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Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
Maedeh Kazemitabar; Susanne P. Lajoie; Tenzin Doleck – Education and Information Technologies, 2024
For effective teamwork, especially in demanding learning situations like a hackathon, coordination is crucial as it contributes to mutual trust and shared mental models of team members. However, teams experience challenges that mar team coordination. Research has shown that interpersonal skills such as socially-shared emotion regulation (SSER) can…
Descriptors: Emotional Response, Self Control, Teamwork, Coordination
UK Department for Education, 2024
From September 2023 to March 2024, Faculty AI, the National Institute of Teaching (NIoT) and ImpactEd Group (representing the AI in Schools Initiative) have worked with the Department for Education (DfE) to deliver the Use Cases for Generative Artificial Intelligence in Education project. The project explored potential applications for Generative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Computer Science
Vandenberg, Jessica; Tsan, Jennifer; Boulden, Danielle; Zakaria, Zarifa; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – ACM Transactions on Computing Education, 2020
The language and concepts used by curriculum designers are not always interpreted by children as designers intended. This can be problematic when researchers use self-reported survey instruments in concert with curricula, which often rely on the implicit belief that students' understanding aligns with their own. We report on our refinement of a…
Descriptors: Elementary School Students, Knowledge Level, Computer Science, Student Attitudes
Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
Bermingham, Nevan; Boylan, Frances; Ryan, Barry J. – Journal of Peer Learning, 2022
Access Foundation Programmes are a widening-participation initiative designed to encourage engagement in higher education among underrepresented groups, including those with socioeconomic and educational disadvantage. In particular, mature students enrolled in these programmes experience greater difficulties making the transition to tertiary…
Descriptors: Programming, Foreign Countries, Computer Science, Peer Teaching
Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
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
Andreas Larsson; Karin Stolpe – International Journal of Technology and Design Education, 2024
In recent years, subject content such as programming and digital literacy has become an integral part of technology education. However, research shows that many programming teachers lack sufficient formal education to teach programming and show disparate educational and professional experiences. This study investigates how three teachers'…
Descriptors: Knowledge Base for Teaching, Teacher Characteristics, Digital Literacy, Technology Education
ChanMin Kim; Brian R. Belland; Lucas Vasconcelos; Roger B. Hill – SAGE Open, 2024
In this qualitative study, preservice early childhood education teachers created block-based code to control robots and used the robots in field experience at local preschools. The study is grounded in a conceptual framework that weaves together playful programing and resilience, interlocking concepts that can explain sustained engagement during…
Descriptors: Play, Resilience (Psychology), Preservice Teachers, Computer Science
Manuel B. Garcia – Education and Information Technologies, 2025
The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…
Descriptors: Programming, Introductory Courses, Computer Science Education, Mastery Learning
Hamerski, Paul C.; McPadden, Daryl; Caballero, Marcos D.; Irving, Paul W. – Physical Review Physics Education Research, 2022
High school science classrooms across the United States are answering calls to make computation a part of science learning. The problem is that there is little known about the barriers to learning that computation might bring to a science classroom or about how to help students overcome these challenges. This case study explores these challenges…
Descriptors: High School Students, Student Attitudes, Secondary School Science, Science Instruction
Canedo, Edna Dias; Santos, Giovanni Almeida; Leite, Leticia Lopes – Informatics in Education, 2018
The teaching-learning methodology adopted in the Introduction to Computer Science classes may be a process that makes it difficult to understand the principles of programming language for undergraduate students in Computer Science and related areas, generating high failure and course drop out rates. This paper presents an analysis of the results…
Descriptors: Teaching Methods, Introductory Courses, Programming, Programming Languages
Chichekian, Tanya; Trudeau, Joel; Jawhar, Tawfiq – Journal of Science Education and Technology, 2022
This study examined the effects of an Arduino microrobot activity on college students' interest in robotics through three specific objectives: (1) determining how students' conceptual understanding regarding the basics of microcomputing and computer programming changes after engaging in an engineering robotics learning module, (2) assessing the…
Descriptors: College Students, Student Interests, Robotics, Engineering Education