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Direct linkOr Dagan; Carlo Schuengel; Marije L. Verhage; Sheri Madigan; Glenn I. Roisman; Kristin Bernard; Robbie Duschinsky; Marian Bakermans-Kranenburg; Jean-François Bureau; Abraham Sagi-Schwartz; Rina D. Eiden; Maria S. Wong; Geoffrey L. Brown; Isabel Soares; Mirjam Oosterman; R. M. Pasco Fearon; Howard Steele; Carla Martins; Ora Aviezer – Child Development, 2024
An individual participant data meta-analysis was conducted to test pre-registered hypotheses about how the configuration of attachment relationships to mothers and fathers predicts children's language competence. Data from seven studies (published between 1985 and 2014) including 719 children (M[subscript age]: 19.84 months; 51% female; 87% White)…
Descriptors: Parent Child Relationship, Attachment Behavior, Fathers, Mothers
Ikumi Futamura; Yoshihiro Shima – European Journal of Developmental Psychology, 2024
This study examined young children's behaviour predictions in direct reciprocal prosocial situations. Participants aged 4-6 years (N = 60) listened to four stories that addressed the actor's previous behaviour (prosocial/non-prosocial) combined with the partner's behaviour (prosocial/non-prosocial). Then, they made predictions regarding the…
Descriptors: Young Children, Behavior, Prediction, Prosocial Behavior
Download full textYikai Lu; Lingbo Tong; Ying Cheng – Journal of Educational Data Mining, 2024
Knowledge tracing aims to model and predict students' knowledge states during learning activities. Traditional methods like Bayesian Knowledge Tracing (BKT) and logistic regression have limitations in granularity and performance, while deep knowledge tracing (DKT) models often suffer from lacking transparency. This paper proposes a…
Descriptors: Models, Intelligent Tutoring Systems, Prediction, Knowledge Level
Valentina Gliozzi – Cognitive Science, 2024
We propose a simple computational model that describes potential mechanisms underlying the organization and development of the lexical-semantic system in 18-month-old infants. We focus on two independent aspects: (i) on potential mechanisms underlying the development of taxonomic and associative priming, and (ii) on potential mechanisms underlying…
Descriptors: Infants, Computation, Models, Cognitive Development
Babu Noushad; Pascal W. M. Van Gerven; Anique B. H. de Bruin – Advances in Health Sciences Education, 2024
Studying texts constitutes a significant part of student learning in health professions education. Key to learning from text is the ability to effectively monitor one's own cognitive performance and take appropriate regulatory steps for improvement. Inferential cues generated during a learning experience typically guide this monitoring process. It…
Descriptors: Metacognition, Prediction, Cues, Visual Aids
Mark Reddy – ProQuest LLC, 2024
This study addressed a critical gap in the literature by investigating the relationship between organizational culture and mission drift within Christian higher education. While mission drift has been widely discussed in popular press, limited academic research has explored the factors influencing it, particularly organizational culture. Utilizing…
Descriptors: Organizational Culture, Religious Colleges, Christianity, Institutional Mission
Saeed Kabiri; Christopher M. Donner; Seyyedeh Masoomeh Shadmanfaat; Mohammad Mahdi Rahmati – International Journal of Bullying Prevention, 2024
Bullying, particularly among teenagers and young adults, is one of the most important issues facing school communities. At its very heart, this issue speaks to a troubling form of deviant behavior. When students engage in bullying behaviors, the effects are felt far beyond that of the direct victim. As such, it is important to investigate the…
Descriptors: High School Students, Student Attitudes, Bullying, Foreign Countries
Perez, Omar D.; Vogel, Edgar H.; Naraslwodeyar, Sanjay; Soto, Fabian A. – Learning & Memory, 2022
Theories of learning distinguish between elemental and configural stimulus processing depending on whether stimuli are processed independently or as whole configurations. Evidence for elemental processing comes from findings of summation in animals where a compound of two dissimilar stimuli is deemed to be more predictive than each stimulus alone,…
Descriptors: Cues, Associative Learning, Stimuli, Prediction
Sha, Lele; Rakovic, Mladen; Das, Angel; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2022
Predictive modeling is a core technique used in tackling various tasks in learning analytics research, e.g., classifying educational forum posts, predicting learning performance, and identifying at-risk students. When applying a predictive model, it is often treated as the first priority to improve its prediction accuracy as much as possible.…
Descriptors: Prediction, Models, Accuracy, Mathematics
Cohausz, Lea – International Educational Data Mining Society, 2022
Despite calls to increase the focus on explainability and interpretability in EDM and, in particular, student success prediction, so that it becomes useful for personalized intervention systems, only few efforts have been undertaken in that direction so far. In this paper, we argue that this is mainly due to the limitations of current Explainable…
Descriptors: Success, Prediction, Social Sciences, Artificial Intelligence
Sang, Guoyuan; Wang, Kai; Li, Shihua; Xi, Jiao; Yang, Dong – Educational Technology Research and Development, 2023
In a very short time, higher education transitioned to online and blended learning, in response to the global COVID-19 pandemic. Although research literature is replete with rationale for instructors to develop digital competence during the Great Online Transition, research on the correlates of digital competence and effort expectancy in relation…
Descriptors: Digital Literacy, College Faculty, Foreign Countries, Work Attitudes
de Jong, Bastian; Jansen in de Wal, Joost; Cornelissen, Frank; van der Lans, Rikkert; Peetsma, Thea – International Journal of Training and Development, 2023
Transfer motivation is an important factor influencing transfer of training. However, earlier research often did not investigate transfer motivation as a multidimensional construct. The unified model of task-specific motivation (UMTM) takes into account that (transfer) motivation is multidimensional by including both affective and cognitive…
Descriptors: Informed Consent, Transfer of Training, Prediction, Models
Xia, Xiaona – Interactive Learning Environments, 2023
The research of multi-category learning behaviors is a hot issue in interactive learning environment, and there are many challenges in data statistics and relationship modeling. We select the massive learning behaviors data of multiple periods and courses and study the decision application of regression analysis. First, based on the definition of…
Descriptors: Learning Analytics, Decision Making, Regression (Statistics), Bayesian Statistics
Lewis, Christina M.; Gutzwiller, Robert S. – Cognitive Research: Principles and Implications, 2023
Previous work on indices of error-monitoring strongly supports that errors are distracting and can deplete attentional resources. In this study, we use an ecologically valid multitasking paradigm to test post-error behavior. It was predicted that after failing an initial task, a subject re-presented with that task in conflict with another…
Descriptors: Prediction, Task Analysis, Cognitive Processes, Behavior
Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
MOOCs might be an important organization way to realize the online learning process. Online technology and sharing technology enable MOOCs to realize the adaptive scheduling of learning resources, as well as the independent construction of learning sequences. At the same time, it also generates a large number of complex learning behaviors. How to…
Descriptors: MOOCs, Learning Processes, Learning Analytics, Graphs
