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Seyed Parsa Neshaei; Paola Mejia-Domenzain; Richard Lee Davis; Tanja Käser – British Journal of Educational Technology, 2025
Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational technologies literature have explored the paradigms of learning from worked and modelling…
Descriptors: Artificial Intelligence, Technology Uses in Education, Reflection, Writing (Composition)
Yu Xiong; Shengyi Chen; Ting Cai; Lulu Chen; Jun Li – International Educational Data Mining Society, 2025
Teacher gesture recognition aims to identify and interpret teacher gestures within academic settings. It has been applied in domains such as teaching performance evaluation, the optimization of online education, and special needs education. However, the background similarity of teacher gestures, the inter-class similarity, and the intra-class…
Descriptors: Artificial Intelligence, Natural Language Processing, Nonverbal Communication, Classroom Communication
Michel C. Desmarais; Arman Bakhtiari; Ovide Bertrand Kuichua Kandem; Samira Chiny Folefack Temfack; Chahé Nerguizian – International Educational Data Mining Society, 2025
We propose a novel method for automated short answer grading (ASAG) designed for practical use in real-world settings. The method combines LLM embedding similarity with a nonlinear regression function, enabling accurate prediction from a small number of expert-graded responses. In this use case, a grader manually assesses a few responses, while…
Descriptors: Grading, Automation, Artificial Intelligence, Natural Language Processing
Abdulrahman M. Al-Zahrani – SAGE Open, 2025
This study examines the impact of Artificial Intelligence (AI) chatbots on the loss of human connection and emotional support among higher education students. To do so, a quantitative research design is employed. An online survey questionnaire is distributed to a sample of 819 higher education students, assessing concerns about human connection,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
John Paul P. Miranda; Jaymark A. Yambao – Journal of Education and Learning (EduLearn), 2025
This study explores the novice programmers' intention to use chat generative pretrained transformer (ChatGPT) for programming tasks with emphasis on performance expectancy (PE), risk-reward appraisal (RRA), and decision-making (DM). Utilizing partial least squares structural equation modeling (PLS-SEM) and a sample of 413 novice programmers, the…
Descriptors: Novices, Employees, Programming, Artificial Intelligence
Kristin Morgan – Texas Journal of Literacy Education, 2025
Effective phonemic awareness instruction is essential for early literacy development, yet teachers often seek additional support in designing structured, engaging, and standards-aligned lesson plans. Generative AI (GenAI), such as ChatGPT Plus, is a promising tool for assisting educators with lesson creation. This study explores the effectiveness…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Phonemic Awareness
Zifeng Liu; Wanli Xing; Chenglu Li; Fan Zhang; Hai Li; Victor Minces – Journal of Learning Analytics, 2025
Creativity is a vital skill in science, technology, engineering, and mathematics (STEM)-related education, fostering innovation and problem-solving. Traditionally, creativity assessments relied on human evaluations, such as the consensual assessment technique (CAT), which are resource-intensive, time-consuming, and often subjective. Recent…
Descriptors: Creativity, Elementary School Students, Artificial Intelligence, Man Machine Systems
Julian F. Lohmann; Fynn Junge; Jens Möller; Johanna Fleckenstein; Ruth Trüb; Stefan Keller; Thorben Jansen; Andrea Horbach – International Journal of Artificial Intelligence in Education, 2025
Recent investigations in automated essay scoring research imply that hybrid models, which combine feature engineering and the powerful tools of deep neural networks (DNNs), reach state-of-the-art performance. However, most of these findings are from holistic scoring tasks. In the present study, we use a total of four prompts from two different…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Writing Evaluation
Owen Henkel; Libby Hills; Bill Roberts; Joshua McGrane – International Journal of Artificial Intelligence in Education, 2025
Formative assessment plays a critical role in improving learning outcomes by providing feedback on student mastery. Open-ended questions, which require students to produce multi-word, nontrivial responses, are a popular tool for formative assessment as they provide more specific insights into what students do and do not know. However, grading…
Descriptors: Artificial Intelligence, Grading, Reading Comprehension, Natural Language Processing
Manop Nammanee; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
The accelerating adoption of AI in education highlights the need for an assistant that is explicitly grounded in competency-based learning to develop learners' digital competencies. This study proposes the AI Assistant Framework on Competency-Based Learning for Digital Competency Development (AICoLED) and evaluates its appropriateness through…
Descriptors: Artificial Intelligence, Competency Based Education, Technology Uses in Education, Technological Literacy
Zeger-jan Kock; Ulises Salinas-Hernández; Birgit Pepin – Digital Experiences in Mathematics Education, 2025
ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud's notion of "use schemes," we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in…
Descriptors: Engineering Education, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Helen Crompton; Diane Burke – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA…
Descriptors: Artificial Intelligence, Barriers, Technology Uses in Education, Natural Language Processing
Gloria Gagliardi – International Journal of Language & Communication Disorders, 2024
Background: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowing for a low-cost pathology detection, classification and monitoring. Numerous research papers have…
Descriptors: Natural Language Processing, Language Research, Pathology, Aging (Individuals)
Samah AlKhuzaey; Floriana Grasso; Terry R. Payne; Valentina Tamma – International Journal of Artificial Intelligence in Education, 2024
Designing and constructing pedagogical tests that contain items (i.e. questions) which measure various types of skills for different levels of students equitably is a challenging task. Teachers and item writers alike need to ensure that the quality of assessment materials is consistent, if student evaluations are to be objective and effective.…
Descriptors: Test Items, Test Construction, Difficulty Level, Prediction
Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software

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