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Showing 1 to 15 of 21 results Save | Export
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Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
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Adelina Asmawi; Md. Saiful Alam – Discover Education, 2025
In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…
Descriptors: Reading Instruction, Teaching Methods, Computer Assisted Instruction, Instructional Effectiveness
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Yan, Da – Education and Information Technologies, 2023
Technology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in applying state-of-the-art technologies to writing classrooms. In November 2022, an AI-powered chatbot named…
Descriptors: Artificial Intelligence, Second Language Learning, Writing Instruction, Practicums
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Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
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Chen-Chen Liu; Gwo-Jen Hwang; Peng Yu; Yun-Fang Tu; Youmei Wang – Educational Technology Research and Development, 2025
Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…
Descriptors: Automation, Error Correction, Feedback (Response), Peer Evaluation
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Karim Ibrahim; Robert Kirkpatrick – International Review of Research in Open and Distributed Learning, 2024
The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
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Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
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Veronika Timpe-Laughlin; Tetyana Sydorenko; Judit Dombi – Computer Assisted Language Learning, 2024
To examine the utility of spoken dialog systems (SDSs) for learning and low-stakes assessment, we administered the same role-play task in two different modalities to a group of 47 tertiary-level learners of English. Each participant completed the task in an SDS setting with a fully automated agent and engaged in the same task with a human…
Descriptors: Second Language Learning, In Person Learning, Standard Spoken Usage, Role Playing
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Meng-Hsun Lee; Eunice Eunhee Jang; Liam Hannah – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
As international students increasingly pursue higher education in English-dominant countries, developing their academic writing skills is crucial. However, limited access to individualized feedback remains a challenge. AI-driven tools and self-assessment offer promising solutions, making feedback more accessible. This study involved 50…
Descriptors: Foreign Countries, Graduate Students, English (Second Language), Foreign Students
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Ferreira, Giselle Martins dos Santos; Lemgruber, Márcio Silveira; Cabrera, Thiago Leite – Journal of Interactive Media in Education, 2023
Although automation is not a novelty, high hopes are currently pinned on more and more ingenious devices built with Artificial Intelligence (AI). AI has become a key discussion point in the agendas of governments and multinational agencies, with particular interest in educational applications. This article explores parallels between ideas…
Descriptors: Artificial Intelligence, Educational Theories, Figurative Language, Persuasive Discourse
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Kappagantula, Sri Rama Kartheek; Adamo-Villani, Nicoletta; Wu, Meng-Lin; Popescu, Voicu – IEEE Transactions on Learning Technologies, 2020
We present a system that automatically generates deictic gestures for animated pedagogical agents (APAs). The system takes audio and text as input, which define what the APA has to say, and generates animated gestures based on a set of rules. The automatically generated gestures point to the exact locations of elements on a whiteboard nearby the…
Descriptors: Animation, Nonverbal Communication, Lecture Method, Video Technology
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Liu, Ming; Rus, Vasile; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…
Descriptors: Chinese, Questioning Techniques, Automation, Natural Language Processing
Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D.; Montalvo, Orlando; Nakama, Adam – Grantee Submission, 2013
We present work toward automatically assessing and estimating science inquiry skills as middle school students engage in inquiry within a physical science microworld. Towards accomplishing this goal, we generated machine-learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in…
Descriptors: Artificial Intelligence, Inquiry, Middle School Students, Physical Sciences
Scandura, Joseph M. – Online Submission, 2010
According to Wikipedia "Automation is a step beyond mechanism." Whereas mechanization provided human operators with machinery to assist them with the muscular requirements of work, automation greatly reduces the need for human sensory and mental requirements as well. In this context, Artificial Intelligence (AI) was founded on the claim that a…
Descriptors: Learning Theories, Mathematics Skills, Automation, Computer Uses in Education
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Thomas, M. S.; Kothari, D. P.; Prakash, A. – IEEE Transactions on Education, 2011
Automation of power systems is gaining momentum across the world, and there is a need to expose graduate and undergraduate students to the latest developments in hardware, software, and related protocols for power automation. This paper presents the design, development, and commissioning of an automation lab to facilitate the understanding of…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Computer Assisted Instruction
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