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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
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
Jinbo Tan; Lei Wu; Shanshan Ma – British Journal of Educational Technology, 2024
The purpose of this study was to investigate the collaborative dialogue patterns of pair programming and their impact on programming self-efficacy and coding performance for both slow- and fast-paced students. Forty-six postgraduate students participated in the study. The students were asked to solve programming problems in pairs; those pairs'…
Descriptors: Coding, Programming, Computer Science Education, Self Efficacy
Minnegalieva, Chulpan Bakievna; Khabibullin, Timur Vakhtangovich; Giniyatullina, Gulchachak Rishatovna; Giniyatullin, Lenar Ildarovich – International Journal of Higher Education, 2020
Online courses on different platforms provide thousands of students with the knowledge and skills they need. This paper presents the results of a survey of students, during which they expressed their opinion on the use of electronic resources in teaching. The survey showed that students are more motivated to study when they understand how their…
Descriptors: Difficulty Level, Electronic Learning, Online Courses, Student Attitudes
Meier, Heidi; Lepp, Marina – Journal of Educational Computing Research, 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods
Sand, Odd Petter; Lockwood, Elise; Caballero, Marcos D.; Mørken, Knut – Digital Experiences in Mathematics Education, 2022
We present here the lessons learned by iteratively designing a tutorial for first-year university students using computer programming to work with mathematical models. Alternating between design and implementation, we used video-taped task interviews and classroom observations to ensure that the design promoted student understanding. The final…
Descriptors: College Freshmen, Mathematical Models, Video Technology, Computer Science Education
Thoma, Athina; Iannone, Paola – International Journal of Research in Undergraduate Mathematics Education, 2022
This exploratory study reports on characteristics of proof production and proof writing observed in the work of first-year university students who took part in workshops on the theorem prover LEAN (https://leanprover.github.io). These workshops were voluntary and offered alongside a transition to proof module in a UK university. Through…
Descriptors: Validity, Mathematical Logic, Mathematics Instruction, Undergraduate Students
Hidiroglu, Çaglar Naci – Journal of Pedagogical Research, 2022
This study adopts a holistic single-case design to explain the task design processes of mathematics student teachers (MSTs) regarding History, Theory, Technology, and Modeling (HTTM). A criterion sampling method was used to select nine MSTs who had successfully completed "algorithms and programming" course. Video analyses, written answer…
Descriptors: Mathematics Teachers, Student Teachers, Instructional Design, Mathematics Instruction
Kenney, Rachael; An, Tuyin; Kim, Sung-Hee; Uhan, Nelson A.; Yi, Ji Soo; Shamsul, Aiman – International Journal of Science and Mathematics Education, 2020
In linear programming, many students find it difficult to translate a verbal description of a problem into a valid mathematical model. To better understand this, we examine the existing characteristics of college engineering students' errors across linear programming (LP) problems. We examined textbooks to identify the types of problems typically…
Descriptors: Programming, Error Patterns, Engineering Education, Word Problems (Mathematics)
Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
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
Kunkle, Wanda M.; Allen, Robert B. – ACM Transactions on Computing Education, 2016
Learning to program, especially in the object-oriented paradigm, is a difficult undertaking for many students. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting with different introductory…
Descriptors: Teaching Methods, Programming, Programming Languages, Computer Science Education
Onah, Daniel F. O.; Pang, Elaine L. L.; Sinclair, Jane E.; Uhomoibhi, James – International Journal of Information and Learning Technology, 2021
Purpose: Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised…
Descriptors: MOOCs, Questionnaires, Learning Strategies, Blended Learning
Cain, A.; Grundy, J.; Woodward, C. J. – European Journal of Engineering Education, 2018
Approaches to learning have been shown to have a significant impact on student success in technical units. This paper reports on an action research study that applied the principles of constructive alignment to improve student learning outcomes in programming units. The proposed model uses frequent formative feedback to engage students with unit…
Descriptors: Portfolio Assessment, Alignment (Education), Task Analysis, Action Research
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
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