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Madhu Prabakaran – Higher Education for the Future, 2025
This article explores the diverse epistemic perspectives on intelligence, tracing its conceptual evolution across early Indian philosophy, Western philosophical thought and contemporary computational theories. Intelligence is examined as a dynamic, multifaceted phenomenon that transcends mere cognition, extending into embodied, ecological and…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Philosophy
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
Xiaohu Xie; Tao Wang – Education and Information Technologies, 2024
Technological progress has a significant impact on higher education and increases the popularity of artificial intelligence technologies in universities of different countries. This research was based at Tianshui Normal University in China. The authors examined the impact of an interactive learning environment based on artificial intelligence in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Foreign Countries
Greeni Maheshwari – Education and Information Technologies, 2024
ChatGPT, an extensively recognised language model created by OpenAI, has gained significant prominence across various industries, particularly in education. This study aimed to investigate the factors that influence students' intentions to adopt and utilise ChatGPT for their academic studies. The study used a Structural Equation Model (SEM) for…
Descriptors: Influences, Intention, Artificial Intelligence, Natural Language Processing
Ajay Verma; Manisha Jain – Measurement: Interdisciplinary Research and Perspectives, 2025
Purpose: This research employs machine learning and mediation analysis, along with path analysis, to investigate the correlations between factors such as body mass index (BMI) and the occurrence of diabetes and heart disease among the Indian population. The objective is to enhance models that are specifically designed to accommodate lifestyles,…
Descriptors: Diabetes, Heart Disorders, Risk, Prediction
Lisa Ruth Brunner; Wei William Tao – Journal of International Students, 2024
Artificial intelligence (AI) and automation are newly impacting the governance of international students, a temporary resident category significant for both direct economic contributions and the formation of a "pool" of potential future immigrants in many immigrant-dependent countries. This paper focuses on tensions within Canada's…
Descriptors: Artificial Intelligence, Automation, Migration, Foreign Students
Marian Horváth; Marek Hlásny; Slávka Krásna – Acta Educationis Generalis, 2025
Introduction: The digital era is reshaping not only technology and economy but also the legal systems governing democratic societies. The rapid emergence of artificial intelligence, big data, and digitisation calls for proactive adaptation of legal frameworks. This article explores the intersection of digital transformation and the rule of law,…
Descriptors: Democracy, Laws, Artificial Intelligence, Governance
Bablu Karan; G. R. Angadi – TechTrends: Linking Research and Practice to Improve Learning, 2025
The integration of artificial intelligence (AI) in educational setting is rapidly growing. The huge impact of AI in education draws attention of school stakeholders to start incorporating AI in teaching and learning. AI in school curriculum is increasingly getting significant. The study aimed to understand factors influencing the incorporation of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Secondary School Teachers
Vandana Onker; Krishna Kumar Singh; Hemraj Shobharam Lamkuche; Sunil Kumar; Vijay Shankar Sharma; Chiranji Lal Chowdhary; Vijay Kumar – Education and Information Technologies, 2025
Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…
Descriptors: Foreign Countries, Artificial Intelligence, Academic Achievement, Grades (Scholastic)
Capability Assessment of Cultivating Innovative Talents for Higher Schools Based on Machine Learning
Rongjie Huang; Yusheng Sun; Zhifeng Zhang; Bo Wang; Junxia Ma; Yangyang Chu – International Journal of Information and Communication Technology Education, 2024
The innovation capability largely determines the initiative for future development of a region. Higher school is the main position for training innovative talents. Accurate and comprehensive assessment of innovation cultivation capability is an important basis of higher schools for continuous improvement. Thus, this paper focuses on assessing…
Descriptors: Models, Innovation, Higher Education, Evaluation
Xiang Feng; Keyi Yuan; Xiu Guan; Longhui Qiu – Interactive Learning Environments, 2024
Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…
Descriptors: MOOCs, Psychological Patterns, Artificial Intelligence, Prediction
Kalervo N. Gulson; Sam Sellar – Journal of Education Policy, 2024
The growing use of artificial intelligence in education extends and intensifies technologies of governing, including datafication, performativity and accountability. In this article, we outline how the use of AI and data science has the disruptive potential to create new norms in education policy and governance. We report on an ethnographic…
Descriptors: Artificial Intelligence, Educational Policy, Governance, Evidence
Ying Liu; Sastra Laoakka – International Journal of Education and Literacy Studies, 2025
Sichuan embroidery, as one of China's traditional intangible cultural heritages, is renowned worldwide for its exquisite craftsmanship, profound cultural connotations, and unique artistic value. However, in the face of the impacts of modernization and globalization, the inheritance and development of Sichuan embroidery are facing numerous…
Descriptors: Handicrafts, Cultural Activities, Cultural Maintenance, Preservation
Anastasia Gouseti; Fiona James; Lee Fallin; Kevin Burden – Technology, Pedagogy and Education, 2025
Artificial Intelligence (AI) tools are becoming integrated into the domains of teaching, learning, assessment and administration of educational institutions. While these advances are seen to provide opportunities, new concerns have arisen about the ethics of AI use. This has precipitated the publication of various AI ethics guidelines, however,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Ethics
Thiti Jantakun; Kitsadaporn Jantakun; Thada Jantakoon – Higher Education Studies, 2025
This study conducts a bibliometric analysis of artificial intelligence (AI) in STEM education research from 2020 to 2024. The study uses citation analysis to examine publication trends, country contributions, top authors, cited journals, and influential articles in this field. Data was collected from the Dimensions database using the keywords…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Trend Analysis