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Halverson, Lisa R.; Graham, Charles R. – Online Learning, 2019
Learner engagement correlates with important educational outcomes, including academic achievement and satisfaction. Although research is already exploring learner engagement in blended contexts, no theoretical framework guides inquiry or practice, and little consistency or specificity exists in engagement definitions and operationalizations.…
Descriptors: Learner Engagement, Blended Learning, Definitions, Models
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Connolly, Michael; James, Chris; Fertig, Michael – Educational Management Administration & Leadership, 2019
Educational management and educational leadership are central concepts in understanding organising in educational institutions but their meaning, the difference between them and their value in educational organising remain the subject of debate. In this article, we analyse and contrast the two concepts. We conclude that educational management…
Descriptors: Differences, Educational Administration, Instructional Leadership, Educational Responsibility
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Lancaster, Hope S.; Camarata, Stephen – International Journal of Language & Communication Disorders, 2019
Background: There is considerable variability in the presentation of developmental language disorder (DLD). Disagreement amongst professionals about how to characterize and interpret the variability complicates both the research on understanding the nature of DLD and the best clinical framework for diagnosing and treating children with DLD. We…
Descriptors: Language Impairments, Bayesian Statistics, Individual Differences, Pervasive Developmental Disorders
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Tinkler, Alan; Tinkler, Barri – Curriculum and Teaching Dialogue, 2019
Because school reform spans so many dimensions, it is helpful to employ a framework that makes visible the complexity of the system. This conceptual essay uses the ecological frameworks of Elliot Eisner and Bruce Uhrmacher to define a comprehensive school remodeling effort in two diverse, high-poverty high schools in Vermont. The authors posit…
Descriptors: Educational Change, High Schools, Holistic Approach, Equal Education
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Upmeier zu Belzen, Annette; Alonzo, Alicia C.; Krell, Moritz; Krüger, Dirk – Contributions from Science Education Research, 2019
This chapter contributes to ongoing debates about approaches to modeling student learning. By providing a basis for individual diagnoses, such models can foster teaching that is responsive to students' learning needs. In addition, these models can inform the development of standards and curricula and advance theory and research about student…
Descriptors: Learning Processes, Models, Science Education, Foreign Countries
Nall, La Keshia Lynn – ProQuest LLC, 2019
The ability to effectively manage learning design projects, consult with stakeholders (such as sponsors, subject matter experts, and learners), and direct projects to completion is a vital part of an instructional designer's role. Although the need for project management education and experience is reiterated in the literature and in…
Descriptors: Instructional Design, Program Administration, Best Practices, Models
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Ding, Xinyi; Larson, Eric C. – International Educational Data Mining Society, 2019
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Skills
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Sunahase, Takeru; Baba, Yukino; Kashima, Hisashi – International Educational Data Mining Society, 2019
Peer assessment is a promising solution for scaling up the grading of a large number of submissions. The reliability of evaluations is one of the critical issues in peer assessment; several probabilistic models have been proposed for obtaining reliable grades from peers. Peer correction is a similar framework, in which students are instructed to…
Descriptors: Peer Evaluation, Error Correction, Grading, Reliability
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Moore, Russell; Caines, Andrew; Elliott, Mark; Zaidi, Ahmed; Rice, Andrew; Buttery, Paula – International Educational Data Mining Society, 2019
Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…
Descriptors: Models, Knowledge Representation, Skills, Artificial Intelligence
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Onoue, Akira; Shimada, Atsushi; Minematsu, Tsubasa; Taniguchi, Rin-Ichiro – International Association for Development of the Information Society, 2019
This study aimed to cluster learners based on the structures of the knowledge maps they created. Learners drew their own knowledge maps to reflect their learning activities. Our system collected individual knowledge maps from many learners and clustered them to generate an integrated version of the knowledge maps of each cluster. We applied the…
Descriptors: Concept Mapping, Learning Processes, Cluster Grouping, Graphs
Steiner, Peter M.; Wong, Vivian C.; Anglin, Kylie – Grantee Submission, 2019
Replication has long been a cornerstone for establishing trustworthy scientific results, but there remains considerable disagreement about what constitutes as a replication, how results from these studies should be interpreted, and whether direct replication of results is even possible. This article addresses these concerns by presenting the…
Descriptors: Replication (Evaluation), Scientific Research, Research Methodology, Research Design
OECD Publishing, 2019
Just as a compass orients a traveller, the OECD Learning Compass 2030 indicates the knowledge, skills, attitudes, and values students need not just to weather the changes in our environment and in our daily lives, but to help shape the future. The Learning Compass 2030 is composed of seven elements: (1) core foundations; (2) transformative…
Descriptors: Learning Processes, Models, Intention, Expectation
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Maria Psyridou; Tuire Koponen; Asko Tolvanen; Kaisa Aunola; Marja-Kristiina Lerkkanen; Anna-Maija Poikkeus; Minna Torppa – Journal of Educational Psychology, 2024
The early prediction of math difficulties (MD) is important as it facilitates timely support. MD are multifaceted, and several factors are involved in their manifestation. This makes the accurate early prediction of MD particularly challenging. In the present study, we aim to predict MD in Grade 6 with kindergarten-age (age 6) measures by applying…
Descriptors: Mathematics Achievement, Kindergarten, Young Children, Grade 6
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Akiko Kaizu; Munehisa Tamaki – Journal of Research in Childhood Education, 2024
This longitudinal study examined the effectiveness of a progress monitoring method, namely the Multilayer Instruction Model-Progress Monitoring (MIM-PM), which is a word reading fluency measure. It was used from 1st grade onward to predict the overall reading achievement of students in elementary school by tracking their reading achievement over…
Descriptors: Foreign Countries, Elementary School Students, Grade 2, Grade 4
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Diana L. Abarca; Mollie Romano; Estrella Rodriguez – Topics in Early Childhood Special Education, 2024
Latin American families' history and life experiences impact the priorities and values the families have for their children with disabilities. It may be beneficial for early intervention (EI) providers to explore and integrate Latin American families' backgrounds to improve EI services. We completed a qualitative interview study using a collective…
Descriptors: Mother Attitudes, Hispanic Americans, Cultural Background, Coaching (Performance)
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