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Beheshti, Behzad; Desmarais, Michel C. – International Educational Data Mining Society, 2015
This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…
Descriptors: Goodness of Fit, Student Evaluation, Skills, Models
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McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
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Berland, Matthew; Davis, Don; Smith, Carmen Petrick – International Journal of Computer-Supported Collaborative Learning, 2015
AMOEBA is a unique tool to support teachers' orchestration of collaboration among novice programmers in a non-traditional programming environment. The AMOEBA tool was designed and utilized to facilitate collaboration in a classroom setting in real time among novice middle school and high school programmers utilizing the IPRO programming…
Descriptors: Computer Science Education, Active Learning, Programming, Novices
Felder, Valerie – ProQuest LLC, 2013
Micceri (1989) examined the distributional characteristics of 440 large-sample achievement and psychometric measures. All the distributions were found to be nonnormal at alpha = 0.01. Micceri indicated three factors that might contribute to a non-Gaussian error distribution in the population. The first factor is subpopulations within a target…
Descriptors: Special Education, Statistical Distributions, Psychometrics, Data Collection
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Koh, Elizabeth; Jonathan, Christin; Tan, Jennifer Pei-Ling – Education Sciences, 2019
Networked learning provides opportunities for learners to develop their critical thinking, an important 21st century competency, through dialogue with fellow learners to consider other perspectives and negotiate and critique ideas and arguments. However, much extant literature has not examined networked learning environments among younger learners…
Descriptors: Critical Thinking, Secondary School Students, Intervention, Social Networks
Rodriguez, Olga; Cuellar-Mejia, Marisol; Johnson, Hans – Public Policy Institute of California, 2016
This document presents the technical appendices that accompany the full report, "Determining College Readiness in California's Community Colleges: A Survey of Assessment and Placement Policies." The appendices include: (1) Survey Design and Administration; and (2) Survey Instrument. [This report was written with research support from…
Descriptors: College Readiness, Community Colleges, Educational Policy, Student Evaluation
Custer, Samantha; King, Elizabeth M.; Atinc, Tamar Manuelyan; Read, Lindsay; Sethi, Tanya – Center for Universal Education at The Brookings Institution, 2018
Governments, organizations, and companies are generating copious amounts of data and analysis to support education decision-making around the world. While continued investments in data creation and management are necessary, the ultimate value of information is not in its "production," but its "use." Herein lies one of the…
Descriptors: Surveys, Foreign Countries, Data Collection, Data Analysis
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Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
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Logan, Jennifer L.; Quin~ones, Rosalynn; Sunderland, Deborah P. – Journal of Chemical Education, 2015
An assignment incorporating posters into a second-year analytical chemistry lab is described. Students work in groups and are assigned one of the application-themed weekly laboratories as a topic. Course data acquired for these weekly laboratories are compiled into spreadsheets that the poster group then analyzes to present in an on-campus poster…
Descriptors: Science Instruction, Assignments, Chemistry, Science Laboratories
Shute, Valerie J.; Moore, Gregory R.; Wang, Lubin – International Educational Data Mining Society, 2015
We are using stealth assessment, embedded in "Plants vs. Zombies 2," to measure middle-school students' problem solving skills. This project started by developing a problem solving competency model based on a thorough review of the literature. Next, we identified relevant in-game indicators that would provide evidence about students'…
Descriptors: Middle School Students, Problem Solving, Educational Games, Bayesian Statistics
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Donelan, Helen; Kear, Karen – International Review of Research in Open and Distributed Learning, 2018
Although collaboration skills are highly valued by employers, convincing students that collaborative learning activities are worthwhile, and ensuring that the experience is both useful and enjoyable, are significant challenges for educators. This paper addresses these challenges by exploring students' and tutors' experiences of a group project…
Descriptors: Foreign Countries, Cooperative Learning, Group Activities, Part Time Students
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
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Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Gehlbach, Hunter – Journal of Early Adolescence, 2015
As pressure builds to assess students, teachers, and schools, educational practitioners and policy makers are increasingly looking toward student perception surveys as a promising means to collect high-quality, useful data. For instance, the widely cited Measures of Effective Teaching study lists student perception surveys as one of the three key…
Descriptors: Surveys, Evaluation Methods, Early Adolescents, Student Evaluation
Hollingsworth, Hilary; Heard, Jonathan; Weldon, Paul R. – Australian Council for Educational Research, 2019
Each year teachers and principals in schools across Australia invest much time and effort, and considerable expense, in activities related to communicating student learning progress. However little is known about the effectiveness of these activities, including the extent to which they are valued by stakeholders, whether they are considered to…
Descriptors: Learning Processes, Academic Achievement, Program Descriptions, Data Collection
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