS). Methods: Participants will learn about immersive technology integrations and how it is being implemented into healthcare education. Advantages and lessons learned from implementation will be outlined. Integration with other emerging technology across topics related to patient safety, lived experiences, symptoms profile, social determinants of health, empathy, and overall care will be addressed. Conclusion: Discussion will focus on ways the technology is currently used across a variety of healthcare disciplines along with emerging research documenting learner outcomes.
(AN 176142310); ISSN: 00907421
CINAHL Complete

Leveraging Holoportation To Improve Student Learning in Pediatric Physical Therapy...The Association of Schools Advancing Health Professions, Annual Conference, October 17-19, 2023, Fort Lauderdale, Florida.

Fri, 01 Mar 2024 05:00:00 +0000

Journal of Allied Health; 03/01/2024
Issue: Holoportation may improve student learning in pediatric physical therapy. Method: Holoportation offers an innovative approach to teaching observation and critical thinking in physical therapy students. Holoportation technology allows for the recording or a live beam of a 3-D life-size image of an individual. A pediatric library was created including recordings of mothers and children from three months through 10 years of age with and without disabilities. Recordings were embedded into lectures and afforded students the opportunity to observe development, compare skills across ages, and identify possible red flags. Outcomes: These learning experiences were positively received by students. Students demonstrated mastery of developmental milestones and identification of red flags. In addition, students preferred the holoportation experience to still images or online recordings. Research opportunities are being explored which will capture the impact of learning experiences on students including measures of student engagement. Conclusions: Holoportation offers an innovative approach for teaching students.
(AN 176142361); ISSN: 00907421
CINAHL Complete

The impact of student computer competency on e‐learning outcomes: A path analysis model of virtual learning infrastructure, collaboration, and access to electronic facilities.

Fri, 01 Mar 2024 05:00:00 +0000

Nursing Open; 03/01/2024
(AN 176335605); ISSN: 20541058
CINAHL Complete

Positive Aspects and Potential Drawbacks of Implementing Digital Teaching/Learning Scenarios in Health Professions Using Nursing Education as an Example: A Research Report from Germany.

Fri, 01 Mar 2024 05:00:00 +0000

Nursing Reports; 03/01/2024
Background: Learning arrangements in health care profession education are increasingly taking place in digital environments. Virtual reality (VR) in nursing education, as a digital element, is the subject of controversial debate. On one hand, it supports the authenticity of case studies by adding realistic perspectives and information. On the other hand, the costs of developing and maintaining software and hardware hinder its long-term implementation. Based in the German context, our aim is to promote the adoption of innovative digital methods in nursing education and to offer invaluable experiences from the field. Methods: In this paper, we describe our findings and insights from two different research projects focused on the incorporation of digital tools, particularly VR, into nursing education. Results: Starting with a brief recapitulation of the projects, we elucidate pedagogical strategies for embedding VR-driven scenarios in nursing education. Based on our experiences during the projects, we identify various positive aspects, such as changing perspective and simulating acute situations. Key findings: Although potential drawbacks remain, we advocate the long-term implementation and specific use of VR at the interface between theory and practice. Nevertheless, it is crucial to establish regular evaluation, observing the value of digitalisation, especially VR, for nursing education.
(AN 176364825); ISSN: 2039439X
CINAHL Complete

Driving OHS development through technology partnerships.

Fri, 01 Mar 2024 05:00:00 +0000

OHS Professional; 03/01/2024
(AN 176638717)
CINAHL Complete

The Goal Setting Challenge App: Promoting Self-Determination Through Technology.

Thu, 01 Feb 2024 05:00:00 +0000

Remedial & Special Education; 02/01/2024
Promoting student self-determination is recognized as the best practice in secondary transition planning. Few self-determination interventions have utilized technology to provide individualized learning opportunities. The Goal Setting Challenge (GSC) App was developed to provide a technology-based instructional approach to support developing self-determination. The purpose of this single-case study was to evaluate the impact of the GSC App on self-determination knowledge outcomes for students with disabilities and explore the feasibility of students' use of the App in transition planning over an academic semester. Results were significantly impacted due to the COVID-19 pandemic; however, this created opportunities to explore feasibility during in-person instruction and the unprecedented shift to remote learning. Findings suggest mixed results related to outcomes for student use and feasibility but suggest the possibility of the App providing a student-friendly means for engaging in self-determination instruction during in-person and remote instruction. Limitations and implications for future research and practice are discussed.
(AN 174788630); ISSN: 07419325
CINAHL Complete

The effects of video‐driven discussions integrated into the flipped classroom model on learning achievement, practical performance, and higher‐order thinking skills in dental education.

Thu, 01 Feb 2024 05:00:00 +0000

Journal of Computer Assisted Learning; 02/01/2024
Background: Flipped classroom (FC) model has become increasingly popular in dental education (DE) with its strengths for students. However, major concerns are lack of interaction, unwillingness to complete the assignments, low engagement during the pre‐class activities because of an unwell‐designed instructional setting of FC. Objectives: The recent study aims to investigate the effects of video‐driven discussions integrated into the flipped classroom (VdDs‐FC) model on dental students' (DSs) learning achievement, practical performance, and higher‐order thinking skills in a restorative dentistry course. Methods: This study adopted a sequential explanatory design from mixed‐methods research. A total of 96 DSs participated in a dentistry faculty of Türkiye. They were randomly divided into two groups: VdDs‐FC group and the conventional flipped classroom (c‐FC) group. Results and conclusions: The results showed that the VdDs‐FC model had significant positive effects on the practical performance of DSs in practical subjects and their problem‐solving and critical thinking skills. However, there was no significant difference between the two groups in learning achievement and creativity. The use of FC in the c‐FC group did not lead to any difference in the students' achievements. Moreover, the qualitative results indicated that the VdDs‐FC model has the potential for enhancing peer learning, practical classroom activities, and higher‐order thinking skills. Implications: This study also includes several instructional implications and suggestions for educators, researchers, and practitioners on use of FC in dentistry. Lay Description: What is already known about this topic: Flipped learning has become a rapidly growing area of dentistry research.Discussion board could be beneficial to increasing dental students' higher order thinking skills, especially problem solving and critical thinking.Video‐driven discussions into flipped classroom provide several opportunities for practical performance in dental education, not for theoretical knowledge. What this paper adds: Video‐driven discussions into flipped classroom model is proposed.We compared two learning environments by including traditional flipped classroom.We found that the integrated model with flipped classroom can have a positive impact on students' achievement.Online discussions usage contributed to higher cognitive, affective, and behavioural learning outcomes.Based on interview data, the proposed model supports peer learning. Implications for practice and/or policy: Dental educators should integrated the digital discussion boards as out‐of‐class activities in the pre‐clinical dental training.From dental educators' perspective, they should be carefully trained in FC design (interaction elements, material design, integration with different methods, etc.).From instructional design perspective, micro videos should have case‐based or problem‐based activities to discuss.From learner perspective, an integration of the flipped classroom with different technologies could have a positive effect on increasing learning.
(AN 174818399); ISSN: 02664909
CINAHL Complete

The Development and Implementation of an Evidence-Based Tumescent Liposuction Protocol, Online Educational Course for Perioperative Staff, and Discharge Instructions: A Quality Improvement Project.

Thu, 01 Feb 2024 05:00:00 +0000

Journal of PeriAnesthesia Nursing; 02/01/2024
The purpose of this quality improvement project was to improve perioperative management of patients undergoing tumescent liposuction (TL) through the development and implementation of a perioperative evidence-based protocol, educational course for perioperative staff, and patient discharge instructions. The TL protocol was validated using the modified Delphi process. The educational course and discharge instructions used a pre and postimplementation design. An evidence-based protocol, an educational course for perioperative staff, and readable discharge instructions for patients undergoing TL were developed in accordance with best practice guidelines. The protocol was validated by subject matter experts at the facility and submitted for adoption. The evidence-based educational course was implemented, and the effectiveness of the course was evaluated for improving providers' knowledge and self-confidence. The evidence-based discharge instructions were implemented and evaluated for patient satisfaction and readability. Three items were removed from the protocol, 2 items were modified, and 25 items were accepted with no change from modified Delphi analysis. Provider knowledge scores improved from 85.7% ± 16.18 to 97.1% ± 4.88; however, this was not statistically significant (P =.066). There was a trend toward improved confidence scores (P =.180). Overall patient satisfaction scores slightly improved postimplementation; results were not statistically significant (P >.05). All three phases of perioperative care in patients receiving TL were evaluated, reflecting best practice guidelines and successful adoption. There was no statistically significant improvement in provider knowledge, provider self-confidence, or patient satisfaction. A small sample size was a significant limiting factor.
(AN 174974930); ISSN: 10899472
CINAHL Complete

Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.

Thu, 01 Feb 2024 05:00:00 +0000

Journal of Alzheimer's Disease; 02/01/2024
(AN 175258747); ISSN: 13872877
CINAHL Complete

ITMI: The use of Immersive Technologies to promote Moral Intuitions.

Thu, 01 Feb 2024 05:00:00 +0000

CyberPsychology, Behavior & Social Networking; 02/01/2024
(AN 175460424); ISSN: 21522715
CINAHL Complete

Promoting Visual Perspective-taking Skills in an Adolescent with Autism and Intellectual Disabilities Using Multi-View Videos: A Pilot Case Study.

Thu, 01 Feb 2024 05:00:00 +0000

Journal of Developmental & Physical Disabilities; 02/01/2024
Taking the visual perspective of another individual is an important skill in social communication, and is termed visual perspective-taking (VPT). Individuals with autism spectrum disorder who have deficits in social interaction show relatively lower performance on VPT tasks than individuals who achieve age-appropriate developmental milestones. Thus, researchers have attempted to teach VPT skills and component behaviors to children with autism spectrum disorder. This pilot study evaluated the effects of a technology-based intervention on VPT skills in an adolescent male with autism spectrum disorder and moderate intellectual disabilities using a multiple-probe across behaviors design. Using a training package composed of multi-view videos with feedback, we trained the participant to discriminate whether the experimenter could see an object and to discriminate between right or left based on the experimenter's perspective. The results showed that the percentage of correct responses for each skill increased when the training package was applied. Furthermore, we observed generalization of VPT skills to untrained lab and natural environment settings. We discussed (1) the possibility that training multiple exemplars resulted in broad generalization, (2) the effectiveness of experiencing other people's perspectives when training VPT skills, and (3) the potential and limitations of multi-view videos for clinical application based on the results of the social validity questionnaire.
(AN 175697442); ISSN: 1056263X
CINAHL Complete

Creation and beta testing of a "choose your own adventure" digital simulation to reinforce motivational interviewing skills in genetic counseling.

Thu, 01 Feb 2024 05:00:00 +0000

Journal of Genetic Counseling; 02/01/2024
Standardized patients and/or role‐playing are commonly used for practicing genetic counseling (GC) skills. Use of digital simulation, incorporating gamification elements, would require fewer resources to sustain than standardized patients. This manuscript reports steps taken and the lessons learned from creating a digital "Choose your own adventure" simulation in which students select preferred dialog for a genetic counselor who is seeing an adult patient to discuss genetic testing for the known pathogenic variant that caused familial adenomatous polyposis (FAP) in their father. The case has three endings, one of which is attained by selecting options that are mostly consistent with motivational interviewing counseling techniques. We conducted a preliminary evaluation of our beta version among nine GC students and one educator using a survey to assess acceptability and appropriateness as well as to elicit open‐ended feedback. All participants agreed or strongly agreed with statements indicating the case was acceptable, appropriate, and fun. Users particularly appreciated the immediate feedback given throughout the case simulation. Many users wanted more options to select from and listed various other recommendations, including several which would require substantial resources to implement.
(AN 175799620); ISSN: 10597700
CINAHL Complete

Harnessing the Potential of Artificial Intelligence and Machine Learning Technologies in Building the Future of Healthcare Services.

Thu, 01 Feb 2024 05:00:00 +0000

Indian Practitioner; 02/01/2024
The immense potential of Artificial Intelligence (AI) and Machine Learning (ML) can enhance and revolutionize current and future healthcare. It can have widespread applications ranging from medical technology in diagnosis and treatment, manufacturing of medicines, improving healthcare administration and economics, upgrading medical education, skill and training, as well as in medical data management and analysis. It is imperative for doctors, healthcare practitioners as well as all healthcare workers and allied healthcare personnel to orient and familiarize themselves with AI and adapt to its incorporation and application in healthcare.
(AN 175934929); ISSN: 00196169
CINAHL Complete

Development and Evaluation of Nursing Clinical Practice Education Using M-Learning.

Mon, 15 Jan 2024 05:00:00 +0000

Healthcare (2227-9032); 01/15/2024
(AN 175076270); ISSN: 22279032
CINAHL Complete

Nursing rights in comics: educational technological innovation report.

Fri, 05 Jan 2024 05:00:00 +0000

Revista Brasileira de Enfermagem; 01/05/2024
Objectives: to report an educational technology construction on nursing professionals' rights. Methods: an experience report on educational technology construction during the crediting of university extension hours in an undergraduate nursing course at a Brazilian public university, between March and June 2023. The Deming cycle was used as a procedural method. Results: four meetings were held between students and extension workers. Eight comic books were produced based on the Code of Ethics for Nurses, addressing professional autonomy, fair remuneration, risk-free work, denial of exposure in the media and others. The Deming cycle proved to be an important strategy for constructing products. Conclusions: nursing professionals' rights must be discussed and improved. Educational technologies, such as comic books, provide playful and reflective learning.
(AN 176354858); ISSN: 00347167
CINAHL Complete

Educational technologies on tuberculosis for health professionals: a scoping review protocol.

Tue, 02 Jan 2024 05:00:00 +0000

Online Brazilian Journal of Nursing; 01/02/2024
Objective: To map educational technologies on tuberculosis targeted at physicians, nurses, nursing technicians, and community health agents. Method: A scoping review protocol was developed following the approach of the Joanna Briggs Institute. The research question posed was: what are the educational technologies on tuberculosis for health professionals? Two independent reviewers will participate in the study selection process, which will involve assessing titles and abstracts based on established eligibility criteria. The search results and study selection process will be displayed using the Preferred Reporting Items for Systematic reviews and Meta- Analyses extension for Scoping Reviews (PRISMA-ScR) flowchart. The reviewers will utilize a data extraction tool in the form of a spreadsheet in Microsoft Excel. Data will be analyzed and presented in tables, charts, and flowcharts to facilitate result visualization.
(AN 176164772); ISSN: 16764285
CINAHL Complete

From luddite to luminary: Implementing technology in healthcare education.

Mon, 01 Jan 2024 05:00:00 +0000

Learning technology in health professions education: Realising an (un)imagined future.

Mon, 01 Jan 2024 05:00:00 +0000

Educational game improves systems thinking, socialization, and teamwork among students of 13 health professions programs.

Mon, 01 Jan 2024 05:00:00 +0000

Journal of Interprofessional Care; 01/01/2024
Systems thinking and interprofessional collaborative practice competencies are critical to inculcate in students of health professions programs. The purpose of this study was to evaluate the impact that an interprofessional education (IPE) experience consisting of an educational game, Friday Night at the ER (FNER), and structured debriefing had on students' systems thinking and self-assessed interprofessional socialization and teamwork skills. Systems thinking was evaluated using the Systems Thinking Scale (STS), and interprofessional socialization and teamwork were evaluated using a modified Interprofessional Socialization and Valuing Scale-9 (ISVS-9) and Interprofessional Collaboration Competency Attainment Scale (ICCAS) question #21. This single-center study targeted students in 13 health professions programs. In the cohort (N of 626), Systems thinking increased significantly. Interprofessional socialization increased significantly, with a large effect size, and 485 (78%) students indicated their interprofessional collaborative practice competencies improved. Program evaluation data revealed students highly valued the experience and would recommend it to their peers. Based on our findings, an IPE experience consisting of FNER gameplay and structured debriefing can improve systems thinking and interprofessional socialization and teamwork in a large, diverse group of students of health professions programs.
(AN 174756484); ISSN: 13561820
CINAHL Complete

Harnessing the benefits of ChatGPT for radiography education: A discussion paper.

Mon, 01 Jan 2024 05:00:00 +0000

Radiography; 01/01/2024
Radiography education is pivotal in training skilled radiographers for diagnostic imaging and therapeutic applications. With technological advancements, interest in innovative educational tools to enhance traditional teaching methods is growing. This discussion paper explores the possibility of the integration of ChatGPT, a cutting-edge conversational AI language model, into radiography education. We report that ChatGPT offers interactive learning opportunities that can facilitate learning. It also provides self-paced learning, revision platforms, and supports educators in scenario creation, assessment development, group collaboration, and professional and research activities. Despite these benefits, it is important to carefully consider issues related to academic integrity and privacy, along with the opportunities and challenges presented by this new technology in radiography education. This paper highlights some of the prospects and limitations of the potential applications of ChatGPT in radiography education, underscoring the benefits for both students and educators. However, its implementation must be considered thoughtfully and ethically, taking into account its strengths and limitations. Integrating ChatGPT in radiography education has the potential to improve radiography education by improving digital literacy and graduate outcomes of students while streamlining the preparation process for educators. However, ethical implementation is vital for optimal outcomes.
(AN 174761565); ISSN: 10788174
CINAHL Complete

Dual application of interactive whiteboard technology to develop students' clinical judgment skills.

Mon, 01 Jan 2024 05:00:00 +0000

Teaching & Learning in Nursing; 01/01/2024
• There is a need for teaching strategies to develop students' clinical judgment. • Interactive whiteboard technology facilitates clinical judgment skill development. • Educators are provided a framework to develop students' clinical judgment skills. New graduate registered nurses are entering clinical practice with deficient clinical judgment skills. A convergent parallel mixed-methods design was used to describe and evaluate interactive whiteboard technology (IWB) as a method for development of students' clinical judgment skills. Dual application of IWB technology facilitated dynamic, interactive learning in the classroom and simulation laboratory and provided multiple opportunities for students to practice and hone critical thinking and clinical judgment skills. The novelty of this study lies in the unique procedures and methods used in the implementation of IWB technology to develop students' clinical judgment skills. The culmination of data indicates IWB technology promotes clinical judgment skills by providing a visual platform for the early identification of patterns and cues, facilitating team communication and collaborative decision-making. Future quantitative research is needed to examine the effects of IWB technology on clinical judgment to develop generalizable evidence for nursing education.
(AN 174787214); ISSN: 15573087
CINAHL Complete

A New Normal: A Case Study on Changing Strategies in Technology Engagement at an Academic Health Sciences Library.

Mon, 01 Jan 2024 05:00:00 +0000

Medical Reference Services Quarterly; 01/01/2024
As academic libraries shift services to meet the changing needs of patrons after the COVID-19 pandemic, educational technologies and services to support them require updating. Patrons using technology that was once associated with hands-on learning and in-person interactions are preferring flexible and hybrid iterations. In this case study, the authors describe and analyze the pivot of three technology services at the Spencer S. Eccles Health Sciences Library in the post-COVID-19 environment. Technologies discussed include a multimedia studio, virtual reality (VR), and a three-dimensional (3D) printing service. This case study utilizes available usage stats and survey data to demonstrate and provide rationale for the changing strategy in services for each technology "hub." The multimedia studio has been dismantled in favor of the equipment being available for checkout, VR is now available in a staff-supported classroom, and a 3D printing service has been fully automated through an online submission platform. These examples, and the rationale behind changing them, can help offer ideas for other libraries to help find solutions that meet the demands of a changing learning environment.
(AN 174879790); ISSN: 02763869
CINAHL Complete

Interactive Images in Library Instruction: A Case Study.

Mon, 01 Jan 2024 05:00:00 +0000

Medical Reference Services Quarterly; 01/01/2024
This paper discusses the design and implementation of the H5P image hotspots and describes additional use cases for library instruction in order to teach learners from across the country on how different spaces can be used to create private, accessible areas where patrons can conduct telehealth appointments. The Network of the National Library of Medicine created an online class using H5P image hotspots to allow learners to virtually explore a physical space. The class used Moodle, an open-source learning platform, and H5P image hotspots to demonstrate how libraries implemented telehealth programs.
(AN 174879792); ISSN: 02763869
CINAHL Complete

Effect of the case-based learning method combined with virtual reality simulation technology on midwifery laboratory courses: A quasi-experimental study.

Mon, 01 Jan 2024 05:00:00 +0000

International Journal of Nursing Sciences; 01/01/2024
This study aimed to evaluate the effect of case-based learning (CBL) method with virtual reality (VR) simulation technology (CBL-VR) on midwifery laboratory courses. A quasi-experimental design was employed. A total of 135 midwifery students were recruited from Nursing College of Guilin Medical University in China from September 2020 to January 2022. Intervention group recruited students from the Class of 2019 (n = 59) and control group recruited students from the Class of 2018 (n = 76). The intervention group students received the CBL-VR method based on traditional laboratory teaching, the contents of course included four sections: eutocia (6 class hours), dystocia (6 class hours), umbilical cord prolapse (2 class hours), and neonatal asphyxia and resuscitation (4 class hours), 40 min per class hour. The control group students received the traditional laboratory teaching. Students' academic performance, Self-Directed Learning (SDL) Ability Questionnaire, and the education satisfaction questionnaire were used to evaluate the teaching efficacy between two groups. After intervention, the intervention group students achieved higher scores than the control group in individual operation ability (90.88 ± 2.14 vs. 89.24 ± 3.15), team operation ability (90.97 ± 2.33 vs. 81.28 ± 5.45), and midwifery case analysis ability (88.64 ± 3.19 vs. 86.70 ± 2.56) (P ＜0.01). Prior to the implementation of the course, there was no difference in the SDL ability scores between the two groups of students (P ＞ 0.05). However, following the course intervention, the SDL ability scores of the intervention group were higher than those of the control group (94.78 ± 6.59 vs. 88.12 ± 8.36), and the scores in all dimensions of the intervention group were also higher (P < 0.05). Additionally, more than 94% of the students indicated that CBL-VR method developed comprehensive abilities, including independent-study enthusiasm, independent thinking, collaboration, and communication. Using the CBL-VR method in midwifery lab courses improved students' course performance, SDL ability, and comprehensive ability. Students highly recognized the effectiveness of this approach.
(AN 175166319); ISSN: 20966296
CINAHL Complete

Medical education and the epidemics: How educational technology responded.

Mon, 01 Jan 2024 05:00:00 +0000

African Journal of Reproductive Health; 01/01/2024
The global disruption created by the Coronavirus Disease 2019 (COVID-19) pandemic in medical education and healthcare institutions is unparalleled. Consequently, it is essential to evaluate the usability of forms of educational technology and to identify their viability and suitability for medical education. The objective of the investigation was to present an assessment of the state of medical education during the COVID-19 epidemic and to identify the obstacles faced by educators while introducing online learning systems for medical students. Two cross-sectional surveys were conducted with 200 medical students and 75 staff members from Saudi Arabia's University of Health. A descriptive method was used to focus on the mechanisms of analysis, foresight, and comprehension of reality. The most significant findings were the obstacles posed by instructors' most urgent requirements for educational technology training and its applications in order to activate distance education in medical education. In addition to a detailed description of the academic and technological concerns and obstacles encountered by students and faculty of health colleges during the pandemic, this report includes a discussion of the pandemic itself. Several prospective recommendations for the use of online and blended learning in health colleges post-pandemic were also made. Additionally, the requirement to activate learning via virtual professional learning groups.
(AN 175254806); ISSN: 11184841
CINAHL Complete

Online learning in Health Professions Education. Part 1: Teaching and learning in online environments: AMEE Guide No. 161.

Mon, 01 Jan 2024 05:00:00 +0000

Medical Teacher; 01/01/2024
Online learning in Health Professions Education (HPE) has been evolving over decades, but COVID-19 changed its use abruptly. Technology allowed necessary HPE during COVID-19, but also demonstrated that many HP educators and learners had little knowledge and experience of these complex sociotechnical environments. Due to the educational benefits and flexibility that technology can afford, many higher education experts agree that online learning will continue and evolve long after COVID-19. As HP educators stand at the crossroads of technology integration, it is important that we examine the evidence, theories, advantages/disadvantages, and pedagogically informed design of online learning. This Guide will provide foundational concepts and practical strategies to support HPE educators and institutions toward advancing pedagogically informed use of online HPE. This Guide consists of two parts. The first part will provide an overview of evidence, theories, formats, and educational design in online learning, including contemporary issues and considerations such as learner engagement, faculty development, inclusivity, accessibility, copyright, and privacy. The second part (to be published as a separate Guide) focuses on specific technology tool types with practical examples for implementation and integration of the concepts discussed in Guide 1, and will include digital scholarship, learning analytics, and emerging technologies. In sum, both guides should be read together, as Guide 1 provides the foundation required for the practical application of technology showcased in Guide 2. Please refer to the video abstract for Part 1 of this Guide at © 2023 AMEE. Published by Informa UK Limited, trading as Taylor & Francis Group
(AN 175233467); ISSN: 0142159X
CINAHL Complete