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Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis; Mat Raffei, Anis Farihan; A_L Eh Phon, Danakorn Nincarean; Abdullah, Aziman; Leong Ming, Gan; A. Shukor, Nurbiha; Shukri Nordin, Mohd; Baba, Suria – International Journal of Information and Learning Technology, 2020
Purpose: Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned…
Descriptors: Blended Learning, Predictor Variables, College Students, Student Attitudes
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Cui, Ying; Chen, Fu; Shiri, Ali – Information and Learning Sciences, 2020
Purpose: This study aims to investigate the feasibility of developing general predictive models for using the learning management system (LMS) data to predict student performances in various courses. The authors focused on examining three practical but important questions: are there a common set of student activity variables that predict student…
Descriptors: Foreign Countries, Identification, At Risk Students, Prediction
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DiGiacomo, Daniela K.; Van Horne, Katie; Penuel, William R. – Information and Learning Sciences, 2020
Purpose: Empirical investigation into the e-learning innovation, FUSE Studios, is both timely and relevant because FUSE is rapidly expanding domestically and abroad and there is continued interest in the interdisciplinary fields of information and learning sciences in the constructs of choice and interest as they relate to the provision and design…
Descriptors: Educational Environment, Electronic Learning, Educational Innovation, STEM Education
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Robinson, Heather; Al-Freih, Maha; Kilgore, Whitney – International Journal of Information and Learning Technology, 2020
Purpose: The purpose of this study was to explore how care theory and the ethics of care are explained by students in the online environment to clarify the factors that are more relevant in establishing and maintaining caring relations in online learning context. Design/methodology/approach: Utilizing naturalistic inquiry, the researchers…
Descriptors: Instructional Design, Caring, Models, Online Courses
Bruinsma, Yvonne E. M., Ed.; Minjarez, Mendy B., Ed.; Schreibman, Laura, Ed.; Stahmer, Aubyn C., Ed. – Brookes Publishing Company, 2020
Rooted in both ABA and developmental theory, Naturalistic Developmental Behavioral Interventions (NDBI) are some of today's most effective, evidence-based, and widely used interventions for autism spectrum disorder. Prepare tomorrow's autism professionals for success in the field with this graduate-level textbook, the first comprehensive…
Descriptors: Autism, Pervasive Developmental Disorders, Behavior Modification, Intervention
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Philip, Thomas M.; Brown, Anthony L. – National Education Policy Center, 2020
There is a near unanimity among researchers and practitioners about the need to recruit and retain more teachers of color. Diversification of the teaching ranks has clear benefits. This brief contends that the push for diversifying the teaching force must be scrutinized within the context of larger patterns and structures of racial injustice, and…
Descriptors: Minority Group Teachers, Teacher Recruitment, Teacher Persistence, Diversity (Faculty)
Cowan, James; Goldhaber, Dan; Jin, Zeyu; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
We use teacher candidate test scores on the Massachusetts Tests for Educator Licensure (MTEL), linked to student and teacher outcomes in the state, to investigate the predictive validity of these teacher licensure tests. We find that MTEL scores are positive and statistically significant predictors of teachers' in-service performance ratings and…
Descriptors: Licensing Examinations (Professions), Teacher Certification, Predictive Validity, Teacher Effectiveness
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Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
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Lee, Ji-Yeon; Lee, Eunbae; Kang, Jihye – AERA Online Paper Repository, 2020
This study proposes a strategic model that schools can adapt their goals and pace of innovation to meet different needs and challenges in their school settings. Based on literature review, field visits, one-on-one and focus group interviews with primary and secondary school teachers and principals, and expert consultations, the model consists of…
Descriptors: Foreign Countries, Models, Educational Change, Educational Innovation
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Huber, Stephan Gerhard – AERA Online Paper Repository, 2020
This paper explores school development processes in four schools in challenging circumstances. These schools were selected from a sample of schools in a longitudinal mixed-method study over a five-year period of around 100 schools using a typology of different models of change over time. The paper presents first selected findings from the overall…
Descriptors: School Turnaround, Educational Change, Educational Development, Classification
Radecki, Jane – ITHAKA S+R, 2020
Budgets do not only pay the costs of activities. They also reveal the ambitions and limitations of an organization. The opportunities presented in a budget are also bounded by the structural elements used by that institution: how costs and revenues are organized, how overhead is calculated and apportioned, and how assets and investments are…
Descriptors: Budgets, Models, Costs, Research Universities
Ghahremani, Mehdi – ProQuest LLC, 2020
This thesis is an article-based (3-paper format) dissertation. In the first article, the research team adapted an input-process-outcome (IPO) model of group-level processes in the classroom, as a theoretical framework, to examine students' experiences regarding pre-college engineering curricula, classroom environments, and their experiences with…
Descriptors: Creativity, Design, Elementary Secondary Education, Engineering Education
Wallon, Robert C. – ProQuest LLC, 2020
There has been recent interest in how the body can be used as a resource for learning challenging concepts in science and mathematics. This dissertation contributes to this conversation in the literature by focusing on a learning environment that engages students in using their bodies as a resource for learning a particularly challenging science…
Descriptors: Astronomy, Science Education, Human Body, Nonverbal Communication
Chandra Hawley Orrill; Yasemin Copur-Gencturk; Allan Cohen; Jonathan Templin – Grantee Submission, 2020
In this paper, we focus on the design of assessments of mathematics teachers' knowledge by emphasizing the importance of identifying the purpose for the assessment, defining the specific construct to be measured, and considering the affordances of particular psychometric models on the development of assessments as well as how they are able to…
Descriptors: Test Construction, Mathematics Teachers, Knowledge Level, Teacher Evaluation
Shafee Mohammed – ProQuest LLC, 2020
Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…
Descriptors: Prediction, Short Term Memory, Blended Learning, Student Behavior
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