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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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Gyeong-Geon Lee; Xiaoming Zhai – IEEE Transactions on Learning Technologies, 2024
While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in the classroom. This study aims to fill this gap by analyzing the lesson plans developed by 29 pre-service elementary teachers and assessing how they integrated ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Science Education, Preservice Teachers
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Rena Alasgarova; Jeyhun Rzayev – International Journal of Technology in Education and Science, 2024
This study explores the integration of Artificial Intelligence (AI) in high school education, focusing on its implications for student motivation and learning through the framework of Self-Determination Theory. As AI technologies like ChatGPT4 become more prevalent in educational settings, their potential to enhance learning by catering to…
Descriptors: High School Students, Artificial Intelligence, Student Motivation, Personal Autonomy
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Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
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Kamal Upreti; Virendra Singh Kushwah; Prashant Vats; Md. Shane Alam; Rahul Singhai; Dhyanendra Jain; Akhilesh Tiwari – European Journal of Education, 2024
Students must receive the knowledge and skills they require for succeeding in a constantly changing world. Meeting each student's diverse needs, nevertheless, is difficult. For the purpose to promote student development and improve educational outcomes, this review study attempts to give a thorough conceptual framework for integrating both…
Descriptors: Learning Strategies, Cognitive Processes, Outcomes of Education, Student Development
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Safaa M. Abdelhalim – Journal of Computer Assisted Learning, 2024
Background: Introducing new technologies in education sparks debates, disrupting traditional practices, and requiring teacher adaptation. ChatGPT is an example. Research explores its benefits and concerns in education, with recommendations for classroom use. Nevertheless, limited evidence supports ChatGPT as a tool for supporting English as a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Learning
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Kangkang Li; Qian Yang; Xianmin Yang – IEEE Transactions on Learning Technologies, 2024
The student-generated question (SGQ) strategy is an effective instructional strategy for developing students' higher order cognitive and critical thinking. However, assessing the quality of SGQs is time consuming and domain experts intensive. Previous automatic evaluation work focused on surface-level features of questions. To overcome this…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Assisted Testing, Automation
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