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Ling Zhang; Naiqing Song; Guowei Wu; Jinfa Cai – Educational Studies in Mathematics, 2025
This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-aloud methods to deeply explore students' behavior in these three stages of problem posing, especially focusing on investigating…
Descriptors: Cognitive Processes, Mathematics Skills, Problem Solving, Eye Movements
Rogiers, Amelie; Merchie, Emmelien; van Keer, Hilde – Frontline Learning Research, 2020
The current study uncovers secondary school students' actual use of text-learning strategies during an individual learning task by means of a concurrent self-reported thinking aloud procedure. Think-aloud data of 51 participants with different learning strategy profiles, distinguished based on a retrospective self-report questionnaire (i.e., 15…
Descriptors: Secondary School Students, Learning Strategies, Protocol Analysis, Research Methodology
Gómez Ferragud, Carlos B.; Solaz-Portolés, Joan Josep; Sanjosé, Vicente – EURASIA Journal of Mathematics, Science & Technology Education, 2015
We conducted a qualitative research of case studies based on think-aloud protocols. The aim was to carry out in-depth analyse secondary students' cognitive difficulties appearing in early stages of transfer processes in problem-solving. The task was to relate several source problems to a target problem, in order to solve it effectively. Source and…
Descriptors: Familiarity, Units of Study, Problem Solving, Logical Thinking
Xin, Joy F.; Johnson, Mary L. – Preventing School Failure, 2015
This study examined the effect of using a remote device, a Clicker, on the on-task behavior of middle school students with behavior problems. Five students with behavior problems participated in the study. A single-subject research design with ABAB (phase A: baseline 1, phase B: intervention 1, phase A: baseline 2, phase B: intervention 2) phases…
Descriptors: Middle School Students, Behavior Problems, Student Behavior, Audience Response Systems
Scott, Terrance M.; Hirn, Regina G.; Alter, Peter J. – Preventing School Failure, 2014
Effective instruction is a critical predictor of student achievement. As students with exceptionalities such as emotional and behavioral disorders and learning disabilities, who typically struggle with academic achievement, spend increasing amounts of general education settings, the need for precise instructional behaviors becomes more imperative.…
Descriptors: Predictor Variables, Student Behavior, Behavior Problems, Teacher Effectiveness
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
Chen, Wiyun; Hypnar, Andrew J.; Mason, Steve A.; Zalmout, Sandy – Journal of Teaching in Physical Education, 2014
The purpose of this study was to examine the contribution of quality physical education (QPET) in a Comprehensive School Physical Activity Program (CSPAP) which is intended to promote physical activity (PA) behaviors in and outside of schools. Participants were nine elementary physical education teachers and their fourth- and fifth-grade students…
Descriptors: Physical Activities, Physical Activity Level, Physical Education, Student Behavior