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Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
Rizki Zakwandi; Edi Istiyono; Wipsar Sunu Brams Dwandaru – Education and Information Technologies, 2024
Computational Thinking (CT) skill was a part of the global framework of reference on Digital Literacy for Indicator 4.4.2, widely developed in mathematics and science learning. This study aimed to promote an assessment tool using a two-tier Computerized Adaptive Test (CAT). The study used the Design and Development Research (DDR) method with four…
Descriptors: Computer Assisted Testing, Adaptive Testing, Student Evaluation, Computation
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Lu, Chang; Cutumisu, Maria – International Educational Data Mining Society, 2021
Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…
Descriptors: Learning Processes, Automation, Computer Assisted Testing, Scoring
Guenaga, Mariluz; Eguíluz, Andoni; Garaizar, Pablo; Gibaja, Juanjo – Computer Science Education, 2021
Background and Context: Despite many initiatives to develop Computational Thinking (CT), not much is known about how early programmers develop CT and how we can assess their learning. Objective: Determine if the analysis of students' interactions with an online platform allows understanding the development of CT, how we can convert data collected…
Descriptors: Computation, Thinking Skills, Skill Development, Cognitive Tests
Relkin, Emily; de Ruiter, Laura; Bers, Marina Umaschi – Journal of Science Education and Technology, 2020
There is a need for developmentally appropriate Computational Thinking (CT) assessments that can be implemented in early childhood classrooms. We developed a new instrument called "TechCheck" for assessing CT skills in young children that does not require prior knowledge of computer programming. "TechCheck" is based on…
Descriptors: Developmentally Appropriate Practices, Computation, Thinking Skills, Early Childhood Education
Ganzfried, Sam; Yusuf, Farzana – Education Sciences, 2018
A problem faced by many instructors is that of designing exams that accurately assess the abilities of the students. Typically, these exams are prepared several days in advance, and generic question scores are used based on rough approximation of the question difficulty and length. For example, for a recent class taught by the author, there were…
Descriptors: Weighted Scores, Test Construction, Student Evaluation, Multiple Choice Tests
Whitworth, David E.; Wright, Kate – British Journal of Educational Technology, 2015
In science education, laboratory practicals are frequently assessed through submission of a report. A large increase in student numbers necessitated us adapting a traditional practical report into an online test with automated marking. The assessment was designed to retain positive features of the traditional laboratory report but with added…
Descriptors: Computer Assisted Testing, Student Evaluation, College Students, Science Laboratories
Thissen, David – Journal of Educational and Behavioral Statistics, 2016
David Thissen, a professor in the Department of Psychology and Neuroscience, Quantitative Program at the University of North Carolina, has consulted and served on technical advisory committees for assessment programs that use item response theory (IRT) over the past couple decades. He has come to the conclusion that there are usually two purposes…
Descriptors: Item Response Theory, Test Construction, Testing Problems, Student Evaluation
Horwitz, Paul; von Davier, Alina; Chamberlain, John; Koon, Al; Andrews, Jessica; McIntyre, Cynthia – Community College Journal of Research and Practice, 2017
The Teaching Teamwork Project is using an online simulated electronic circuit, running on multiple computers, to assess students' abilities to work together as a team. We pose problems that must be tackled collaboratively, and log students' actions as they attempt to solve them. Team members are isolated from one another and can communicate only…
Descriptors: Teamwork, Cooperative Learning, Electronics, Equipment

Gerber, Michael M.; And Others – Exceptional Children, 1994
Design details, operation, and initial field test results are reported for DynaMath, a computer-based dynamic assessment system that provides individually tailored, instructionally useful assessment of students with disabilities. DynaMath organizes and outputs student performance data, graphically shows the "zone of proximal…
Descriptors: Computation, Computer Assisted Testing, Computer Software, Curriculum Based Assessment
Li, Yuan H.; Schafer, William D. – Applied Psychological Measurement, 2005
Under a multidimensional item response theory (MIRT) computerized adaptive testing (CAT) testing scenario, a trait estimate (theta) in one dimension will provide clues for subsequently seeking a solution in other dimensions. This feature may enhance the efficiency of MIRT CAT's item selection and its scoring algorithms compared with its…
Descriptors: Adaptive Testing, Item Banks, Computation, Psychological Studies