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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Hüseyin Ates; Mustafa Köroglu – Journal of Computer Assisted Learning, 2024
Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…
Descriptors: Cooperative Learning, Comparative Analysis, Academic Achievement, Learner Engagement
Heng-Sheng Lin; Chih-Yun Chiang; Cheng-Wei Huang; Chao-Cian Wu; Shuo-Jun Hong – International Journal of Game-Based Learning, 2025
Taiwanese students learn Chinese from 3 years old using Bopomofo (Zhuyin Fuhao), but they still struggle with spelling and reading, even in middle school. Thus, we guided students still struggling to read Chinese text to use their logical skills and creativity to incorporate the Bopomofo phonetic alphabet into the Rummikub strategy board game.…
Descriptors: Foreign Countries, Learning Motivation, Active Learning, Feedback (Response)
Carl Boel; Tijs Rotsaert; Martin Valcke; Tammy Schellens – Journal of Computer Assisted Learning, 2025
Background: As immersive virtual reality (IVR) is increasingly being used by teachers worldwide, it becomes pressing to investigate how this technology can foster learning processes. Several authors have pointed to this need, as results on the effectiveness of IVR for learning are still inconclusive. Objectives: To address this gap, we first…
Descriptors: Artificial Intelligence, Computer Simulation, Learning Strategies, Middle School Students
Jia-Hua Zhao; Patcharin Panjaburee; Gwo-Jen Hwang; Wararat Wongkia – Interactive Learning Environments, 2024
Scholars have suggested English classrooms with sufficient context and fun activities to increase English performance and promote learning motivation. With the rapid growth of technology-enhanced learning, virtual reality (VR) has become increasingly popular in English learning. Using VR without a well-designed learning environment, however, may…
Descriptors: Foreign Countries, Metacognition, Game Based Learning, Computer Simulation
Yang, Kai-Hsiang; Chen, Hsiao-Hua – Interactive Learning Environments, 2023
Many studies have confirmed that digital game-based learning can effectively improve students' learning motivation and that properly integrating learning strategies into digital games can effectively improve students' learning achievement. However, rare research has been considered the long-term effect of learning retention. In the current study,…
Descriptors: Active Learning, Learning Strategies, Electronic Learning, Game Based Learning
Bojan Lazarevic; Maja Stojanovic; Jelena Pisarov; Nemanja Bojanic – Journal of Baltic Science Education, 2024
This study examined the impact on the motivation of students toward learning physics upon applying the Nikola Tesla Center (NTC) learning system. The research was conducted using a quasi-experiment with a pretest-posttest non-equivalent control group design. The participants considered were a large group of 1371 students, from various grades and…
Descriptors: Learning Motivation, Science Education, Physics, Science Instruction
Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Eva Fidia Lestari; Masagus Firdaus; Hanni Yukamana – Journal of English Teaching, 2024
The pandemic has affected many aspects of our lives including education and that has caused the Government to provide alternative teaching methods and make recommendations for online learning. Since smartphones and laptops using the internet are the only tools for learning, students are increasingly playing online games and being exposed to…
Descriptors: Grade 7, Computer Games, Video Games, Game Based Learning
Hsiu-Ling Chen; Abebayehu Yohannes; Ning-Li Hung – British Journal of Educational Technology, 2025
The escape room game is an example of digital game-based learning that has become a popular learning tool in recent years. However, not enough is known about enthusiasm for and promising reports of the use of escape rooms in education. The purpose of this study was to investigate the effects of escape room game-based civics education on eighth…
Descriptors: Game Based Learning, Computer Games, Computer Simulation, Video Games
Lidia Widia Sari; Atmini Dhoruri – International Society for Technology, Education, and Science, 2024
Students need critical thinking skills to develop their ideas in mathematics learning situations at school, and they can apply mathematical concepts in solving contextual problems. Junior high school students have unique characteristics and are highly curious about new knowledge. Therefore, it is crucial to apply the learning models that support…
Descriptors: Critical Thinking, Problem Based Learning, Mathematics Instruction, Student Centered Learning
Elvis Nizigama; Ali Mohammad Fazilatfar; Mohammad Javad Rezai – Iranian Journal of Language Teaching Research, 2024
This mixed methods study compares L2 learning motivation of Burundi simultaneous learners of French, English and Kiswahili, mainly focusing on L2 Motivational Self System (L2MSS). A total of 348 junior high school students participated in a 60-item questionnaire survey, and 12 of those learners participated in a follow-up semi-structured…
Descriptors: Learning Motivation, Second Language Learning, Second Language Instruction, Multilingualism
Hsien-Sheng Hsiao; Jhen-Han Chen; Tze-ling Chang; Po-Hsun Li; Guang-Han Chung – Journal of Science Education and Technology, 2024
The integration of education and robotics has emerged as a crucial development in the technological landscape. This study focuses on the use of a robot teaching assistant to enhance the learning efficiency of 8th-grade students in hands-on STEM activities centered around the theme of "Smart City." It explores the impact of educational…
Descriptors: Junior High School Students, STEM Education, Knowledge Level, Learning Motivation
Jihoon Kang; Jina Kim – Journal of Baltic Science Education, 2024
While existing studies have underscored the educational benefits of generating explanatory hypotheses (EHs) in response to unexpected outcomes, empirical research on the underlying mechanisms driving their effectiveness in science learning remains limited. Thus, this study aimed to empirically examine the effectiveness of generating an EH for…
Descriptors: Science Instruction, Learning Processes, Protocol Analysis, Scientific Concepts