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Eva Cerezo; Teresa Coma-Rosello; Antonio Aguelo; Ana Cristina Blasco-Serrano; Maria Angeles Garrido – IEEE Transactions on Learning Technologies, 2024
Intergenerational games to be played by grandparents and their grandchildren can be mutually beneficial for both age groups: breaking with age stereotypes, linking the learning and leisure needs of both generations and encouraging communication, solidarity, and social connectedness between generations. Due to the COVID-19 pandemic, it was…
Descriptors: Intergenerational Programs, Interaction, Information Technology, Story Telling
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Belle Li; Curtis J. Bonk; Chaoran Wang; Xiaojing Kou – IEEE Transactions on Learning Technologies, 2024
This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…
Descriptors: Independent Study, Language Acquisition, Artificial Intelligence, Computer Mediated Communication
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Mo Wang; Minjuan Wang; Xin Xu; Lanqing Yang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…
Descriptors: Artificial Intelligence, Information Technology, Information Retrieval, Flipped Classroom
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De Santo, Alessio; Farah, Juan Carlos; Martinez, Marc Lafuente; Moro, Arielle; Bergram, Kristoffer; Purohit, Aditya Kumar; Felber, Pascal; Gillet, Denis; Holzer, Adrian – IEEE Transactions on Learning Technologies, 2022
Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive…
Descriptors: Computation, Thinking Skills, Computer Science, Higher Education
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Martin, Sergio; Lopez-Martin, Esther; Moreno-Pulido, Alexis; Meier, Russ; Castro, Manuel – IEEE Transactions on Learning Technologies, 2021
This article analyzes a survey delivered in 2019 to 259 experts in engineering education that asked them to forecast information and communication technologies, which were most likely to impact the practice of engineering education based on the expert's discipline (electrical, electronics, mechanical, telecommunications engineering, computer…
Descriptors: Futures (of Society), Engineering Education, Specialists, Information Technology
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Han, Peng-Fei; Zhao, Feng-Kui; Zhao, Gang – IEEE Transactions on Learning Technologies, 2022
Mechanical assembly courses are widely set up for mechanical and vehicle engineering majors. Teaching in these classes is traditionally presented in the form of 2-D lectures, which are ineffective for students to understand complex 3-D information. The study presented in this article aimed to investigate whether augmented reality (AR) could…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Hu, Jie; Peng, Yi; Chen, Xiao – IEEE Transactions on Learning Technologies, 2023
The prevalence of information and communication technologies (ICTs) has brought about profound changes in the field of reading, resulting in a large and rapidly growing number of young digital readers. The article intends to identify key contextual factors that synergistically differentiate high and low performers, high and average performers, and…
Descriptors: Decoding (Reading), Educational Technology, Information Technology, Reading Skills
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Motejlek, Jiri; Alpay, Esat – IEEE Transactions on Learning Technologies, 2021
This article presents and analyzes existing taxonomies of virtual and augmented reality and demonstrates knowledge gaps and mixed terminology, which may cause confusion among educators, researchers, and developers. Several such occasions of confusion are presented. A methodology is then presented to construct a taxonomy of virtual reality and…
Descriptors: Taxonomy, Teaching Methods, Artificial Intelligence, Educational Objectives
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Fernandez-Nieto, Gloria Milena; Echeverria, Vanessa; Shum, Simon Buckingham; Mangaroska, Katerina; Kitto, Kirsty; Palominos, Evelyn; Axisa, Carmen; Martinez-Maldonado, Roberto – IEEE Transactions on Learning Technologies, 2021
There is growing interest in creating learning analytics feedback interfaces that support students directly. While dashboards and other visualizations are proliferating, the evidence is that many fail to provide meaningful insights that help students reflect productively. The contribution of this article is qualitative and quantitative evidence…
Descriptors: Student Attitudes, Story Telling, Accountability, Formative Evaluation
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Moyne, Martina M.; Herman, Maxwell; Gajos, Krzysztof Z.; Walsh, Conor J.; Holland, Donal P. – IEEE Transactions on Learning Technologies, 2018
This article describes the development of the Design Evaluation and Feedback Tool (DEFT), a custom-built web-based system that collects and reports data to support teaching, learning, and research in project-based engineering design education. The DEFT system collects data through short weekly questionnaires for students and instructors in…
Descriptors: Engineering Education, Design, Active Learning, Student Projects
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Munoz-Cristobal, Juan A.; Asensio-Perez, Juan I.; Martinez-Mones, Alejandra; Prieto, Luis P.; Jorrin-Abellan, Ivan M.; Dimitriadis, Yannis – IEEE Transactions on Learning Technologies, 2018
Technology offers rich opportunities for learning across different physical and virtual spaces. However, most of current across-spaces proposals are either highly teacher-centered, inflexible in the students' self-management of learning artifacts during the enactment, or allow the teacher little/no control of such students' management of…
Descriptors: Computer Uses in Education, Technology Integration, Pilot Projects, Electronic Learning
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Fessl, Angela; Wesiak, Gudrun; Rivera-Pelayo, Verónica; Feyertag, Sandra; Pammer, Viktoria – IEEE Transactions on Learning Technologies, 2017
This paper presents a concept for in-app reflection guidance and its evaluation in four work-related field trials. By synthesizing across four field trials, we can show that computer-based reflection guidance can function in the workplace, in the sense of being accepted as technology, being perceived as useful and leading to reflective learning.…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Workplace Learning, Reflection
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Hatala, M.; Gasevic, D.; Siadaty, M.; Jovanovic, J.; Torniai, C. – IEEE Transactions on Learning Technologies, 2012
Recent research in Technology-Enhanced Learning (TEL) demonstrated several important benefits that semantic technologies can bring to the TEL domain. An underlying assumption for most of these research efforts is the existence of a domain ontology. The second unspoken assumption follows that educators will build domain ontologies for their…
Descriptors: Taxonomy, Semantics, Educational Technology, Technology Uses in Education
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Songmuang, Pokpong; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2011
The purpose of this research is to automatically construct multiple equivalent test forms that have equivalent qualities indicated by test information functions based on item response theory. There has been a trade-off in previous studies between the computational costs and the equivalent qualities of test forms. To alleviate this problem, we…
Descriptors: Item Response Theory, Mathematics, Test Construction, Test Format
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Kaschig, A.; Maier, R.; Sandow, A.; Lazoi, M.; Schmidt, A.; Barnes, S.-A.; Bimrose, J.; Brown, A.; Bradley, C.; Kunzmann, C.; Mazarakis, A. – IEEE Transactions on Learning Technologies, 2013
The level of similarity of knowledge work across occupations and industries allows for the design of supportive information and communication technology (ICT) that can be widely used. In a previous ethnographically informed study, we identified activities that can be supported to increase knowledge maturing, conceptualized as goal-oriented…
Descriptors: Learning Activities, Technology Uses in Education, Best Practices, Telephone Surveys
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