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James Paul Gee; Qing Archer Zhang – Phi Delta Kappan, 2024
The landscape of writing is evolving in the era of generative AI. James Paul Gee introduces the concept of "cybersapien writing literacy," which emphasizes a synergistic partnership between humans and AI. He outlines four essential types of writing and discusses their potential benefits for personal growth, critical thinking, and…
Descriptors: Writing Skills, Artificial Intelligence, Intelligent Tutoring Systems, Reflection
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Fatma Outay; Nafaa Jabeur; Fahmi Bellalouna; Tasnim Al Hamzi – Smart Learning Environments, 2024
To measure the effectiveness of learning activities, intensive research works have focused on the process of competency building through the identification of learning stages as well as the setup of related key performance indictors to measure the attainment of specific learning objectives. To organize the learning activities as per the background…
Descriptors: Competence, Learning Activities, Individual Characteristics, Computer Simulation
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Maria Y. Rodriguez; Lauri Goldkind; Bryan G. Victor; Barbara Hiltz; Brian E. Perron – Journal of Social Work Education, 2024
The most recent Council on Social Work Education's Educational Policy and Accreditation Standards (EPAS) demands that social workers develop competence in the ethical and professional deployment of technology. Arguably, artificial intelligence has become a critical element in the technological landscape, most recently with the advent of Generative…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Educational Policy, Social Work
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Mashraky Mustary – Bulgarian Comparative Education Society, 2024
Private tutoring has become a pervasive phenomenon in Bangladesh, with significant implications for educational equity and quality. This paper examines the policy landscape surrounding private tutoring and proposes comprehensive strategies to mitigate its adverse effects on the education system. Through a systematic review of existing literature…
Descriptors: Tutoring, Private Education, Foreign Countries, Policy Formation
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Miguel Ángel Escotet – Prospects, 2024
Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…
Descriptors: Futures (of Society), Artificial Intelligence, Technology Uses in Education, Higher Education
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Christina Torres; Elif Saribas – Higher Learning Research Communications, 2024
Objectives: The purpose of the study was to investigate how tutors approached second language (L2) errors when working with advanced graduate students in structured one-on-one feedback sessions. Method: The longitudinal, qualitative case study used data from immediate, retrospective tutor reflections and in-session interactions to follow two…
Descriptors: Second Language Learning, Writing Instruction, Feedback (Response), Advanced Students
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Mark Bray – Prospects, 2024
Recent decades have brought significant worldwide expansion of private supplementary tutoring. Demand is especially driven by social competition, which has intensified in the context of globalization. The main suppliers of tutoring are serving teachers, commercial enterprises, and informal providers such as university students. Private tutoring…
Descriptors: Tutoring, Social Differences, Educational Trends, Trend Analysis
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Fernando Martinez; Gary M. Weiss; Miguel Palma; Haoran Xue; Alexander Borelli; Yijun Zhao – International Educational Data Mining Society, 2024
Large Language Models (LLMs) have prompted widespread application across diverse domains. In some applications, human-like quality in output is essential for optimal user experience and credibility. This is particularly evident in applications such as Chatbots. Conversely, concerns arise regarding LLM use in contexts where human authenticity is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Natural Language Processing
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Owen Henkel; Zach Levoninan; Millie-Ellen Postle; Chenglu Li – International Educational Data Mining Society, 2024
For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process--including interactive QA to support conceptual discussion of mathematical…
Descriptors: Middle School Mathematics, Questioning Techniques, Algebra, Geometry
Editorial Projects in Education, 2025
The pandemic has exacerbated existing learning gaps and created new challenges for students. This Spotlight explores effective strategies to address these gaps, accelerate learning, and support students' overall well-being. From identifying which students have been disproportionately affected to implementing in-school tutoring, these articles…
Descriptors: Achievement Gap, Disproportionate Representation, Tutoring, Phonics
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Xieling Chen; Haoran Xie; S. Joe Qin; Fu Lee Wang; Yinan Hou – European Journal of Education, 2025
Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…
Descriptors: Artificial Intelligence, Learner Engagement, Technology Uses in Education, Electronic Learning
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Pui Yi Mok; Hsueh-Hua Chuang; Ming-Min Cheng; Thomas J. Smith – Journal of Creative Behavior, 2025
Considering the pivotal role of creativity across various eras and the rapid integration of Artificial Intelligence (AI) in both creative processes and education, this study introduces and provides validity evidence for the AI-assisted Creativity Questionnaire (AICQ). This new 16-item instrument aims to quantify human creative potential in…
Descriptors: Artificial Intelligence, Creativity, Technology Integration, Intelligent Tutoring Systems
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Davut Nhem; M. Nutsa Kobakhidze – Asia Pacific Journal of Education, 2025
The New Generation School (NGS) initiative, launched by the government of Cambodia in 2015, aims to improve the quality of education including raising teaching standards; improving student performance; innovating curriculum; and introducing accountability measures. Similar to charter schools in the USA, the NGSs operate as autonomous schools and…
Descriptors: Foreign Countries, Educational Change, Educational Improvement, Educational Quality
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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
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Rita Ramirez-Levine; Donna Rennar-Potacco; Venkat Sharma; Peter Zhiqiang Chen – Mentoring & Tutoring: Partnership in Learning, 2025
This 4-year longitudinal study identified the impact of a multifaceted mentoring and tutoring program on the retention and graduation rates of a diverse body of undergraduate college students enrolled in high-risk science courses. Findings revealed that the program was successful in increasing the retention and graduation rates of students who…
Descriptors: Academic Persistence, STEM Education, Mentors, Tutoring
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