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Dahm, Kevin – Journal of STEM Education: Innovations and Research, 2014
ABET requires that engineering programs demonstrate continuous assessment and continuous improvement in order to be accredited. Central to the process is establishing and assessing measurable "student outcomes" that reflect whether the goals and objectives of the program are being met. This paper examines effective strategies for…
Descriptors: STEM Education, Scoring Rubrics, Grading, Assignments
Crick, Ruth Deakin; Knight, Simon; Barr, Steven – Journal of Learning Analytics, 2017
Central to the mission of most educational institutions is the task of preparing the next generation of citizens to contribute to society. Schools, colleges, and universities value a range of outcomes--e.g., problem solving, creativity, collaboration, citizenship, service to community--as well as academic outcomes in traditional subjects. Often…
Descriptors: Educational Improvement, Holistic Approach, Data Collection, Data Analysis
Fritz, John – Internet and Higher Education, 2011
Similar to other institutions, the University of Maryland, Baltimore County (UMBC) has determined that a relationship may exist between student performance as defined by grades, and activity in the campus' online course management system (CMS). Specifically, since Fall 2007, UMBC's "Most Active Blackboard Courses" reports show students…
Descriptors: Online Courses, Academic Achievement, Data Collection, Academic Support Services
Blaich, Charles F.; Wise, Kathleen S. – New Directions for Institutional Research, 2010
Most assessment arguments are about measurement. When is it better to use direct versus indirect measures of student learning? Is one standardized test of critical thinking better than another? Is applying rubrics to student work better than using standardized tests? How valid are self-reported measures of learning? Although these arguments are…
Descriptors: Standardized Tests, Academic Achievement, Program Effectiveness, Liberal Arts
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Mitra, Ananda; Jain-Shukla, Parul; Robbins, Adrienne; Champion, Heather; Durant, Robert – International Journal on E-Learning, 2008
This article provides a broad overview of the definition of web-based surveys examining some of the benefits and burdens related to using the Web for data collection. It draws upon the experience of two years of data collection on 10 university campuses demonstrating that there are noticeable differences in the speed with which web-based surveys…
Descriptors: College Students, Research Methodology, Data Collection, Internet
Petersen, Dwain F.; Anderson, Douglas H. – 1971
The equivalency of item sampling and student sampling of attitudes of college students was investigated. A factor analysis of student-sampled data collected during Spring 1968, was compared with a factor analysis of item-sampled data collected each quarter from Fall 1968, through Winter 1970, at Mankato State College, using the Campus Environment…
Descriptors: Attitude Measures, College Environment, College Students, Data Collection

Taylor, Ronald L.; Ivimey, John K. – Psychology in the Schools, 1982
Advanced special education students rated 23 of the domains of the Adaptive Behavior Scale (ABS). Results indicated that the most important considerations for determining method of measurement for ABS were: time necessary to obtain behavioral sample and severity of behavior. Suggests the domains of ABS be rearranged and redefined. (RC)
Descriptors: Behavior Development, Behavior Patterns, College Students, Data Analysis
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Fuller, Greg; Simonson, Joe; Tiwari, Ananta; Rebelsky, Samuel A. – 2002
Since the inception of the World Wide Web, faculty members have been developing online course materials. However, there is little careful analysis of how students use these Webs. In particular, do more successful and less successful students use course webs and associated materials differently? Are usage patterns similar to those of printed…
Descriptors: College Students, Computer Software Development, Data Collection, Educational Resources

Vogely, Anita – Modern Language Journal, 1995
Examines strategies students use while performing a listening comprehension task and the relationship between strategy use and listening ability. Eighty-three students registered for first-, second-, third-, and fourth-semester Spanish participated. The first-semester students scored the highest and the second-semester students, the lowest on…
Descriptors: Cognitive Ability, College Students, Comparative Analysis, Data Collection
Secolsky, Charles, Ed.; Denison, D. Brian, Ed. – Routledge, Taylor & Francis Group, 2011
Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The "Handbook on Measurement, Assessment, and Evaluation in Higher Education" provides higher…
Descriptors: Generalizability Theory, Higher Education, Institutional Advancement, Teacher Effectiveness
Astin, Alexander W. – 1970
Methodological difficulties inherent in the design of studies of college impact are reviewed and an attempt is made to provide an improved research design. The discussion of research problems focuses on those of inferring causation. A characteristic three-component model of student development, comprised of student output, student input, and…
Descriptors: College Environment, College Students, Data Collection, Educational Change
Macro Systems, Inc., Silver Spring, MD. – 1979
The Basic Educational Opportunity Grant Quality Control Study, Volume II focuses on study procedures used for the analytical report recorded in Volume I of the study. Copies of all data collection forms are included along with file layouts, field procedures and other general information letters. It is intended to provide a description of the…
Descriptors: College Students, Computation, Data Collection, Educational Finance