Reflection of connectivism in medical education and learning motivation 4 during COVID-19
Ismail, N. A. S.; Lee, J. X.; Ahmad Azman, A. H.; Ng, J. Y.
Show abstract
The COVID-19 pandemic has not only affected the global healthcare and economy but threatened the world of education altogether. Malaysia is not spared from this pandemic as all universities were forced to close and initiate online learning with the implementation of Movement Control Order since mid-March 2020.The abrupt shift from conventional medical education to fully virtual learning definitely deserves a reflection on how it affects the learning motivation among medical students. Hence, this is the first study that compares the effect of digital learning on learning motivation among medical students in Universiti Kebangsaan Malaysia (UKM) prior to and during the COVID-19 pandemic. A modified Students Motivation towards Science Learning (SMTSL) was used to assess the learning motivation of UKM medical students throughout Year 1-5. The number of students that use digital learning during COVID-19 is significantly higher compared to before COVID-19 (p<0.05). However, there is no significant difference (p=0.872) in learning motivation among medical students before and during COVID-19 crisis. Higher frequency in digital learning usage frequency does not exert a great impact on learning motivation. Reflections from each participant were collated to justify the current situation. This could be due to motivation coming from the very choice to pursue medicine as a doctor, which is mainly influenced by intrinsic motivation, and ability to adapt in difficult situations. Thus, medical educators should be creative in enhancing extrinsic motivation by making use of digital learning as a platform so that medical students are able to independently fish for information in the vast pool of digital information and apply in actual medical practice in the future for life-long learning.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comparing Traditional and Online Problem-Based Learning in Child and Adolescent Psychiatry in Nagoya: A Novel Statistical Approach in Japanese Educational Settings 95%
- Effect of introducing interprofessional education concepts on students of various healthcare disciplines in the United Arab Emirates 94%
- Large language models for generating medical examinations: systematic review 94%
Similar papers in this journal
- Introducing the 4Ps Model of Transitioning to Distance Learning: a convergent mixed methods study conducted during the COVID-19 pandemic 97%
- A national professional development program fills mentoring gaps for postdoctoral researchers 95%
- Impacts of lack of pocket money on undergraduate students' clinical learning activities 94%
Similar papers in this journal
- Self-learning on COVID-19 among medical students and their preparedness to participate in government's COVID-19 response in Bhutan: a cross-sectional study 95%
- Perceptions of Complementary, Alternative, and Integrative Medicine: Insights from a Large-Scale International Cross-Sectional Survey of Surgery Researchers and Clinicians 91%
- Cloud-controlled microscopy enables remote project-based biology education in Latinx communities in the United States and Latin America 91%
Similar papers in this journal
- Socio-educational Impact and Psychological Distress of Medical Students amid the COVID-19 Pandemic: A Japanese Cross-Sectional Survey 91%
- How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a literature review 91%
- Artificial Intelligence (AI)-based Chatbots in Promoting Health Behavioral Changes: A Systematic Review 91%
Similar papers in this journal
- Evaluation of Self-Directed Learning Activities at King Abdulaziz University: A Qualitative Study of Faculty Perceptions 94%
- YouTube as an information source during the Coronavirus disease (COVID-19) pandemic: Evaluation of the Turkish and English content 91%
- Validation of the patient reported outcome measures tool “Catquest” in Odia language 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.