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Olumide Ojo – International Journal of Education and Development using Information and Communication Technology, 2024
This study explores factors influencing Nigerian Higher Education students to adopt ChatGPT in learning. Using the technology acceptance model (TAM), this research aims to identify the key factors influencing the behavioural intentions of Nigerian undergraduate students to adopt ChatGPT in their academic pursuits. This study's theoretical…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Undergraduate Students
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Samah Abdulhadi Abduljawad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This research explores the impact of ChatGPT, an AI tool, on ESL students' writing proficiency at a Saudi Arabian university. Using a mixed-methods approach, data from 130 students showed a significant positive effect on their writing. A focus group interview with six students highlighted opportunities such as personalized feedback, language skill…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
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Imre Bende – Acta Didactica Napocensia, 2024
The continuous development of artificial intelligence-based tools makes their emergence inevitable in education as well as other fields of life. This article presents findings of a mixed method study aimed at investigating the current perceptions and potential applications of AI in Hungarian educational settings. Through interviews with high…
Descriptors: Readiness, Artificial Intelligence, Technology Uses in Education, Foreign Countries
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Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
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Davy Tsz Kit Ng; Jiahong Su; Samuel Kai Wah Chu – Education and Information Technologies, 2024
Artificial intelligence (AI) education has gained popularity, and educators are developing activities to enhance students' AI literacy and promote collaboration in problem-solving. While current approaches using simulations and games can improve students' AI knowledge, they may not adequately prepare them for higher-level cognitive tasks. Only a…
Descriptors: Artificial Intelligence, Technological Literacy, Secondary School Students, Case Studies
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Christopher H. Clark; Cathryn van Kessel – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Due to the introduction and rapid ubiquity of artificial intelligence (AI) and AI-integrated programs that can be used by students and teachers, educational scholarship evaluating the capabilities of AI is needed. This study evaluates the abilities of three prominent AI programs--ChatGPT, Microsoft's Bing, and Google's Bard--to create high school…
Descriptors: Social Studies, High School Teachers, Lesson Plans, Artificial Intelligence
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Hanieh Shafiee Rad – Innovation in Language Learning and Teaching, 2024
The emergence of artificial intelligence (AI) and AI-based applications has become increasingly significant due to its transformative potential in various fields including language learning. These applications have the potential to enhance second language (L2) learners' speaking proficiency, willingness to communicate (WTC), and perception,…
Descriptors: English (Second Language), Second Language Learning, College Students, Required Courses
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Tamanna Parvin Eva; Silvia Akter; Mashruha Zabeen; Shamsul Huq Bin Shahriar – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The purpose of this study is to explore learner-centered emerging technologies, methods of learning with artificial intelligence (AI), student engagement and concerns related to the assessment process at public and private universities in Bangladesh. Design/methodology/approach: The study employed a qualitative research approach to…
Descriptors: Developing Nations, Futures (of Society), Educational Trends, Educational Innovation
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Krista M. Wilkinson; Savanna Brittlebank; Allison Barwise; Tara O'Neill Zimmerman; Janice Light – Augmentative and Alternative Communication, 2024
Eye tracking research technologies are often used to study how individuals attend visually to different types of AAC displays (e.g. visual scene displays, grid displays). The assumption is that efficiency of visual search may relate to efficiency of motor selection necessary for communication via aided AAC; however, this assumption has not…
Descriptors: Augmentative and Alternative Communication, Pattern Recognition, Visual Stimuli, Eye Movements
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Osama Koraishi – Language Teaching Research Quarterly, 2024
This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Artificial Intelligence
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Sri Nurhayati; Safuri Musa – International Society for Technology, Education, and Science, 2024
The central aim of this research was to uncover how educators in Indonesia live out their life's calling, striving to create a widespread positive impact not only for their students but also for the surrounding environment. Adopting a qualitative case study approach, data was collected through in-depth interviews with 20 educators from all over…
Descriptors: Foreign Countries, Teaching Experience, Barriers, Success
Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – Grantee Submission, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
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Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
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Patel, Nilesh Kumar – International Journal of Evaluation and Research in Education, 2018
This study aimed at finding out the effect of Integrated feedback on Classroom climate of secondary school teachers. This research is experimental in nature. Non-equivalent control group design suggested by Stanley and Campbell (1963) was used for the experiment. Integrated feedback was treatment and independent variable, Classroom climate was…
Descriptors: Feedback (Response), Classroom Environment, Secondary School Teachers, Control Groups
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Romeo, Rachel R.; Leonard, Julia A.; Scherer, Ethan; Robinson, Sydney; Takada, Megumi; Mackey, Allyson P.; West, Martin R.; Gabrieli, John D. E. – Journal of Research on Educational Effectiveness, 2021
Childhood socioeconomic status (SES) is associated with persistent academic achievement gaps, which necessitates evidence-based, scalable interventions to improve children's outcomes. The present study reports results from a replication and extension of a family-based training program previously found to improve cognitive development in lower-SES…
Descriptors: Family Programs, Low Income Groups, Preschool Children, Child Development
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