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Direct linkRobson 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
Download full textAnselm 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
Alexander F. Tang; Luis Javier Pentón Herrera – Technology in Language Teaching & Learning, 2025
This invited review critically examines the Technological Pedagogical Content Knowledge (TPACK) framework and argues for the integration of Affective Knowledge (AK) as a foundational component in technologically mediated pedagogy. Drawing on recent scholarship in emotional and teacher education, the article identifies a persistent gap in how TPACK…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Emotional Intelligence, Models
Wan-Chong Choi; Chan-Tong Lam; António José Mendes – International Educational Data Mining Society, 2025
Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…
Descriptors: Research Problems, Data Analysis, Research Methodology, Models
Hongwen Guo; Matthew S. Johnson; Luis Saldivia; Michelle Worthington; Kadriye Ercikan – ETS Research Institute, 2025
ETS scientists developed a human-centered AI (HAI) framework that combines data on how students interact with assessments--such as task navigation and time spent--with their performance, providing deeper insights into student performance in large-scale assessments.
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Measurement
Gongbo Luo; Changsong Niu; Lu Lu; Ling Wu; Lin Huang – Education and Information Technologies, 2025
University students are increasingly using generative artificial intelligence (AI) tools in creative tasks. Drawing from the literature on AI-human interaction and team creativity, the present study developed a moderated mediating model regarding the effects of generative AI on team creativity. To validate the developed model, a questionnaire…
Descriptors: Artificial Intelligence, Teamwork, Cooperative Learning, Creativity
Kadir Kesgin – Discover Education, 2025
The increasing demand for privacy-preserving, ethically aligned synthetic data generation in education has highlighted the limitations of existing tabular data generators. Traditional approaches often sacrifice fairness or privacy in pursuit of predictive accuracy, rendering them unsuitable for high-stakes academic settings. In this paper, we…
Descriptors: Synthesis, Data, Data Science, Data Use
Emine Arikan; Siamak Aram – Journal of Creative Behavior, 2025
Artificial intelligence (AI) is transforming the creative arts by generating unique artistic works. This research explores the impact of catastrophic forgetting on AI systems and its implications for artistic creativity. Catastrophic forgetting happens when AI forgets previously learned knowledge due to new learning. This poses a challenge for…
Descriptors: Artificial Intelligence, Creativity, Memory, Art Products
Christopher Adamson – New Directions for Teaching and Learning, 2025
This chapter responds to the recent crisis surrounding developments in large language models (LLMs) and generative AI with a relational view of education informed by the emerging world-centered approach to education and a synthesis of personalist character formation with feminist care ethics. It proposes that the instinct to manage student use of…
Descriptors: Artificial Intelligence, Natural Language Processing, Automation, Feminism
Steven Van Zost – Journal of Teaching and Learning, 2025
Artificial intelligence (AI) transforms the ethical and moral subjectivity of teachers, positioning them to navigate the complex convergence of technological advancement, intellectual autonomy, and teacher identity. The purpose of this paper is to offer a conceptual model for how teachers' identities are constituted through AI prompt engineering.…
Descriptors: Artificial Intelligence, Professional Identity, Teachers, Computer Uses in Education
