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Peer reviewed
Download full textFabricio Trujillo; Marcelo Pozo; Gabriela Suntaxi – Journal of Technology and Science Education, 2025
This paper presents a systematic literature review of using Machine Learning (ML) techniques in higher education career recommendation. Despite the growing interest in leveraging Artificial Intelligence (AI) for personalized academic guidance, no previous reviews have synthesized the diverse methodologies in this field. Following the Kitchenham…
Descriptors: Artificial Intelligence, Higher Education, Career Guidance, Models
Direct linkMartin Sigot; Sebastian Tassoti – Journal of Chemical Education, 2025
With the emergence of generative artificial intelligence (GenAI) and ChatGPT, individualization of learning pathways was discussed in the educational context. One way to achieve customization is the use of specialized versions of ChatGPT--so-called GPTs. Those GPTs are publicly available and used daily by thousands of people worldwide. In this…
Descriptors: Artificial Intelligence, Chemistry, Computer Uses in Education, Science Education
Bernard J. Koch; Tim Sainburg; Pablo Geraldo Bastías; Song Jiang; Yizhou Sun; Jacob G. Foster – Sociological Methods & Research, 2025
This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction to building and optimizing custom deep learning models and shows how to adapt them to estimate/predict heterogeneous treatment effects. It also discusses ongoing work to…
Descriptors: Artificial Intelligence, Statistical Inference, Causal Models, Social Science Research
Fengjuan Wang; Azilawati Jamaludin; Aik Lim Tan – Learning: Research and Practice, 2025
The neurocognitive mechanisms underlying prevalent learning disorders, such as dyslexia, dyscalculia, and their comorbidity, remain unclear and are the subject of ongoing debate. The core-deficit hypothesis has long been the dominant theory explaining these mechanisms across various learning disorders. However, this hypothesis faces criticism for…
Descriptors: Dyslexia, Learning Disabilities, Artificial Intelligence, Computer Simulation
Nadi Suprapto; Nurhasan; Roy Martin Simamora; Ali Mursid; M. Arif Al Ardha – Journal of Academic Ethics, 2025
This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to…
Descriptors: Cheating, Plagiarism, Artificial Intelligence, Integrity
Karen Paullet; Jamie Pinchot; Evan Kinney; Tyler Stewart – Information Systems Education Journal, 2025
Generative AI tools such as ChatGPT are now in widespread use and are often utilized by students to help in creating writing assignments intended to be written entirely by the student. This has spurred the need for AI detection tools such as GPTZero. This study sought to determine the accuracy of GPTZero's AI detection in identifying whether…
Descriptors: Artificial Intelligence, Writing Assignments, Deception, Program Effectiveness
Segun O. Olatinwo; Carrie Demmans Epp – International Journal of Artificial Intelligence in Education, 2025
Online question answering sites, such as Stack Overflow (SO), have become an important learning and support platform for computer-science learners and practitioners who are seeking help. Learners on SO are currently faced with the problem of unanswered questions, inhibiting their lifelong-learning efforts and contributing to delays in their…
Descriptors: Computer Science, Computer Software, Metadata, Artificial Intelligence
Tianjiao Zhao; Jiayi Jia; Tianfei Zhu; Junyu Yang – International Journal of Technology and Design Education, 2024
Designers are always pursuing design with suitable emotions. Effective emotional fusion not only produces a good user experience but also extends the product lifecycle. The decoding of design emotion and the use of design emotion language should run through the entire design process. In this study, we propose a new emotion-embedded design flow…
Descriptors: Psychological Patterns, Design, Artificial Intelligence, Databases
Robson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
Anselm Böhmer; Illie Isso; Ilayda Özcan; Dilara Orhan – International Research and Review, 2025
Given the pervasive influence of generative artificial intelligence (GenAI) platforms, educators are increasingly confronted with novel challenges, particularly in the context of Globally Networked Learning (GNL) and navigating its concomitant cultural perspectives. Consequently, a salient question confronting international higher education is how…
Descriptors: Artificial Intelligence, Global Approach, Networks, Educational Environment
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2025
Research has paid less attention to the formalization of education from a systems theory and control perspective, rather than a mere algorithmic one. In this work, the underpinnings of system theory and control are provided, along with a review of their application in education. The review of studies in databases found only seven articles that…
Descriptors: Educational Research, Educational Practices, Systems Approach, Research Problems
Cansu Cigdem Ekin; Ömer Faruk Cantekin; Elif Polat; Sinan Hopcan – Education and Information Technologies, 2025
Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Trends, Educational Research
Hannah Waight; Solomon Messing; Anton Shirikov; Margaret E. Roberts; Jonathan Nagler; Jason Greenfield; Megan A. Brown; Kevin Aslett; Joshua A. Tucker – Sociological Methods & Research, 2025
How can one understand the spread of ideas across text data? This is a key measurement problem in sociological inquiry, from the study of how interest groups shape media discourse, to the spread of policy across institutions, to the diffusion of organizational structures and institution themselves. To study how ideas and narratives diffuse across…
Descriptors: Artificial Intelligence, Information Processing, Information Dissemination, News Media
Daniele Mezzadri – Journal of Academic Ethics, 2025
Using AI as a research assistant promises to provide significant benefits to researchers in terms of time-saving, efficiency, and reduced workload. However, as is well known, AI generated content and outputs are unreliable. Hence human supervision and oversight of the outputs of AI are necessary to perform AI-assisted research ethically. This…
Descriptors: Ethics, Artificial Intelligence, Research Methodology, Supervision
