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Mbouzao, Boniface; Desmarais, Michel C.; Shrier, Ian – International Educational Data Mining Society, 2020
Massive online Open Courses (MOOCs) make extensive use of videos. Students interact with them by pausing, seeking forward or backward, replaying segments, etc. We can reasonably assume that students have different patterns of video interactions, but it remains hard to compare student video interactions. Some methods were developed, such as Markov…
Descriptors: Comparative Analysis, Video Technology, Interaction, Measurement Techniques
Yanagiura, Takeshi – Community College Research Center, Teachers College, Columbia University, 2020
Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…
Descriptors: Community Colleges, Man Machine Systems, Artificial Intelligence, Prediction
Jonathon Glen Guthrie – ProQuest LLC, 2020
As college-bound high school seniors know, the ACT examination is possibly the single most important assessment students take during their academic careers. ACT scores can determine college entrance, scholarship dollars, and whether students will be placed in remedial courses. Parents pay large sums of money to prepare their children for this…
Descriptors: College Entrance Examinations, High School Students, Test Preparation, Scores
Samantha B. Thompson – ProQuest LLC, 2020
The purpose of this correlational study was to investigate if, and to what extent, a predictive relationship exists between the Symphony Math®? Benchmarker (SMB growth score) and the Georgia Milestones End-of-Grade Assessment in Math (EOG Assessment) scores and if the predictive relationship was moderated by academic designation (general or…
Descriptors: Prediction, Scores, Standardized Tests, Correlation
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Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
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Ustun, Ulas – International Journal of Science Education, 2023
This study examines the direct and indirect relationships between key motivational constructs and science achievement using TIMSS 2019 data sets for Japan, Norway, and the United States. The sample of the study includes 4,446 and 8,698 eighth graders in Japan and the United States, with 4,575 ninth graders in Norway. The structural equation model…
Descriptors: Self Concept, Prediction, Science Achievement, Cultural Differences
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Castroviejo, Elena; Hernández-Conde, José V.; Lazaridou-Chatzigoga, Dimitra; Ponciano, Marta; Vicente, Agustín – Language Learning and Development, 2023
This paper reports an experiment that investigates interpretive distinctions between two different expressions of generalization in Spanish. In particular, our aim was to find out when the distinction between generic statements (GS) such as "Tigers have stripes" and universally quantified statements (UQS) such as "All tigers have…
Descriptors: Spanish Speaking, Age Groups, Accuracy, Semantics
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Ihlenfeldt, Samuel Dale; Rios, Joseph A. – Language Testing, 2023
For institutions where English is the primary language of instruction, English assessments for admissions such as the Test of English as a Foreign Language (TOEFL) and International English Language Testing System (IELTS) give admissions decision-makers a sense of a student's skills in academic English. Despite this explicit purpose, these exams…
Descriptors: Meta Analysis, Test Validity, College Admission, Second Language Learning
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Jeno, Lucas M.; Nylehn, Jorun; Hole, Torstein N.; Raaheim, Arild; Velle, Gaute; Vandvik, Vigdis – Scandinavian Journal of Educational Research, 2023
Inadequate academic functioning among students might be a main cause of the considerable dropout rates, and well-being and achievement problems in higher education. Few studies address the role of motivation for academic functioning. Thus, using Self-Determination Theory, the main goal of this study was to investigate motivational determinants of…
Descriptors: Student Motivation, Biology, Science Education, Undergraduate Students
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Mazachowsky, Tessa R.; Atance, Cristina M.; Rutt, Joshua L.; Mahy, Caitlin E. V. – Journal of Cognition and Development, 2023
The ability to project oneself forward in time and imagine a future episode, known as episodic foresight (EpF), is an important aspect of future thinking. EpF tasks often involve children choosing an item for a future episode, yet the degree to which future projection is required to succeed -- versus memory or semantic associations -- has been…
Descriptors: Verbal Communication, Item Analysis, Memory, Semantics
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Franklin, Trisha D.; McCallum, R. Steve; Anderson, Lezli S.; Kirkpatrick, Baileigh A.; McCurdy, Merilee; Hassett, Natalie R.; Bell, Sherry M. – Preventing School Failure, 2023
Multiple regression data from a teacher-completed one-minute rating scale (i.e., the Brief Behavior, Academic, and Social Screener; B-BASS) predicted academic risk of 198 third- through fifth-grade rural elementary students; teacher ratings across 16 B-BASS items within cognitive, social/emotional, socioeconomic/family, and executive functions…
Descriptors: Screening Tests, At Risk Students, Grade 3, Grade 4
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Caylee J. Cook; Steven Howard; Gaia Scerif; Rhian Twine; Kathleen Kahn; Shane Norris; Catherine Draper – South African Journal of Childhood Education, 2023
Background: While there is now considerable evidence in support of a relationship between executive function (EF) and academic success, these findings almost uniformly derive from Western and high-income countries. Yet, recent findings from low- to -middle-income countries have suggested that patterns of EF and academic skills differ in these…
Descriptors: Executive Function, Preschool Children, Academic Ability, School Readiness
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Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
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Green, Cathrin D.; Thornton, Keely; Fredrick, Joseph W.; Wiggs, Kelsey K.; Smith, Zoe R.; Langberg, Joshua M.; Becker, Stephen P. – School Mental Health, 2023
A growing body of research demonstrates that school climate is associated with adolescent mental health. Much of the extant literature have focused on identifying risk factors for adverse mental health outcomes, whereas much less work has been done examining factors that are important to foster adolescents' strengths and thereby increase the…
Descriptors: Longitudinal Studies, Educational Environment, Prediction, Psychological Patterns
Craig Thorburn – ProQuest LLC, 2023
Language learners need to map a continuous, multidimensional acoustic signal to discrete abstract speech categories. The complexity of this mapping poses a difficult learning problem, particularly for second language learners who struggle to acquire the speech sounds of a non-native language, and almost never reach native-like ability. A common…
Descriptors: Second Language Learning, Second Language Instruction, Video Games, Acoustics
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