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Saw Fen Tan – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to explore students' perceptions of the use of an artificial intelligence-generated content avatar (AIGC avatar) within a learning management system (LMS). Design/methodology/approach: This qualitative research involved seven postgraduate students. Data were collected through individual, in-depth interviews. The videos of…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Simulation, Self Concept
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Zachary W. Taylor; Brett McCartt; Tahagod Babekir – Texas Education Review, 2024
Across many language backgrounds, a consistent hurdle to accessing United States higher education is understanding the basic information necessary to apply for admission and financial aid and complete the many enrollment management processes necessary to begin one's college career (apply for housing, receive and submit vaccinations, register for…
Descriptors: Arabic, Native Speakers, Access to Education, Higher Education
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Gürhan Durak; Serkan Çankaya; Damla Özdemir; Seda Can – International Review of Research in Open and Distributed Learning, 2024
This study aimed to present a comprehensive bibliometric analysis of 1,726 academic studies from among those indexed by the Web of Science database platform between 2013 and 2023, to provide a general framework for the concept of artificial intelligence in education (AIEd). Trends in publications and citations across countries, institutions,…
Descriptors: Educational Change, Teaching Methods, Learning Processes, Artificial Intelligence
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Ali Rashed Ibraheam Almohesh – International Review of Research in Open and Distributed Learning, 2024
In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat…
Descriptors: Artificial Intelligence, Natural Language Processing, Foreign Countries, Elementary Schools
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Rudy Loock; Benjamin Holt – Technology in Language Teaching & Learning, 2024
At a time when language trainers need to determine how best to integrate new digital tools that provide students with linguistic information, our aim in this article is to assess the potential value of information provided by two types of tools now widely used by students: machine translation via online translators and state-of-the-art generative…
Descriptors: Artificial Intelligence, Teaching Methods, Translation, Computer Assisted Instruction
C. Daniel Mock – ProQuest LLC, 2024
This quantitative study investigates the influence of teachers' emotional intelligence on student achievement in an American curriculum international school setting in Bangkok, Thailand. Amidst concerns over student proficiency levels in the United States and Thailand, the study aimed to identify whether teachers' emotional intelligence is linked…
Descriptors: Academic Achievement, Scores, Emotional Intelligence, Teacher Characteristics
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Jingjing Long; Jiaxin Lin – Education and Information Technologies, 2024
English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…
Descriptors: Foreign Countries, English Language Learners, College Students, Mental Health
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Fernando Castelló-Sirvent; Vanessa Roger-Monzó; Ricardo Gouveia-Rodrigues – Electronic Journal of e-Learning, 2024
In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The…
Descriptors: Ethics, Higher Education, Artificial Intelligence, Computer Software
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Fateme Jafari; Ahmad Keykha – Journal of Applied Research in Higher Education, 2024
Purpose: This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education. Design/methodology/approach: This qualitative research was developed using the six-step thematic analysis method (Braun and Clark, 2006). Participants in this study were AI PhD students from Tehran University in…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Educational Trends
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Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
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Lingyao Li; Zihui Ma; Lizhou Fan; Sanggyu Lee; Huizi Yu; Libby Hemphill – Education and Information Technologies, 2024
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify critical concerns related to the use of ChatGPT in education. We employed BERT-based topic…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Social Media
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Jennifer Jacobs; Karla Scornavacco; Charis Clevenger; Abhijit Suresh; Tamara Sumner – Educational Technology Research and Development, 2024
Technological tools that provide automated feedback on classroom teaching afford a unique opportunity for educators to engage in self-reflection and work towards improvement goals, in particular to ensure that their instructional environment is equitable and productive for students. More information is needed about how teachers experience…
Descriptors: Automation, Feedback (Response), Teacher Attitudes, Mathematics Teachers
Editorial Projects in Education, 2024
Modernizing classrooms can empower educators and spark engagement to better prepare students for the digital age. This Spotlight will help you leverage technology to meet students' individual needs; learn how one district is using AI to heighten instruction and optimize teachers' time; review the tech skills students need for the digital age;…
Descriptors: Teacher Empowerment, Learner Engagement, Educational Technology, Technology Uses in Education
Artemis Ntrizari – Online Submission, 2024
This study approaches the issue of autism in a case study. Specifically, it investigates how three key points in the daily life of a child on the autism spectrum change in the presence of a pet: social behavior, empathy and irritability. The aim is to study how the pet affects the child's daily life in the above points. The questions that are…
Descriptors: Autism Spectrum Disorders, Children, Animals, Therapy
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Janet Ruppert; Diego Velazquez-Ramos; Ricarose Roque; R. Benjamin Shapiro – Learning, Media and Technology, 2024
Learning around artificial intelligence (AI)-powered technologies that attends to power is an urgent and widely felt priority among the learning sciences and CS ed broadly. Popular approaches to AI education focus on technical skills, with far less theoretical and practical work around critical and justice-centered AI learning. Adding to this…
Descriptors: Artificial Intelligence, Art, Workshops, Aesthetic Education
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