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Shoaib, Muhammad; Ullah, Hazir – International Journal of Educational Management, 2021
Purpose: This paper attempts to explore possible contributing factors of females' outperformance and males' underperformance in the higher education in Pakistan from teachers' perspective. The central question of the study is what are the key factors that affect female and male students' educational performance at the university level? Using…
Descriptors: Teacher Attitudes, Gender Differences, Achievement Gap, College Students
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Yang, Tzu-Chi; Liu, Yih-Lan; Wang, Li-Chun – Educational Technology & Society, 2021
The recently increased importance of practicing precision education has attracted much attention. To better understand students' learning and the relationship between their individual differences and learning outcomes, the bird-eye view possible for educational policymakers and stakeholders from educational data mining and institutional research…
Descriptors: Institutional Research, Prediction, Learning Analytics, Undergraduate Students
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Lee, Youngho – Journal of Education and e-Learning Research, 2021
Among various methods to improve educational conditions, efforts are being made to reduce the number of students per teacher. However, for policy decisions it is necessary to reflect multiple factors such as changes in the number of students over time and local requirements. Time-series analysis-based statistical models have been used as a method…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Prediction
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Archibald, John – Second Language Research, 2021
There are several theories which tackle predicting the source of third language (L3) crosslinguistic influence. The two orthogonal questions that arise are which language is most likely to influence the L3 and whether the influence will be wholesale or piecemeal (property-by-property). To my mind, Westergaard's Linguistic Proximity Model (LPM) is…
Descriptors: Multilingualism, Transfer of Training, Cues, Linguistic Theory
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Boehm, Udo; Matzke, Dora; Gretton, Matthew; Castro, Spencer; Cooper, Joel; Skinner, Michael; Strayer, David; Heathcote, Andrew – Cognitive Research: Principles and Implications, 2021
Human operators often experience large fluctuations in cognitive workload over seconds timescales that can lead to sub-optimal performance, ranging from overload to neglect. Adaptive automation could potentially address this issue, but to do so it needs to be aware of real-time changes in operators' spare cognitive capacity, so it can provide help…
Descriptors: Prediction, Cognitive Processes, Difficulty Level, Automation
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Luo, Tian; So, Winnie Wing Mui; Wan, Zhi Hong; Li, Wai Chin – International Journal of STEM Education, 2021
Background: Nurturing students' interest in science, technology, engineering, and mathematics (STEM) careers is a major goal of STEM education. Although the relationship between students' stereotypical beliefs regarding STEM careers and their career interest can be reasonably hypothesized, research investigating the extent to which and how…
Descriptors: STEM Education, Beliefs, Stereotypes, Predictor Variables
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Kim, Sunae; Kristen-Antonow, Susanne; Sodian, Beate – International Journal of Behavioral Development, 2021
The metarepresentational aspect of early pretend play (make-believe activities where children create or participate in creating a new situation different from a real one) has been theoretically debated. In the present longitudinal study of N = 83 children, we tested for predictive relations of shared attention at 12-18 months, implicit false…
Descriptors: Play, Attention, Beliefs, Longitudinal Studies
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Bekkering, Ernst; Ward, Ted – Information Systems Education Journal, 2021
Student attendance in class, and participation while in class, are predictors of student performance. Last year, we reported on a new measure combining class attendance and attentiveness while in class and used this participation score as a predictor of student performance on the final exam in the class. This year, we follow up by analyzing data…
Descriptors: Student Participation, Academic Achievement, Grade Prediction, Attention Control
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Nieberding, Megan; Heckler, Andrew F. – Physical Review Physics Education Research, 2021
In this study we characterize student procrastination habits and investigate associations between these habits and student performance on graded course components, student beliefs about their own procrastination behavior, and gender. The procrastination habits of calculus-based introductory physics students are measured via the amount of time…
Descriptors: Assignments, Time Management, Gender Differences, Student Attitudes
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Sürücü, Abdullah – International Journal of Progressive Education, 2021
In this study, it was aimed to determine the predictive relationships between the incivility behaviors faced by guidance counselors and subjective well-being (SWB) and life-domain satisfaction. The design of the study was based on the relational survey model. The study group was selected using the disproportionate appropriate sampling method. A…
Descriptors: Correlation, Prediction, School Counselors, Antisocial Behavior
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Movchun, Vasily; Lushkov, Richard; Pronkin, Nikolay – Education and Information Technologies, 2021
The aim of the article is to study the prediction model of an individual learning style in e-learning systems to enhance the effectiveness of dentistry education. In developing the model, Neil Fleming's VARK concept of information perception was applied. The statistical data of the Russian Federal State Statistics Service on the students'…
Descriptors: Foreign Countries, Medical Students, Graduate Students, Dentistry
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Bianchi, Dora; Morelli, Mara; Baiocco, Roberto; Cattelino, Elena; Chirumbolo, Antonio – New Directions for Child and Adolescent Development, 2021
According to the triangular love theory, this study investigated the roles of three components of love (i.e., passion, intimacy, commitment) and the moderating role of conflicts in predicting different forms of sexting (i.e., experimental, nonconsensual, under pressure) in teen dating relationships. Participants were 409 adolescents (M[subscript…
Descriptors: Adolescents, Dating (Social), Prediction, Intimacy
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Chen, Cheng-Huan; Yang, Stephen J. H.; Weng, Jian-Xuan; Ogata, Hiroaki; Su, Chien-Yuan – Australasian Journal of Educational Technology, 2021
Providing early predictions of academic performance is necessary for identifying at-risk students and subsequently providing them with timely intervention for critical factors affecting their academic performance. Although e-book systems are often used to provide students with teaching/learning materials in university courses, seldom has research…
Descriptors: At Risk Students, Electronic Publishing, Student Behavior, Artificial Intelligence
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Jones, Angela; Markant, Douglas B.; Pachur, Thorsten; Gopnik, Alison; Ruggeri, Azzurra – Developmental Psychology, 2021
To successfully navigate an uncertain world, one has to learn the relationship between cues (e.g., wind speed, atmospheric pressure) and outcomes (e.g., rain). When learning, it is possible to actively manipulate the cue values to test hypotheses about this relationship directly. Across two studies, we investigated how 5- to 7-year-olds actively…
Descriptors: Young Children, Cues, Inferences, Child Behavior
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Stocco, Andrea; Prat, Chantel S.; Graham, Lauren K. – Cognitive Science, 2021
The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…
Descriptors: Individual Differences, Rewards, Abstract Reasoning, Problem Solving
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