Development of Blended Learning Model using Collaborative Learning with Chatbot to Enhance Analytical Thinking for Undergraduate Students
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Abstract
This research aimed at 1) developing a blended learning model of collaborative learning and automatic feedback to enhance analytical thinking, and 2) evaluating the effectiveness of blended learning model of collaborative learning and automatic feedback among undergraduate students. The methodology involved six distinct phases: 1) literature review, 2) synthesis and development of instructional framework, 3) creation of evaluation tools, 4) expert selection through purposive sampling, 5) group discussions for pedagogical evaluation, and 6) conclusion and data analysis and adjustments. Data analysis was conducted using mean and standard deviations (S.D.).
The findings showed that the developed learning model comprised three components: 1) preparation, 2) teaching and learning activities, and 3) pedagogical evaluation. The evaluation of developed model accepted by all Computer Science and Education instructors was found at the overall level of high suitability (=4.52, S.D. = 0.58). It could be implied that the developed model was highly applicable for instructional implementation.
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