NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Munzar, Brendan; Muis, Krista R.; Denton, Courtney A.; Losenno, Kelsey – Journal of Educational Psychology, 2021
We propose a model delineating the role of control, value, and cognitive disequilibrium in elementary students' experience of emotions during mathematics problem solving. We tested this model across 2 studies. In Study 1, using an explanatory mixed-methods design, 136 students from Grades 3 to 6 worked on a complex mathematics problem appropriate…
Descriptors: Elementary School Students, Cognitive Processes, Affective Behavior, Mathematics Skills
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gulacar, Ozcan; Bowman, Charles R.; Feakes, Debra A. – Science Education International, 2013
The problem-solving strategies of students enrolled in general chemistry courses have been the subject of numerous research investigations. In most cases, the investigators were interested in the specific areas or concepts that posed the greatest difficulty to a student's success in achieving the correct answer. However, the investigation reported…
Descriptors: Problem Solving, College Students, Chemistry, Science Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Hausmann, Robert G. M.; VanLehn, Kurt – International Journal of Artificial Intelligence in Education, 2010
Self-explaining is a domain-independent learning strategy that generally leads to a robust understanding of the domain material. However, there are two potential explanations for its effectiveness. First, self-explanation generates additional "content" that does not exist in the instructional materials. Second, when compared to…
Descriptors: Instructional Design, Intelligent Tutoring Systems, College Students, Predictor Variables
Peer reviewed Peer reviewed
Elshout, Jan J.; Veenman, Marcel V. J. – Journal of Educational Research, 1992
The relationship between intellectual ability, working method, and learning was investigated with simulations in both structured and unstructured learning environments. High- and low-intelligence college students' thinking-aloud protocols were analyzed on quality of working method. Results indicated that both intellectual ability and working…
Descriptors: Cognitive Ability, Cognitive Style, College Students, Computer Simulation