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Showing all 12 results Save | Export
Stephanie Michelle McMillan-Dorman – ProQuest LLC, 2023
McMillan-Dorman, Stephanie Michelle. Examining the Relationship Between Middle School Students' Participation on i-Ready Computer Adaptive Tests and Math Achievement Scores (Under the direction of Theodore Kaniuka, Ed.D.) Despite over 50 years of effort, educators have witnessed a multiplicity of educational reforms make little to no effect on…
Descriptors: Middle School Students, Student Participation, Tests, Computer Assisted Testing
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Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
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Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
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Andrews-Todd, Jessica; Jackson, G. Tanner; Kurzum, Christopher – ETS Research Report Series, 2019
Collaborative problem solving (CPS) is an important 21st-century skill for academic and career success, and as a result, there is increased interest among businesses and educational institutions in the assessment and development of CPS skills. CPS skills are difficult to measure using traditional forms of assessment, and that difficulty has led to…
Descriptors: Problem Solving, 21st Century Skills, Academic Achievement, Cooperation
Andrews-Todd, Jessica; Jackson, G. Tanner; Kurzum, Christopher – Grantee Submission, 2019
Collaborative problem solving (CPS) is an important 21st-century skill for academic and career success, and as a result, there is increased interest among businesses and educational institutions in the assessment and development of CPS skills. CPS skills are difficult to measure using traditional forms of assessment, and that difficulty has led to…
Descriptors: Problem Solving, 21st Century Skills, Academic Achievement, Cooperation
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Lehman, Blair A.; Zapata-Rivera, Diego – IEEE Transactions on Learning Technologies, 2018
Students can experience a variety of emotions while completing assessments. Some emotions can get in the way of students performing their best (e.g., anxiety, frustration), whereas other emotions can facilitate student performance (e.g., engagement). Many new, non-traditional assessments, such as automated conversation-based assessments (CBA), are…
Descriptors: Emotional Response, Student Evaluation, Alternative Assessment, Computer Mediated Communication
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National Assessment of Educational Progress (NAEP), 2015
The National Assessment of Education Progress (NAEP) is the largest nationally representative assessment of what the nation's students know and can do in subjects such as mathematics, reading, science, and writing. The results of NAEP are released as The Nation's Report Card. The National Center for Education Statistics (NCES), within the U.S.…
Descriptors: School Districts, Educational Assessment, Mathematics, Reading
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Nelson, Peter M.; Parker, David C.; Zaslofsky, Anne F. – Assessment for Effective Intervention, 2016
The purpose of the current study was to evaluate the importance of growth in math fact skills within the context of overall math proficiency. Data for 1,493 elementary and middle school students were included for analysis. Regression models were fit to examine the relative value of math fact fluency growth, prior state test performance, and a fall…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Skills, Mathematics Achievement
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Bastiaens, Theo, Ed. – Association for the Advancement of Computing in Education, 2022
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in New York,…
Descriptors: Educational Technology, Flipped Classroom, Online Courses, Student Projects
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection