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Chien, Hsiang-Yu; Yeh, Yu-Chen; Kwok, Oi-Man – Online Learning, 2022
During the pandemic, online courses became the major delivery format for most institutions of higher learning across the United States and around the world. However, many students experienced emotional distress as a result and have struggled to adapt to remote learning. To explore how emotional distress relatesto other aspects of online learning,…
Descriptors: Electronic Learning, Learning Readiness, Prediction, Psychological Patterns
Micir, Ian; Swygert, Kimberly; D'Angelo, Jean – Journal of Applied Testing Technology, 2022
The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing…
Descriptors: Artificial Intelligence, Man Machine Systems, Accuracy, Efficiency
To, Carol Kit Sum; McLeod, Sharynne; Sam, Ka Lam; Law, Thomas – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The speech of some children does not follow a typical normalization trajectory, and they develop speech sound disorders (SSD). This study investigated predictive correlates of speech sound normalization in children who were at risk of SSD. Method: A prospective population cohort study of 845 Cantonese-speaking preschoolers was conducted…
Descriptors: Prediction, Intervention, Speech Impairments, Speech Therapy
Scheibe, Daniel A.; Fitzsimmons, Charles J.; Mielicki, Marta K.; Taber, Jennifer M.; Sidney, Pooja G.; Coifman, Karin; Thompson, Clarissa A. – Metacognition and Learning, 2022
The advent of COVID-19 highlighted widespread misconceptions regarding people's accuracy in interpreting quantitative health information. How do people judge whether they accurately answered health-related math problems? Which individual differences predict these item-by-item metacognitive monitoring judgments? How does a brief intervention…
Descriptors: COVID-19, Pandemics, Problem Solving, Prediction
Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Rosa, Claudio D.; Collado, Silvia; Larson, Lincoln R. – Journal of Environmental Education, 2022
The New Ecological Paradigm (NEP) scale adapted for use with children (NEP-C) is one of the most frequently used measures of children's environmental beliefs. Though widely utilized, the limitations of the NEP-C instrument are often overlooked. Based on a systematic synthesis of existing literature examining the NEP-C, we argue that the scale…
Descriptors: Attitude Measures, Children, Environment, Beliefs
Kushwaha, Tarun; Loya, Arpit; Jain, Prayatna; Kukrety, Deepti Bajpai – Marketing Education Review, 2022
Sales management students carry certain misconceptions about sales jobs, which often create confusion in their minds about the nature of the sales job- should they be customer-oriented or sales-oriented? To excel in the initial years of their careers as effective salespersons, students might emphasize sales-orientation or target achievement over…
Descriptors: Business Administration Education, Sales Occupations, Gender Differences, Salesmanship
Vogl, Tom – National Bureau of Economic Research, 2022
Sub-Saharan Africa exhibits higher fertility and lower education than other world regions. Economic and demographic theory posit that these phenomena are linked, with slow fertility decline connected to slow education growth among both adults and children. Using microdata from 33 African countries, this paper documents the co-evolution of adult…
Descriptors: Birth Rate, Educational Attainment, Adult Education, Females
Davison, Mark L.; Davenport, Ernest C., Jr.; Jia, Hao; Seipel, Ben; Carlson, Sarah E. – Grantee Submission, 2022
A regression model of predictor trade-offs is described. Each regression parameter equals the expected change in Y obtained by trading 1 point from one predictor to a second predictor. The model applies to predictor variables that sum to a constant T for all observations; for example, proportions summing to T=1.0 or percentages summing to T=100…
Descriptors: Regression (Statistics), Prediction, Predictor Variables, Models
Lipscomb, Stephen; Chaplin, Duncan; Vigil, Alma; Matthias, Hena – Mathematica, 2022
Proficiency rates on Pennsylvania's statewide assessments in 2022 remain below pre-pandemic levels, especially in math, but there is evidence that student learning has begun to recover. Proficiency rates for grades 5-8 in 2022 improved in both English language arts (ELA) and math relative to rates predicted for 2021 from a Mathematica research…
Descriptors: Academic Achievement, Language Arts, Mathematics Achievement, Elementary School Students
Edward James Barton – ProQuest LLC, 2022
The findings of this study suggest that while the FRR score provides a reasonable indication of financial fragility over a subsequent five-year period, the FRR score is little better than a coin flip in predicting whether a religiously affiliated higher education institution will be financially troubled enough to close within the subsequent five…
Descriptors: Higher Education, Failure, Educational Finance, Financial Problems
Khalid Oqaidi; Sarah Aouhassi; Khalifa Mansouri – International Association for Development of the Information Society, 2022
The dropout of students is one of the major obstacles that ruin the improvement of higher education quality. To facilitate the study of students' dropout in Moroccan universities, this paper aims to establish a clustering approach model based on machine learning algorithms to determine Moroccan universities categories. Our objective in this…
Descriptors: Models, Prediction, Dropouts, Learning Analytics
Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
Prempree Duangpummet; Supan Yodyingyong; Pirom Chenprakhon – Journal of Chemical Education, 2022
A simple inquiry-based activity called "Fruit Puzzle" was designed to investigate high school students' understanding of the relationship between the concepts of density and solution concentration at a submicroscopic level. The first activity allowed students to predict whether five types of fruit would sink or float in water and asked…
Descriptors: Puzzles, Active Learning, Inquiry, Scientific Concepts
James Joseph Slizewski – ProQuest LLC, 2022
The purpose of the study was to investigate if commonly collected data correlates with student success at week eight of the first term for first time, full time, students. This is an ex-post facto study of student data. A Spearman's rho test was used to analyze the data for correlational analysis to determine if variables contained within…
Descriptors: Academic Achievement, Grade Point Average, Learner Engagement, Data

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