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Gamze Türkmen; Sinan Hopcan; Elif Polat – Journal of Learning and Teaching in Digital Age, 2024
This research explores how metacognitive strategies influence the metacognitive awareness of undergraduate students enrolled in an online flipped programming course. It specifically focuses on regulatory actions crucial for success in programming instruction and distance education settings. The primary objective is to contribute to the existing…
Descriptors: Undergraduate Students, Metacognition, Online Courses, Programming
Jhon Jairo Ramírez-Echeverry; Felipe Restrepo-Calle; Stephanie Torres Jiménez – European Journal of Education, 2025
This study investigates the self-regulated learning strategies employed by students in computer programming courses. Utilising the Questionnaire on Learning Strategies in Computer Programming (CEAPC), the research aims to identify specific strategies used by students. The findings reveal a variety of effective learning strategies, including…
Descriptors: Independent Study, Learning Strategies, Programming, Computer Science Education
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
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
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
Çakiroglu, Ünal; Er, Betul – Informatics in Education, 2020
Considerable effort has been invested in innovative practices about teaching programming. Although the usefulness of metacognition in learning process is acknowledged, evidence demonstrating how metacognitive strategies effect in the programming classrooms is still very scarce. Given the importance of metacognitive strategies, this study seeks to…
Descriptors: Metacognition, Learning Strategies, Programming, Computer Science Education
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Breed, Betty; Mentz, Elsa; van der Westhuizen, Gert – Electronic Journal of Research in Educational Psychology, 2014
Introduction: The research focused on metacognition in a collaborative learning setting. Based on a comprehensive literature study the researchers designed a metacognitive teaching-learning strategy for pair programmers. Our purpose was to investigate the influence of this metacognitive teaching-learning strategy during pair programming in an…
Descriptors: Metacognition, Cooperative Learning, Meta Analysis, Mixed Methods Research
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

Bielaczyc, Katerine; And Others – Cognition and Instruction, 1995
Presents ongoing research for constructing formal models of learning in rich problem-solving domains. The underlying framework for the research is aimed at integrating models of active, goal-oriented learning processes with theories of problem-solving and cognitive skill development. Indicates that the particular self-explanation and…
Descriptors: Cognitive Processes, Learning Processes, Learning Strategies, Learning Theories

Pirolli, Peter; Recker, Margaret – Cognition and Instruction, 1994
Two experiments involved an intelligent tutoring system for the Carnegie Mellon University Lisp Tutor using production system theories of transfer and analogical problem solving. Results suggested that acquisition of cognitive skills is facilitated by high degrees of metacognition, which includes higher level monitoring of states of knowledge,…
Descriptors: Learning Processes, Learning Strategies, Learning Theories, Metacognition

Thomas, Rex A.; Upah, Sylvester C., Jr. – Journal of Research on Computing in Education, 1996
A study of college students revealed weaknesses in learning strategies and metacognitive skills. The students' experience using LOOPS simulation software to create program loops suggests that computer programming coursework may have substantial value for non-majors. (LRW)
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer Simulation, Educational Benefits

Yelland, Nicola – Early Child Development and Care, 1995
Explored the performance of primary school children in Logo programming tasks while they worked in one of three gender pairs (girl, boy, or boy-girl). Found no considerable differences in performance based on gender. Results suggest that what distinguished performance was the application of metastrategic processes--the most effective solutions…
Descriptors: Computer Software, Computer Uses in Education, Cooperative Learning, Discovery Learning