Objective: To identify the insights of dentistry students towards a new 3/1 problem-based learning (PBL) and team-based learning (TBL) blended package approach.
Study Design: Mixed method triangulation design, using validating quantitative data model.
Place And Duration Of Study: College of Dentistry, Qassim University, KSA, from March to July 2020.
Methodology: Modified TBL within an existing PBL hybrid curriculum, by strategically designing three modified PBL sessions followed by one modified TBL session was evaluated. There were 241 students enrolled over five academic years of session 2019-2020, and all were included in the study. Feedback of the students regarding novel approach was collected at the culmination of the academic year through an e-questionnaire, utilising closed- and open-ended questions. Descriptive statistics and thematic analysis were used to analyse data.
Results: In total, 124 (51.5%) students filled a questionnaire regarding use of PBL and TBL in the new blended approach. The median perception score of TBL was 3.9 (3.2-4.3) and PBL was 3.9 (3.3-4.3). Thematic analysis of the qualitative data supported the quantitative results. Students reported positive aspects of TBL experience as more engaging format, collaborative learning, teamwork, and group competition. They stated that PBL has improved their research, presentation, and clinical reasoning skills.
Conclusion: Students valued the novel PBL-TBL package as an optimum learning approach. They predominantly voted in favour of TBL. Students further identified the sequence and format of the current approach conducive to learning, feedback and assessment. Key Words: Hybrid curriculum, Team-based learning, Problem-based learning, Blended learning, Innovative instructional strategy.
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http://dx.doi.org/10.29271/jcpsp.2021.06.710 | DOI Listing |
Introduction: Healthcare provider burnout is highly prevalent and has negative consequences. However, many healthcare workers in LMICs, including Nepal, rarely recognize or ameliorate it. This problem is worse in rural settings.
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Health Professions Education Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Background: Educational research highlights active approaches to learning are more effective in knowledge retention and problem-solving. It has long been acknowledged that adapting to more active ways of learning form part of the challenge for new university students as the pedagogical distance between the didactical approach largely followed by secondary school systems the world over differs quite significantly from the often more student-led, critical approach taken by universities. University students encounter various learning challenges, particularly during the transition from secondary school to university.
View Article and Find Full Text PDFSci Rep
January 2025
Khuzestan Water & Power Authority (KWPA), Ahvaz, Iran.
Microgrid systems have evolved based on renewable energies including wind, solar, and hydrogen to make the satisfaction of loads far from the main grid more flexible and controllable using both island- and grid-connected modes. Albeit microgrids can gain beneficial results in cost and energy schedules once operating in grid-connected mode, such systems are vulnerable to malicious attacks from the viewpoint of cybersecurity. With this in mind, this paper explores a novel advanced attack model named the false transferred data injection (FTDI) attack aiming to manipulatively alter the power flowing from the microgrid to the upstream grid to raise voltage usability probability.
View Article and Find Full Text PDFNeural Netw
January 2025
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, 310027, China. Electronic address:
Unsupervised domain adaptation (UDA) aims to annotate unlabeled target domain samples using transferable knowledge learned from the labeled source domain. Optimal transport (OT) is a widely adopted probability metric in transfer learning for quantifying domain discrepancy. However, many existing OT-based UDA methods usually employ an entropic regularization term to solve the OT optimization problem, inevitably resulting in a biased estimation of domain discrepancy.
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January 2025
Univ Rennes, LP3C (Laboratoire de Psychologie: Cognition, Comportement, Communication), F-35000 Rennes, France. Electronic address:
Aims: Crises in the operating room, often resulting from human factors, endangers patient safety. Simulation-based training to develop non-technical skills shows promise in managing these crises. This review examines the simulation techniques, targeted healthcare professionals, non-technical skills, crisis scenarios, and evaluation metrics used in operating room crisis management training.
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