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Franc Vrbancic; Slavko Kocijancic – Education and Information Technologies, 2024
Microcontroller programming competencies contribute to the sustainable employability of engineering graduates of both higher and secondary education. To develop the required programming skills, one of the challenges for educators is to determine which programming environments should be implemented in introductory programming courses. Conceptually,…
Descriptors: Programming, Competence, Introductory Courses, Secondary Education
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
Leonardo Silva; António Mendes; Anabela Gomes; Gabriel Fortes – ACM Transactions on Computing Education, 2024
Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…
Descriptors: Learning Strategies, Programming, Self Management, Introductory Courses
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
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
Schoeman, Marthie – Perspectives in Education, 2019
Due to the character of programming languages, reading ability may have more impact on learning to program than on learning in other subjects. This paper describes an exploratory study of the relationship between reading skills, as perceived through eye tracking, and the ability to program. An empirical investigation into this relationship…
Descriptors: Reading Skills, Predictor Variables, Programming, Novices
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
The Role of Task Value and Online Learning Strategies in an Introductory Computer Programming Course
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
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
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
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
Lee, Nancy – ProQuest LLC, 2013
The current study explored the differential effects of two learning strategies, self-explanation and reading questions and answers, on students' test performance in the computer programming language JavaScript. Students' perceptions toward the two strategies as to their effectiveness in learning JavaScript was also explored by examining students'…
Descriptors: Programming Languages, Tests, Student Attitudes, Tutoring
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
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
Hawi, N. – Computers & Education, 2010
The purpose of this research is to identify the causal attributions of business computing students in an introductory computer programming course, in the computer science department at Notre Dame University, Louaize. Forty-five male and female undergraduates who completed the computer programming course that extended for a 13-week semester…
Descriptors: Attribution Theory, Undergraduate Students, Academic Achievement, Learning Strategies
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