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Casey L. Roark; Bharath Chandrasekaran – npj Science of Learning, 2023
The ability to organize variable sensory signals into discrete categories is a fundamental process in human cognition thought to underlie many real-world learning problems. Decades of research suggests that two learning systems may support category learning and that categories with different distributional structures (rule-based,…
Descriptors: Behavior Patterns, Behavioral Science Research, Learning Processes, Classification
Wolfgang Weidermann; Keith C. Herman; Wendy Reinke; Alexander von Eye – Grantee Submission, 2022
Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis…
Descriptors: Student Behavior, Behavior Patterns, Monte Carlo Methods, Statistical Analysis
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
Patrick, Susan Kemper; Rogers, Laura K.; Goldring, Ellen; Neumerski, Christine M.; Robinson, Viviane – Journal of Educational Administration, 2021
Purpose: Leadership coaching is an increasingly popular development tool for school principals. However, specific coaching behaviors are rarely conceptualized or examined in prior research. This study presents a coaching behavior framework and then analyzes actual coaching conversations between principals and coaches to illustrate how specific…
Descriptors: Leadership Training, Coaching (Performance), Principals, Faculty Development
Annis, Jeffrey; Gauthier, Isabel; Palmeri, Thomas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), to predict errors and response times (RTs) in a novel object recognition task in humans.…
Descriptors: Prediction, Recognition (Psychology), Artificial Intelligence, Performance
Zhou, Yiqiu; Kang, Jina – International Educational Data Mining Society, 2022
The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…
Descriptors: Astronomy, Problem Solving, Science Instruction, Cooperative Learning
Birch, Heather J. S. – Journal of Online Learning Research, 2022
This case study is about understanding disruptive students who are motivated by a psychological need to invoke change in a learning space. Marczewski's User Types Test, a typology for classifying both intrinsic and extrinsic motivational tendencies, and based on Self-Determination Theory, was administered to 14 participants, aged 9 through 15, to…
Descriptors: Elementary School Students, High School Students, Student Behavior, Behavior Problems
Roark, Casey L.; Lehet, Matthew I.; Dick, Frederic; Holt, Lori L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Category learning is fundamental to cognition, but little is known about how it proceeds in real-world environments when learners do not have instructions to search for category-relevant information, do not make overt category decisions, and do not experience direct feedback. Prior research demonstrates that listeners can acquire task-irrelevant…
Descriptors: Classification, Learning Processes, Schemata (Cognition), Decision Making
Wagle, Rhea; Dowdy, Erin; Nylund-Gibson, Karen; Sharkey, Jill D.; Carter, Delwin; Furlong, Michael J. – Educational and Developmental Psychologist, 2021
Introduction: The investigation of school belonging is crucial due to its established significant associations with mental health, academic achievement, and risky behaviours coupled with the limited research documenting the configurations of children's school belonging experiences. Objective: This study sought to better understand elementary…
Descriptors: Mental Health, Student School Relationship, Elementary School Students, Student Attitudes
Huynh, Tra; Madsen, Adrian; McKagan, Sarah; Sayre, Eleanor – Information and Learning Sciences, 2021
Purpose: Personas are lifelike characters that are driven by potential or real users' personal goals and experiences when interacting with a product. Personas support user-centered design by focusing on real users' needs. However, the use of personas in educational research and design requires certain adjustments from its original use in…
Descriptors: Phenomenology, Instructional Design, Classification, Faculty Development