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Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary on the Focus Article, "Interpretational Confounding or Confounded Interpretations of Causal Indicators?" and a commentary that was published in issue 12(4) 2014 of "Measurement: Interdisciplinary Research & Perspectives". The authors challenge two claims: (a) Bainter and Bollen argue that the…
Descriptors: Causal Models, Measurement, Data Interpretation, Structural Equation Models
Rankin, Jenny Grant – Online Submission, 2015
Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…
Descriptors: Data, Information Utilization, Relevance (Education), Data Interpretation
Figueiredo, Zenólia Christina Campos; Figueira, Janaína Esfalsini; Della Fonte, Sandra Soares; Caparróz, Francisco Eduardo – Sport, Education and Society, 2016
This study examines physical education (PE) curriculum development in an elementary school. Our goal was to understand the daily construction of a curriculum. We sought to analyse the theoretical and methodological framework and documents that a PE teacher uses each day while putting a curriculum into practice (lived curriculum). The data…
Descriptors: Physical Education, Foreign Countries, Curriculum Development, Elementary Schools
Falloon, Garry – International Journal of Research & Method in Education, 2018
Criticisms have been levelled at e-research that limited knowledge has been produced helpful for guiding educators in using digital tools more effectively for teaching and learning. This issue has become more acute with the emergence of mobile devices that enable learners to transition across different learning spaces and times. Traditional data…
Descriptors: Foreign Countries, Elementary School Students, Electronic Learning, Technology Uses in Education
Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
Schwendimann, Beat A.; Rodriguez-Triana, Maria Jesus; Vozniuk, Andrii; Prieto, Luis P.; Boroujeni, Mina Shirvani; Holzer, Adrian; Gillet, Denis; Dillenbourg, Pierre – IEEE Transactions on Learning Technologies, 2017
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…
Descriptors: Literature Reviews, Educational Research, Data Analysis, Data Processing
Gordon, Evelyn J. – Mentoring & Tutoring: Partnership in Learning, 2017
The retention of new teachers is a noteworthy issue among physical education teachers. One way to combat attrition is with the implementation of induction programs that have a strong emphasis on mentoring. Mentoring creates a "growth-in-connection" for the novice physical education teacher as well as the mentor. The relational cultural…
Descriptors: Beginning Teachers, Physical Education Teachers, Mentors, Interprofessional Relationship
Ahmadi, Reza; Saiki, Diana – Journal of Family and Consumer Sciences, 2017
Teachers are not always aware of how the classroom design influences teaching, particularly in many family and consumer sciences (FCS) classes that require studio space, such as apparel and interior design classes. The purpose of this paper is to introduce strategies to assess studio spaces that are designed for enhancement of student learning.…
Descriptors: Educational Strategies, Consumer Science, Classroom Design, Interior Design
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Mahnane, Lamia – Educational Technology & Society, 2017
In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…
Descriptors: Social Networks, Pretests Posttests, Cognitive Style, College Students
Shepard, Lorrie A.; Penuel, William R.; Davidson, Kristen L. – Phi Delta Kappan, 2017
The Every Student Succeeds Act grants states new flexibility to create more balanced assessment systems with a greater role for formative assessment. Drawing on lessons learned over three decades of research and reform, we argue that state and local leaders should take the lead in designing new assessments guided by two core principles: First,…
Descriptors: Federal Legislation, Educational Legislation, Formative Evaluation, Test Construction
Wang, Yinying; Bowers, Alex J.; Fikis, David J. – Educational Administration Quarterly, 2017
Purpose: The purpose of this study is to describe the underlying topics and the topic evolution in the 50-year history of educational leadership research literature. Method: We used automated text data mining with probabilistic latent topic models to examine the full text of the entire publication history of all 1,539 articles published in…
Descriptors: Data Collection, Data Analysis, Educational Research, Leadership
National Center for Homeless Education at SERVE, 2017
The U.S. education system is founded on the idea that students are in class every weekday; simply put, to benefit from school, a student must be in attendance. Nevertheless, many students miss school on a regular basis, thereby missing out on valuable instruction. Statistics on absenteeism among homeless students are particularly concerning, with…
Descriptors: Attendance Patterns, Homeless People, At Risk Students, Prevention
Zeng, Ziheng; Chaturvedi, Snigdha; Bhat, Suma – International Educational Data Mining Society, 2017
Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Similar to many states, the Louisiana Department of Education (LDOE) does not mandate the use of specific literacy screening or progress monitoring tools. LDOE sought a measurement approach that resulted in accurate and reliable information on student progress and outcomes, yet respected local control. This state spotlight presents initial…
Descriptors: Data Use, State Standards, Educational Improvement, Decision Making

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