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List, Alexandra; Alexander, Patricia A. – Educational Psychologist, 2017
This article introduces the cognitive affective engagement model (CAEM) of multiple source use. The CAEM is presented as a way of unifying cognitive and behaviorally focused models of multiple text engagement with research on the role of affective factors (e.g., interest) in text processing. The CAEM proposes that students' engagement with…
Descriptors: Models, Cognitive Processes, Affective Behavior, Reading Interests
Morell, Linda; Collier, Tina; Black, Paul; Wilson, Mark – Journal of Research in Science Teaching, 2017
This paper builds on the current literature base about learning progressions in science to address the question, "What is the nature of the learning progression in the content domain of the structure of matter?" We introduce a learning progression in response to that question and illustrate a methodology, the Construct Modeling (Wilson,…
Descriptors: Scientific Concepts, Middle School Students, Public Schools, Models
Lamb, Richard; Cavagnetto, Andy; Akmal, Tariq – International Journal of Science and Mathematics Education, 2016
A critical problem with the examination of learning in education is that there is an underlying assumption that the dynamic systems associated with student information processing can be measured using static linear assessments. This static linear approach does not provide sufficient ability to characterize learning. Much of the modern research…
Descriptors: Cognitive Processes, Learning Processes, Science Instruction, Models
Fü rst, Guillaume; Ghisletta, Paolo; Lubart, Todd – Journal of Creative Behavior, 2016
The present work proposes an integrative model of creativity that includes personality traits and cognitive processes. This model hypothesizes that three high-order personality factors predict two main process factors, which in turn predict intensity and achievement of creative activities. The personality factors are: "Plasticity" (high…
Descriptors: Personality, Creativity, Personality Traits, Cognitive Processes
Stoilescu, Dorian – European Journal of Science and Mathematics Education, 2016
This article discusses major theoretical debates and paradigms from the last decades in general education and their specific influences in mathematics education contexts. Behaviourism, cognitive science, constructivism, situated cognition, critical theory, place-based learning, postmodernism and poststructuralism and their significant aspects in…
Descriptors: Mathematics Education, Educational Research, Educational Theories, Behaviorism
Kumar, S. Prasanna; Nathan, B. Sami – Online Submission, 2016
Every teacher expects optimum level of processing in mind of them students. The level of processing is mainly depends upon memory process. Most of the students have retrieval difficulties on past learning. Memory difficulties directly related to sensory integration. In these circumstances the investigator made an attempt to construct Multisensory…
Descriptors: Models, Multisensory Learning, Memory, Instructional Innovation
Alonzo, Alicia C.; Elby, Andrew – Cognition and Instruction, 2019
As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…
Descriptors: Science Teachers, Physics, Models, Learning Processes
Yang, Yan; Cox, Cody; Cho, YoonJung – Journal of Psychoeducational Assessment, 2020
Despite the critical role of emotions in multicultural teacher education, no attempt has been made to develop an instrument including affect as a dimension in measuring cultural competence for preservice teachers. To bridge this gap, the present three-study research used three distinct samples of 456 preservice teachers to develop and estimate the…
Descriptors: Cultural Awareness, Measures (Individuals), Student Attitudes, Preservice Teachers
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)
Blanc-Goldhammer, Daryn R.; Cohen, Dale J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Research has shown that integer comparison is quick and efficient. This efficiency may be a function of the structure of the integer comparison system. The present study tests whether integers are compared with an unlimited capacity system or a limited capacity system. We tested these models using a visual search task with time delimitation. The…
Descriptors: Numbers, Comparative Analysis, Cognitive Processes, Models
Mao, Ye; Lin, Chen; Chi, Min – Journal of Educational Data Mining, 2018
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…
Descriptors: Prediction, Pretests Posttests, Bayesian Statistics, Short Term Memory
Kim, Dongho – International Review of Research in Open and Distributed Learning, 2018
The demand for qualified teachers with sufficient pedagogical knowledge and skills is high. However, existing teacher education programs do not provide adequate experiences through which to develop pre-service teachers' professional foundations. This study recognized Open Educational Resources (OER) as a means by which to address the issue of…
Descriptors: Models, Preservice Teachers, Preservice Teacher Education, Educational Technology
Teichert, Melonie A.; Tien, Lydia T.; Dysleski, Lisa; Rickey, Dawn – Journal of Chemical Education, 2017
This study investigated relationships between the thinking processes that 28 undergraduate chemistry students engaged in during guided discovery and their subsequent success at reasoning through a transfer problem during an end-of-semester interview. During a guided-discovery laboratory module, students were prompted to use words, pictures, and…
Descriptors: Science Instruction, College Science, Undergraduate Study, Molecular Structure
Çebi, Ayça; Karal, Hasan – Educational Research and Reviews, 2017
In recent years, artificial intelligence applications for understanding the human thinking process and transferring it to virtual environments come into prominence. The fuzzy logic which paves the way for modeling human behaviors and expressing even vague concepts mathematically, and is also regarded as an artificial intelligence technique has…
Descriptors: Artificial Intelligence, Logical Thinking, Decision Making, Mathematical Applications
Gerst, Elyssa H. – ProQuest LLC, 2017
The primary aim of this study was to examine the structure of processing speed (PS) in middle childhood by comparing five theoretically driven models of PS. The models consisted of two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output modality model, and a timing modality…
Descriptors: Cognitive Processes, Models, Reading Skills, Elementary School Students

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