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Ayad Saknee – ProQuest LLC, 2024
Higher education institutes experience lower success rates in online learning environments compared to traditional learning. Students' engagement within the learning management system (LMS) is one of the main factors affecting students' academic performance and retention. This quantitative correlational-predictive study examined if, and to what…
Descriptors: Learning Management Systems, Academic Achievement, Predictive Validity, Learner Engagement
Peer reviewedJamie Heng-Chieh Wu; Hope O. Akaeze; Laurie A. Van Egeren – Dimensions of Early Childhood, 2024
The need for valid and reliable ways to assess developmental outcomes of preschool children becomes continually more acute as public investments in preschool education grow, with corresponding pressure for programs to demonstrate their ability to influence child outcomes. The authors conducted studies of one assessment widely used in Head Start…
Descriptors: Child Development, Preschool Children, Preschools, Preschool Education
Wilson, Jahnette; Brower, Sam; Edgar, Teresa; Thompson, Amber; Culpepper, Shea – International Journal of Adult Education and Technology, 2020
Accountability and rigor in teacher education have been the focus of recent policy initiatives. Thus, data use practices have become increasingly critical to informing program improvement. Educational researchers have established self-study as a research methodology to intentionally be used by teacher educators to improve their practice. The…
Descriptors: Qualitative Research, Inquiry, Data Use, Teacher Education Programs
Hung, Jeng-Fung; Tsai, Chun-Yen – Journal of Baltic Science Education, 2020
Previous studies on the effectiveness of virtual laboratories for learning have shown inconsistent results over the past decade. The purpose of this research was to explore the effects of a virtual laboratory and meta-cognitive scaffolding on students' data modeling competences. A quasi-experimental design was used. Three classes of eighth graders…
Descriptors: Metacognition, Computer Simulation, Comparative Analysis, Science Laboratories
Chikwe, Moses; Cooper, Robert – Journal of Educational Leadership and Policy Studies, 2020
This qualitative phenomenological study explored how 19 school leaders in seven California comprehensive high schools were making sense of data and using data to transform their schools by closing achievement gap for historically underrepresented students. Data is a powerful tool in the hands of school leaders to transform patterns of inequality…
Descriptors: School Administration, Social Justice, Equal Education, Data Use
Lin, Van-Kim; Crowne, Sarah – Early Childhood Data Collaborative, 2020
Home visiting programs typically collect sensitive information about family characteristics, risk factors, and services received. States may choose to integrate these data with other early childhood data to learn more about the reach and effectiveness of the services and supports that families receive. As more states begin to integrate data across…
Descriptors: Home Visits, Privacy, Information Security, Data Collection
Altinay, Fahriye, Ed. – IntechOpen, 2020
This book has three sections on the role of technology in education. The first section covers the merits of online learning and environment. The second section of the book gives insight on new technologies in learning and teaching. The third section of the book underlines the importance of new tendencies for the technology in education. There is a…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Electronic Learning
Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
Kohe, Geoffery Z.; Purdy, Laura G. – Sport, Education and Society, 2019
The proliferation of sports science and technological innovation within performance settings has precipitated the generation of increasing volumes of data to aid athletes. Copious data production has also perpetuated the privileging of scientific information, and a 'thirst' for 'more data' as an unproblematic 'truth'. Of significance is not merely…
Descriptors: Data Analysis, Data Use, Athletes, Athletics
Williamson, Ben – British Journal of Educational Technology, 2019
Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Data Analysis
Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
Zhang, Zheng; Nagle, Joelle; McKishnie, Bethany; Lin, Zhen; Li, Wanjing – Pedagogies: An International Journal, 2019
This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…
Descriptors: Multiple Literacies, Educational Research, Data Collection, Data Analysis
Conley, Kathleen M.; Horner, Robert H.; McIntosh, Kent – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
A core feature of Positive Behavioral Interventions and Supports (PBIS) is the collection, summary, and use of data for iterative decision-making. The initial design of support and the adaptations that make behavior support match cultural, organizational, and personal needs require that a support team have functional information to guide…
Descriptors: Positive Behavior Supports, Elementary School Students, Decision Making, Progress Monitoring
Huie, Stephanie Bond; Troutman, David R. – Institute for Higher Education Policy, 2019
Accurate, timely data on student outcomes and post-graduate earnings is a critical piece of any state effort to close equity gaps in college access and success, boost attainment statewide, and strategically align education and workforce goals. Unfortunately, in the absence of a federal student-level data network, states and other key stakeholders…
Descriptors: Universities, Government School Relationship, Partnerships in Education, Data Collection
Chelsea Hetherington; Cheryl Eschbach; Courtney Cuthbertson – Journal of Human Sciences & Extension, 2019
Evaluation capacity building (ECB) is an essential element for generating credible and actionable evidence on Extension programs. This paper offers a discussion of ECB efforts in Cooperative Extension and how such efforts enable Extension professionals to collect and use credible and actionable evidence on the quality and impacts of programs.…
Descriptors: Cooperative Education, Extension Education, Capacity Building, Program Evaluation

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