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Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
Çiftci, Serdar; Bildiren, Ahmet – Computer Science Education, 2020
Background and Context: There are studies which indicate that computer programming supports high-level abilities for everyone such as creative thinking, questioning, problem solving and critical thinking which are considered within the scope of 21st-century abilities. Objective: The current experimental study was carried out to put forth the…
Descriptors: Outcomes of Education, Coding, Cognitive Ability, Problem Solving
Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
Finke, Sabrina; Kemény, Ferenc; Sommer, Markus; Krnjic, Vesna; Arendasy, Martin; Slany, Wolfgang; Landerl, Karin – Computer Science Education, 2022
Background: Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT…
Descriptors: Spatial Ability, Cognitive Ability, Abstract Reasoning, Arithmetic
Akcaoglu, Mete; Green, Lucy Santos – Educational Technology Research and Development, 2019
In this mixed-methods study, we examined if students benefitted from a game design course offered during an enrichment hour in terms of gains in their system analysis and design skills. Students at a rural middle school in Southeast US (n = 19) attended a 1-hour game design course offered weekly during an academic enrichment class period, for the…
Descriptors: Systems Approach, Computer Games, Design, Rural Schools
Donley, Kevin S. – ProQuest LLC, 2018
The fundamentals of computer science are increasingly important to consider as critical educational and occupational competencies, as evidenced by the rapid growth of computing capabilities and the proliferation of the Internet in the 21st century, combined with reimagined national education standards. Despite this technological and social…
Descriptors: Computer Science Education, Programming, Programming Languages, Computation
Othman, Mahfudzah; Muhd Zain, Nurzaid – Turkish Online Journal of Distance Education, 2015
This study is primarily focused on assessing the students' logical thinking and cognitive levels in an online collaborative environment. The aim is to investigate whether the online collaboration has significant impact to the students' cognitive abilities. The assessment of the logical thinking involved the use of the online Group Assessment…
Descriptors: Cognitive Ability, Online Courses, Cooperative Learning, Foreign Countries

Ferguson, David L.; Henderson, Peter B. – Machine-Mediated Learning, 1987
Designed initially for use in college computer science courses, the model and computer-aided instructional environment (CAIE) described helps students develop algorithmic problem solving skills. Cognitive skills required are discussed, and implications for developing computer-based design environments in other disciplines are suggested by…
Descriptors: Algorithms, Classroom Environment, Cognitive Ability, Computer Assisted Instruction

Norris, Cathleen; And Others – Journal of Research on Computing in Education, 1992
Pretests measuring critical thinking ability and mental alertness were administered to 72 first-year college students at the beginning of an introductory computer programing course. Posttests administered at the end of the semester showed significant improvement in both areas, indicating that instruction in programing improves students' critical…
Descriptors: Cognitive Ability, Cognitive Tests, Computer Science Education, Critical Thinking
Vodounon, Maurice A. – Journal of Computers in Mathematics and Science Teaching, 2004
The primary purpose of this study was to analyze different perceptions displayed by novice programmers in the C++ programming language, and determine if modularization ability could be improved by an instructional treatment that concentrated on solving computer programs from previously existing modules. This study attempted to answer the following…
Descriptors: College Students, Academic Achievement, Student Attitudes, Programming Languages