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Samantha Mann; Aldert Vrij; Haneen Deeb – Applied Cognitive Psychology, 2024
We examined the efficacy of a Model Statement to detect opinion lies. A total of 93 participants discussed their opinion about the recent strikes on two occasions, 1 week apart. In one interview they told the truth and in the other interview they lied. Each interview consisted of two phases. In Phase 1 they discussed their alleged opinion (truth…
Descriptors: Opinions, Accuracy, Deception, Credibility
Nina Vandermeulen; Elke Van Steendam; Sven De Maeyer; Marije Lesterhuis; Gert Rijlaarsdam – Reading and Writing: An Interdisciplinary Journal, 2024
Writing a synthesis text involves interacting reading and writing processes, serving the comprehension of source information, and its integration into a reader-friendly and accurate synthesis text. Mastering these processes requires insight into process' orchestrations. A way of achieving this is via process feedback in which students compare…
Descriptors: Feedback (Response), Observation, Writing Processes, Models
Doug Lombardi; Gale M. Sinatra; Janelle M. Bailey; Lucas P. Butler – Educational Psychology Review, 2024
Our technological, information-rich society thrives because of scientific thinking. However, a comprehensive theory of the development of scientific thinking remains elusive. Building on previous theoretical and empirical work in conceptual change, the role of credibility and plausibility in evaluating scientific evidence and claims, science…
Descriptors: Science Education, Scientific Literacy, Thinking Skills, Skill Development
Yu Lu; Deliang Wang; Penghe Chen; Zhi Zhang – IEEE Transactions on Learning Technologies, 2024
Amid the rapid evolution of artificial intelligence (AI), the intricate model structures and opaque decision-making processes of AI-based systems have raised the trustworthy issues in education. We, therefore, first propose a novel three-layer knowledge tracing model designed to address trustworthiness for an intelligent tutoring system. Each…
Descriptors: Models, Intelligent Tutoring Systems, Artificial Intelligence, Technology Uses in Education
Nicolas J. Tanchuk; Rebecca M. Taylor – Educational Theory, 2025
AI tutors are promised to expand access to personalized learning, improving student achievement and addressing disparities in resources available to students across socioeconomic contexts. The rapid development and introduction of AI tutors raises fundamental questions of epistemic trust in education. What criteria should guide students' critical…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Tutors
Kathleen Clarke; Holly Gibbs; Allison McDonald; Jeanette Parsons; Marybeth White – International Journal for Academic Development, 2025
In this paper, we propose a model for cultivating trust through academic development programming involving Universal Design for Learning (UDL). A scaffolded design called 5R (Relevance, Reposition, Relationships, Reciprocity, and Reallocate) of academic development is described as it relates to the role of starting conversations and the eventual…
Descriptors: Trust (Psychology), Inclusion, Access to Education, Communities of Practice