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Menon, Pratibha – Information Systems Education Journal, 2023
Instruction in an introductory programming course is typically designed to introduce new concepts and to review and integrate the more recent concepts with what was previously learned in the course. Therefore, most exam questions in an introductory programming course require students to write lines of code that contain syntactic elements…
Descriptors: Introductory Courses, Programming Languages, Computer Science Education, Correlation
Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Ting, Fridolin S. T. – Journal of Educational Computing Research, 2022
Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…
Descriptors: Computer Science Education, Thinking Skills, Research Reports, Abstract Reasoning
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
The Associations between Computational Thinking and Creativity: The Role of Personal Characteristics
Israel-Fishelson, Rotem; Hershkovitz, Arnon; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Journal of Educational Computing Research, 2021
Computational Thinking (CT) and creativity are considered two vital skills for the 21st century that should be incorporated into future curricula around the world. We studied the relationship between these two constructs while focusing on learners' personal characteristics. Two types of creativity were examined: creative thinking and computational…
Descriptors: Correlation, Thinking Skills, Creative Thinking, Problem Solving
Sakibayev, Razakh; Sakibayev, Spartak; Sakibayeva, Bela – International Journal of Information and Communication Technology Education, 2019
This article is dedicated to the topic of discovering effective ways of developing students' programming abilities with the means of non-programming disciplines and activities. The authors argue that the process of educating students in programming becomes effective if students participates not only in programming lessons themselves, but also…
Descriptors: Programming, Extracurricular Activities, Mathematics Skills, College Students
Hansen, Nils Kristian; Hadjerrouit, Said – International Association for Development of the Information Society, 2021
The purpose of this paper is to investigate students' engagement in computational thinking (CT) and programming with MATLAB when solving a mathematical task in a programming course at the undergraduate level. The data collection method is participant observation of three groups of three students presented with a mathematical task to solve. The…
Descriptors: Computer Science Education, Computer Software, Mathematics Instruction, Teaching Methods
Israel-Fishelson, Rotem; Hershkovitz, Arnon; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Journal of Educational Computing Research, 2021
Creativity and Computational Thinking (CT) have been both extensively researched in recent years. However, the associations between them are still not fully understood despite their recognition as essential competencies for the digital age. This study looks to bridge this gap by examining the association between CT and two types of creativity,…
Descriptors: Learning Analytics, Correlation, Creativity, Creative Thinking
Veerasamy, Ashok Kumar; D'Souza, Daryl; Lindén, Rolf; Laakso, Mikko-Jussi – Journal of Computer Assisted Learning, 2019
Past research has shown that student problem-solving skills may be used to determine student final exam performance. This study reports on the relationship between student perceived problem-solving skills and academic performance in introductory programming, in formative and summative programming assessment tasks. We found that the more effective…
Descriptors: Novices, Programming, Introductory Courses, Summative Evaluation
Türker, Pinar Mihci; Pala, Ferhat Kadir – Journal on School Educational Technology, 2020
The aim of this study is to investigate the computational thinking skills of secondary school students and their perceived self-efficacy related to block-based programming. The study group consists of 464 students attending 5, 6, 7, and 8 grades in a province located in the Central Anatolia region, Turkey. Data were collected by Computational…
Descriptors: Thinking Skills, Self Efficacy, Programming Languages, Secondary School Students
Broisin, Julien; Hérouard, Clément – International Educational Data Mining Society, 2019
How to support students in programming learning has been a great research challenge in the last years. To address this challenge, prior works have mainly focused on proposing solutions based on syntactic analysis to provide students with personalized feedback about their grammatical programming errors and misconceptions. However, syntactic…
Descriptors: Semantics, Programming, Syntax, Feedback (Response)
Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
Ramey, Kay E.; Stevens, Reed; Uttal, David H. – Journal of Educational Psychology, 2020
This study examines the role of spatial reasoning in learning among 5th and 6th grade students participating in a set of in-school, technology-enhanced, STEAM (science, technology, engineering, arts, and math) making activities. We focus our analysis on a particular type of reasoning: spatial reasoning. Prior research has shown that spatial…
Descriptors: STEM Education, Art Education, Spatial Ability, Problem Solving
Simpson, Amber; Bannister, Nicole; Matthews, Gretchen – International Journal of Computer-Supported Collaborative Learning, 2017
There is a positive relationship between student participation in computer-supported collaborative learning (CSCL) environments and improved complex problem-solving strategies, increased learning gains, higher engagement in the thinking of their peers, and an enthusiastic disposition toward groupwork. However, student participation varies from…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Student Participation, Problem Solving
Reilly, Joseph M.; Schneider, Bertrand – International Educational Data Mining Society, 2019
Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…
Descriptors: Problem Solving, Discourse Analysis, Cooperative Learning, Computer Assisted Instruction
Emlek, Baris; Akturk, Ahmet Oguz – International Journal of Research in Education and Science, 2017
The purpose of this study is to determine the views of 2nd year students at a university who received the Programming course designed in accordance with the Web-based Problem Solving Method about the said method (WBPSM). The views of 11 students selected from among the 29 students who had taken the course on a voluntary basis were elicited…
Descriptors: Problem Solving, Web Based Instruction, Student Attitudes, Learning Strategies
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