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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
Jana Gonnermann-Müller; Jule M. Krüger – Journal of Computer Assisted Learning, 2025
Background: Despite the numerous positive effects of augmented reality (AR) on learning, previous research has shown ambiguous results regarding the cognitive demand on the learner arising from, for example, the overlay of virtual elements or novel interaction techniques. At the same time, the number of evidence-based guidelines on designing AR is…
Descriptors: Computer Simulation, Computer Assisted Design, Difficulty Level, Cognitive Processes
Andy Nguyen; Faaiz Gul; Belle Dang; Luna Huynh; Tuure Tuunanen – Innovations in Education and Teaching International, 2025
Generative Artificial Intelligence (GenAI) technologies have introduced significant changes to higher education, but the role of Embodied GenAI Agents in Mixed Reality (MR) environments is still relatively unexplored. This study was carried out to develop an embodied GenAI system designed to facilitate active learning, self-regulated learning and…
Descriptors: Active Learning, Higher Education, Self Management, Learning Strategies
Zhao, Fuzheng; Liu, Gi-Zen; Zhou, Juan; Yin, Chengjiu – Educational Technology & Society, 2023
Big data in education promotes access to the analysis of learning behavior, yielding many valuable analysis results. However, with obscure and insufficient guidelines commonly followed when applying the analysis results, it is difficult to translate information knowledge into actionable strategies for educational practices. This study aimed to…
Descriptors: Learning Analytics, Man Machine Systems, Artificial Intelligence, Learning Strategies
Mohd Hanafi Azman Ong; Nur Syafikah Ibrahim – International Journal of Information and Learning Technology, 2024
Purpose: Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions…
Descriptors: Electronic Learning, Positive Attitudes, Undergraduate Students, Public Colleges
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
Sokratis Tselegkaridis; Theodosios Sapounidis; Christos Tokatlidis; Dimitrios Papakostas – IEEE Transactions on Education, 2025
Contribution: This study focuses on microcontroller circuits and aims to: 1) investigate the impact of formal reasoning on students' post-knowledge using catastrophe theory; 2) compare the different combination sequences of tangible user interface (TUI) and graphical user interface (GUI); and 3) assess the usability of both interfaces and explore…
Descriptors: College Students, Electronics, Electronic Equipment, Engineering Education
Gokturk, Nazlinur; Chukharev-Hudilainen, Evgeny – Language Testing, 2023
With recent technological advances, researchers have begun to explore the potential use of spoken dialog systems (SDSs) for L2 oral communication assessment. While several studies support the feasibility of building these systems for various types of oral tasks, research on the construct validity of SDS-delivered tasks is still limited. Thus, this…
Descriptors: Oral Language, Dialogs (Language), Second Language Learning, Second Language Instruction
Mahmoud M. S. Abdallah – Online Submission, 2024
This research study explores the potential of a pedagogical model of self-regulated learning supported with Artificial Intelligence (AI) chatbots to enhance self-expression and reflective writing skills for novice EFL student teachers at Faculty of Education, Assiut University. The study adopted a pre-post quasi-experimental design, that starts…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Student Teachers
Agrati, Laura Sara; Burgos, Daniel; Ducange, Pietro; Limone, Pierpaolo; Pecori, Riccardo; Perla, Loredana; Picerno, Pietro; Raviolo, Paolo; Stracke, Christian M. – Education Sciences, 2021
In this paper, we report the scientific experience of HELMeTO 2020, the second edition of the International Workshop on Higher Education Learning Methodologies and Technologies Online, held virtually in Bari (Italy) in September 2020 because of the COVID-19 pandemic. The call received 59 proposals from nine countries, 39 papers were accepted to…
Descriptors: Distance Education, Higher Education, Electronic Learning, Technology Uses in Education
Daniela, Linda, Ed.; Lytras, Miltiadis, Ed. – IGI Global, 2018
Educational strategies have evolved over the years due to research breakthroughs and the application of technology. By using the latest learning innovations, curriculum and instructional design can be enhanced and strengthened. Also, as learners move away from traditional scholarly media and toward technology-based education, students gain an…
Descriptors: Constructivism (Learning), Teaching Methods, Learning Strategies, Educational Technology
Riojas, M.; Lysecky, S.; Rozenblit, J. – IEEE Transactions on Learning Technologies, 2012
Numerous efforts seek to increase awareness, interest, and participation in scientific and technological fields at the precollege level. Studies have shown these students are at a critical age where exposure to engineering and other related fields such as science, mathematics, and technology greatly impact their career goals. A variety of advanced…
Descriptors: Educational Technology, Engineering Education, Engineering, High Schools
Meiselwitz, Gabriele; Chakraborty, Suranjan – Information Systems Education Journal, 2011
This paper discusses the connection between age and strategies for learning new technology related tasks. Many users have to learn about new devices and applications on a frequent basis and use a variety of strategies to accomplish this learning process. Approaches to learning new technology related tasks vary and can contribute to a user's…
Descriptors: Age Differences, Age Groups, Learning Strategies, Technology Integration
Peer reviewedPask, G.; Scott, B. C. E. – International Journal of Man-Machine Studies, 1973
Descriptors: Computer Oriented Programs, Concept Teaching, Learning Processes, Learning Strategies

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