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Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martinez-Maldonado; Guanliang Chen; Xinyu Li; Yueqiao Jin; Dragan Gaševic – British Journal of Educational Technology, 2024
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…
Descriptors: Educational Technology, Artificial Intelligence, Natural Language Processing, Educational Innovation
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Sennott, Samuel C.; Akagi, Linda; Lee, Mary; Rhodes, Anthony – Topics in Language Disorders, 2019
Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)? "Artificial intelligence" (AI) can be defined as the capability of…
Descriptors: Augmentative and Alternative Communication, Artificial Intelligence, Knowledge Representation, Thinking Skills
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Ifenthaler, Dirk – Journal of Educational Psychology, 2014
A considerable amount of research has been undertaken to provide insights into the valid assessment of team performance. However, in many settings, manual and therefore labor-intensive assessment instruments for team performance have limitations. Therefore, automated assessment instruments enable more flexible and detailed insights into the…
Descriptors: Teamwork, Performance, Visualization, Knowledge Representation
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Alqahtani, Maha; Mohammad, Heba – Turkish Online Journal of Educational Technology - TOJET, 2015
Mobile applications are rapidly growing in importance and can be used for various purposes. They had been used widely in education. One of the educational purposes for which mobile applications can be used is learning the right way to read and pronounce the verses of the Holy Quran. There are many applications that translate the Quran into several…
Descriptors: Electronic Learning, Handheld Devices, Participant Satisfaction, Student Attitudes
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Papasalouros, Andreas; Kotis, Konstantinos; Kanaris, Konstantinos – Interactive Learning Environments, 2011
The aim of this article is to present an approach for generating tests in an automatic way. Although other methods have been already reported in the literature, the proposed approach is based on ontologies, representing both domain and multimedia knowledge. The article also reports on a prototype implementation of this approach, which…
Descriptors: Semantics, Natural Language Processing, Test Construction, Educational Technology
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Reategui, E.; Boff, E.; Campbell, J. A. – Computers & Education, 2008
Traditional hypermedia applications present the same content and provide identical navigational support to all users. Adaptive Hypermedia Systems (AHS) make it possible to construct personalized presentations to each user, according to preferences and needs identified. We present in this paper an alternative approach to educational AHS where a…
Descriptors: Knowledge Representation, Hypermedia, Interaction, Profiles
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Grigoriadou, Maria; Tsaganou, Grammatiki; Cavoura, Theodora – Educational Technology & Society, 2005
The Reflective Tutorial Dialogue System (ReTuDiS) is a system for learner modelling historical text comprehension through reflective dialogue. The system infers learners' cognitive profiles and constructs their learner models. Based on the learner model the system plans the appropriate--personalized for learners--reflective tutorial dialogue in…
Descriptors: Individualized Instruction, Cognitive Style, Communication Strategies, Discourse Analysis
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Pon-Barry, Heather; Clark, Brady; Schultz, Karl; Bratt, Elizabeth Owen; Peters, Stanley; Haley, David – Educational Technology & Society, 2005
In this paper we describe the ways that SCoT, a Spoken Conversational Tutor, uses flexible and adaptive planning as well as multimodal task modeling to support the contextualization of learning in reflective dialogues. Past research on human tutoring has shown reflective discussions (discussions occurring after problem-solving) to be effective in…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Knowledge Representation, Educational Technology