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Showing 1 to 15 of 21 results Save | Export
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Balabanoff, Morgan E.; Al Fulaiti, Haiyan; Bhusal, Shikshya; Harrold, Archer; Moon, Alena C. – International Journal of Science Education, 2020
Light is used ubiquitously across science and engineering to explore, characterise, understand matter, and catalyse processes. Relative to its utility in science and engineering, very little research has been conducted on how students develop an understanding of light-matter interactions, especially at the quantum level, which is necessary to…
Descriptors: Chemistry, Science Instruction, Light, Student Attitudes
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Kim, Young-Suk Grace – British Journal of Educational Psychology, 2020
Background: Writing involves multiple processes, drawing on a number of language, cognitive, and print-related skills, and knowledge. According to the Direct and Indirect Effects model of Writing (DIEW; Kim & Park, 2019, "Reading and Writing," 32, 1319), these multiple factors have hierarchical, interactive, and dynamic relations.…
Descriptors: Writing (Composition), Language Skills, Thinking Skills, Knowledge Level
Kim, Young-Suk Grace – Grantee Submission, 2019
Background: Writing involves multiple processes, drawing on a number of language, cognitive, and print-related skills, and knowledge. According to the Direct and Indirect Effects model of Writing (DIEW; Kim & Park, 2019, "Reading and Writing," 32, 1319), these multiple factors have hierarchical, interactive, and dynamic relations.…
Descriptors: Writing (Composition), Language Skills, Thinking Skills, Knowledge Level
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Cromley, Jennifer G.; Wills, Theodore W. – Journal of Research in Reading, 2016
Van den Broek's landscape model explicitly posits sequences of moves during reading in real time. Two other models that implicitly describe sequences of processes during reading are tested in the present research. Coded think-aloud data from 24 undergraduate students reading scientific text were analysed with lag-sequential techniques to compare…
Descriptors: Protocol Analysis, Coding, Undergraduate Students, Learning Processes
Kim, Young-Suk Grace – Journal of Learning Disabilities, 2020
The authors propose an integrative theoretical model of reading called the direct and indirect effects model of reading (DIER) that builds on and extends several prominent theoretical models of reading. According to DIER, the following skills and knowledge are involved in reading comprehension: word reading, listening comprehension, text reading…
Descriptors: Models, Reading Comprehension, Word Recognition, Listening Comprehension
Tavarez DaCosta, Pedro; Herrera Gutierrez, Yerni – Online Submission, 2020
Universidad Tecnológica de Santiago (UTESA) is a university considered as one of the highest ranking universities in the Dominican Republic, it is one of the few to be recognized by the Ministry of Higher Education, Science and Technology as an autonomous university for its constant research and updating. This university offers to college students…
Descriptors: Foreign Countries, Reading Comprehension, English (Second Language), Second Language Learning
Kim, Young-Suk Grace – Grantee Submission, 2020
The authors propose an integrative theoretical model of reading called the direct and indirect effects model of reading (DIER) that builds on and extends several prominent theoretical models of reading. According to DIER, the following skills and knowledge are involved in reading comprehension: word reading, listening comprehension, text reading…
Descriptors: Models, Reading Comprehension, Word Recognition, Listening Comprehension
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Zonca, Joshua; Coricelli, Giorgio; Polonio, Luca – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…
Descriptors: Eye Movements, Individual Differences, Task Analysis, Futures (of Society)
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Rafferty, Anna N.; LaMar, Michelle M.; Griffiths, Thomas L. – Cognitive Science, 2015
Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we…
Descriptors: Inferences, Knowledge Level, Educational Games, Computer Simulation
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Jenkins, Gavin W.; Samuelson, Larissa K.; Smith, Jodi R.; Spencer, John P. – Cognitive Science, 2015
It is unclear how children learn labels for multiple overlapping categories such as "Labrador," "dog," and "animal." Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and…
Descriptors: Generalization, Young Children, Inferences, Models
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Ercikan, Kadriye; Oliveri, María Elena – Applied Measurement in Education, 2016
Assessing complex constructs such as those discussed under the umbrella of 21st century constructs highlights the need for a principled assessment design and validation approach. In our discussion, we made a case for three considerations: (a) taking construct complexity into account across various stages of assessment development such as the…
Descriptors: Evaluation Methods, Test Construction, Design, Scaling
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Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
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Drissi, Samia; Amirat, Abdelkrim – International Journal of Distance Education Technologies, 2016
Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Assistive Technology
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Martin, Andrew J.; Wilson, Rachel; Liem, Gregory Arief D.; Ginns, Paul – Journal of Higher Education, 2014
In the context of "academic momentum," a longitudinal study of university students (N = 904) showed high school achievement and ongoing university achievement predicted subsequent achievement through university. However, the impact of high school achievement diminished, while additive effects of ongoing university achievement continued.…
Descriptors: Foreign Countries, College Students, Longitudinal Studies, Academic Achievement
Gong, Yue; Rai, Dovan; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
In this study, we are interested to see the impact of self-discipline on students' knowledge and learning. Self-discipline can influence both learning rate as well as knowledge accumulation over time. We used a Knowledge Tracing (KT) model to make inferences about students' knowledge and learning. Based on a widely used questionnaire, we measured…
Descriptors: Data Analysis, Self Control, Knowledge Level, Learning
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