1.Students’ Satisfaction and Learning Outcomes with Virtual and Light Microscopy in Undergraduate Pathology: A Randomised Cross-Over Trial
Thin Thin Win ; Saint Nway Aye ; Sunil Pazhayanur Venkateswaran ; Purushotham Krishnappa ; Dhanashri Kshitij Panse ; Arun Kumar Basavaraj
International e-Journal of Science, Medicine and Education 2025;19(3):31-45
Students’ Satisfaction and Learning Outcomes with Virtual and Light Microscopy in Undergraduate Pathology: A Randomised Cross-Over Trial
Virtual microscopy (VM) has emerged as a valuable adjunct to light microscopy (LM) in medical education, enabling remote access to high-quality histopathological images. While many studies report improved satisfaction and comparable better learning outcomes with VM, effectiveness in student performance was not properly studied. This study evaluated students’ satisfaction and effectiveness of VM compared to LM in undergraduate pathology teaching of a Malaysia private institution.
A randomised cross-over trial was conducted among Year 1 and Year 2 medical students. Pre- and post tests consisting of 10 one-best-answer (OBA) questions, mapped to the histopathology slides used in pathology practical sessions, were used to analyse effectiveness of VM and LM. After crossover swapping the groups, students completed pre-validated 5-point Likert scale questionnaires to assess the satisfaction on both methods.
A majority (≥65%) expressed satisfaction with both LM and VM; however, VM scored higher for ease of use, time efficiency, and image quality. Group (B) with VM followed by LM had higher mean pre-test scores (6.85 ± 1.80) than Group A with LM followed by VM (5.92 ± 2.29), suggesting possible baseline differences. Post-test scores improved significantly in both groups (p < 0.001). Although Group B’s post test mean was higher (9.13 ± 1.19) than Group A’s (8.61 ± 1.63), this may reflect initial group performance rather than VM superiority alone.
Although the reliability statistics of tests could not be analysed, this study concluded that VM is a reliable adjunct tool to replace traditional LM in teaching learning. However, differences in baseline performance between groups highlight the need for cautious interpretation when comparing modalities. Integration of VM into e-learning platforms may enhance blended pathology education.
2.EPOSTER • DRUG DISCOVERY AND DEVELOPMENT
Marwan Ibrahim ; Olivier D LaFlamme ; Turgay Akay ; Julia Barczuk ; Wioletta Rozpedek-Kaminska ; Grzegorz Galita ; Natalia Siwecka ; Ireneusz Majsterek ; Sharmni Vishnu K. ; Thin Thin Wi ; Saint Nway Aye ; Arun Kumar ; Grace Devadason ; Fatin Aqilah Binti Ishak ; Goh Jia Shen ; Dhaniya A/P Subramaniam ; Hiew Ke Wei ; Hong Yan Ren ; Sivalingam Nalliah ; Nikitha Lalindri Mareena Senaratne ; Chong Chun Wie ; Divya Gopinath ; Pang Yi Xuan ; Mohamed Ismath Fathima Fahumida ; Muhammad Imran Bin Al Nazir Hussain ; Nethmi Thathsarani Jayathilake ; Sujata Khobragade ; Htoo Htoo Kyaw Soe ; Soe Moe ; Mila Nu Nu Htay ; Rosamund Koo ; Tan Wai Yee ; Wong Zi Qin ; Lau Kai Yee ; Ali Haider Mohammed ; Ali Blebil ; Juman Dujaili ; Alicia Yu Tian Tan ; Cheryl Yan Yen Ng ; Ching Xin Ni ; Michelle Ng Yeen Tan ; Kokila A/P Thiagarajah ; Justin Jing Cherg Chong ; Yong Khai Pang ; Pei Wern Hue ; Raksaini Sivasubramaniam ; Fathimath Hadhima ; Jun Jean Ong ; Matthew Joseph Manavalan ; Reyna Rehan ; Tularama Naidu ; Hansi Amarasinghe ; Minosh Kumar ; Sdney Jia Eer Tew ; Yee Sin Chong ; Yi Ting Sim ; Qi Xuan Ng ; Wei Jin Wong ; Shaun Wen Huey Lee ; Ronald Fook Seng Lee ; Wei Ni Tay ; Yi Tan ; Wai Yew Yang ; Shu Hwa Ong ; Yee Siew Lim ; Siddique Abu Nowajish ; Zobaidul Amin ; Umajeyam Anbarasan ; Lim Kean Ghee ; John Pinto ; Quek Jia Hui ; Ching Xiu Wei ; Dominic Lim Tao Ran ; Philip George ; Chandramani Thuraisingham ; Tan Kok Joon ; Wong Zhi Hang ; Freya Tang Sin Wei ; Ho Ket Li ; Shu Shuen Yee ; Goon Month Lim ; Wen Tien Tan ; Sin Wei Tang
International e-Journal of Science, Medicine and Education 2022;16(Suppl1):21-37


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