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Hayes, Brett K.; Liew, Shi Xian; Desai, Saoirse Connor; Navarro, Danielle J.; Wen, Yuhang – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The samples of evidence we use to make inferences in everyday and formal settings are often subject to selection biases. Two property induction experiments examined group and individual sensitivity to one type of selection bias: sampling frames - causal constraints that only allow certain types of instances to be sampled. Group data from both…
Descriptors: Logical Thinking, Inferences, Bias, Individual Differences
Yasmin – Asian Journal of Distance Education, 2024
The paper explores and assesses, through quantitative research and data analytics models, as to how socio-demographic profile, work, and family responsibilities may be associated with motivational level and educational attainment or course completion rate of learners enrolled in the undergraduate courses of Indira Gandhi National Open University…
Descriptors: Student Characteristics, Profiles, Student Motivation, Academic Achievement
Xin, Weihao; Jia, Chanjuan; Liu, Chunling; Wang, Jingying; Chen, Amber La Rayne – International Journal of Inclusive Education, 2020
In this study, 227 pre-service teachers majoring in special education at two normal universities in eastern China were studied using a questionnaire survey. The survey sought to understand pre-service teachers' beliefs about students and teachers' role in special education, using a metaphor approach. The results are as follows: First, in terms of…
Descriptors: Preservice Teachers, Beliefs, Teacher Role, Special Education
Lee, Hye Yeon; List, Alexandra – Discourse Processes: A Multidisciplinary Journal, 2023
This study examined the role of relevance determinations within the context of undergraduates' multiple text reading and writing. In this study, undergraduate students were randomly assigned to one of two experimental conditions (i.e., to compose a research report about either the causes of or the solutions to the urban housing crisis), using a…
Descriptors: Undergraduate Students, Literacy, Comparative Analysis, Relevance (Education)
Eagle, Michael; Corbett, Albert; Stamper, John; Mclaren, Bruce – International Educational Data Mining Society, 2018
In this work we use prior to tutor-session data to generate an individualized student knowledge model. Intelligent learning environments use student models to individualize curriculum sequencing and help messages. Researchers decompose the learning tasks into sets of Knowledge Components (KCs) that represent individual units of knowledge; the…
Descriptors: Individualized Instruction, Models, Data Analysis, Knowledge Level
Kuperman, Victor; Matsuki, Kazunaga; Van Dyke, Julie A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The present research presents a novel method for investigating how characteristics of texts (words, sentences, and passages) and individuals (verbal and general cognitive skills) jointly influence eye-movement patterns over the time-course of reading, as well as comprehension accuracy. Fifty-one proficient readers read passages of varying…
Descriptors: Reader Text Relationship, Eye Movements, Oral Reading, Reading Tests
Phye, Gary D. – AERA Online Paper Repository, 2017
Within the context of complex cognitive processing and educational interventions, Woolfolk (2016) makes reference to problem solving acquisition, problem solving retention, and problem solving transfer. In each of the aforementioned types of problem solving activities, problem identification and problem representation (reflecting procedural…
Descriptors: Semantics, Problem Solving, Retention (Psychology), Cognitive Ability
Bolkan, San; Goodboy, Alan K. – Communication Education, 2019
This study examined learning differences for students who were given instructor-provided examples during a lesson compared with student-generated examples. In an experiment, 348 students were exposed to an online lesson about fear appeals and were randomly assigned to either a condition where (a) examples of key concepts were provided by the…
Descriptors: Models, Concept Formation, Individual Differences, Student Role
Mori, Kanetaka; Okamoto, Masahiko – Journal of Educational Psychology, 2017
We investigated how the updating function supports the integration process in solving arithmetic word problems. In Experiment 1, we measured reading time, that is, translation and integration times, when undergraduate and graduate students (n = 78) were asked to solve 2 types of problems: those containing only necessary information and those…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Mathematical Concepts
Tulis, Maria; Steuer, Gabriele; Dresel, Markus – Frontline Learning Research, 2016
Errors bear the potential to improve knowledge acquisition, provided that learners are able to deal with them in an adaptive and reflexive manner. However, learners experience a host of different--often impeding or maladaptive--emotional and motivational states in the face of academic errors. Research has made few attempts to develop a theory that…
Descriptors: Error Patterns, Metacognition, Learning Processes, Learning Motivation
Weisberg, Steven M.; Schinazi, Victor R.; Newcombe, Nora S.; Shipley, Thomas F.; Epstein, Russell A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
There are marked individual differences in the formation of cognitive maps both in the real world and in virtual environments (VE; e.g., Blajenkova, Motes, & Kozhevnikov, 2005; Chai & Jacobs, 2010; Ishikawa & Montello, 2006; Wen, Ishikawa, & Sato, 2011). These differences, however, are poorly understood and can be difficult to…
Descriptors: Experimental Psychology, Cognitive Mapping, Individual Differences, Simulated Environment
Savine, Adam C.; McDaniel, Mark A.; Shelton, Jill Talley; Scullin, Michael K. – Journal of Experimental Psychology: General, 2012
Prospective memory--remembering to retrieve and execute future goals--is essential to daily life. Prospective remembering is often achieved through effortful monitoring; however, potential individual differences in monitoring patterns have not been characterized. We propose 3 candidate models to characterize the individual differences present in…
Descriptors: Memory, Individual Differences, Attention, Personality
Navarro, Daniel J.; Dry, Matthew J.; Lee, Michael D. – Cognitive Science, 2012
Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key "sampling" assumption about how the available data were generated.…
Descriptors: Logical Thinking, Generalization, Sampling, Learning
Higgs, Karyn; Magliano, Joseph P.; Vidal-Abarca, Eduardo; Martínez, Tomas; McNamara, Danielle S. – Grantee Submission, 2015
Some individual difference factors are more strongly correlated with performance on postreading questions when the text is not available than when it is. The present study explores if similar interactions occur with bridging skill, which refers to a reader's propensity to establish connections between explicit text during reading. Undergraduates…
Descriptors: Correlation, Individual Differences, Undergraduate Students, Reading Processes
Rast, Philippe; Hofer, Scott M.; Sparks, Catharine – Multivariate Behavioral Research, 2012
A mixed effects location scale model was used to model and explain individual differences in within-person variability of negative and positive affect across 7 days (N=178) within a measurement burst design. The data come from undergraduate university students and are pooled from a study that was repeated at two consecutive years. Individual…
Descriptors: Individual Differences, Undergraduate Students, Psychological Patterns, Stress Variables
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