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Bai, Xiaoyu; Stede, Manfred – International Journal of Artificial Intelligence in Education, 2023
Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Natural Language Processing, Evaluation
Letty Rising – Montessori Life: A Publication of the American Montessori Society, 2024
In the ever-evolving landscape of education, you have most likely experienced a significant expansion in your teaching responsibilities. Your role may have stretched to encompass being proficient in various technology platforms, nurturing the social and emotional learning of your students, and adjusting to amplified documentation requirements.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Mostafa Nazari; Golsa Saadi – Discover Education, 2024
The escalating integration of artificial intelligence (AI) technologies, particularly the widespread use of ChatGPT in higher education, necessitates a profound exploration of effective communication strategies. This paper addresses the critical role of prompt development as a skill essential for university instructors engaging with ChatGPT. While…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Communication Strategies
Brady L. Nash – Reading Research Quarterly, 2024
Generative artificial intelligence (GAI) programs such as ChatGPT and other large language models are designed to engage in complex, responsive dialogues that feel like human interactions. The dialogic and responsive nature of GAI signals the potential for users to form relationships with GAI platforms or digital personalities created on these…
Descriptors: Intimacy, Interpersonal Relationship, Epistemology, Artificial Intelligence
Skalicky, Stephen; Chen, Victoria – Language Teaching, 2022
The Competition Model has served as a functional explanation of cross-linguistic influence and transfer for more than 30 years. A large number of studies have used the Competition Model to frame investigations of sentence processing strategies in different types of bilingual and multilingual speakers. Among the different bilingual speakers…
Descriptors: Sentences, Language Processing, Cues, English (Second Language)
Sílvia Perpiñán; Michael T. Putnam – Second Language Research, 2024
This special issue revisits a classic topic in linguistic theory, A-bar movement, applied to developing and bilingual grammars. We claim that A-bar movement, or filler-gap dependencies, is still the quintessential linguistic phenomenon to illustrate the interaction between the biological endowment, the experience with language (past and present),…
Descriptors: Bilingualism, Multilingualism, Grammar, Second Language Learning
Kelsey Behringer; Devyn Maguire – New Directions for Community Colleges, 2024
This article dives into the reality of how, since 2023, generative artificial intelligence (AI) has emerged as an inescapable force in education and highlights the work of community college faculty in use of AI in teaching and learning. ChatGPT is an example of a relatively new and rapidly evolving aspect of AI research, the large language model.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Opportunities, College Faculty
Zaki, Nazar; Turaev, Sherzod; Shuaib, Khaled; Krishnan, Anusuya; Mohamed, Elfadil – Education and Information Technologies, 2023
Quality control and assurance plays a fundamental role within higher education contexts. One means by which quality control can be performed is by mapping the course learning outcomes (CLOs) to the program learning outcomes (PLO). This paper describes a system by which this mapping process can be automated and validated. The proposed AI-based…
Descriptors: Program Evaluation, Outcomes of Education, Natural Language Processing, Higher Education
Bovolenta, Giulia; Marsden, Emma – Studies in Second Language Acquisition, 2022
There is currently much interest in the role of prediction in language processing, both in L1 and L2. For language acquisition researchers, this has prompted debate on the role that predictive processing may play in both L1 and L2 language learning, if any. In this conceptual review, we explore the role of prediction and prediction error as a…
Descriptors: Prediction, Error Analysis (Language), Teaching Methods, Second Language Learning
Chang, Tammy; DeJonckheere, Melissa; Vydiswaran, V. G. Vinod; Li, Jiazhao; Buis, Lorraine R.; Guetterman, Timothy C. – Journal of Mixed Methods Research, 2021
Situations of catastrophic social change, such as COVID-19, raise complex, interdisciplinary research questions that intersect health, education, economics, psychology, and social behavior and require mixed methods research. The pandemic has been a quickly evolving phenomenon, which pressures the time necessary to perform mixed methods research.…
Descriptors: Mixed Methods Research, Natural Language Processing, Data, Change
Kate Powell – Montessori Life: A Publication of the American Montessori Society, 2024
In a span of about three days in the spring of 2023, the author's Instagram feed became inundated with mentions of artificial intelligence (AI), including Chat GPT, text-to-image models, and much more. She would turn on the radio and hear about the controversy surrounding AI, or look at her cousin's social media posts about the injustices of her…
Descriptors: Artificial Intelligence, Teaching Methods, Elementary School Teachers, Montessori Schools
Elizabeth Roepke – Perspectives of the ASHA Special Interest Groups, 2024
Purpose: Phonological processing skills, or using phoneme knowledge to process language, in preschool- and kindergarten-age children are an important indicator of children's future reading abilities. However, assessing phonological processing skills can be difficult in children with speech sound disorders because scoring often requires that…
Descriptors: Phonological Awareness, Speech Impairments, Preschool Children, Kindergarten
Robin Elizabeth Miller – portal: Libraries and the Academy, 2024
In the year since ChatGPT was released by OpenAI, librarians, instructors, and higher education administrators have grappled with generative artificial intelligence (AI) and its implications for teaching, learning, research, and writing. Drawn from informal conversations, professional observations, discussion groups, and professional development…
Descriptors: Higher Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Weixu Lu – Communication Teacher, 2024
This article explores the application of generative artificial intelligence (AI), such as ChatGPT, in the development of customized textual materials for communication teaching. It underscores the potential of generative AI to address the scarcity of suitable learning materials and enhance teaching effectiveness. A case study of text generation…
Descriptors: Artificial Intelligence, Material Development, Communication (Thought Transfer), Natural Language Processing
Naima Debbar – International Journal of Contemporary Educational Research, 2024
Intelligent systems of essay grading constitute important tools for educational technologies. They can significantly replace the manual scoring efforts and provide instructional feedback as well. These systems typically include two main parts: a feature extractor and an automatic grading model. The latter is generally based on computational and…
Descriptors: Test Scoring Machines, Computer Uses in Education, Artificial Intelligence, Essay Tests