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Jacquelynne S. Eccles; Allan Wigfield – Educational Psychology Review, 2024
To address the seven guiding questions posed for authors of articles in this special issue, we begin by discussing the development (in the late 1970s-early 1980s) of Eccles' expectancy-value theory of achievement choice (EEVT), a theory developed to explain the cultural phenomenon of why girls were less likely to participate in STEM courses and…
Descriptors: Educational Theories, Academic Achievement, Females, Student Participation
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Katherine E. Castellano; Daniel F. McCaffrey; Joseph A. Martineau – Educational Measurement: Issues and Practice, 2025
Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…
Descriptors: Student Evaluation, Growth Models, Student Educational Objectives, Educational Indicators
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José M. Ortiz-Lozano; Pilar Aparicio-Chueca; Xavier M. Triadó-Ivern; Jose Luis Arroyo-Barrigüete – Studies in Higher Education, 2024
Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…
Descriptors: Dropouts, Predictor Variables, Social Sciences, Law Students
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Bakker, Theo; Krabbendam, Lydia; Bhulai, Sandjai; Meeter, Martijn; Begeer, Sander – Autism: The International Journal of Research and Practice, 2023
Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N = 101) in comparison to students with other health conditions (N = 2465) and students with no health conditions (N = 25,077). We…
Descriptors: Predictor Variables, Academic Achievement, Autism Spectrum Disorders, Models
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Anthonysamy, Lilian – Cogent Education, 2023
The primary objective of this paper is twofold; firstly, to analyse the relationship between metacognitive strategies and learning performance. Secondly, a new mediator is proposed, namely digital literacy. Mental resilience is an omnitemporal skill that enables individuals to gain resilience thinking to successfully adapt to life tasks. Although…
Descriptors: Resilience (Psychology), Metacognition, Outcomes of Education, Academic Achievement
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Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
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Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
Caesar Jude Clemente – ProQuest LLC, 2023
Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…
Descriptors: Artificial Intelligence, Prediction, Models, Information Technology
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Toby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models
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Jeffrey R. Gagne; Kaelyn Barker; Chi-Ning Chang; Raashi Sangwan; Yingying Zhao; Fanyi Yu; Oi-Man Kwok – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2024
Early emerging executive functioning is associated with important emotional, social, and academic outcomes, including academic competence in elementary school. Employing a family study design, the current study investigated preschoolers' executive functioning and receptive vocabulary knowledge, maternal depression and anxiety measured when the…
Descriptors: Preschool Children, Elementary School Students, Mothers, Parent Influence
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Putwain, David W.; Wood, Peter; Pekrun, Reinhard – Journal of Educational Psychology, 2022
Control-value theory proposes that achievement emotions impact achievement, and that achievement outcomes (i.e., success and failure) reciprocally influence the development of achievement emotions. Academic buoyancy is an adaptive response to minor academic adversity, and might, therefore, offer protection from achievement being undermined by…
Descriptors: Academic Achievement, Psychological Patterns, Emotional Response, Mathematics Tests
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Khurshid, Shabana; Amin, Faseeh; Masoodi, Nayera; Khan, Mohammad Furqan – International Journal of Learning Technology, 2023
This work has investigated the relationship between SM use and its four antecedents, i.e., perceived interactivity, perceived usefulness, perceived ease of use and perceived enjoyment. Moreover, it has also examined the association of SM use with its outcome variables, i.e., active learning, creativity and collaborative learning, leading to…
Descriptors: Electronic Learning, Social Media, Interaction, Usability
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Nathan Mentzer; Elnara Mammadova; Adrie Koehler; Lakshmy Mohandas; Shawn Farrington – Educational Technology Research and Development, 2025
During COVID, HyFlex gained popularity and became a "new normal" that educators need to consider as an effective instructional approach. Previous research offers conflicting findings related to the impact of HyFlex instruction on students' basic psychological needs and academic performance. Our investigation provides insight into a…
Descriptors: Psychological Needs, Academic Achievement, Pandemics, COVID-19
Findlater, Nickcoy – ProQuest LLC, 2022
The gap in supply (i.e., shortage) and demand of the STEM workforce have prompted extensive research on identifying factors that predict STEM outcomes and retention of students. Few studies, however, have examined the relationships between STEM outcomes and predictors in an integrated model, taking into account measurement errors in the…
Descriptors: STEM Education, College Freshmen, Academic Achievement, School Holding Power
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Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies
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