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Bauer, Elisabeth; Greisel, Martin; Kuznetsov, Ilia; Berndt, Markus; Kollar, Ingo; Dresel, Markus; Fischer, Martin R.; Fischer, Frank – British Journal of Educational Technology, 2023
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a…
Descriptors: Peer Relationship, Feedback (Response), Artificial Intelligence, Natural Language Processing
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Jin Mao; Baiyun Chen; Juhong Christie Liu – TechTrends: Linking Research and Practice to Improve Learning, 2024
The abrupt emergence and rapid advancement of generative artificial intelligence (AI) technologies, transitioning from research labs to potentially all aspects of social life, has brought a profound impact on education, science, arts, journalism, and every facet of human life and communication. The purpose of this paper is to recapitulate the use…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Electronic Learning
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Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
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Laeeq, Kashif; Memon, Zulfiqar Ali – Interactive Learning Environments, 2021
The existing Learning Management Systems (LMSs) are profoundly effective in empowering the organization of e-learning, however, lacking in usability and learnability. The complex navigation and an immature search system are catalysing the issues that needs vigorous improvement. This paper aims to enhance the usability of LMSs by introducing an…
Descriptors: Integrated Learning Systems, Artificial Intelligence, Natural Language Processing, Information Retrieval
Pavlik, Philip I., Jr.; Olney, Andrew M.; Banker, Amanda; Eglington, Luke; Yarbro, Jeffrey – Grantee Submission, 2020
An intelligent textbook may be considered to be an interaction layer that lies between the text and the student, helping the student to master the content in the text. The Mobile Fact and Concept Training System (MoFaCTS) is an adaptive instructional system for simple content that has been developed into an interaction layer to mediate textbook…
Descriptors: Textbooks, Intelligent Tutoring Systems, Electronic Learning, Instructional Design
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Pattanshetti, Mahantesh K.; Jasola, Sanjay; Gupta, Vivek; Rajput, Akshay – Knowledge Management & E-Learning, 2018
Learning has transcended into a life-long endeavor in the information age. It is no longer restricted to confines of formal classrooms. Consequently, a student is not restricted to traditional learning resources like teachers, textbooks or printed content. Digital resources available on the Internet form a very significant component of…
Descriptors: Electronic Learning, Open Educational Resources, Hypermedia, Computer Assisted Instruction
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Cotos, Elena; Pendar, Nick – CALICO Journal, 2016
This paper reports on the development of an analysis engine for the Research Writing Tutor (RWT), an AWE program designed to provide genre and discipline-specific feedback on the functional units of research article discourse. Unlike traditional NLP-based applications that categorize complete documents, the analyzer categorizes every sentence in…
Descriptors: Discourse Analysis, Classification, Rhetoric, Writing Evaluation
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Harbusch, Karin; Cameran, Christel-Joy; Härtel, Johannes – Research-publishing.net, 2014
We present a new feedback strategy implemented in a natural language generation-based e-learning system for German as a second language (L2). Although the system recognizes a large proportion of the grammar errors in learner-produced written sentences, its automatically generated feedback only addresses errors against rules that are relevant at…
Descriptors: German, Second Language Learning, Second Language Instruction, Feedback (Response)
Mason, Jon – International Association for Development of the Information Society, 2012
"Asking why" is an important foundation of inquiry and fundamental to the development of reasoning skills and learning. Despite this, and despite the relentless and often disruptive nature of innovations in information and communications technology (ICT), sophisticated tools that directly support this basic act of learning appear to be…
Descriptors: Foreign Countries, Questioning Techniques, Inquiry, College Students
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Wood, Peter – Computer Assisted Language Learning, 2008
This article discusses the use of the General Architecture for Text Engineering (GATE) as a tool for the development of ICALL and NLP applications. It outlines a paradigm shift in software development, which is mainly influenced by projects such as the Free Software Foundation. It looks at standards that have been proposed to facilitate the…
Descriptors: Computer Software, Natural Language Processing, Technological Advancement, Computer Assisted Instruction
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Alfonseca, Enrique; Carro, Rosa M.; Freire, Manuel; Ortigosa, Alvaro; Perez, Diana; Rodriguez, Pilar – Educational Technology & Society, 2005
Adaptation techniques can be applied not only to the multimedia contents or navigational possibilities of a course, but also to the assessment. In order to facilitate the authoring of adaptive free-text assessment and its integration within adaptive web-based courses, Adaptive Hypermedia techniques and Free-text Computer Assisted Assessment are…
Descriptors: Evaluation Methods, Student Evaluation, Instructional Design, Electronic Learning