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Yoana Omarchevska; Anouschka van Leeuwen; Tim Mainhard – Journal of Computing in Higher Education, 2025
In the flipped classroom, students engage in preparatory activities to study the course materials prior to attending teacher-guided sessions. Students' success in the flipped classroom is directly related to their preparation and students tend to change their preparation activity over time. Few studies have investigated why students change their…
Descriptors: Blended Learning, College Students, Metacognition, Learning Motivation
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
Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
Payne, Lisa – Journal of Further and Higher Education, 2019
Student engagement is a complex phenomenon, with diverse interpretations, even within further and higher education. This article presents three potential, interconnected, novel models which provide a measure of unification of the range of interpretations and hence may improve understanding of the broad phenomenon. The models emerged from a study…
Descriptors: Learner Engagement, College Students, Models, Learning Processes
Chen, Yuh-Tyng; Liou, Shyhnan; Chen, Sheau-Ming – Interactive Learning Environments, 2021
Procedural knowledge learning focuses on integrating theory with practice; however, time and pace are the main critical issues. In response, this study proposes a flipped classroom approach based on the Bandura's [1986. The explanatory and predictive scope of self-efficacy theory. "Journal of Social and Clinical Psychology,"…
Descriptors: Flipped Classroom, Computer Science Education, Computer Software, College Students
Khryashchev, Vladimir; Kasatkina, Natalia; Sokolenko, Dmitry – International Association for Development of the Information Society, 2017
The survey data suggest a high technical and sufficient psychological readiness of Yaroslavl State University students to use mobile devices in learning. The results of the research prove that students have an above the average level of interest and motivation in learning with the help of mobile devices. Nevertheless, it is obvious that there is a…
Descriptors: Telecommunications, Interdisciplinary Approach, College Students, Learning Readiness
Yang, Ya-Fei; Lee, Chien-I; Chang, Chih-Kai – Education for Information, 2016
Collaborative learning is an activity in which two or more students learn something together. Many studies have found that collaborative learning improve students' memory retention and motivation to learn. Peer Instruction (PI) is one of the most successful evidence-based collaborative learning methods. This article investigates issues of student…
Descriptors: Learning Motivation, Retention (Psychology), Computer Science Education, Programming
English, John; English, Tammy – Journal of Information Technology Education: Innovations in Practice, 2015
In this paper we discuss the use of automated assessment in a variety of computer science courses that have been taught at Israel Academic College by the authors. The course assignments were assessed entirely automatically using Checkpoint, a web-based automated assessment framework. The assignments all used free-text questions (where the students…
Descriptors: Computer Science Education, Computer Assisted Testing, Foreign Countries, College Students
Zhang, Yulei; Dang, Yan – ACM Transactions on Computing Education, 2015
Web development is an important component in the curriculum of computer science and information systems areas. However, it is generally considered difficult to learn among students. In this study,we examined factors that could influence students' perceptions of accomplishment and enjoyment and their intention to learn in the web development…
Descriptors: Computer Science Education, Web Sites, Computer System Design, Student Attitudes
Koshino, Makoto; Kojima, Yuki; Kanedera, Noboru – Online Submission, 2013
Educational materials of embedded systems are currently used in many educational institutions. However, they have difficulties in arousing the interest of students. One of the reasons is that a poor CPU (central processing unit), which has been loaded in the current materials, cannot execute the multimedia processing. In order to make the…
Descriptors: Foreign Countries, Instructional Design, Multimedia Materials, Computer System Design
Herman, Geoffrey L. – Computer Science Education, 2012
In order to maximize the effectiveness of our pedagogies, we must understand how our pedagogies align with prevailing theories of cognition and motivation and design our pedagogies according to this understanding. When implementing Contributing Student Pedagogies (CSPs), students are expected to make meaningful contributions to the learning of…
Descriptors: Student Motivation, Learning Motivation, Research Universities, Learner Engagement
Taylor, Estelle; Breed, Marnus; Hauman, Ilette; Homann, Armando – International Association for Development of the Information Society, 2013
Our aim is to determine which teaching methods students in Computer Science and Information Systems prefer. There are in total 5 different paradigms (behaviorism, cognitivism, constructivism, design-based and humanism) with 32 models between them. Each model is unique and states different learning methods. Recommendations are made on methods that…
Descriptors: Teaching Methods, Learning Processes, Computer Science Education, Information Systems
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers