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Olanrewaju P. Olaogun; Nathaniel J. Hunsu – European Journal of Psychology of Education, 2025
Students have misconceptions about many scientific topics they encounter in the classroom--such misconceptions are especially rife in subjects with counterintuitive concepts. Several studies have copiously documented students' misconceptions in different science domains. Research shows that students' misconceptions can be resistant to change and…
Descriptors: College Students, College Faculty, Engineering Education, Misconceptions
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Sunawan; Sugiyo; Pranoto, Yuli Kurniawati Sugiyo – Malaysian Journal of Learning and Instruction, 2021
Purpose: Achievement emotions have been shown to mediate the association between achievement goals and learning performance, but no research to date has tested whether there is a similar process in predicting germane cognitive load. Based on the control-value theory of academic emotions (Pekrun, 2006), the present study tested a model to determine…
Descriptors: Achievement Need, Goal Orientation, Mastery Learning, Student Motivation
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Goldin, Ilya; Galyardt, April – Journal of Educational Data Mining, 2018
Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…
Descriptors: Predictor Variables, Models, Learning Processes, Matrices
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
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Lin, Xi – International Journal of Teaching and Learning in Higher Education, 2019
As the number of enrolled international ESL students in the US institutions increases rapidly, it is important to understand these students' goal orientations and learning strategies in order to help them achieve the academic goals. Therefore, this study examines the relationship between achievement goal orientations and self-regulated learning…
Descriptors: Foreign Students, Goal Orientation, English (Second Language), Second Language Learning
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Dakhi, Saniago; Fitria, Tira Nur – Journal of English Teaching, 2019
The importance of vocabulary, its types, selection criteria, size and depth, and teaching principles were found unclear. The present article seeks to respond to such challenge. To achieve the mentioned goals, we did a systematic review to previously related studies and theories. The results showed that the vocabulary was found to be more…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Vocabulary Development
Dakhi, Saniago; Fitria, Tira Nur – Online Submission, 2019
The importance of vocabulary, its types, selection criteria, size and depth, and teaching principles were found unclear. The present article seeks to respond to such challenge. To achieve the mentioned goals, we did a systematic review to previously related studies and theories. The results showed that the vocabulary was found to be more…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Vocabulary Development
Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
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Beier, Margaret E.; Campbell, Madeline; Crook, Amy E. – Intelligence, 2010
Ability and non-ability traits were examined as predictors of learning, operationalized as the development of knowledge structure accuracy, and exam performance in a semester-long course. As predicted by investment theories of intellectual development, both cognitive ability and non-ability traits were important determinants of learning and exam…
Descriptors: Test Results, Goal Orientation, Cognitive Structures, Intellectual Development
Federico, Pat-Anthony – 1984
To ascertain changes in cognitive correlates of learning as students advance through hierarchical instruction, 24 individual difference measures were obtained from 166 Navy trainees who had completed a computer-managed course in electricity and electronics. Principal component analysis and varimax rotation were computed for cognitive…
Descriptors: Academic Achievement, Aptitude Treatment Interaction, Cognitive Ability, Computer Managed Instruction
Garner, William T. – 1971
The purpose of this paper is to discuss some of the problems and prospects of applying production function or input-output analysis to the process of schooling. The cognitive aspect of schooling is discussed here and is restricted to those aspects readily measured by achievement tests. It is argued that education production function studies should…
Descriptors: Achievement Tests, Behavioral Objectives, Cognitive Development, Economic Research