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John Jairo Jaramillo; Andrés Chiappe – Prospects, 2024
This article describes a systematic literature review focused on identifying substantial drawbacks in the current curricula and on the challenges to developing AI-driven curricula. One hundred thirty articles were read in depth and qualitatively analyzed. The results suggest that educational stakeholders should integrate AI into the curriculum…
Descriptors: Trend Analysis, Interdisciplinary Approach, Problem Solving, Futures (of Society)
Fatima Rahioui; Mohammed Ali Tahri Jouti; Mohammed El Ghzaoui – Journal of Educators Online, 2024
Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging,…
Descriptors: Artificial Intelligence, Biological Sciences, Scientific Concepts, Technology Integration
Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
Andrew Swindell; Luke Greeley; Antony Farag; Bailey Verdone – Online Learning, 2024
The arrival of generative artificial intelligence (AI) is fundamentally different from prior technologies used in educational settings. Educators and researchers of online, blended, and in-person learning are still coming to grips with how to employ current AI technologies in the learning experience, let alone understanding the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Guidelines
Abbas Hadizadeh – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2024
Since the advent of computer-mediated communication (CMC) technologies, the landscape of education, especially in English Language Teaching and learning, has undergone significant transformations. Academic writing, a key skill in this context, has witnessed notable benefits from technological advancements, particularly in the contemporary era. One…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, English (Second Language)
Jamie Magrill; Barry Magrill – Teaching & Learning Inquiry, 2024
The rapid advancement of artificial intelligence technologies, exemplified by systems including Open AI's ChatGPT, Microsoft's Bing AI, and Google's Bard (now Gemini 1.5Pro), present both challenges and opportunities for the academic world. Higher education institutions are at the forefront of preparing students for this evolving landscape. This…
Descriptors: Higher Education, Artificial Intelligence, Technological Advancement, Technology Integration
Soo Hyoung Joo – Studies in Applied Linguistics & TESOL, 2024
The advent of generative AI (GenAI) technology has impacted second language (L2) learning and assessment, offering new opportunities for learners to practice and improve their skills. One approach gaining interest is employing GenAI tools as writing or speaking partners to provide personalized, real-time feedback and assistance to learners. These…
Descriptors: Artificial Intelligence, Second Language Learning, Technology Uses in Education, Man Machine Systems
Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Melanie Forstall Lemoine – Research Issues in Contemporary Education, 2024
Overall teacher effectiveness is connected to the teacher's sense of confidence in their personal ability to be effective. An important part of teacher effectiveness is communication and collaboration with parents, and family members of their students. Research has demonstrated the positive impact strong relationships between families and school…
Descriptors: Preservice Teachers, Self Esteem, Self Efficacy, Parent Teacher Conferences
Preeti Bhaskar; Pankaj Misra; Gaurav Chopra – International Journal of Information and Learning Technology, 2024
Purpose: The discussion about using Chat Generative Pre-Trained Transformer (ChatGPT) by teachers is making notable progress on a daily basis. This research examines the teachers' adoption intention to adopt ChatGPT by focusing on perceived trust and perceived risk. The study seeks to elucidate the impact of these two factors on teachers' adoption…
Descriptors: Trust (Psychology), Risk, Artificial Intelligence, Synchronous Communication
Zhenwen Liang – ProQuest LLC, 2024
Mathematical reasoning, a fundamental aspect of human cognition, poses significant challenges for artificial intelligence (AI) systems. Despite recent advancements in natural language processing (NLP) and large language models (LLMs), AI's ability to replicate human-like reasoning, generalization, and efficiency remains an ongoing research…
Descriptors: Mathematics Skills, Thinking Skills, Abstract Reasoning, Generalizability Theory
Monique Crummie – ProQuest LLC, 2024
The purpose of this quantitative, correlational-predictive study was to assess if and to what extent second-grade student race (operationalized as minority status) and student socioeconomic status (operationalized as eligibility for Free and Reduced Lunch) predict second-grade student classification as gifted under two scenarios: using the current…
Descriptors: Predictor Variables, Classification, Academically Gifted, Minority Group Students
Shuang Quan – ProQuest LLC, 2024
Building upon the foundational Home Literacy Environment (HLE) model, this study developed a contemporary framework that integrates digital literacy practices and the emerging role of Artificial Intelligence (AI) technologies, such as ChatGPT, alongside traditional literacy activities. Utilizing hierarchical linear regressions, findings from 74…
Descriptors: Children, Family Environment, Family Literacy, Literacy Education
Yi Lin; Xiaoqing Ye; Huaiyi Zhang; Fei Xu; Jingyu Zhang; Hongwei Ding; Yang Zhang – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Prior research extensively documented challenges in recognizing verbal and nonverbal emotion among older individuals when compared with younger counterparts. However, the nature of these age-related changes remains unclear. The present study investigated how older and younger adults comprehend four basic emotions (i.e., anger, happiness,…
Descriptors: Foreign Countries, Mandarin Chinese, Emotional Intelligence, Age Differences
Karla K. McGregor; Ron Pomper; Nichole Eden; Margo Appenzeller; Timothy Arbisi-Kelm; Elaina Polese; Deborah K. Reed – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The aim of the study was to determine the ability of children with developmental language disorder (DLD) to infer word class and meaning from text and to document variations by word class (noun, verb, adjective) and modality (listening, reading). We also asked whether the children could integrate global cues across the entire passage as…
Descriptors: Grade 4, Students with Disabilities, Language Impairments, Form Classes (Languages)

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