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Sergio Tirado-Olivares; Rocio Minguez-Pardo; Javier del Olmo-Munoz; Jose A. Gonzalez-Calero – IEEE Transactions on Learning Technologies, 2025
Decimal misconceptions are a persistent challenge in mathematics education, often hindering students' long-term understanding. This study examines how learning analytics (LA) can be effectively integrated into instructional sequences to address these misconceptions, providing teachers with real-time insights for formative assessment. Despite the…
Descriptors: Learning Analytics, Elementary School Students, Elementary School Mathematics, Mathematics Education
Echeverria, Vanessa; Yang, Kexin; Lawrence, LuEttaMae; Rummel, Nikol; Aleven, Vincent – IEEE Transactions on Learning Technologies, 2023
Combining individual and collaborative learning is common, but dynamic combinations (which happen as-the-need arises, rather than in preplanned ways, and may happen on an individual basis) are rare. This work reports findings from a technology probe study exploring alternative designs for classroom co-orchestration support for dynamically…
Descriptors: Man Machine Systems, Artificial Intelligence, Cooperative Learning, Educational Technology
Chun-Hsin Kuo; Meng-Jun Chen; Robasa Nababan; Hsiao-Ching She – IEEE Transactions on Learning Technologies, 2024
Game-based learning (GBL) has long been recognized as an effective way to engage students in learning through games, but little emphasis has been placed on scaffolding support for students, which hinders their learning. Therefore, our design of Space Adventure GBL ties games closely to scaffolds at every stage and investigates what role games and…
Descriptors: Game Based Learning, Scaffolding (Teaching Technique), Grade 8, Instructional Effectiveness
Botelho, Anthony F.; Varatharaj, Ashvini; Patikorn, Thanaporn; Doherty, Diana; Adjei, Seth A.; Beck, Joseph E. – IEEE Transactions on Learning Technologies, 2019
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggling students. Many learning platforms, particularly those driving or supplementing instruction, are…
Descriptors: Student Attrition, Student Behavior, Early Intervention, Identification
Hwang, Wu-Yuin; Utami, Ika Qutsiati; Purba, Siska Wati Dewi; Chen, Holly S. L. – IEEE Transactions on Learning Technologies, 2020
This paper aimed to investigate the effect of a mobile app on mathematics learning in authentic contexts. Authentic contexts contain rich resources wherein students can use authentic objects as aid in advanced educational technology-assisted mathematics learning. We designed Ubiquitous-Fraction (U-Fraction), a mobile application that helps…
Descriptors: Instructional Effectiveness, Mathematics Instruction, Mathematics Achievement, Web Based Instruction
Sara Capecchi; Antonio Lieto; Federica Patti; Ruggero G. Pensa; Amon Rapp; Fabiana Vernero; Sandra Zingaro – IEEE Transactions on Learning Technologies, 2024
The amount of news on the web often confuses the ideas of the reader, who struggles to disentangle information that is sometimes contradictory and difficult to decipher. In the face of such an articulated scenario, the role played by schools is absolutely central: the development of critical thinking in young people (and by extension in their…
Descriptors: Middle School Students, Gamification, Social Media, Learning Activities
Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min; Liu, Tzu-Yu – IEEE Transactions on Learning Technologies, 2017
For this study, we designed learning activities in which students applied newly acquired knowledge to solve meaningful daily life problems in their local community--a real, familiar, and relevant environment for students. For example, students learned about signs and rules in class and then applied this new knowledge to create their own rules for…
Descriptors: English (Second Language), Second Language Learning, Junior High School Students, Dictionaries
Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
Hwang, Wu-Yuin; Purba, Siska Wati Dewi; Liu, Yi-Fan; Zhang, Yun-Yuan; Chen, Nian-Shing – IEEE Transactions on Learning Technologies, 2019
Geometry students have few opportunities to apply geometric concepts and solve geometry problems in authentic contexts. We developed a Ubiquitous Geometry (UG) system to teach geometry to elementary students by using it to measure common objects in authentic contexts. The instant study investigates the effects of UG on student geometry estimation…
Descriptors: Geometry, Geometric Concepts, Comparative Analysis, Problem Solving
Kinnebrew John S.; Killingsworth, Stephen S.; Clark, Douglas B.; Biswas, Gautam; Sengupta, Pratim; Minstrell, James; Martinez-Garza, Mario; Krinks, Kara – IEEE Transactions on Learning Technologies, 2017
Digital games can make unique and powerful contributions to K-12 science education, but much of that potential remains unrealized. Research evaluating games for learning still relies primarily on pre- and post-test data, which limits possible insights into more complex interactions between game design features, gameplay, and formal assessment.…
Descriptors: Computer Games, Educational Games, Data Analysis, Science Education