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Yasemin Copur-Gencturk; Jingxian Li; Sebnem Atabas – American Educational Research Journal, 2024
Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…
Descriptors: Artificial Intelligence, Faculty Development, Individualized Instruction, Interaction
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James B. Henderson; Claire M. Norris; Elizabeth Robertson Hornsby – Research Issues in Contemporary Education, 2024
Higher education plays a vital role in developing lifelong core competencies that empower graduates to thrive amidst technological and economic disruptions. This article proposes that higher cognitive skills, emotional intelligence, and digital literacy are key competencies that promote transferable skills applicable across diverse industries and…
Descriptors: Transfer of Training, Higher Education, Student Empowerment, College Graduates
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Odicar Joice Chavez; Thelma Palaoag – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This study investigates user preferences for motivational features aligned with self-determination theory (SDT), emphasizing autonomy, relatedness, and competency. The study seeks to identify the most appealing and effective motivational features in AI-driven mobile apps for fostering autonomy, promoting relatedness, and enhancing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Handheld Devices, Telecommunications
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Mengkorn Pum; Sarin Sok – Asian Journal of Distance Education, 2024
With current state-of-the-art advances in artificial intelligence (AI), especially large language models, such as Google's Gemini, Microsoft's Copilot, and ChatGPT, among others, a plethora of research on this phenomenon has been conducted worldwide aiming to examine its limitations, benefits and ethical implications. Nonetheless, such a…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Software
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Lindelani Mnguni; Prasart Nuangchalerm; R. Ahmad Zaky El Islami; Doras Sibanda; Moleboheng Ramulumo; Indah Juwita Sari – Asia-Pacific Science Education, 2024
The integration of Artificial Intelligence (AI) in biology education offers transformative potential, yet teacher preparedness for AI remains under-researched. This study explores the perceived benefits of AI integration and self-reported Technological Pedagogical Content Knowledge (TPACK) among pre-service biology teachers from a South African…
Descriptors: Artificial Intelligence, Technology Integration, Biology, Science Education
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Jijian Lu; Ruxin Zheng; Zikun Gong; Huifen Xu – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has emerged as a noteworthy milestone and a consequential advancement in the annals of major disciplines within the domains of human science and technology. This study aims to explore the effects of generative AI-assisted preservice teaching skills training on preservice teachers' self-efficacy and higher…
Descriptors: Professional Development, Artificial Intelligence, Thinking Skills, Self Efficacy
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K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
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Carola Strobl; Iryna Menke-Bazhutkina; Niklas Abel; Marije Michel – Technology in Language Teaching & Learning, 2024
Since its release, ChatGPT has raised concerns in many teaching contexts given its threat to reliably evaluating learners' knowledge and skills. Within task-based pedagogy, however, this technology opens new avenues for second language (L2) teaching when adopting the technology as a writing buddy. Our study explores how ChatGPT as a model impacts…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Writing Instruction
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Asmaa Falah Theiyab Alazemi – Language Testing in Asia, 2024
This paper investigates the effects of formative assessment (FA) via artificial intelligence (AI) on EFL students' reading comprehension development, online academic enjoyment, personal best goals (PBGs), and academic mindfulness. To achieve this, 80 Kuwaiti students were selected through convenience sampling and divided into the experimental…
Descriptors: Formative Evaluation, Artificial Intelligence, Reading Comprehension, Electronic Learning
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Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Larry Wayne Evert Jr. – ProQuest LLC, 2024
The purpose of this mixed-method survey-based study addresses the underexplored area of undergraduate student perceptions of artificial intelligences (AI) impact in academia, specifically within the FCSEI in Romania. This research study will provide comprehensive findings on how AI can revolutionize teaching methodologies, learning processes, and…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Student Surveys
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
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Abdulaziz Al-Shammari; Sharefah Al-Enezi – Journal of Social Studies Education Research, 2024
As the use of artificial intelligence (AI) in academic fields increases, it has become necessary to evaluate its effectiveness before integrating it extensively into the training of school teachers. While AI is known to improve pre-service teachers' classroom management skills, its role in improving their learning outcomes is understudied. This…
Descriptors: Artificial Intelligence, Preservice Teachers, Social Studies, Technology Uses in Education
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Ig Ibert Bittencourt; Geiser Chalco; Jário Santos; Sheyla Fernandes; Jesana Silva; Naricla Batista; Claudio Hutz; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2024
The unprecedented global movement of school education to find technological and intelligent solutions to keep the learning ecosystem working was not enough to recover the impacts of COVID-19, not only due to learning-related challenges but also due to the rise of negative emotions, such as frustration, anxiety, boredom, risk of burnout and the…
Descriptors: Artificial Intelligence, COVID-19, Pandemics, Computer Software
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Ai-Chu Elisha Ding – Journal of Research on Technology in Education, 2024
Multilingual learners (MLs) often struggle with science conceptual learning partly due to the abstractness of the concepts and the complexity of scientific texts. This study presents a case of a Virtual Reality (VR) enhanced science learning unit to support middle-school students' science conceptual learning. Using a transformative mixed methods…
Descriptors: Multilingualism, Science Education, Learning Processes, Computer Simulation
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