Journal of Educational Evaluation for Health Professions

Brief report

Effects of a simulation-based blended training model on nurses’ treatment decision-related knowledge about oral cancer in Taiwan: a pilot survey: Chia-Chang Huang, Shiau-Shian Huang, Ying-Ying Yang, Shou-Yen Kao; J Educ Eval Health Prof. 2021;18:10. Published online May 25, 2021; DOI: https://doi.org/10.3352/jeehp.2021.18.10

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The present study aimed to evaluate the effects of virtual reality (VR) simulations combined with bedside assignments on nurses’ self-efficacy in providing pre-treatment educational services. Between March 2019 and November 2020, we conducted a study of VR educational materials that were developed to cover information about the treatment of oral cancers. The effects of the VR simulation, the thinking-path tracking map method, and bedside assignments on the nurses’ treatment decision-related knowledge were evaluated in a ward for oral cancer patients at Taipei Veterans General Hospital, Taipei, Taiwan. The blended training model significantly increased nurses’ familiarity (P<0.01) and confidence (P<0.03) regarding their knowledge of treatments and treatment decision-related knowledge. This model also significantly increased their confidence in their skills in bedside pre-treatment education for admitted oral cancer patients (P<0.002). Oral cancer-specific VR materials enhanced the effectiveness of skills training among nurses in the oral cancer ward.

Citations

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The use of simulation-based education in cancer care: a scoping review
Amina Silva, Kylie Teggart, Corey Heerschap, Jacqueline Galica, Kevin Woo, Marian Luctkar-Flude
International Journal of Healthcare Simulation.2023;[Epub] CrossRef
Application of computer-based testing in the Korean Medical Licensing Examination, the emergence of the metaverse in medical education, journal metrics and statistics, and appreciation to reviewers and volunteers
Sun Huh
Journal of Educational Evaluation for Health Professions.2022; 19: 2. CrossRef
Assessing the Financial Sustainability of High-Fidelity and Virtual Reality Simulation for Nursing Education
Michael D. Bumbach, Beth A. Culross, Santanu K. Datta
CIN: Computers, Informatics, Nursing.2022; 40(9): 615. CrossRef

Research article

Does the acceptance of hybrid learning affect learning approaches in France?: Lionel Di Marco, Alain Venot, Pierre Gillois; J Educ Eval Health Prof. 2017;14:24. Published online October 20, 2017; DOI: https://doi.org/10.3352/jeehp.2017.14.24

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Abstract PDF

Purpose
Acceptance of a learning technology affects students’ intention to use that technology, but the influence of the acceptance of a learning technology on learning approaches has not been investigated in the literature. A deep learning approach is important in the field of health, where links must be created between skills, knowledge, and habits. Our hypothesis was that acceptance of a hybrid learning model would affect students’ way of learning.
Methods
We analysed these concepts, and their correlations, in the context of a flipped classroom method using a local learning management system. In a sample of all students within a single year of study in the midwifery program (n= 38), we used 3 validated scales to evaluate these concepts (the Study Process Questionnaire, My Intellectual Work Tools, and the Hybrid E-Learning Acceptance Model: Learner Perceptions).
Results
Our sample had a positive acceptance of the learning model, but a neutral intention to use it. Students reported that they were distractible during distance learning. They presented a better mean score for the deep approach than for the superficial approach (P< 0.001), which is consistent with their declared learning strategies (personal reorganization of information; search and use of examples). There was no correlation between poor acceptance of the learning model and inadequate learning approaches. The strategy of using deep learning techniques was moderately correlated with acceptance of the learning model (r_s= 0.42, P= 0.03).
Conclusion
Learning approaches were not affected by acceptance of a hybrid learning model, due to the flexibility of the tool. However, we identified problems in the students’ time utilization, which explains their neutral intention to use the system.

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Pédagogie Médicale.2018; 19(2): 77. CrossRef

Research Article

Learning styles and academic achievement among undergraduate medical students in Thailand: Wichuda Jiraporncharoen, Chaisiri Angkurawaranon, Manoch Chockjamsai, Athavudh Deesomchok, Juntima Euathrongchit; J Educ Eval Health Prof. 2015;12:38. Published online July 8, 2015; DOI: https://doi.org/10.3352/jeehp.2015.12.38

36,519 View
329 Download
14 Web of Science
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Abstract PDF

Purpose
This study aimed to explore the associations between learning styles and high academic achievement and to ascertain whether the factors associated with high academic achievement differed between preclinical and clinical students. Methods: A survey was conducted among undergraduate medical students in Chiang Mai University, Thailand. The Index of Learning Styles questionnaire was used to assess each student’s learning style across four domains. High academic achievement was defined as a grade point average of at least 3.0. Results: Of the 1,248 eligible medical students, 1,014 (81.3%) participated. Learning styles differed between the preclinical and clinical students in the active/reflective domain. A sequential learning style was associated with high academic achievement in both preclinical and clinical students. A reflective learning style was only associated with high academic achievement among preclinical students. Conclusion: The association between learning styles and academic achievement may have differed between preclinical and clinical students due to different learning content and teaching methods. Students should be encouraged to be flexible in their own learning styles in order to engage successfully with various and changing teaching methods across the curriculum. Instructors should be also encouraged to provide a variety of teaching materials and resources to suit different learning styles.

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