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Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
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
Shim, Hyoyoung; Lee, Hyangeun – Education and Information Technologies, 2022
Virtual reality (VR) technology is playing a crucial role in the changing paradigm of education. In many cases, however, VR technology is not being taught because of the lack of relevant educational content at middle and high school levels. This study investigates the effect of design education using VR-based coding on students' competence and…
Descriptors: Design, Computer Simulation, Coding, Competence
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
Marmur, Ofer; Koichu, Boris – Mathematical Thinking and Learning: An International Journal, 2023
This paper explores student emotion and learning experiences fostered by lecturing-style instruction in Real-Analysis problem-centered lessons. We focus on two lessons that were taught by two reputable instructors and involved challenging, mathematically-related problems the students did not understand. Nonetheless, one lesson evoked negative…
Descriptors: Heuristics, Discourse Analysis, Recall (Psychology), Correlation
Huo, Rongrong – European Journal of Science and Mathematics Education, 2023
In our investigation of university students' knowledge about real numbers in relation to computer algebra systems (CAS) and how it could be developed in view of their future activity as teachers, we used a computer algorithm as a case to explore the relationship between CAS and the knowledge of real numbers as decimal representations. Our work was…
Descriptors: Numbers, Computer Science Education, Knowledge Level, Algorithms
Cheng, Po-Jen; Liao, Yuan-Hsun; Yu, Pao-Ta – International Review of Research in Open and Distributed Learning, 2021
With rising societal interest in the subject areas of science, technology, engineering, art and mathematics (STEAM), a micro:bit robotics course with an online group study (OGS) system was designed to foster student learning anytime and anywhere. OGS enables the development of a learning environment that combines real-world and digital-world…
Descriptors: Robotics, Grade 5, Elementary School Students, Teaching Methods
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
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
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
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
Loftus, Mary; Madden, Michael G. – Teaching in Higher Education, 2020
How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on 'subjectification' i.e. 'the coming into presence of unique individual beings'? (Good Education in an Age of Measurement: Ethics, Politics, Democracy. Routledge) Our response to these challenges and the datafication of higher…
Descriptors: Teaching Methods, Data Analysis, Literacy, Learning Processes
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
Howard, Cynthia; Di Eugenio, Barbara; Jordan, Pamela; Katz, Sandra – Cognitive Science, 2017
Peer interaction has been found to be conducive to learning in many settings. Knowledge co-construction (KCC) has been proposed as one explanatory mechanism. However, KCC is a theoretical construct that is too abstract to guide the development of instructional software that can support peer interaction. In this study, we present an extensive…
Descriptors: Interaction, Peer Relationship, Cooperative Learning, Problem Solving
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