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Fung, Tze-ho; Li, Wing-yi – Practical Assessment, Research & Evaluation, 2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…
Descriptors: Gifted, Metacognition, Learning Strategies, Programming Languages
Maranga, Jemar Jude A.; Matugas, Leilla Keith J.; Lim, Jorge Frederick W.; Romana, Cherry Lyn C. Sta. – International Association for Development of the Information Society, 2019
Teaching an introductory programming course to an average of 40 students while monitoring their performance can be a challenge for instructors. Preparing coding exercises with test cases and checking students' programs can prove to be time consuming at times. Moreover, programming has been known to be quite difficult for students to learn. To…
Descriptors: Online Courses, Programming Languages, Introductory Courses, Computer Science Education
Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems

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