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Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Peresso, Randolph – Compare: A Journal of Comparative and International Education, 2017
This paper focuses on the methodology adopted for Malta+5, which builds on Robin Alexander's work by comparing the five pedagogical cultures he studied to the one in Malta. It reflects critically on the research process adopted in this study, and shows how, despite the very limited experience and resources, applying the methodology, frameworks and…
Descriptors: Organizational Culture, Teaching Methods, Comparative Analysis, Models
Traub, Michele R.; Joslyn, P. Raymond; Kronfli, Faris R.; Peters, Kerri P.; Vollmer, Timothy R. – Rural Special Education Quarterly, 2017
The demand for behavioral services is currently outpacing the availability of trained and certified behavior analysts. This need might be felt most acutely in rural communities, where educational funds often do not allow for hiring full-time behavioral staff. This article outlines a model for behavioral consultation that has been successful in…
Descriptors: Models, Consultation Programs, School Districts, Rural Areas
Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Pardos, Zachary A.; Whyte, Anthony; Kao, Kevin – Technology, Knowledge and Learning, 2016
In this paper, we address issues of transparency, modularity, and privacy with the introduction of an open source, web-based data repository and analysis tool tailored to the Massive Open Online Course community. The tool integrates data request/authorization and distribution workflow features as well as provides a simple analytics module upload…
Descriptors: Online Courses, Large Group Instruction, Technology Uses in Education, Educational Technology
Niu, Ke; Niu, Zhendong; Zhao, Xiangyu; Wang, Can; Kang, Kai; Ye, Min – International Educational Data Mining Society, 2016
User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…
Descriptors: Web Based Instruction, Student Needs, User Needs (Information), Mathematics
MacLellan, Christopher J.; Harpstead, Erik; Patel, Rony; Koedinger, Kenneth R. – International Educational Data Mining Society, 2016
While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…
Descriptors: Educational Research, Data Collection, Learning Theories, Recall (Psychology)
McFadden, Matthew – ProQuest LLC, 2013
Cyber incident response is an emphasized subject area in cybersecurity in information technology with increased need for the protection of data. Due to ongoing threats, cybersecurity imposes many challenges and requires new investigative response techniques. In this study a Linux Incident Response Framework is designed for collecting volatile data…
Descriptors: Data Analysis, Computer Security, Crime, Models
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
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
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
Jones, Gary – SAGE Publications Ltd (UK), 2018
There is a vast amount of research on what goes on in schools, but how can school leaders sort credible findings from dubious claims and use these to make informed decisions that benefit their schools? How can abstract ideas from research be translated into dynamic plans for action? This book is a practical guide to evidence-based school…
Descriptors: Evidence Based Practice, Instructional Leadership, Middle Management, Decision Making
Shaw, Paula; Green, Pauline; Gration, Marlies; Rhodes, Christine; Sheffield, David; Stone, Julie – Australasian Journal of Educational Technology, 2020
Through this paper, we explore "unbundling," the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and "rebundling," where these activities are "recombined into new configurations with little loss of functionality" (Ge et al., 2004, p. 1). We chart the…
Descriptors: Online Courses, Foreign Countries, Higher Education, Educational Technology
Ross, Christine; Sama-Miller, Emily; Roberts, Lily – Administration for Children & Families, 2018
The "Integrated Approaches to Supporting Child Development and Improving Family Economic Security" project was conducted by Mathematica Policy Research and Northwestern University for the Office of Planning, Research and Evaluation (OPRE), in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human…
Descriptors: Well Being, Family Programs, Family Income, Children