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Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
Yelitza Freitas; Fernando Martins; Silvia-Natividad Moral-Sánchez; Francisco-José Ruiz-Rey – Educational Process: International Journal, 2025
Background/purpose: This article aims to identify and analyze the actions of a trainee teacher in orchestrating mathematical discussions in an Exploratory Teaching environment. Materials/methods: This qualitative study of an interpretative nature and case study design focuses on analyzing the content of four Multimodal Narratives. Results: The…
Descriptors: Preservice Teachers, Teacher Education Programs, Questioning Techniques, Learning Processes
Hartmann, Christian; Rummel, Nikol; Bannert, Maria – Journal of Learning Analytics, 2022
This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…
Descriptors: Heuristics, Problem Solving, Computer Software, Comparative Analysis
Lommatsch, Christina W.; Moyer-Packenham, Patricia S. – International Journal of Mathematical Education in Science and Technology, 2020
Logical statements are prevalent in mathematics, science and everyday life. The most common logical statements are conditionals, 'If H … , then C … ', where 'H' is a hypothesis and 'C' is a conclusion. Reasoning about conditionals depends on four main conditional contexts (intuitive, abstract, symbolic or counterintuitive). This study tested a…
Descriptors: Mathematical Logic, Logical Thinking, Mathematics Skills, Thinking Skills
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Litster, Kristy; Moyer-Packenham, Patricia S. – Journal of Computers in Mathematics and Science Teaching, 2020
Digital math apps on touch-screen devices have become popular as effective tools to support mathematics learning. Many apps incorporate gaming elements such as points, stars, coins, or storylines to increase student interest and motivation. However, there is limited research regarding the balance of gaming and mathematics elements and how it…
Descriptors: Mathematics Instruction, Computer Games, Computer Software, Student Motivation
Tsai, Meng-Jung; Wu, An-Hsuan; Chen, Yuping – Applied Cognitive Psychology, 2019
This study aimed to examine how different forms (still pictures vs. animations) of seductive illustrations impact text-and-graphic learning processes, perceptions, and outcomes. An eye-tracking experiment of three groups (static, dynamic, and control) was conducted with 60 college and graduate students while learning with PowerPoint slides about…
Descriptors: Eye Movements, Illustrations, Learning Processes, Animation
Chin, Si-Chi – ProQuest LLC, 2013
People learn from prior experiences. We first learn how to use a spoon and then know how to use a different size of spoon. We first learn how to sew and then learn how to embroider. Transferring knowledge from one situation to another related situation often increases the speed of learning. This observation is relevant to human learning, as well…
Descriptors: Transfer of Training, Learning Processes, Models, Authors
Damnik, Gregor; Proske, Antje; Narciss, Susanne; Körndle, Hermann – Journal of Educational Research, 2013
Especially in the context of technology-enhanced informal learning, it is crucial to understand how to design information sources in such a way that learners are not overwhelmed by the demands of the learning process, but at the same time are engaged in higher order thinking processes. Guidance aids learners in dealing with the demands of a…
Descriptors: Educational Technology, Learning Processes, College Students, Retention (Psychology)
Simon, Beth; Bouvier, Dennis; Chen, Tzu-Yi; Lewandowski, Gary; McCartney, Robert; Sanders, Kate – Computer Science Education, 2008
We report on responses to a series of four questions designed to identify pre-existing abilities related to debugging and troubleshooting experiences of novice students before they begin programming instruction. The focus of these questions include general troubleshooting, bug location, exploring unfamiliar environments, and describing students'…
Descriptors: Troubleshooting, Teaching Methods, Computer Science Education, Programming
Huang, Yueh-Min; Huang, Tien-Chi; Wang, Kun-Te; Hwang, Wu-Yuin – Educational Technology & Society, 2009
The ability to apply existing knowledge in new situations and settings is clearly a vital skill that all students need to develop. Nowhere is this truer than in the rapidly developing world of Web-based learning, which is characterized by non-sequential courses and the absence of an effective cross-subject guidance system. As a result, questions…
Descriptors: Markov Processes, Transfer of Training, Probability, Internet
Roth, Wolff-Michael; Lee, Yew-Jin – Educational Media International, 2006
Data-logging exercises in science classrooms assume that with the proper scaffolding and provision of contexts by instructors, pupils are able to meaningfully comprehend the experimental variables under investigation. From a case study of knowing and learning in a fish hatchery using real-time computer statistical software, we show that…
Descriptors: Prior Learning, Computers, Learning Processes, Educational Technology

Taylor, Liz – Journal of Computer Assisted Learning, 2003
Reports on a one-year action research study at the University of Cambridge (United Kingdom) which explored processes by which a cohort of postgraduate teacher trainees learned personal information and communication technology (ICT) skills. Discusses learning strategies reported by students in interviews; considers previous experience and software…
Descriptors: Action Research, Computer Software, Foreign Countries, Higher Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
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