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Showing 1 to 15 of 18 results Save | Export
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Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Chatterjee, Samprit; Hadi, Ali S. – John Wiley & Sons, Inc, 2012
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fifth Edition" has been expanded and thoroughly…
Descriptors: Regression (Statistics), Data Analysis, Statistical Analysis, Models
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Copp, Derek T. – Education Policy Analysis Archives, 2016
In the quest to improve measured educational outcomes national governments across the The Organisation for Economic Co-operation and Development (OECD) and beyond have instituted large-scale assessment (LSA) policies in their public schools. Controversy almost universally follows the implementation of such testing, related to such topics as: a)…
Descriptors: Teacher Attitudes, Beliefs, Instructional Improvement, Information Utilization
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Polanin, Joshua R.; Wilson, Sandra Jo – Society for Research on Educational Effectiveness, 2014
The purpose of this project is to demonstrate the practical methods developed to utilize a dataset consisting of both multivariate and multilevel effect size data. The context for this project is a large-scale meta-analytic review of the predictors of academic achievement. This project is guided by three primary research questions: (1) How do we…
Descriptors: Meta Analysis, Correlation, Case Studies, Parent Participation
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Kerrigan, Monica Reid – Community College Journal of Research and Practice, 2015
The current rhetoric around using data to improve community college student outcomes with only limited research on data-driven decision-making (DDDM) within postsecondary education compels a more comprehensive understanding of colleges' capacity for using data to inform decisions. Based on an analysis of faculty and administrators' perceptions and…
Descriptors: Community Colleges, Social Capital, Data, Decision Making
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Lichtenberger, Eric; Witt, M. Allison; Blankenberger, Bob; Franklin, Doug – Community College Journal of Research and Practice, 2014
The use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics…
Descriptors: Dual Enrollment, College Credits, Community Colleges, Statistical Analysis
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Gorad, Stephen; Hordosy, Rita; Siddiqui, Nadia – International Education Studies, 2013
This paper re-considers the widespread use of value-added approaches to estimate school "effects", and shows the results to be very unstable over time. The paper uses as an example the contextualised value-added scores of all secondary schools in England. The study asks how many schools with at least 99% of their pupils included in the…
Descriptors: Foreign Countries, Outcomes of Education, Secondary Education, Educational Testing
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Heo, Misook; Song, Jung-Sook; Seol, Moon-Won – Journal of Educational Research, 2013
The authors examined the needs of digital information service web portal users. More specifically, the needs of Korean cultural portal users were examined as a case study. The conceptual framework of a web-based portal is that it is a complex, web-based service application with characteristics of information systems and service agents. In…
Descriptors: Foreign Countries, Factor Analysis, Models, Predictor Variables
Wolfe, Linda C. – ProQuest LLC, 2013
This paper presents findings from a quantitative, correlational study that examined selected school nursing services, student academic outcomes, and school demographics. Ex post facto data from the 2011-2012 school year of Delaware public schools were used in the research. The selected variables were school nurse interventions provided to students…
Descriptors: School Nurses, Child Health, Intervention, Academic Achievement
Filsinger, Lora C. – ProQuest LLC, 2012
As schools and school districts continue to face budget reductions, school officials must thoroughly evaluate and determine from which programs to decrease funding. Athletic programs are one area that has received much scrutiny for receiving these cuts. If research reveals a significant relationship between athletic involvement and academic…
Descriptors: Academic Achievement, Grade Point Average, Program Effectiveness, Statistical Analysis
Berg, Juliette; Torrente, Catalina; Aber, J. Lawrence; Jones, Stephanie M.; Brown, Joshua L. – Society for Research on Educational Effectiveness, 2010
The 4Rs Program (Reading, Writing, Respect and Resolution) is a "dual focus" whole school universal intervention designed to promote literacy development and social-emotional learning, that is currently being rigorously evaluated using a school-randomized trial of 18 elementary schools (9 intervention, 9 control) in New York City. The…
Descriptors: Intervention, Educational Change, Data, Program Evaluation
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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