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Xiao Wen; Hu Juan – Interactive Learning Environments, 2024
To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…
Descriptors: MOOCs, Dropouts, Dropout Characteristics, Dropout Research
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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
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Akdemir, Ahmet Selçuk – Shanlax International Journal of Education, 2021
Willingness to communicate (WTC), a recent affective construct of SLA research, has experienced a paradigm shift regarding its nature. Current WTC research tends to define it as a dynamic and context-bound structure rather being in a linear and static disposition. New conceptualization is based on Complex Dynamic System (CDS) theory. This theory…
Descriptors: Interpersonal Communication, Second Language Learning, Language Skills, Attitudes
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Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Education and Information Technologies, 2020
Recently, tracking student behavior has become a very important phase for constructing adaptive educational systems. Several researchers have developed various methods based on machine learning for better tracing students' knowledge. Most of these methods have shown an effective estimation of student features and an accurate prediction of future…
Descriptors: Scaffolding (Teaching Technique), Predictor Variables, Student Behavior, Academic Achievement
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Soland, James; Domingue, Benjamin; Lang, David – Teachers College Record, 2020
Background/Context: Early warning indicators (EWI) are often used by states and districts to identify students who are not on track to finish high school, and provide supports/interventions to increase the odds the student will graduate. While EWI are diverse in terms of the academic behaviors they capture, research suggests that indicators like…
Descriptors: Identification, At Risk Students, Potential Dropouts, High School Students
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Fernández, Estrella; García, Trinidad; Gómez, Cristina; Areces, Débora; Rodríguez, Celestino – Electronic Journal of Research in Educational Psychology, 2019
Introduction: Further inquiry into constructs such as creativity, intelligence and scholastic abilities, and understanding how they relate to each other, can promote better understanding of the variables involved in academic achievement. Consequently, the objective of the present study was to examine the predictive value of creativity and multiple…
Descriptors: Foreign Countries, Creativity, Multiple Intelligences, Predictor Variables
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Almuhammadi, Anas – English Language Teaching, 2017
This paper explores the professional development literature in the educational setting. The different literature pieces are aligned to a framework that requires effective professional development to focus on three concepts: content, context, and process. The content focuses on the "what" question in the programs while the context aims to…
Descriptors: Literature Reviews, Models, Faculty Development, Program Content
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Costa-Giomi, Eugenia – Update: Applications of Research in Music Education, 2015
This article reviews research on the effects of music instruction on general cognitive abilities. The review of more than 75 reports shows (1) the consistency in results pertaining to the short-term effects of music instruction on cognitive abilities and the lack of clear evidence on the long-term effects on intelligence; (2) the complex nature of…
Descriptors: Music, Music Education, Cognitive Ability, Intelligence
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Kaat, Aaron J.; Lecavalier, Luc – Journal of Autism and Developmental Disorders, 2015
Autism spectrum disorder (ASD) and anxiety frequently co-occur. Research on the phenomenology and treatment of anxiety in ASD is expanding, but is hampered by the lack of instruments validated for this population. This study evaluated the self- and parent-reported Revised Child Anxiety and Depression Scale and the Multidimensional Anxiety Scale in…
Descriptors: Autism, Pervasive Developmental Disorders, Anxiety, Youth
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Kauffman, Heather – Research in Learning Technology, 2015
Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined…
Descriptors: Electronic Learning, Predictor Variables, Academic Achievement, Success
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Danner, Daniel; Hagemann, Dirk; Schankin, Andrea; Hager, Marieke; Funke, Joachim – Intelligence, 2011
The present study investigated cognitive performance measures beyond IQ. In particular, we investigated the psychometric properties of dynamic decision making variables and implicit learning variables and their relation with general intelligence and professional success. N = 173 employees from different companies and occupational groups completed…
Descriptors: Decision Making, Learning, Intelligence, Employees
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Ziegler, Matthias; Knogler, Maximilian; Buhner, Markus – Learning and Individual Differences, 2009
Studies on the interface between cognitive ability (intelligence) and personality in the prediction of academic performance have yielded mixed results so far. Especially an interaction between conscientiousness (and its facet achievement striving) and intelligence has been investigated. The hypothesis is that conscientiousness enhances the impact…
Descriptors: Intelligence, Academic Achievement, Intelligence Tests, Program Effectiveness
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Shelton, Jill T.; Elliott, Emily M.; Hill, B. D.; Calamia, Matthew R.; Gouvier, Drew – Intelligence, 2009
The working memory (WM) construct is conceptualized similarly across domains of psychology, yet the methods used to measure WM function vary widely. The present study examined the relationship between WM measures used in the laboratory and those used in applied settings. A large sample of undergraduates completed three laboratory-based WM measures…
Descriptors: Short Term Memory, Intelligence, Intelligence Tests, Undergraduate Students
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Protopapas, Athanassios; Mouzaki, Angeliki; Sideridis, Georgios D.; Kotsolakou, Areti; Simos, Panagiotis G. – Reading & Writing Quarterly, 2013
The simple view of reading posits that reading comprehension can be decomposed into a print-specific component (concerning decoding and sight word reading) and a language comprehension component (concerning verbal and metalinguistic skills not related to print). One might properly consider lexical skills, indexed by vocabulary measures, part of…
Descriptors: Vocabulary, Reading Skills, Reading Comprehension, Decoding (Reading)
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Misyak, Jennifer B.; Christiansen, Morten H. – Language Learning, 2012
Although statistical learning and language have been assumed to be intertwined, this theoretical presupposition has rarely been tested empirically. The present study investigates the relationship between statistical learning and language using a within-subject design embedded in an individual-differences framework. Participants were administered…
Descriptors: Comprehension, Sentences, Short Term Memory, Statistics
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