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Hongfeng Zhang; Fanbo Li; Xiaolong Chen – Journal of Educational Computing Research, 2025
This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…
Descriptors: Graduate Students, Artificial Intelligence, Learner Engagement, Foreign Countries
Sergio Dominguez-Lara; Mario A. Trógolo; Rodrigo Moreta-Herrera; Diego Vaca-Quintana; Manuel Fernández-Arata; Ana Paredes-Proaño – Journal of Psychoeducational Assessment, 2025
Academic engagement plays a crucial role in students' learning and performance. One of the most popular measures for assessing this construct is the Utrecht Work Engagement Scale for Students (UWES-S), which is based on a tridimensional conceptualization consisting of dedication, vigor, and absorption. However, prior research on its factor…
Descriptors: Learner Engagement, College Students, Foreign Countries, Factor Analysis
Bang Nguyen-Viet; Bac Nguyen-Viet – Cogent Education, 2023
This study aims to investigate the influence of gamification on students' engagement, learning effectiveness, and satisfaction in higher education, as well as the function of engagement and learning effectiveness in moderating the connection. Data were obtained quantitatively from 306 undergraduate and graduate students in Vietnam who participated…
Descriptors: Student Satisfaction, Foreign Countries, Gamification, Learner Engagement
Datu, Jesus Alfonso D.; Yang, Weipeng; Wai Lau, Kwok – Journal of Early Adolescence, 2023
Previous evidence has revealed that mindful individuals tend to pay more attention to specific tasks and demonstrate better work engagement. However, prior investigations commonly used cross-sectional designs to examinine the link of mindfulness to engagement in Western societies. This research explores the association of mindfulness with…
Descriptors: Metacognition, Learner Engagement, Foreign Countries, High School Students
Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
Zhang, Shunan; Che, ShaoPeng; Nan, Dongyan; Li, Yincen; Kim, Jang Hyun – Education and Information Technologies, 2023
Considering the importance of group member familiarity in collaborative learning in classroom learning environments, this study examined the impact of group member familiarity on CSCL (computer-supported collaborative learning) in a networked setting. Also, the differences between CSCL in the online environments and FtF (face-to-face)…
Descriptors: Group Dynamics, Familiarity, Cooperative Learning, Computer Assisted Instruction
Sen, Emine Ozgur – Pedagogical Research, 2022
This study aims to investigate the effects of middle school students' learning approaches and their attitudes towards mathematics on their engagement in mathematics course. The research cross-sectional survey design was used in the quantitative research model. The research was conducted with the participation of 5th-8th graders who attended…
Descriptors: Middle School Students, Learner Engagement, Learning Strategies, Structural Equation Models
Händel, Marion; Bedenlier, Svenja; Kopp, Bärbel; Gläser-Zikuda, Michaela; Kammerl, Rudolf; Ziegler, Albert – Education and Information Technologies, 2022
Given that video conferencing serves as a crucial means for remote teaching, the current study investigated higher education students' (non)use of webcams and engagement in synchronous online courses. Three phases were studied: (1) A state of engagement; (2) antecedents that influence it; and (3) consequences of engagement. The cross-sectional…
Descriptors: Video Technology, Learner Engagement, Electronic Learning, Synchronous Communication
Maloshonok, Natalia; Shcheglova, Irina – European Journal of Higher Education, 2023
The student engagement framework, originally developed for the US educational system, has become increasingly recognised internationally as a means of fostering learning gains in higher education. Despite its recognition, some researchers raise a question about the applicability of this framework in other cultural contexts. Our research extends…
Descriptors: Learner Engagement, Skill Development, Cross Cultural Studies, College Students
Ng, Peggy M. L.; Chan, Jason K. Y.; Lit, Kam Kong – Education and Information Technologies, 2022
Online collaborative learning (OCL) has received significant attention, but the ultimate goal of adopting OCL is neglected, especially in higher education context. To bridge the research gap, the present study applied OCL theory integrating with cognitive development to evaluate the effectiveness of student learning performance through OCL. To our…
Descriptors: Academic Achievement, Electronic Learning, Cooperative Learning, College Students
Findlater, Nickcoy – ProQuest LLC, 2022
The gap in supply (i.e., shortage) and demand of the STEM workforce have prompted extensive research on identifying factors that predict STEM outcomes and retention of students. Few studies, however, have examined the relationships between STEM outcomes and predictors in an integrated model, taking into account measurement errors in the…
Descriptors: STEM Education, College Freshmen, Academic Achievement, School Holding Power
Zachary J. Roman; Patrick Schmidt; Jason M. Miller; Holger Brandt – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Careless and insufficient effort responding (C/IER) is a situation where participants respond to survey instruments without considering the item content. This phenomena adds noise to data leading to erroneous inference. There are multiple approaches to identifying and accounting for C/IER in survey settings, of these approaches the best performing…
Descriptors: Structural Equation Models, Bayesian Statistics, Response Style (Tests), Robustness (Statistics)
Wang, Yang – Distance Education, 2022
Teaching presence has the potential to influence learning engagement. But the specific role of teaching presence in learning engagement is yet to be explored. Hence, I surveyed 1,328 college students in China through an online questionnaire. The structural equation modeling analysis result indicates that the five dimensions of teaching presence…
Descriptors: Teacher Student Relationship, Learner Engagement, Online Courses, College Students
Honggang Liu; Majid Elahi Shirvan; Tahereh Taherian – Studies in Second Language Learning and Teaching, 2025
The current research aimed to examine the relationships among three key aspects of the language learning process, namely, foreign language boredom (FLB), English language engagement (ELE), and academic buoyancy (AB), utilizing data collected from 2,992 Chinese language learners. In order to strengthen the accuracy and robustness of the results, we…
Descriptors: Learner Engagement, English (Second Language), Second Language Learning, Second Language Instruction
Carannante, Maria; Davino, Cristina; Vistocco, Domenico – Studies in Higher Education, 2021
Massive Open Online Courses, universally labelled as MOOCs, become more and more relevant in the era of digitalization of higher education. The availability of free education resources without access restrictions for a plenty of potential users has changed the learning market in a way unthinkable only few decades ago. This form of web-based…
Descriptors: Online Courses, Structural Equation Models, Least Squares Statistics, Measurement