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Xinyu Chang; Zhenping Yan; Gary K. W. Wong – British Journal of Educational Technology, 2026
With the increasingly ubiquitous presence of artificial intelligence (AI) technology in digital society, educators appeal to foster the public's general knowledge about AI from young children. Studies have been conducted to create learning activities for children's development of AI literacy, but seldom did they investigate the resources children…
Descriptors: Young Children, Knowledge Level, Artificial Intelligence, Cognitive Tests
Ryan Straight – Journal of Cybersecurity Education, Research and Practice, 2024
This study applies a posthuman lens to the National Initiative for Cybersecurity Education (NICE) Workforce Framework, examining two key Work Roles in cybersecurity education. Employing a novel posthuman coding scheme, the associated Tasks, Knowledge, and Skills (TKS) statements were analyzed. Findings reveal significant posthuman elements within…
Descriptors: Computer Security, Computer Science Education, Job Skills, Ability
Mehdi Darban – Education and Information Technologies, 2024
This study advances the understanding of Artificial Intelligence (AI)'s role, particularly that of conversational agents like ChatGPT, in augmenting team-based knowledge acquisition in virtual learning settings. Drawing on human-AI teams and anthropomorphism theories and addressing the gap in the literature on human-AI collaboration within virtual…
Descriptors: Artificial Intelligence, Influence of Technology, Group Instruction, Electronic Learning
Yilong Su; Meina Luo; Chenyin Zhong – SAGE Open, 2025
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers' perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English…
Descriptors: Preservice Teachers, Language Teachers, Student Attitudes, Preservice Teacher Education
Stojanov, Ana – International Journal of Educational Technology in Higher Education, 2023
ChatGPT, an artificial intelligence language model introduced in November 2022, is potentially applicable in many contexts, including higher education. Although academics are already using it to draft papers or develop search queries for systematic reviews, its use as a tool aiding the learning process has not been examined. To address this…
Descriptors: Technology Uses in Education, Artificial Intelligence, Autobiographies, Ethnography
Andrew Kelly; Miriam Sullivan; Katrina Strampel – Journal of University Teaching and Learning Practice, 2023
The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale…
Descriptors: Artificial Intelligence, Student Attitudes, Foreign Countries, Technology Uses in Education
Erika Lundquist; Brit Henderson; Sophia Sutcliffe; Laura Cojocaru; Kasey Eickmeyer; Annabel Utz; Sufiyan Syed; Audrey Yu – MDRC, 2025
Since 2019, high school seniors from low-income households in the state of Washington have received guidance from OtterBot, an interactive chatbot texting tool with artificial intelligence (AI) capabilities. The chatbot, designed by the Washington Student Achievement Council (WSAC), provides information to simplify the complex processes involved…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Financial Aid Applicants
Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses
Borge, Marcela; Toprani, Dhvani; Yan, Shulong; Xia, Yu – Computer Science Education, 2020
Background and Context: in this paper, we argue that integrating Human-Computer Interaction (HCI) into K-12 computing education can present learners with opportunities to develop human-centered design skills as well as higher-order thinking skills. Objective: to address the issues related to the development of HCI forms of expertise, we introduce…
Descriptors: Elementary Secondary Education, Design, Skill Development, Thinking Skills
Gakhal, Inderdip; Bull, Susan – ALT-J: Research in Learning Technology, 2008
This paper investigates the potential for simple open learner models for highly motivated, independent learners, using the example of trainee pilots. In particular we consider whether such users access their learner model to help them identify their current knowledge level, areas of difficulty and specific misconceptions, to help them plan their…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Models, Misconceptions
Manaris, Bill; Wainer, Michael; Kirkpatrick, Arthur E.; Stalvey, RoxAnn H.; Shannon, Christine; Leventhal, Laura; Barnes, Julie; Wright, John; Schafer, J. Ben; Sanders, Dean – Computer Science Education, 2007
In today's technology-laden society human-computer interaction (HCI) is an important knowledge area for computer scientists and software engineers. This paper surveys existing approaches to incorporate HCI into computer science (CS) and such related issues as the perceived gap between the interests of the HCI community and the needs of CS…
Descriptors: Man Machine Systems, Computer Science Education, Perspective Taking, Computer Software
Carroll, John M., Ed.; Olson, Judith Reitman, Ed. – 1987
This report incorporates a literature review, a workshop paper, and discussion by workshop participants on the current status of research on what the users of computer systems know, and how these different forms of knowledge fit together in learning and performance. It is noted that such research is important to the problem of designing systems…
Descriptors: Cognitive Processes, Computer Software, Computer System Design, Human Factors Engineering
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Peer reviewedNeerincx, Mark A.; de Greef, H. Paul – Human-Computer Interaction, 1998
This study of 40 undergraduates examined whether aiding as cognitive support (i.e., offering computer users knowledge they are missing) can supplement lack of knowledge and capacity under tasks with high mental loading, such as dealing with irregularities in process control. Users of a railway traffic control simulator dealt better and faster with…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Computer Interfaces, Computer Simulation
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