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Kittur, Javeed – IEEE Transactions on Education, 2020
Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all…
Descriptors: Measures (Individuals), Programming, Self Efficacy, Engineering Education
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Kaushik, Mohit Kant; Agrawal, Devika – International Journal of Educational Management, 2021
Purpose: The study has identified the factors among students that can enable or inhibit students from using online learning platforms. Students enrolled at different levels, diversified streams and separate courses were surveyed for the investigation. The study also highlights the significant hitches faced in using or adopting e-learning.…
Descriptors: Learning Readiness, Electronic Learning, Technology Integration, Adoption (Ideas)
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Singh, Ninni; Ahuja, Neelu Jyothi – International Journal of Web-Based Learning and Teaching Technologies, 2019
Face-to-face human tutoring in classroom environments amply facilitates human tutor-learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence to understand learner's pre-knowledge level, learning pattern, specific learning difficulties, and be able to offer course content well-aligned to the learner's…
Descriptors: Intelligent Tutoring Systems, Sequential Learning, Student Centered Learning, Curriculum Design
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Nayak, Satheesha B.; Kodimajalu, Soumya – Anatomical Sciences Education, 2010
An innovative strategy called "progressive drawing" was used at the beginning (lid-opener) and later (monotony-breaker) during gross anatomy lectures. Diagrams were drawn on the classroom blackboard with anatomic structures added one by one. Students identified and labeled the diagrams and predicted the next structures to be drawn.…
Descriptors: Anatomy, Medical Education, Freehand Drawing, Prior Learning