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Xin Gong; Shufan Yu; Jie Xu; Ailing Qiao; Han Han – Education and Information Technologies, 2024
Tangible programming combines the advantages of object manipulation with programmable hardware, which plays an essential role in improving programming skills. As a tool for ensuring the quality of projects and improving learning outcomes, the PDCA cycle strategy is conducive to cultivating reflective thinking. However, there is still a lack of…
Descriptors: Programming, Computer Science Education, Outcomes of Education, Reflection
Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
Baichang Zhong; Xiaofan Liu; Shuiyan Huang – Technology, Pedagogy and Education, 2025
While pair learning (PL) is considered a potential method in STEM education including robotics education (RE), the question of how to pair students for superior learning effects remains. Current grouping strategies for PL in RE are constrained by fixed grouping (FG) and short of attention to dynamic grouping (DG). Therefore, this study aims to…
Descriptors: Robotics, Cooperative Learning, Comparative Analysis, Computer Science Education
Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
Kuo, Hsu-Chan; Yang, Ya-Ting Carolyn; Chen, Jung-San; Hou, Ting-Wei; Ho, Ming-Tzu – IEEE Transactions on Education, 2022
Contribution: Prior studies have shown that project-based learning (PBL) is an effective approach on engineering education. This study further identifies the impact of a design thinking (DT) integrated PBL approach on the college students' learning motivation and creativity. Background: A well-developed robot and its project often require…
Descriptors: Design, Creative Thinking, Active Learning, Student Projects
Galloway, Cynthia; Green, Marybeth; Arole, Al-Ameen O.; Fnu, Irfana Begum – Research in Higher Education Journal, 2021
Creating meaningful learning environments that support university students in their early STEM courses has become a focus of interest for many universities. This research investigated an active learning environment where students used Ozobot robots to visualize complex concepts such as Metabolism, Photosynthesis and Cellular Respiration in an…
Descriptors: Robotics, STEM Education, Metabolism, Teaching Methods
Alqahtani, Muteb M.; Hall, Jacob A.; Leventhal, Maryssa; Argila, Alyssa N. – Digital Experiences in Mathematics Education, 2022
While programming was introduced to mathematics classrooms in the 1980s, emerging robotic technologies have encouraged more widespread integration of these technologies to support the development of K-12 students' mathematical reasoning. The recent emphasis of programming and computational thinking in K-12 education has highlighted the need to…
Descriptors: Mathematics Instruction, Teaching Methods, Robotics, Pretests Posttests
Lagesen, Vivian Anette; Pettersen, Ivar; Berg, Line – European Journal of Engineering Education, 2022
This paper address how we may understand inclusion strategies designed to reduce the gender gap in higher education in engineering and ICT engineering in particular. Based on a case study of a long-term inclusion effort and statistics on recruitment and retainment, we argue that inclusion initiatives which address important inclusion needs and put…
Descriptors: Females, Engineering Education, Computer Science Education, Inclusion
Severson, Rachel L.; Lemm, Kristi M. – Journal of Cognition and Development, 2016
The study of anthropomorphism in adults has received considerable interest with the development of the Individual Differences in Anthropomorphism Questionnaire (IDAQ; Waytz, Cacioppo, & Epley, 2010). Anthropomorphism in children--its development, correlates, and consequences--is also of significant interest, yet a comparable measure does not…
Descriptors: Individual Differences, Measures (Individuals), Questionnaires, Comparative Analysis
Lee, Daniel; Spear, Rita; Kero, Patty – Online Submission, 2017
Students are accessing graduate study online in ever-increasing numbers with interactive experiences differing from those who traditionally enroll in corresponding face-to-face (F2F) classes. Soft skills such as collaboration/teamwork, communication and presentation are important to learning but difficult to practice outside the F2F environment.…
Descriptors: Graduate Students, Synchronous Communication, Asynchronous Communication, Educational Technology
Lawanto, Oenardi; Butler, Deborah; Cartier, Sylvie C.; Santoso, Harry B.; Goodridge, Wade; Lawanto, Kevin N.; Clark, David – Journal of STEM Education: Innovations and Research, 2013
The objective of this exploratory study was to describe patterns in self-regulated learning (SRL) for both high school students and college freshmen while engaged in a design activity. The main research question guiding this study was: How did high school and first-year college students self-regulate their approaches to learning when engaged in an…
Descriptors: Comparative Analysis, Metacognition, High School Students, College Freshmen
Bacivarov, Ioan C.; Ilian, Virgil L. M. – International Journal of Technology and Design Education, 2012
This paper discusses a comparative study of the effects of using a humanoid robot for introducing students to personal robotics. Even if a humanoid robot is one of the more complicated types of robots, comprehension was not an issue. The study highlighted the importance of using real hardware for teaching such complex subjects as opposed to…
Descriptors: Foreign Countries, Computer Science Education, Robotics, Computer Simulation
Rolka, Christine; Remshagen, Anja – International Journal for the Scholarship of Teaching and Learning, 2015
Contextualized learning is considered beneficial for student success. In this article, we assess the impact of context-based learning tools on student grade performance in an introductory computer science course. In particular, we investigate two central questions: (1) does the use context-based learning tools, robots and animations, affect…
Descriptors: Introductory Courses, Computer Science Education, Context Effect, Grades (Scholastic)
Lykke, Marianne; Coto, Mayela; Jantzen, Christian; Mora, Sonia; Vandel, Niels – Journal of Problem Based Learning in Higher Education, 2015
Based on the assumption that wellbeing, positive emotions and engagement influence motivation for learning, the aim of this paper is to provide insight into students' emotional responses to and engagement in different learning designs. By comparing students' reports on the experiential qualities of three different learning designs, their…
Descriptors: Foreign Countries, Problem Based Learning, Student Motivation, Learning Experience
Xinogalos, Stelios – Journal of Educational Computing Research, 2012
Programming microworlds are being used for introducing students to programming for many years. Although many professors and school teachers report positive results from using programming microwords, these results are usually based on anecdotal evidence rather than rigorous empirical evaluation. A question that has not been answered yet with…
Descriptors: Foreign Countries, Programming Languages, Programming, Computer Science Education
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