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Li Feng; Xiaoqing Shen; Zhaoyuan Xie; Xiaohui Yan – Education and Information Technologies, 2025
Gamification mechanisms have been increasingly integrated into educational environments to enhance learner's engagement and improve the effectiveness of online courses. However, the precise effects of gamification on learner's engagement, including the factors that influence this behavior, remain under-explored. This study addresses this gap by…
Descriptors: Gamification, Electronic Learning, Learner Engagement, Student Motivation
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Meina Zhu; Min Young Doo; Sara Masoud; Yaoxian Huang – Education and Information Technologies, 2025
This study examines the influences of learners' motivation, self-monitoring, and self-management on learning satisfaction in online learning environments. The participants were 185 undergraduates and 99 graduate students majoring in computer science and engineering. The participants' motivation, self-monitoring, self-management, and learning…
Descriptors: Student Satisfaction, Differences, Undergraduate Students, Graduate Students
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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
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Belén Ramírez de Arellano Falcón; Javier del Olmo-Muñoz; Ramón Cózar-Gutiérrez; José Antonio González-Calero – Asia Pacific Education Review, 2025
Computational thinking is becoming an essential skill in educational systems. There is, however, still a great deal to learn about it. This research aims to evaluate whether the inclusion of a specific material (Junior School Bebras Cards) favors the development of primary students' computational thinking skills. For this purpose, 37 fourth-grade…
Descriptors: Thinking Skills, Computer Science Education, Game Based Learning, Outcomes of Education
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Allison Master; Taylor Alexander; Jennifer Thompson; Weihua Fan; Andrew N. Meltzoff; Sapna Cheryan – Journal of Research on Technology in Education, 2025
Motivating girls to enroll in computer science (CS) courses is critically important. Stereotypes that girls are less interested than boys in CS may deter girls. Three preregistered experimental studies (N = 1,053) examined causal links between gender-interest stereotypes and middle school students' CS motivation. Experiment 1 showed that…
Descriptors: Females, Womens Education, Middle School Students, Computer Science Education
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Golnoush Haddadian; Prajwal Panzade; Daniel Takabi; Min Kyu Kim – International Journal of Technology in Education, 2025
In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…
Descriptors: Computer Science Education, Artificial Intelligence, Curriculum Development, Curriculum Implementation
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Rafael Herrero-Álvarez; Rafael Arnay; Eduardo Segredo; Gara Miranda; Coromoto Leon – IEEE Transactions on Learning Technologies, 2025
RoblockLLy is an educational robotics simulator designed for primary and secondary school students, whose goal is to increase their interest in science, technology, engineering, and mathematics. In the particular case of computer science, it allows developing computational thinking skills. It has been designed with ease of use in mind. This free…
Descriptors: Secondary School Students, STEM Education, Computer Science Education, Robotics
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Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
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Kristy A. Robinson; So Yeon Lee – Journal of Experimental Education, 2025
Students vary in their perceptions of teachers' motivational supports, even within the same classroom, but it is unclear why this is the case. To enable the design of equitable environments and understand the theoretical nature of motivational climate, this study explored demographic differences in university students' perceptions of instruction…
Descriptors: Foreign Countries, STEM Education, Undergraduate Students, Introductory Courses
Adrian Curaj; Cezar Hâj; Cosmin Holeab; Irina Geanta; Alina Iura; Dorin Cote?; Oana ?în?ar – European Union, 2025
The present report overseen by the Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) on behalf of the European Commission and the European Education and Culture Executive Agency as part of the contract for the implementation of the European Digital Education Hub, is the third report in a series…
Descriptors: Foreign Countries, Educational Innovation, Electronic Learning, Educational Practices