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Direct linkAllevato, Anthony J. – ProQuest LLC, 2012
Educators in many disciplines are too often forced to rely on intuition about how students learn and the effectiveness of teaching to guide changes and improvements to their curricula. In computer science, systems that perform automated collection and assessment of programming assignments are seeing increased adoption, and these systems generate a…
Descriptors: Computer Science Education, Intuition, Grading, Computer Assisted Testing
Peer reviewedWang, Tianyou; Zhang, Jiawei – Psychometrika, 2006
This paper deals with optimal partitioning of limited testing time in order to achieve maximum total test score. Nonlinear optimization theory was used to analyze this problem. A general case using a generic item response model is first presented. A special case that applies a response time model proposed by Wang and Hanson (2005) is also…
Descriptors: Reaction Time, Testing, Scores, Item Response Theory
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
Download full textEignor, Daniel R.; And Others – 1993
The extensive computer simulation work done in developing the computer adaptive versions of the Graduate Record Examinations (GRE) Board General Test and the College Board Admissions Testing Program (ATP) Scholastic Aptitude Test (SAT) is described in this report. Both the GRE General and SAT computer adaptive tests (CATs), which are fixed length…
Descriptors: Adaptive Testing, Algorithms, Case Studies, College Entrance Examinations
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
