Background The Self-Directed Learning Readiness Scale (SDLRS) is a tool that helps in the assessment of the readiness of the students to pursue Self-Directed Learning (SDL). There are no documented studies on the validation of internal structure of the SDLRS among Indian medical students. Hence, the objective of this study is to validate the internal structure of SDLRS among Indian medical students using factor analysis and the Structural Equation Modelling (SEM) approach. Methods We administered Fisher’s 40-item SDLRS to 750 students after receiving the ethics clearance and the author’s permission and taking written informed consent from all the study participants (response rate: 92%). The exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and Cronbach’s alpha were performed using SPSS version 25 and the Lavaan package of R version 3.1.2. Results The values of the comparative fit index (CFI), standardised root-mean-square residual (SRMR), and root mean square error of approximation (RMSEA) were ≥ 0.9, ≤ 0.08, and ≤ 0.08, respectively, for a model fit to be acceptable. EFA showed that except for Q2 (loading score: 0.210), Q12 (loading score: 0.384), Q13 (loading score: 0.362), and Q25 (loading score: -0.219), all the items loaded well. After the exclusion of the aforementioned items, the factor loading scores for the items in the self-management, desire for learning, and self-control factors ranged from 0.405 to 0.753 (Cronbach α: 0.775), 0.396 to 0.616 (Cronbach α: 0.730), and 0.427 to 0.556 (Cronbach α: 0.799), respectively. The updated model was used for CFA, which displayed a good model fit. Conclusions The resultant model consisting of 36 items is shown to have internal structure validity for Indian version of SDLRS, which can be used to assess medical students.
Background Application of e-learning and e-modules in medical education has been shown to have a positive impact on learning outcomes among all types of learners, across diverse educational settings. Despite its benefits, e-learning and e-modules has not yet reached its full potential in medical education in India. Objective of this study is to evaluate the perception of undergraduate students regarding e-learning and e-modules using an appreciative inquiry tool SOAR (Strengths, Opportunities, Aspirations, Results) analysis, and to identify the barriers and challenges for the same. Methods This longitudinal study was conducted among participants from three consecutive batches (n = 250 x 3) of first-year medical students and two consecutive batches (n = 100 x 2) of first-year dental students. The sample was selected using a purposive sampling method. Two structured and validated questionnaires were developed for this study based on the modified Zhou’s Mixed Methods Model; the ‘Knowledge, Attitude and Practice’ Questionnaire (KAPQ) on e-learning and the feedback questionnaire (FBQ) on e-modules. The questionnaires were administered via MOODLE / hard copy, before and after the implementation of e-modules, respectively. Identified strengths, potential opportunities, probable aspirations and likely results for e-learning and e-modules were tabulated based on the qualitative analysis of perceptions of large number students sampled across three years. Results Six hundred and ninety students returned both questionnaires representing a response rate of 76.6%. Nine themes were identified in the “Strengths” domain as follows: Regular Update of Knowledge, Innovative Learning, Availability, Knowledge Sharing, Abundance of Information, Accessibility, Source of Knowledge, Creativity, and Increased Engagement. Eleven themes were identified in the “Opportunities” domain as follows: Clinical Skills training, Timesaving, Flexibility, Creativity, Increased engagement, Standardized content, Capacity building for students, Capacity building for faculty, Skills training, and Self-assessment. Thirteen themes were identified under the “Aspirations” domain with the three key themes being “maintaining and building on current strengths”, “increasing potential opportunities”, and “addressing the barriers and challenges identified in the responses to the KAPQ and FBQ questionnaire”. Four themes identified for ‘Barriers’ were eye strain, distractions, preference for conventional methodologies, and internet connectivity. Conclusions The findings of this qualitative study are based on the responses received from first-year medical and dental students of a Private University in Chennai, India. In this population of students, implementation of e-learning as blended learning using structured and interactive e-modules may provide more engagement during learning as well as support self-directed learning (SDL) directly or indirectly. Adoption of blended learning with e-modules as an integral part of curriculum planning may be beneficial for the achievement of Competency-Based Medical Education (CBME) goals in India.
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