Qualitative Learning Outcome through Computer Assisted Instructions
The Qualitative Outcome of Learning (QOL) measures the level of attainment in learning efforts through Structure of the Observed Learning Outcome (SOLO) taxonomy. Modern Computer Assisted Instructions (CAI) employ interactive tools that illustrate a concept using not only visual aids like animation, sound, etc but also stimulating the cognitive level of learners. In this work, we attempted to evaluate the QOL of learners at the age of 14 years. The learners are challenged to test their understanding in lessons related to specific topics, rather than just knowing the content. Each topic content is based on SOLO taxonomy and set to test the understanding level of learners with increasing complexity in that topic. Lessons are planned from simple to complex structured responses involving Relational and abstract thinking and the level at which the learner is operating is assessed. Our objective is to evaluate the QOL using CAI tools whether they can uplift “surface” learners towards “deep” learning. We used Shikshak - an intelligent tutoring system and a simple CD based approach, through which learners appear to promote active cognitive learning and assessed the growth or decline of competence of learners with the help of CAI according to SOLO taxonomy. The effects of QOL by the CAI tools have been measured in comparisons with printed lessons based learning approach and found that CAI stimulates “deep” learning.
KeywordsQualitative Outcome of Learning Computer Aided Instructions SOLO Taxonomy Deep Learning Shikshak - Intelligent Tutoring System
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