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Garry Bryn Hobbs; Sandie Mourão – ELT Journal, 2025
This article reports on an intervention study conducted to improve young Thai learners' motivation and attitudes towards take-home tests. The traditional use of summative tests in education has often led to increased pressure and demotivation among students. Based on formative assessment practices and motivational strategies, the study aimed to…
Descriptors: Learning Strategies, Student Motivation, Learner Engagement, Foreign Countries

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
Kexin Qin; Yehui Wang – European Journal of Psychology of Education, 2025
Homework is a self-regulated activity that constitutes a large proportion of learning time. In mathematics, how long is the optimal homework time for achievement development and how to improve homework time efficiency have long been questions. The study examined how mathematics homework time was related to mathematics achievement among Chinese…
Descriptors: Mathematics Achievement, Homework, Guidance, Metacognition
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
Amie Duncan; Abigail Evans; Aaron Vaughn; Leanne Tamm – Psychology in the Schools, 2025
Autistic students demonstrate poor academic performance which may be related to challenges in learning behaviors such as organization, planning, study skills, and so forth. Most studies report on summary scores; however, there may be value in understanding specific strengths and challenges to better inform assessment and intervention efforts. The…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Student Behavior, Middle School Students
Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
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