NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yongtian Cheng; K. V. Petrides – Educational and Psychological Measurement, 2025
Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…
Descriptors: Psychological Studies, Artificial Intelligence, Cognitive Processes, Predictive Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Helene Ackermann; Anja Henke; Johann Chevalère; Hae Seon Yun; Verena V. Hafner; Niels Pinkwart; Rebecca Lazarides – npj Science of Learning, 2025
Rising interest in artificial intelligence in education reinforces the demand for evidence-based implementation. This study investigates how tutor agents' physical embodiment and anthropomorphism (student-reported sociability, animacy, agency, and disturbance) relate to affective (on-task enjoyment) and cognitive (task performance) learning within…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Animals, Human Body
Peer reviewed Peer reviewed
Direct linkDirect link
Varghese Panthalookaran – Higher Education for the Future, 2025
Unlike other technologies that augment human physical skills and abilities, artificial intelligence (AI) technologies interact with human thinking skills nurtured through various educational processes. Hence, advances in these technologies challenge the education sector to reimagine the suitable intellectual formation of students in the AI age. It…
Descriptors: Taxonomy, Artificial Intelligence, Thinking Skills, Educational Objectives
Peer reviewed Peer reviewed
Direct linkDirect link
Sven Banisch; Hawal Shamon – Sociological Methods & Research, 2025
We combine empirical experimental research on biased argument processing with a computational theory of group deliberation to overcome the micro-macro problem of sociology and to clarify the role of biased processing in debates around energy. We integrate biased processing into the framework of argument communication theory in which agents…
Descriptors: Persuasive Discourse, Energy, Group Dynamics, Opinions
Peer reviewed Peer reviewed
Direct linkDirect link
Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller – Journal of Computer Assisted Learning, 2025
Background: Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper explores the potential of large language models…
Descriptors: Resource Units, Semantics, Automation, Questioning Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Rashmi Khazanchi; Daniele Di Mitri; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…
Descriptors: Mathematics Achievement, Rural Areas, Artificial Intelligence, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Suresh Namboothiri; Thomas Varghese; Mendus Jacob; Sunil Job; Joby Cyriac – Higher Education for the Future, 2025
This research investigates the critical need to integrate affective and psychomotor domains alongside cognitive development in educational systems to achieve the comprehensive 'Exit Outcomes' of Outcome-Based Education (OBE) and align with the National Higher Education Qualification Framework (NHEQF) descriptors. Traditional educational approaches…
Descriptors: Artificial Intelligence, Affective Behavior, Psychomotor Skills, Cognitive Processes