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Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
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Kumar, Abhilasha A.; Steyvers, Mark; Balota, David A. – Cognitive Science, 2021
Considerable work during the past two decades has focused on modeling the structure of semantic memory, although the performance of these models in complex and unconstrained semantic tasks remains relatively understudied. We introduce a two-player cooperative word game, Connector (based on the boardgame Codenames), and investigate whether…
Descriptors: Semantics, Recall (Psychology), Cooperative Learning, Game Based Learning
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Li, Christine Jie; Monroe, Martha C. – Environmental Education Research, 2019
Hope is an important component that helps engage people in solving problems. Environmental educational resources addressing climate change effectively should ideally nurture hope as well as increase understanding about the issue. However, hopefulness about resolving climate change challenges is a relatively new construct in the literature and…
Descriptors: Climate, Psychological Patterns, Environmental Education, High School Students
Tirado, Andrea; Shneyderman, Aleksandr – Research Services, Miami-Dade County Public Schools, 2020
This Research Brief describes a model developed as an alternative method for making ESOL exit decisions in 2019-2020. Given the cancellation of the 2019-2020 Statewide student assessment, FSA ELA results which are used as one of the two major components for making ESOL exit decisions will not be available, and an alternative method is needed. This…
Descriptors: English (Second Language), English Language Learners, Models, Decision Making
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Zheng, Guoguo; Fancsali, Stephen E.; Ritter, Steven; Berman, Susan R. – Journal of Learning Analytics, 2019
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…
Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores
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Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
McMahon, Brian M. – ProQuest LLC, 2018
Recent literature on high school graduation and drop out have shifted the focus from identifying causes of drop out to identifying students who are at risk of dropping out. The Early Warning Systems (EWS) used to identify students seek to use existing data to predict which students have a greater risk of dropping out of school so that schools can…
Descriptors: Predictor Variables, High School Graduates, At Risk Students, Dropout Prevention
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Splett, Joni W.; Trainor, Kathryn M.; Raborn, Anthony; Halliday-Boykins, Colleen A.; Garzona, Marlene E.; Dongo, Melissa D.; Weist, Mark D. – Behavioral Disorders, 2018
Despite schools increasingly adopting multitiered systems of support (MTSS) for prevention and intervention of mental health concerns, many are slow to adopt universal mental health screening (UMHS), a core MTSS feature, due to concerns about their limited capacity to meet the needs of all identified. In this study, we examined differences in the…
Descriptors: Comparative Analysis, Child Behavior, Rating Scales, Mental Health
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Johnson, Joel D.; Starobin, Soko S.; Santos Laanan, Frankie – Community College Journal of Research and Practice, 2016
This study confirmed appropriate measurement model fit for a theoretical model, the STEM (science, technology, engineering, and mathematics) vocational choice (STEM-VC) model. This model identified factors that successfully predicted a student's vocational choice decision to pursue a STEM degree for Latina/o and White community college students.…
Descriptors: Predictor Variables, Hispanic American Students, College Students, Two Year College Students
Brown, Chanda Denea – Online Submission, 2015
This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…
Descriptors: Models, Loan Default, Community Colleges, Undergraduate Students
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Nickelson, Jen; Bryant, Carol A.; McDermott, Robert J.; Buhi, Eric R.; DeBate, Rita D. – Journal of School Health, 2012
Background: The prevalence of obesity among high school students has risen in recent decades. Many high school students report trying to lose weight and some engage in disordered eating to do so. The obesity proneness model suggests that parents may influence their offspring's development of disordered eating. This study examined the viability of…
Descriptors: Obesity, Incidence, High School Students, Eating Disorders
Sun, Min; Loeb, Susanna; Grissom, Jason – Stanford Center for Education Policy Analysis, 2015
Student peer effects are well documented. We know far less, however, about peer effects among teachers. We hypothesize that a relatively effective teacher may positively affect the performance of their peers, while a relatively ineffective teacher may negatively impact the performance of other teachers with whom they work closely. Utilizing a…
Descriptors: Teacher Placement, Teacher Collaboration, Peer Influence, Teacher Effectiveness
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Duffy, Ryan D.; Bott, Elizabeth M.; Allan, Blake A.; Torrey, Carrie L. – Journal of Counseling Psychology, 2013
The present study examined a model of life satisfaction among a diverse sample of 184 adults who had been unemployed for an average of 10.60 months. Using the Lent (2004) model of life satisfaction as a framework, a model was tested with 5 hypothesized predictor variables: optimism, job search self-efficacy, job search support, job search…
Descriptors: Unemployment, Adults, Life Satisfaction, Models
Johnson, Joel D. – ProQuest LLC, 2013
This study confirmed appropriate measurement model fit for a theoretical model, the STEM vocational choice (STEM-VC) model. This model identifies exogenous factors that successfully predicted, at a statistically significant level, a student's vocational choice decision to pursue a STEM degree at transfer. The student population examined for this…
Descriptors: Career Choice, STEM Education, College Students, Hispanic American Students
Robertson, Mary Amos – ProQuest LLC, 2016
In order to change the direction of mathematics education, the training of elementary teachers in the United States needs to be of equal or higher quality than top preforming countries. However, pre-service elementary teachers in the United States fall behind their peers in other countries in mathematical content knowledge and mathematical…
Descriptors: Teacher Education Programs, Elementary School Teachers, Teacher Competencies, Teacher Qualifications
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