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Anshul Shah; Thomas Rexin; Fatimah Alhumrani; William G. Griswold; Leo Porter; Gerald Soosai Raj – ACM Transactions on Computing Education, 2025
Objectives: The traditional, instructor-led form of live coding has been extensively studied, with findings showing that this form of live coding imparts similar learning to static-code examples. However, a concern with Traditional Live Coding is that it can turn into a passive learning activity for students as they simply observe the instructor…
Descriptors: Computer Science Education, Advanced Courses, Active Learning, Programming
Ivanilse Calderon; Williamson Silva; Eduardo Feitosa – Informatics in Education, 2024
Teaching programming is a complex process requiring learning to develop different skills. To minimize the challenges faced in the classroom, instructors have been adopting active methodologies in teaching computer programming. This article presents a Systematic Mapping Study (SMS) to identify and categorize the types of methodologies that…
Descriptors: Foreign Countries, Undergraduate Study, Programming, Computer Science Education
Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems
Garces, Sebastian; Vieira, Camilo; Ravai, Guity; Magana, Alejandra J. – Education and Information Technologies, 2023
Worked examples can help novice learners develop early schemata from an expert's solution to a problem. Nonetheless, the worked examples themselves are no guarantee that students will explore these experts' solutions effectively. This study explores two different approaches to supporting engineering technology students' learning in an…
Descriptors: Learner Engagement, Active Learning, Programming, Engineering Education
Melro, Ana; Tarling, Georgie; Fujita, Taro; Kleine Staarman, Judith – Journal of Educational Computing Research, 2023
Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…
Descriptors: Coding, Computation, Thinking Skills, Learning Processes
Chang-Tik, Chan; Dhaliwal, Jasbir – Learning: Research and Practice, 2022
This study examines the participation of the Less Effective Learning Group(LELG) students in Collaborative Learning in Informal Space (CLIS) to gain more insights in two of the five principles of the Framework of Participation. Their participation is based on relationships of mutual recognition and acceptance and participation requires learning to…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Informal Education
Garcia, Manuel B. – Journal of Educational Computing Research, 2023
Computer programming is a difficult course for many students. Prior works advocated for group learning pedagogies in pursuit of higher-level reasoning and conceptual understanding. However, the methodological gaps in existing implementations warrant further research. This study conducted a three-armed cluster-randomized controlled trial to…
Descriptors: Computer Science Education, Programming, Cooperative Learning, Apprenticeships
Rachel Clune; Avishek Das; Dipti Jasrasaria; Elliot Rossomme; Orion Cohen; Anne M. Baranger – Journal of Chemical Education, 2023
A student-led mathematics bootcamp has been designed and implemented to help foster community building, improve confidence in mathematical skills, and provide mathematical resources for incoming physical chemistry doctoral students. The bootcamp is held immediately before the start of the first semester of graduate school and uses an active…
Descriptors: Chemistry, Graduate Students, Workshops, Mathematics Skills
Peidi Gu; Jiaming Wu; Zui Cheng; Yu Xia; Miaoting Cheng; Yan Dong – Education and Information Technologies, 2025
Teaching computational thinking skills to novice college students via programming poses considerable challenges. It involves learning programming language syntax and commands, along with fostering higher-order skills crucial for both computational thinking proficiency and future careers. To address this, we proposed a pedagogical approach…
Descriptors: Computation, Thinking Skills, Active Learning, Student Projects
Rawad Chaker; Théodore Njingang Mbadjoin – Technology, Pedagogy and Education, 2025
Drawing on a situated approach, the authors study the joint effects of lesson plans, digital artefacts (robots and tablets), spatial behaviours of students and teachers, on reconfiguration of space and interactions between students and teachers. Video observations, cluster analyses and structural equation modelling of indicators show that the…
Descriptors: Robotics, Elementary Secondary Education, Space Utilization, Lesson Plans
Grethe Sandstrak; Bjorn Klefstad; Arne Styve; Kiran Raja – IEEE Transactions on Education, 2024
Teaching programming efficiently to students in the first year of computer science education is challenging. It is especially cumbersome to retain the interest of both groups, when the student group consists of novice (i.e., those who have never programmed before) and expert programmers in the same crowd. Thus, individualized teaching cannot be…
Descriptors: Computer Science Education, Programming, Teaching Methods, College Freshmen
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
Vincenti, Giovanni – Informatics in Education, 2022
Preparing students for the workforce is a balancing act that involves theory, practice, and assessment. As students navigate an educational experience that is, however, often distant from real-world needs, it is imperative that academia finds a novel way to bridge the gap. As many organizations utilize open challenges to attract ideas and talent,…
Descriptors: Undergraduate Students, Active Learning, Student Projects, Problem Solving
Ubaidah, Ubaidah; Loeis, Minaldi – Journal of Educational Research and Practice, 2022
The objective of this research is to describe the implementation of project-based learning (PJBL) in improving computer programming competency in a higher education setting. The method applied in this study is action research with a one-cycle framework with four phases of development: (a) planning, (b) action, (c) observing, and (d) reflection…
Descriptors: Programming, Competence, Computer Science Education, College Freshmen

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