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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Bihao Hu; Longwei Zheng; Jiayi Zhu; Lishan Ding; Yilei Wang; Xiaoqing Gu – IEEE Transactions on Learning Technologies, 2024
This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…
Descriptors: Artificial Intelligence, Natural Language Processing, Instructional Design, Prompting
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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
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Huaiya Liu; Yuyue Zhang; Jiyou Jia – IEEE Transactions on Learning Technologies, 2024
Intelligent tutoring systems (ITSs) aim to deliver personalized learning support to each learner, aligning with the educational aspiration of many countries, including China. ITSs' personalized support is mainly achieved by providing individual prompts to learners when they encounter difficulties in problem-solving. The guiding principles and…
Descriptors: Intelligent Tutoring Systems, Mathematics Achievement, Individualized Instruction, Foreign Countries
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Di Blas, N.; Bucciero, A.; Mainetti, L.; Paolini, P. – IEEE Transactions on Learning Technologies, 2012
Multi-User Virtual Environments (MUVEs) are often used to support learning in formal and informal educational contexts. A technology-based educational experience consists of several elements: content, syllabus, roles, sequence of activities, assignments, assessment procedures, etc. that must be aligned with the affordances of the technologies to…
Descriptors: Virtual Classrooms, Educational Technology, Cooperative Learning, Instructional Design
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Magnisalis, Ioannis; Demetriadis, Stavros – IEEE Transactions on Learning Technologies, 2017
This article presents evaluation data regarding the MAPIS3 architecture which is proposed as a solution for the data-transfer among various tools to promote flexible collaborative learning designs. We describe the problem that this architecture deals with as "tool orchestration" in collaborative learning settings. This term refers to a…
Descriptors: Computer Uses in Education, Cooperative Learning, Computer System Design, Internet
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Manero, Borja; Torrente, Javier; Fernandez-Vara, Clara; Fernandez-Manjon, Baltasar – IEEE Transactions on Learning Technologies, 2017
This study examines the influence of players' age, gender, and gaming preferences and habits (from now on, "gaming preferences") on the effectiveness of a specific videogame that has been designed to increase the interest towards classical theater among teenagers. Using a validated instrument, participants were divided into four groups…
Descriptors: Computer Uses in Education, Gender Differences, Age Differences, Instructional Effectiveness
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Tan, Esther; So, Hyo-Jeong – IEEE Transactions on Learning Technologies, 2015
This paper investigates the relationship between activity design and discourse on a mobile learning trail, considering the physical affordances of the real world platform in designing contextual learning experiences. We adopted a "context-oriented" and "process-oriented" pedagogical approach in designing the mobile learning…
Descriptors: Learning Activities, Instructional Design, Telecommunications, Handheld Devices
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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