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Direct linkGal Raz; Sabrina Piccolo; Janine Medrano; Shari Liu; Kirsten Lydic; Catherine Mei; Victoria Nguyen; Tianmin Shu; Rebecca Saxe – Developmental Psychology, 2024
The study of infant gaze has long been a key tool for understanding the developing mind. However, labor-intensive data collection and processing limit the speed at which this understanding can be advanced. Here, we demonstrate an asynchronous workflow for conducting violation-of-expectation (VoE) experiments, which is fully "hands-off"…
Descriptors: Infants, Eye Movements, Attention, Expectation
Tribikram Budhathoki; Araz Zirar; Eric Tchouamou Njoya; Achyut Timsina – Studies in Higher Education, 2024
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Adoption (Ideas), Anxiety, Computer Attitudes, Artificial Intelligence
Xiaoran Xu; Lei Mee Thien – Journal of Applied Research in Higher Education, 2025
Purpose: This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Computer Software
Cheng, Yung-Ming – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to propose a hybrid model integrating the expectation-confirmation model with the views of cognitive absorption (CA) theory and updated DeLone and McLean information system success model to examine whether quality factors as antecedents to medical professionals' beliefs can affect their continuance intention…
Descriptors: Cognitive Processes, Electronic Learning, Expectation, Health Personnel
