Gamified Learning among Medical Undergraduates using Digital Platforms: A Quasiexperimental Study.
Background: Gamified learning in medical education involves using game elements to improve learning behaviors and outcomes. Digital gamification is underexplored in community medicine. We aimed to assess students' perceptions about gamified learning and their preference for individual or team-based...
| Publicado en: | Indian Journal of Community Medicine Vol. 51; no. 3; pp. 520 - 528 |
|---|---|
| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wolters Kluwer India Pvt Ltd
May/Jun2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194365177&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194365177 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09700218 1CQJ jtl: Indian Journal of Community Medicine issn: 09700218 maglogo: N pubinfo: dt: May/Jun2026 vid: 51 iid: 3 pid: 16919 pub: Wolters Kluwer India Pvt Ltd artinfo: ui: 194365177 194365177 194365177 10.4103/ijcm.ijcm_773_25 194365177 ppf: 520 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Gamified Learning among Medical Undergraduates using Digital Platforms: A Quasiexperimental Study. aug: au: Mohta, Aditi Prajapathi, Sudesh Rastogi, Swarna affil: Department of Community Medicine, People's College of Medical Sciences and Research Centre, People's University, Bhopal, Madhya Pradesh, India sug: subj: Gamification Education, Medical Community Medicine Education Online Education Educational Technology Student Attitudes Evaluation Attitude to Computers Evaluation Students, Medical Psychosocial Factors Students, Undergraduate Psychosocial Factors India Human Male Female Adult Quasi-Experimental Studies Semi-Structured Interview Questionnaires Adult Education Summated Rating Scaling Coefficient alpha Chi Square Test Mann-Whitney U Test Data Analysis Software Inferential Statistics Descriptive Statistics Thematic Analysis Student Satisfaction Adult: 19-44 years Male Female ab: Background: Gamified learning in medical education involves using game elements to improve learning behaviors and outcomes. Digital gamification is underexplored in community medicine. We aimed to assess students' perceptions about gamified learning and their preference for individual or team-based participation, and compare the user experience between different digital platforms. Materials and Methods: We conducted this one-group posttest-only quasiexperimental study at a medical college in North India. We included students of Phase II and Phase III part 1 MBBS who had attended at least one gamified learning session of community medicine during the study period. We utilized six platforms per batch to deliver electronic quizzes for team-based (Classmarker and Nearpod) or individual participation (Formative, Google Forms, Quizizz, and Slido). We sought feedback using semistructured questionnaires. We used Jamovi version 2.3 for descriptive and inferential statistics. We performed manual inductive thematic analysis involving semantic-level coding of complete response units for qualitative data. Results: All 292 respondents (Phase II: 143; Phase III part 1: 149) attended at least three gamified learning sessions. Over 75% of the participants perceived gamification favorably across all parameters. Phase II students showed significantly higher favorability for perceived increase in interest (92.3% vs. 81.9%, P = 0.001) and engagement (87.4% vs. 83.2%, P = 0.003). Only 26.4% of students preferred team-based participation, with a higher preference in the junior batch (35.7% vs. 17.6%, P < 0.001). Formative and Slido received the highest median scores (9/10). Conclusion: Gamified learning is a well-received adjunct to traditional medical pedagogy. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|