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Zhiqun Ouyang; Yujun Jiang; Huying Liu – International Review of Research in Open and Distributed Learning, 2024
This study, which is quasi-experimental in nature, looks into how language learners' willingness to communicate and engagement in English as a foreign language (EFL) classrooms are affected by Duolingo. The control and experimental groups comprised two complete classes with forty EFL students. To compare learner engagement and communication…
Descriptors: Artificial Intelligence, Information Technology, English (Second Language), Communication Strategies
Fatih Karatas; Erkan Yüce – International Review of Research in Open and Distributed Learning, 2024
The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, and blended learning environments. This qualitative study, grounded in narrative inquiry, investigates the experiences and perceptions of 141 preservice teachers engaged with AI,…
Descriptors: Artificial Intelligence, Futures (of Society), Preservice Teachers, Reflection
Joanne Bennett; Sarah Parsons; Hanna Kovshoff – Journal of Research in Special Educational Needs, 2024
Moderating the intensity and expression of our emotions is necessary for successful engagement in learning. This systematic review explored, "what are schools doing to support autistic children and young people to develop their emotion regulation skills?" Critical analyses considered the inclusiveness of interventions and whether/how…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Preschool Children, Elementary School Students
Viktoriia V. Sydorenko; Inna O. Akhnovska; Sergiy V. Smirnov; Igor A. Verbovskyi; Olha V. Melnychuk – Journal of Education and Learning (EduLearn), 2024
The research is focused on a comprehensive analysis of digitalization as a prerequisite for higher education modernization. The authors of this article consider the digital divide as a component of information inequality, which has a technological nature and presupposes unequal opportunities for access, use, and production of information and…
Descriptors: Educational Improvement, Higher Education, Digital Literacy, Technology Uses in Education
Ekrem Solak – International Journal of Technology in Education, 2024
Artificial Intelligence (AI) has relatively become a part of our lives in many fields including education. As a recent AI tool generated by OpenAI, ChatGPT offers numerous opportunities and challenges for language learners and teachers. Therefore, the purpose of this study was to investigate the experiences of language learners and teachers in the…
Descriptors: Artificial Intelligence, Natural Language Processing, Second Language Learning, Language Teachers
Yunying Yang; Jinwen Luo; Miaoyan Yang; Runde Yang; Jiayin Chen – Studies in Higher Education, 2024
Recent emergence of generative artificial intelligence (GenAI) technology has stimulated interests as well as concerns in their potential in teaching and learning. Situated in the new and transforming context, this study provides an avenue for students to introspectively explore their use of GenAI in a postgraduate course. Seventy-four students…
Descriptors: Personal Autonomy, Artificial Intelligence, Learning Processes, Technology Uses in Education
Kai Guo; Deliang Wang – Education and Information Technologies, 2024
ChatGPT, the newest pre-trained large language model, has recently attracted unprecedented worldwide attention. Its exceptional performance in understanding human language and completing a variety of tasks in a conversational way has led to heated discussions about its implications for and use in education. This exploratory study represents one of…
Descriptors: Feedback (Response), English (Second Language), Artificial Intelligence, Natural Language Processing
Jae Q. J. Liu; Kelvin T. K. Hui; Fadi Al Zoubi; Zing Z. X. Zhou; Dino Samartzis; Curtis C. H. Yu; Jeremy R. Chang; Arnold Y. L. Wong – International Journal for Educational Integrity, 2024
The application of artificial intelligence (AI) in academic writing has raised concerns regarding accuracy, ethics, and scientific rigour. Some AI content detectors may not accurately identify AI-generated texts, especially those that have undergone paraphrasing. Therefore, there is a pressing need for efficacious approaches or guidelines to…
Descriptors: Artificial Intelligence, Investigations, Identification, Human Factors Engineering
Jennifer M. Higgs; Amy Stornaiuolo – Reading Research Quarterly, 2024
The recent unveiling of chatbots such as ChatGPT has catalyzed vigorous debates about generative AI's impact on how learners read, write, and communicate. Largely missing from these debates is careful consideration of how young people are experiencing AI in their everyday lives and how they are making sense of the questions that these rapidly…
Descriptors: High School Students, High School Teachers, English Instruction, Artificial Intelligence
Philip Slobodsky; Mariana Durcheva; Leonid Kugel – International Journal for Technology in Mathematics Education, 2024
This paper highlights the new enhancements of the Halomda platform designed to improve students' learning and exam preparation. The new features include a Graph Plotter, Algebraic Calculator and Context ChatGPT Recommended Key Guidelines. The use of these features is demonstrated though a working example of solving a double integral, illustrating…
Descriptors: Test Preparation, Mathematics Tests, Student Improvement, Graphs
Robyn L. Carlton – ProQuest LLC, 2024
Positive childhood experiences, including nature-based experiences, may counteract the effects of adverse childhood experiences (ACEs). The purpose of this qualitative case study was to explore the impact of one nature-based and experiential learning program on youth exposed to ACEs. Analysis of qualitative data from program participants, their…
Descriptors: Outdoor Education, Experiential Learning, Early Experience, Trauma
Sanjay Krishnapratap Pawar; Swati Amit Vispute – Journal of Marketing for Higher Education, 2024
The proliferation and increasing significance of AI-enabled voice assistants (AIVAs) for consumer purchase decisions imply the need for a better understanding of their acceptance in the higher education (HE) enrollment context. Using the Grounded Theory (GT) research method and a consumer value perspective, we examine the enrolment decision-making…
Descriptors: Foreign Students, Artificial Intelligence, Technology Uses in Education, College Enrollment
Harun Bayer; Fazilet Gül Ince Araci; Gülsah Gürkan – International Journal of Technology in Education and Science, 2024
The rapid advancement of artificial intelligence technologies, their pervasive use in every field, and the growing understanding of the benefits they bring have led actors in the education sector to pursue research in this field. In particular, the use of artificial intelligence tools has become more prevalent in the education sector due to the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Technology Uses in Education
Alireza Mohseni; Ahmad Abedi; Salar Faramarzi; Sareh Karami – Gifted and Talented International, 2024
In this study, Iranian teachers were selected and interviewed using semi-structured interviews. The purpose of conducting interviews was to discover the perceptions of gifted school teachers about strategies for improving wisdom among Iranian students. The participants believed that teachers themselves should be wisdom role models, wisdom role…
Descriptors: Foreign Countries, Teacher Attitudes, Gifted Education, Academically Gifted
Sara Mascheretti; Chiara Luoni; Sandro Franceschini; Elena Capelli; Laura Farinotti; Renato Borgatti; Serena Lecce; Cristiano Termine – Infant and Child Development, 2024
Limited longitudinal studies have explored the development of reading, along with its predictors, in a language characterized by shallow orthography and a simple syllabic structure. In a 5-year longitudinal study, we investigated the development of reading skills in 327 Italian-speaking children (male: n = 180, 55%) from Grade 1 (mean age = 6.16 ±…
Descriptors: Foreign Countries, Reading Skills, Skill Development, Longitudinal Studies

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