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Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies
Özkubat, Ufuk; Karabulut, Alpaslan; Özmen, Emine Rüya – International Electronic Journal of Elementary Education, 2020
Being a cognitive strategy instruction model called 'Solve It!' involves cognitive and metacognitive elements. The model was developed by Montague (1992) as one of the process-based teaching strategies. The purpose of 'Solve It!' strategy is to teach the following seven cognitive strategy steps: read, paraphrase, visualize, hypothesize, predict,…
Descriptors: Mathematics Instruction, Problem Solving, Cognitive Processes, Special Needs Students
Phage, Itumeleng B.; Lemmer, Miriam; Hitge, Mariette – African Journal of Research in Mathematics, Science and Technology Education, 2017
Students' graph comprehension may be affected by the background of the students who are the readers or interpreters of the graph, their knowledge of the context in which the graph is set, and the inferential processes required by the graph operation. This research study investigated these aspects of graph comprehension for 152 first year…
Descriptors: Foreign Countries, Graphs, Comprehension, Cognitive Processes
Manwaring, Kristine C. – ProQuest LLC, 2017
This is a multi-article format dissertation that explores emotional and cognitive engagement in higher education classrooms. Student engagement in higher education classrooms has been associated with desired outcomes such as academic achievement, retention, and graduation. Student engagement is a multi-faceted concept, consisting of behavioral,…
Descriptors: Emotional Response, Cognitive Processes, College Students, Learner Engagement
Stuebing, Karla K.; Barth, Amy E.; Trahan, Lisa H.; Reddy, Radhika R.; Miciak, Jeremy; Fletcher, Jack M. – Review of Educational Research, 2015
We conducted a meta-analysis of 28 studies comprising 39 samples to ask the question, "What is the magnitude of the association between various baseline child cognitive characteristics and response to reading intervention?" Studies were located via literature searches, contact with researchers in the field, and review of references from…
Descriptors: Meta Analysis, Response to Intervention, At Risk Students, Elementary School Students
Desimone, Laura M.; Hill, Kirsten Lee – Educational Evaluation and Policy Analysis, 2017
We use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement. Our study finds that implementation fidelity, operationalized as a measure of the frequency of implementation of the cognitive science…
Descriptors: Randomized Controlled Trials, Middle School Students, Secondary School Science, Science Instruction
Wagner, Kai; Klein, Martin; Klopp, Eric; Puhl, Thomas; Stark, Robin – Higher Education Studies, 2013
An experimental field study at a German university was conducted in order to test the effectiveness of an integrated learning environment to improve the acquisition of knowledge about empirical research methods. The integrated learning environment was based on the combination of instruction-oriented and problem-oriented design principles and…
Descriptors: Foreign Countries, College Students, Control Groups, Experimental Groups
Dolan, Robert P.; Burling, Kelly; Harms, Michael; Strain-Seymour, Ellen; Way, Walter; Rose, David H. – Pearson, 2013
The increased capabilities offered by digital technologies offer new opportunities to evaluate students' deeper knowledge and skills and on constructs that are difficult to measure using traditional methods. Such assessments can also incorporate tools and interfaces that improve accessibility for diverse students, as well as inadvertently…
Descriptors: Educational Technology, Technology Uses in Education, Access to Education, Evaluation Methods
Musso, Mariel F.; Kyndt, Eva; Cascallar, Eduardo C.; Dochy, Filip – Frontline Learning Research, 2013
Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…
Descriptors: Prediction, Academic Achievement, Networks, Learning Processes
Gierl, Mark J.; Leighton, Jacqueline P.; Wang, Changjiang; Zhou, Jiawen; Gokiert, Rebecca; Tan, Adele – College Board, 2009
The purpose of the study is to present research focused on validating the four algebra cognitive models in Gierl, Wang, et al., using student response data collected with protocol analysis methods to evaluate the knowledge structures and processing skills used by a sample of SAT test takers.
Descriptors: Algebra, Mathematics Tests, College Entrance Examinations, Student Attitudes
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

Pagano, Alicia L. – Journal of Creative Behavior, 1979
An examination of current definitions of creativity, the characteristics of creative individuals, and an overview of J. Piaget's theory of development are presented. (PHR)
Descriptors: Cognitive Processes, Concept Formation, Creativity, Definitions
Nicholson, Jennifer; Nicholson, Darren; Valacich, Joseph S. – Journal of Information Technology Education, 2008
In today's knowledge economy, technology is utilized more than ever to deliver instructional material to the learner. Nonetheless, information may not always be presented in a manner that maximizes the learning experience, resulting in a negative impact on learning outcomes. Drawing on the Task-Technology Fit model, a research framework was…
Descriptors: Cognitive Style, Instructional Design, Computer Assisted Instruction, Instructional Materials
Paquette, Gilbert; Brisebois, Anne; Ruelland, Diane – 2002
Adaptive assistance in distributed learning environments (DLEs) provides new and exciting possibilities through the full exploitation of data captured from the interaction of the different actors with information processing, collaboration, and self-management tools. This paper presents a process to build adaptive assistance in a DLE. A DLE is rich…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Distance Education, Educational Environment