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Ionita, Remus Florentin; Dascalu, Mihai; Corlatescu, Dragos-Georgian; McNamara, Danielle S – Grantee Submission, 2021
Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from…
Descriptors: Prediction, Learning Analytics, Authors, Network Analysis
Bosede Ozavogu Airhia – ProQuest LLC, 2021
This study presents an examination of the relationship and predictability of selected socio-personal, job-related, and school-related factors on the level of financial support by alumni at an historically black college and university (HBCU). In this study, the researcher specifically examined the predictive power of socio-personal, job-related,…
Descriptors: Alumni, Black Colleges, Financial Support, Relationship
Verger, Mélina; Lallé, Sébastien; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2023
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against some students and possible harmful long-term…
Descriptors: Prediction, Models, Student Behavior, Academic Achievement
Kucker, Sarah C.; Braun, Blair E.; Markham-Anderson, Jessica F. – Child Development, 2023
Children's ability to recognize object shape is foundational for successful early word learning. However, the prototypical shape of objects may not be easily accessible--take margarita glasses, for instance. The current study examined 304 U.S. children 17- to 42-month-old (152 females) from 2017 to 2020, asking how shape, age, and vocabulary…
Descriptors: Vocabulary Development, Infants, Toddlers, Physical Characteristics
Olivier, Elizabeth; Morin, Alexandre J. S.; Leo, Victoria; Salmela-Aro, Katariina – Journal of Educational Psychology, 2023
This study seeks to identify profiles of depressive symptoms trajectories among a sample of 2,696 Finnish students (56.8% female), followed from 13-14 to 18-19 years old. Piecewise growth mixture analyses identified 5 trajectories: Low Stabilizing (6.20%), Mild Increasing (47.90%), Moderate Stabilizing (36.82%), Low Increasing (3.62%), and High…
Descriptors: Foreign Countries, Adolescents, Young Adults, Depression (Psychology)
Akça, Figen; Günçavdi Alabay, Gizem – International Journal of Education and Literacy Studies, 2023
Perception of self-efficacy is the judgment of ability, while self-esteem is judgment about self-worth (Bandura, 1993). Self-efficacy beliefs play a key role in shaping one's life by influencing the environment and activities in which a person wishes to enter. This study tests the relationship between the personal values of adolescents and their…
Descriptors: Adolescents, Self Efficacy, High School Students, Student Attitudes
Grigoropoulos, Iraklis – Contemporary School Psychology, 2023
Educators have a critical role in enhancing children's play interests within the classroom by determining the actions and context of their play. This study examined personal and professional characteristics associated with educators' self-reported play engagement preferences using a sample of Greek early childhood educators. One hundred…
Descriptors: Preschool Teachers, Play, Foreign Countries, Preschool Education
Wang, Ling Ling; Jian, Sun Xiao; Liu, Yan Lou; Xin, Tao – Applied Measurement in Education, 2023
Cognitive diagnostic assessment based on Bayesian networks (BN) is developed in this paper to evaluate student understanding of the physical concept of buoyancy. we propose a three-order granular-hierarchy BN model which accounts for both fine-grained attributes and high-level proficiencies. Conditional independence in the BN structure is tested…
Descriptors: Bayesian Statistics, Networks, Cognitive Measurement, Diagnostic Tests
Gellert, Anna S. – Language, Speech, and Hearing Services in Schools, 2023
Purpose: The first purpose of this study was to investigate how children's knowledge of taught words and transfer words assessed 10 months after a morphological vocabulary intervention can be predicted by means of language measures taken before the intervention. The second purpose was to investigate whether and how immediate post-intervention…
Descriptors: Vocabulary, Vocabulary Development, Morphology (Languages), Intervention
Bezek Güre, Özlem; Sevgin, Hikmet; Kayri, Murat – International Journal of Contemporary Educational Research, 2023
The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…
Descriptors: Achievement Tests, International Assessment, Secondary School Students, Foreign Countries
das Virgens Chagas, Daniel; Hesketh, Kylie; Downing, Katherine; Mohebbi, Mohammadreza; Barnett, Lisa M. – Journal of Motor Learning and Development, 2023
Background: Understanding how or whether sedentary behavior affects motor competence in young children is important considering that children spend a lot of time sedentary. The aim of this study was to examine whether sedentary behavior predicts motor competence in young children. Methods: A longitudinal study with a total of 372 children aged 3.5…
Descriptors: Young Children, Physical Activity Level, Child Behavior, Psychomotor Skills
Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
Samsudin, Achmad – International Journal of Technology in Education and Science, 2023
The purpose of this study is to analyze the mental model of improvement and changes on light wave concepts with Conceptual Change based on Virtual Media (CC-VM) x POE strategy. The method used is mixed methods with embedded design. The sample consisted of 30 students (with an age range of 16-17 years) in one of the schools in Subang, Indonesia.…
Descriptors: Foreign Countries, Concept Formation, Schemata (Cognition), Computer Simulation
Caspari-Sadeghi, Sima – Cogent Education, 2023
Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…
Descriptors: Learning Analytics, Data Analysis, Higher Education, Feedback (Response)
Deho, Oscar Blessed; Joksimovic, Srecko; Li, Jiuyong; Zhan, Chen; Liu, Jixue; Liu, Lin – IEEE Transactions on Learning Technologies, 2023
Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…
Descriptors: Learning Analytics, Models, Student Records, Prediction

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