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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Han, Feifei; Ellis, Robert A. – Journal of Computing in Higher Education, 2023
This study investigated the relations between students' self-reported perceptions of the blended learning environment, their observed online learning strategies, and their academic learning outcomes. The participants were 310 undergraduates enrolled in an introductory course on computer systems in an Australian metropolitan university. A…
Descriptors: Measurement Techniques, Student Attitudes, Educational Environment, Observation
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Chih-Chang Yu; Leon Yufeng Wu – Educational Technology & Society, 2024
This study presents a new blended learning model that combines a computer-assisted learning system called Cognitive Apprenticeship Programming Learning System (CAPLS) with instructor co-teaching in an introductory programming course. CAPLS, as its unique aspect, functions as a master in cognitive apprenticeship, guiding learners throughout their…
Descriptors: Programming, Computer Science Education, College Entrance Examinations, Mathematics Tests
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Mahatanankoon, Pruthikrai; Wolf, James – Information Systems Education Journal, 2021
Learning a computer programming language is typically one of the basic requirements of being an information technology (IT) major. While other studies previously investigate computer programming self-efficacy and grit, their relationships between "shallow" and "deep" learning (Miller et al., 1996) have not been thoroughly…
Descriptors: Cognitive Processes, Learning Strategies, Introductory Courses, Computer Science Education
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Menon, Pratibha – Information Systems Education Journal, 2021
Learning how to become a self-regulated learner could benefit students in introductory undergraduate courses, such as computer programming. This study explores the perceived value of instructional and skill-building activities and students' self-efficacy to learn and apply programming skills in an introductory computer programming course. The…
Descriptors: Student Attitudes, Independent Study, Introductory Courses, Programming
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Menon, Pratibha – Information Systems Education Journal, 2022
The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…
Descriptors: Learning Strategies, Programming, Computer Science Education, Metacognition
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Steven Sclarow; A. J. Raven; Mart Doyle – Journal of Information Systems Education, 2024
This paper presents field-tested improvements over an 11-year period of a large-scale "Introduction to Information Systems" core business school course and provides a framework for implementation. Engagement and learning in large-scale courses can prove challenging, especially when the class is a requirement within a business school's…
Descriptors: Learning Strategies, Information Systems, Large Group Instruction, Introductory Courses
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Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
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Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
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Pierrot, Laëtitia; Michel, Christine; Broisin, Julien; Guin, Nathalie; Lefevre, Marie; Venant, Rémi – International Association for Development of the Information Society, 2021
Implementing remote and blended higher education courses motivated the design for new support services for autonomous learning. Thus, combining a competence-based approach and self-regulation, the COMPER project offers a service to be used in addition to the courses. It consists of a graphical presentation of the learners' competency profile…
Descriptors: Metacognition, Learning Strategies, Blended Learning, Distance Education
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Ott, Claudia; Robins, Anthony; Haden, Patricia; Shephard, Kerry – Computer Science Education, 2015
In higher education, quality feedback for students is regarded as one of the main contributors to improve student learning. Feedback to support students' development into self-regulated learners, who set their own goals, self-monitor their actual performance according to these goals, and adjust learning strategies if necessary, is seen as an…
Descriptors: Computer Science Education, Learning Strategies, Introductory Courses, College Students
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Lee, Nancy; Hong, Eunsook – IAFOR Journal of Education, 2017
The study described here explored the differential effects of two learning strategies, self-explanation and reading questions and answers, on learning the computer programming language JavaScript. Students' test performance and perceptions of effectiveness toward the two strategies were examined. An online interactive tutorial instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, High School Students
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Chapman, Debra; Wang, Shuyan – Journal of Interactive Learning Research, 2015
Multimedia instructional tools (MMIT) have been identified as a way effectively and economically present instructional material. MMITs are commonly used in introductory computer applications courses as MMITs should be effective in increasing student knowledge and positively impact motivation and learning strategies, without increasing costs. This…
Descriptors: Multimedia Instruction, Student Motivation, Learning Strategies, Teaching Methods
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Willman, Salla; Lindén, Rolf; Kaila, Erkki; Rajala, Teemu; Laakso, Mikko-Jussi; Salakoski, Tapio – Computer Science Education, 2015
Computer aided assessment systems enable the collection of exact time and date information on students' activity on a course. These activity patterns reflect students' study habits and these study habits further predict students' likelihood to pass or fail a course. By identifying such patterns, those who design the courses can enforce positive…
Descriptors: Foreign Countries, Study Habits, Introductory Courses, Programming
Chapman, Debra Laier – ProQuest LLC, 2013
Advances in technology and changes in educational strategies have resulted in the integration of technology into the classroom. Multimedia instructional tools (MMIT) have been identified as a way to provide student-centered active-learning instructional material to students. MMITs are common in introductory computer applications courses based on…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Introductory Courses
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