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Showing 1,006 to 1,020 of 1,765 results Save | Export
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Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
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Imdadullah Hidayat-ur-Rehman; Yasser Ibrahim – Interactive Technology and Smart Education, 2024
Purpose: A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
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Haesol Bae; Jaesung Hur; Jaesung Park; Gi Woong Choi; Jewoong Moon – Online Learning, 2024
This study examined pre-service teachers' perspectives on integrating generative AI (GenAI) tools into their own learning and teaching practices. Discussion posts from asynchronous online courses on ChatGPT were analyzed using the Diffusion of Innovations framework to explore awareness, willingness to apply ChatGPT to instruction, and potential…
Descriptors: Preservice Teachers, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
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Deliang Wang; Yaqian Zheng; Gaowei Chen – Educational Technology & Society, 2024
This study investigates the potential of ChatGPT, a cutting-edge large language model in generative artificial intelligence (AI), to support the teaching of dialogic pedagogy to preservice teachers. A workshop was conducted with 29 preservice teachers, wherein ChatGPT and another prominent AI model, Bert, were sequentially integrated to facilitate…
Descriptors: Artificial Intelligence, Preservice Teachers, Models, Teaching Methods
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Mei-Rong Alice Chen – Educational Technology & Society, 2024
The increase in popularity of Generative Artificial Intelligence Chatbots, or GACs, has created a potentially fruitful opportunity to enhance teaching English as a Foreign Language (EFL). This study investigated the possibility of using GACs to give EFL students metalinguistic guidance (MG) in linguistics courses. Language competency gaps, a lack…
Descriptors: Metacognition, Transformative Learning, English (Second Language), Artificial Intelligence
Alexander Johnson – ProQuest LLC, 2024
The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…
Descriptors: Audio Equipment, Black Dialects, African American Students, Equal Education
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Sheri Conklin; Tom Dorgan; Daisyane Barreto – Discover Education, 2024
We investigated the utility of ChatGPT 3.5 in the creation of a fully online asynchronous higher education course. Our collaborative effort with ChatGPT resulted in developing a Master's level course on Trends and Issues in Instructional Design using the Backward Design Model. Throughout this process, we recognized the critical role of precise…
Descriptors: Design, Technology Uses in Education, Artificial Intelligence, Instructional Design
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Jiahong Su; Weipeng Yang – Interactive Learning Environments, 2024
Guided by a sociocultural perspective, this study aims to explore the views of kindergarten teachers on ChatGPT, its potential benefits and challenges in education, and the support and training required for effective implementation. The study involved 10 teachers from several kindergartens in Hong Kong. Face-to-face interviews were conducted. The…
Descriptors: Preschool Teachers, Kindergarten, Teacher Attitudes, Artificial Intelligence
Tamara P. Tate; Young-Suk Grace Kim; Penelope Collins; Mark Warschauer; Carol Booth Olson – Written Communication, 2024
This article provides three major contributions to the literature: we provide granular information on the development of student argumentative writing across secondary school; we replicate the MacArthur et al. model of Natural Language Processing (NLP) writing features that predict quality with a younger group of students; and we are able to…
Descriptors: Gender Differences, Reading Comprehension, Reading Fluency, Essays
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Sanchez-Ferreres, Josep; Delicado, Luis; Andaloussi, Amine Abbab; Burattin, Andrea; Calderon-Ruiz, Guillermo; Weber, Barbara; Carmona, Josep; Padro, Lluis – IEEE Transactions on Learning Technologies, 2020
The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…
Descriptors: Models, Automation, Validity, Natural Language Processing
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Nelson, Laura K. – Sociological Methods & Research, 2020
This article proposes a three-step methodological framework called computational grounded theory, which combines expert human knowledge and hermeneutic skills with the processing power and pattern recognition of computers, producing a more methodologically rigorous but interpretive approach to content analysis. The first, pattern detection step,…
Descriptors: Grounded Theory, Content Analysis, Expertise, Hermeneutics
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Crossley, Scott A.; Karumbaiah, Shamya; Ocumpaugh, Jaclyn; Labrum, Matthew J.; Baker, Ryan S. – Journal of Learning Analytics, 2020
This study builds on prior research by leveraging natural language processing (NLP), click-stream analyses, and survey data to predict students' mathematics success and math identity (namely, self-concept, interest, and value of mathematics). Specifically, we combine NLP tools designed to measure lexical sophistication, text cohesion, and…
Descriptors: Elementary School Mathematics, Blended Learning, Self Concept, Audience Response Systems
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Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary; Liu, Caixia – Educational Technology & Society, 2022
With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…
Descriptors: Artificial Intelligence, Educational Trends, Educational Technology, Bibliometrics
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Vanichvasin, Patchara – International Education Studies, 2022
There are many ways to learn how to be entrepreneurs and one of the powerful ways is to learn from successful entrepreneurs. However, it is difficult to reach and interview those entrepreneurs about their best practices in doing business in real lives. Chatbot technology can come into play in mimicking conversation of successful entrepreneurs and…
Descriptors: Entrepreneurship, Teaching Methods, Graduate Students, Best Practices
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Davies, Patricia Marybelle; Passonneau, Rebecca Jane; Muresan, Smaranda; Gao, Yanjun – IEEE Transactions on Education, 2022
Contribution: Demonstrates how to use experiential learning (EL) to improve argumentative writing. Presents the design and development of a natural language processing (NLP) application for aiding instructors in providing feedback on student essays. Discusses how EL combined with automated support provides an analytical approach to improving…
Descriptors: Experiential Learning, Writing Instruction, Persuasive Discourse, Writing (Composition)
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