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Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Odden, Tor Ole B.; Silvia, Devin W.; Malthe-Sørenssen, Anders – Journal of Research in Science Teaching, 2023
This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable…
Descriptors: Computation, Essays, Undergraduate Students, STEM Education
Badrinath, Anirudhan; Wang, Frederic; Pardos, Zachary – International Educational Data Mining Society, 2021
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…
Descriptors: Models, Markov Processes, Mathematics, Intelligent Tutoring Systems
Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Aslina Saad; Suhaila Zainudin – Interactive Learning Environments, 2024
This study delves into the integration of Project-Based Learning (PBL) and Computational Thinking (CT) to enhance 21st century learning. Through a Narrative Literature Review (NLR), pivotal strategies for effective implementation are identified. These include fostering collaborative pedagogy, employing visualization tools, embracing diverse…
Descriptors: Active Learning, Student Projects, Teaching Methods, Computation
Abarkan, Ali; BenYakhlef, Majid – Education and Information Technologies, 2022
Learning to code is far from an easy task, it is a promising approach that underscores the use of the video game culture of students to motivate them to invest their time in the practice of programming. The students in this discipline are often discouraged by the amount of information to remember and the complex and constraining syntaxes.…
Descriptors: Programming Languages, Educational Games, Computer Games, Learning Motivation
Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
James D. Stevens – ProQuest LLC, 2021
The ability to efficiently optimize or re-optimize an algorithm for high performance on a particular processor architecture is crucial in a wide spectrum of engineering and scientific applications. To help bridge the gap between fully automated optimization, which does not reliably produce optimal code, and fully manual optimization, which is…
Descriptors: Computation, Programming, Computer Graphics, Automation
Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Chen, Jhen-Han; Chien, Yu-Hung; Chang, Chung-Pu; Chung, Guang-Han – Educational Technology Research and Development, 2023
Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…
Descriptors: Gamification, Models, High School Students, Programming
Bakki, Aicha; Oubahssi, Lahcen; George, Sébastien; Cherkaoui, Chihab – Education and Information Technologies, 2019
This paper presents an authoring tool in the cMOOC context called MOOCAT (MOOC Authoring Tool). It is a visual authoring tool that helps teachers to design cMOOC-oriented pedagogical scenarios. MOOCAT has two main innovative features. The first is that it offers a tool for conceiving pedagogical scenarios in a simple way through graphical…
Descriptors: Online Courses, Design, Integrated Learning Systems, Models
Chongning Sun – ProQuest LLC, 2021
Self-efficacy is seen as a barrier for youth, females in particular, to enter computer science (CS). In this study, I presented a near-peer mentoring model that focused on changing the mentee's self-efficacy in CS. The present study had three objectives: (a) to design a near-peer mentoring model (i.e., a conceptual model) around the sources of…
Descriptors: Peer Teaching, Mentors, Self Efficacy, Programming
Sun, Chongning; Clarke-Midura, Jody – Mentoring & Tutoring: Partnership in Learning, 2022
We developed a near-peer mentoring model for high school youth to mentor middle school youth on how to program using MIT App Inventor. The purpose of this study was to investigate: (a) the effectiveness of the near-peer mentoring model for the mentees; and (b) how the mentees' vicarious experience with the near-peer mentors led to changes in their…
Descriptors: Mentors, Peer Teaching, Models, High School Students