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Yang, Jiemei; Xu, Jingyi; Zhang, Hui – Psychology in the Schools, 2022
The present study examined whether general self-efficacy (GSE) mediated the association between resiliency and academic engagement, and whether social support moderated the mediating process. Participants included 1549 Chinese adolescents (M[subscript age] = 16.71 years old, 629 boys). Using self-reported questionnaires, our study found that,…
Descriptors: Resilience (Psychology), Learner Engagement, Models, Self Efficacy
Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Epp, Carrie Demmans – International Educational Data Mining Society, 2022
The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…
Descriptors: Online Courses, Group Discussion, Learner Engagement, Student Participation
Jana Welling; Timo Gnambs; Claus H. Carstensen – Educational and Psychological Measurement, 2024
Disengaged responding poses a severe threat to the validity of educational large-scale assessments, because item responses from unmotivated test-takers do not reflect their actual ability. Existing identification approaches rely primarily on item response times, which bears the risk of misclassifying fast engaged or slow disengaged responses.…
Descriptors: Foreign Countries, College Students, Guessing (Tests), Multiple Choice Tests
Lee, Taerim; Lee, Sangeun; Ko, Hyeyun; Lee, Sang M. – Educational Psychology, 2022
Based on Job Demand Resource Model (JD-R), and Conservation of Resources Theory (COR Theory), self-compassion was set as a personal resource, and how it affected academic burnout, and academic engagement had been investigated. This study was conducted on a sample of 599 university students in South Korea who were expected to have overwhelming…
Descriptors: Self Concept, Altruism, College Students, Models
Collado, Zaldy C.; Rodriguez, Vintchiel R.; Dueñas, Zaldy D., III – Education 3-13, 2023
This study examines essential factors that affect children' quality of response towards a non-traditional learning platform specifically, self-learning modules (SLMs) as Philippine public school's mode of service-learning delivery. Our objective is to determine the predictive power of access to internet, household food security, and parental…
Descriptors: COVID-19, Pandemics, Learning Modules, Foreign Countries
Ashley Zitter – ProQuest LLC, 2024
Evidence-based early interventions for autism spectrum disorder (ASD) have been shown to improve child outcomes and quality of life (Lord et al., 2018; Reichow et al., 2018; Smith & Iadarola, 2015). However, response to intervention is variable across both children and implementation contexts. Understanding factors that influence this…
Descriptors: Autism Spectrum Disorders, Intervention, Early Intervention, Prediction
Elkilany, Elsayed Abdelwahed; Yousef, Wael – SAGE Open, 2021
While a consensus has emerged on the importance of creativity in graphic design and multimedia field, little systematic research has attempted to understand its facilitators or inhibitors in the graphic and multimedia education across colleges and universities. The current investigation surveys a sample of experts as well as professors teaching…
Descriptors: Graphic Arts, Design, Creativity, Multimedia Materials
Hayes, Aneta; Cheng, Jie – Educational Review, 2020
The paper proposes a statistical model for a TEF metric that could liberate the "oppressed" (international students) and the "oppressors" (home students) from the influence of public policies which, through constructions of international students as "supplicants" and "beneficiaries" of the prestigious…
Descriptors: Foreign Students, Models, Instructional Effectiveness, Global Approach
Rushkin, Ilia; Chuang, Isaac; Tingley, Dustin – Journal of Learning Analytics, 2019
Each time a learner in a self-paced online course seeks to answer an assessment question, it takes some time for the student to read the question and arrive at an answer to submit. If multiple attempts are allowed, and the first answer is incorrect, it takes some time to provide a second answer. Here we study the distribution of such…
Descriptors: Online Courses, Response Style (Tests), Models, Learner Engagement
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Lee, Jeonghyun; Soleimani, Farahnaz; Irish, India; Hosmer, John, IV; Soylu, Meryem Yilmaz; Finkelberg, Roy; Chatterjee, Saurabh – Online Learning, 2022
In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…
Descriptors: Online Courses, Models, Thinking Skills, Computer Mediated Communication
Rachmatullah, Arif; Reichsman, Frieda; Lord, Trudi; Dorsey, Chad; Mott, Bradford; Lester, James; Wiebe, Eric – Journal of Science Education and Technology, 2021
This study examined students' genetics learning in a game-based environment by exploring the connections between the expectancy-value theory of achievement motivation and flow theory. A total of 394 secondary school students were recruited and learned genetics concepts through interacting with a game-based learning environment. We measured their…
Descriptors: Models, Secondary School Students, Genetics, Game Based Learning
Thomas M. Kirnbauer – ProQuest LLC, 2021
This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…
Descriptors: Models, Predictor Variables, Socioeconomic Status, Academic Achievement
Karumbaiah, Shamya; Baker, Ryan S.; Shute, Valerie – International Educational Data Mining Society, 2018
Identifying struggling students in real-time provides a virtual learning environment with an opportunity to intervene meaningfully with supports aimed at improving student learning and engagement. In this paper, we present a detailed analysis of quit prediction modeling in students playing a learning game called Physics Playground. From the…
Descriptors: Predictor Variables, Academic Persistence, Educational Games, Play
Sachisthal, Maien S. M.; Jansen, Brenda R. J.; Peetsma, Thea T. D.; Dalege, Jonas; van der Maas, Han L. J.; Raijmakers, Maartje E. J. – Journal of Educational Psychology, 2019
In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another…
Descriptors: Foreign Countries, Comparative Education, Secondary School Students, Student Interests