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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Jianzhong Xu – European Journal of Psychology of Education, 2024
The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…
Descriptors: Homework, Hierarchical Linear Modeling, Predictor Variables, Middle School Students
Sibley F. Lyndgaard; Ruth Kanfer – Journal of the Learning Sciences, 2024
Background: "21st century learning" is reliant on not only cognitive competencies such as problem-solving, but also interpersonal (e.g., collaboration) and intrapersonal (e.g., self-regulation) competencies. Building on research in K-12/undergraduate contexts, we investigated cognitive, interpersonal, and intrapersonal learning tactics…
Descriptors: 21st Century Skills, Interpersonal Competence, Learning Strategies, Graduate Students
Ilmari J. A. Puhakka; Markku Niemivirta; Liisa Postareff; Petri Nokelainen – Vocations and Learning, 2025
This study uses a person-centered approach to investigate construction workers' learning at work, focusing on their approaches to learning, self-efficacy beliefs and work engagement and how these vary according to their goal orientation profiles. Survey data were collected from Finnish construction sector employees (N = 1,280) in June 2021. The…
Descriptors: Foreign Countries, Construction Industry, Building Trades, Skilled Workers
Nicholas Gorgievski; Thomas DeFranco – Investigations in Mathematics Learning, 2024
In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Scores
Sungjun Won; Christopher A. Wolters – Educational Psychology, 2024
The primary objective was to investigate the relations between college students' achievement goals and their engagement in self-regulated learning using a person-centered approach. College students (N = 364) completed surveys that assessed mindset, self-efficacy, anxiety, achievement goals, and self-regulated learning. Latent profile analyses…
Descriptors: Correlation, Academic Achievement, Goal Orientation, Profiles
N. Nurmi; Herawati Susilo; I. Ibrohim; S. Suhadi – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
Metacognitive skills are important because they help people develop an understanding of effective strategies. This skill also helps improve one's critical thinking and creative thinking so as to be able to overcome problems in everyday life. The purpose of this research is to train students' metacognitive skills through biology learning using the…
Descriptors: Metacognition, Thinking Skills, Skill Development, Learning Strategies
Jessica A. Bowman; John McDonnell; Karen Karp; Olivia F. Coleman; Carrie Clifton; Lyndsey Aiono Conradi; Joanna Ryan; Michael Farrell – Research and Practice for Persons with Severe Disabilities, 2024
In this convergent mixed methods design study, single-subject and qualitative data were collected concurrently to provide an in-depth picture of the impact of a modified schema-based instructional intervention. The intervention was delivered using instructional trials embedded across general education math lessons and a modified…
Descriptors: Mixed Methods Research, Schemata (Cognition), Teaching Methods, General Education
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content