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Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
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Asamoah, Daniel A.; Sharda, Ramesh; Kalgotra, Pankush; Ott, Mark – Journal of Information Systems Education, 2016
Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…
Descriptors: Case Method (Teaching Technique), Data Collection, Data Analysis, Educational Research
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Koleros, Andrew; Jupp, Dee; Kirwan, Sean; Pradhan, Meeta S.; Pradhan, Pushkar K.; Seddon, David; Tumbahangfe, Ansu – American Journal of Evaluation, 2016
This article presents discussion and recommendations on approaches to retrospectively evaluating development interventions in the long term through a systems lens. It is based on experiences from the implementation of an 18-month study to investigate the impact of development interventions on economic and social change over a 40-year period in the…
Descriptors: Foreign Countries, Case Studies, Systems Development, International Programs
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Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
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Kobayashi, Vladimer; Mol, Stefan T.; Kismihók, Gábor – Journal of Learning Analytics, 2014
This paper briefly outlines a project about integrating labour market information in a learning analytics goal-setting application that provides guidance to students in their transition from education to employment.
Descriptors: Labor Market, Data Collection, Data Analysis, Employment
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Harvey, Marina; Kosman, Bronwyn – Journal of Higher Education Policy and Management, 2014
The development of a standards-based assessment policy represented a significant cultural shift in assessment practice at one university. Concurrently, the implementation of a policy framework represented a significant procedural shift in policy development and review. The assessment policy was the first policy scheduled to be reviewed through the…
Descriptors: Educational Assessment, Educational Policy, Higher Education, Models
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Rushton, Gregory T.; Criswell, Brett A.; McAllister, Nicole D.; Polizzi, Samuel J.; Moore, Lamesha A.; Pierre, Michelle S. – Journal of Chemical Education, 2014
Reaction kinetics is an axiomatic topic in chemistry that is often addressed as early as the high school course and serves as the foundation for more sophisticated conversations in college-level organic, physical, and biological chemistry courses. Despite the fundamental nature of reaction kinetics, students can struggle with transforming their…
Descriptors: Science Instruction, Chemistry, College Science, Kinetics
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Schoemann, Alexander M.; Miller, Patrick; Pornprasertmanit, Sunthud; Wu, Wei – International Journal of Behavioral Development, 2014
Planned missing data designs allow researchers to increase the amount and quality of data collected in a single study. Unfortunately, the effect of planned missing data designs on power is not straightforward. Under certain conditions using a planned missing design will increase power, whereas in other situations using a planned missing design…
Descriptors: Monte Carlo Methods, Simulation, Sample Size, Research Design
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Pellien, Tamara; Rothenburger, Lisa – Journal of Extension, 2014
The Next Generation Science Standards (NGSS) will define science education for the foreseeable future, yet many educators struggle to see the bridge between current practice and future practices. The inquiry-based methods used by Extension professionals (Kress, 2006) can serve as a guide for classroom educators. Described herein is a method of…
Descriptors: Science Instruction, Academic Standards, Inquiry, Extension Education
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Higgins, Marc – Canadian Journal of Science, Mathematics and Technology Education, 2014
Within Canadian science classrooms, Indigenous ways-of-knowing and ways-of-being continue to be underrepresented and undervalued. For Indigenous students, this often results in negative experiences and disparate achievement rates when compared to their non-Indigenous classmates. Recent decolonizing science education literature suggests critical…
Descriptors: Science Education, Foreign Countries, Indigenous Knowledge, Educational Change
Almes, Guy T.; Zottola, Ralph J. – EDUCAUSE, 2014
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Data Collection, Data Analysis, Higher Education, Technology Uses in Education
Almes, Guy T.; Hillegas, Curtis W.; Lance, Timothy; Lynch, Clifford A.; Monaco, Gregory E.; Mundrane, Michael R.; Zottola, Ralph J. – EDUCAUSE, 2014
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Data Collection, Data Analysis, Higher Education, Technology Uses in Education
Patricia Hoffman-Miller – Sage Research Methods Cases, 2014
Dissertation advisors play a significant role in the development of student theses and dissertations whether or not the dissertation is a qualitative or quantitative study. The conceptualization of a student dissertation prospectus requires unmitigated dedication and commitment by the advisor, providing encouragement to the student and committee…
Descriptors: Doctoral Dissertations, Student Research, Research Methodology, Grounded Theory
Michele Bracken – Sage Research Methods Cases, 2014
As a survivor, my interest in this topic stemmed from my personal experience of the devastating consequences produced by intimate partner violence. I felt that by giving a voice to those who have actually lived through these experiences, I might help nurses relate to abused women's individual situations and circumstances in a way that is…
Descriptors: Violence, Interpersonal Relationship, Empowerment, Trauma Informed Approach
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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