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Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Arwa Ahmed Qasem – Discover Education, 2025
Contemporary education calls for innovative strategies to move away from traditional teacher-centered methods to methods that engage students and enhance learning outcomes. This shift toward student-centered learning is crucial for achieving educational goals and making the next generation more adaptable to the modern era. This paper examines the…
Descriptors: Active Learning, Student Projects, Program Effectiveness, Programming Languages
Olelewe, Chijioke Jonathan; Dong, Chunli; Abdullahim, Mohammed; Nwangwu, Chinweike Emmanuel – Technology, Pedagogy and Education, 2023
This study determined the efficacy of the video-clip lecture strategy in enhancing computer science (CS) students' performance in a computer networking course at universities in Gombe state, Nigeria. The study adopted a quasi-experimental design with non-equivalent groups of intact classes. Study participants were 136 CS third-year students made…
Descriptors: Foreign Countries, Instructional Effectiveness, Video Technology, Lecture Method
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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
Pattanaphanchai, Jarutas – Journal of University Teaching and Learning Practice, 2019
Computer programming is a difficult subject for most novice programming students which leads to a high rate of dropout or failure. Flipped classrooms have been increasingly used to teach programming students to practice their programming skills in the class based on their knowledge acquired from outside the classroom. This study investigated…
Descriptors: Foreign Countries, College Students, Academic Achievement, Blended Learning
Bekkering, Ernst; Ward, Ted – Information Systems Education Journal, 2020
Student performance in classes can be affected by lack of attendance and attention while in class. This paper examines the effect of student participation on performance in two Computer Science classes. Attendance and attentiveness are automatically recorded by the videoconferencing software used for the classes. Student participation is measured…
Descriptors: Class Activities, Student Participation, Performance Factors, Attendance
Sahin, Senay; Birinci, Yakup Zühtü; Sagdilek, Engin; Vatansever, Serife; Pancar, Serkan; Sahin, Ersin; Kiziltan, Erhan – International Journal of Curriculum and Instruction, 2020
Fine motor skill is ability to control and coordinate the small muscles in the hand for precise movements. Fine motor skill have been associated with several other cognitive abilities, including processing speed executive functions and scholastic skills. Fine motor skill in the early years have also been shown to predict later academic…
Descriptors: Comparative Analysis, Psychomotor Skills, Athletes, Correlation
Liao, Soohyun Nam; Zingaro, Daniel; Thai, Kevin; Alvarado, Christine; Griswold, William G.; Porter, Leo – ACM Transactions on Computing Education, 2019
As enrollments and class sizes in postsecondary institutions have increased, instructors have sought automated and lightweight means to identify students who are at risk of performing poorly in a course. This identification must be performed early enough in the term to allow instructors to assist those students before they fall irreparably behind.…
Descriptors: Prediction, Low Achievement, Tests, Scores
Pearson, 2018
Pearson sought to explore whether attempting more unique assignments in MyLab IT, an online tutorial and assessment tool used in higher education to teach digital literacy concepts and Microsoft Office application skills, is related to higher exam scores. This Research Report presents findings from one research study: a correlational study Pearson…
Descriptors: Computer Literacy, Electronic Learning, College Instruction, Instructional Effectiveness
Olelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
Boldbaatar, Nomin; Sendurur, Emine – Journal of Educational Computing Research, 2019
The emergence of block-based environments aims to facilitate the problems caused by the abstractness of text-based languages. Recent studies generally focus on the effect of having block-based experience on programming education. This study is an attempt to observe the transfer of previous programming experiences (block-based vs. text-based) into…
Descriptors: Educational Games, Computer Games, Computer Simulation, Computer Software
Burgiel, Heidi; Sadler, Philip M.; Sonnert, Gerhard – ACM Transactions on Computing Education, 2020
The number of computer science (CS) courses has been dramatically expanding in U.S. high schools (HS). In comparison with well-established courses in mathematics and science, little is known about how the decisions made by HS CS teachers regarding how and what to teach impact student performance later in introductory college CS courses. Drawing on…
Descriptors: Computer Science Education, High School Students, College Students, High School Teachers
Whitney, Michael; Lipford, Heather Richter; Chu, Bill; Thomas, Tyler – Journal of Educational Computing Research, 2018
Many of the software security vulnerabilities that people face today can be remediated through secure coding practices. A critical step toward the practice of secure coding is ensuring that our computing students are educated on these practices. We argue that secure coding education needs to be included across a computing curriculum. We are…
Descriptors: Computer Security, Programming, Coding, Computer Science Education