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Umar Bin Qushem; Solomon Sunday Oyelere; Gökhan Akçapinar; Rogers Kaliisa; Mikko-Jussi Laakso – Technology, Knowledge and Learning, 2024
Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…
Descriptors: Predictor Variables, Learning Analytics, At Risk Students, Computer Science
Green, Clare; Hughes, Sarah – Cambridge University Press & Assessment, 2022
The Digital High Stakes Assessment Programme in Cambridge University Press & Assessment is developing digital assessments for UK and global teachers and learners. In one development, the team are making decisions about the assessment models to use to assess computing systems knowledge and understanding. This research took place as part of the…
Descriptors: Test Items, Computer Science, Achievement Tests, Objective Tests
Flannery, Kathleen A.; Malita, Mihaela – College Teaching, 2014
We present our case study of an interdisciplinary team project for students taking either a psychology or computer science (CS) course. The project required psychology and CS students to combine their knowledge and skills to create an online cognitive task. Each interdisciplinary project team included two psychology students who conducted library…
Descriptors: Interdisciplinary Approach, Student Projects, Group Activities, Psychology
Shelley, Mack, Ed.; Akcay, Hakan, Ed.; Ozturk, Omer Tayfur, Ed. – International Society for Technology, Education, and Science, 2022
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on March 24-27, 2022 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and…
Descriptors: Educational Technology, Technology Uses in Education, Computer Peripherals, Equipment
Barker, Trevor – Electronic Journal of e-Learning, 2011
The recent National Students Survey showed that feedback to students was an ongoing problem in Higher Education. This paper reports on the extension of our past research into the provision of automated feedback for objective testing. In the research presented here, the system has been further developed for marking practical and essay questions and…
Descriptors: Feedback (Response), Evaluation, Adaptive Testing, Objective Tests
Bjelica, Momcilo; Rankovic, Dragica – Turkish Online Journal of Distance Education, 2010
The development of computer science, statistics and other technological fields, give us more opportunities to improve the process of evaluation of degree of knowledge and achievements in a learning process of our students. More and more we are relying on the computer software to guide us in the grading process. An improved way of grading can help…
Descriptors: Evaluation Methods, Student Evaluation, Distance Education, Academic Achievement
Rosson, Mary Beth, Ed. – InTech, 2010
Readers will find several papers that address high-level issues in the use of technology in education, for example architecture and design frameworks for building online education materials or tools. Several other chapters report novel approaches to intelligent tutors or adaptive systems in educational settings. A number of chapters consider many…
Descriptors: Educational Technology, Student Projects, Active Learning, Information Systems
Douce, Christopher; Livingstone, David; Orwell, James – Journal on Educational Resources in Computing, 2005
Systems that automatically assess student programming assignments have been designed and used for over forty years. Systems that objectively test and mark student programming work were developed simultaneously with programming assessment in the computer science curriculum. This article reviews a number of influential automatic assessment systems,…
Descriptors: Electronic Learning, Programming, Curriculum, Computer Science
Ko, C. C.; Cheng, C. D. – Computers & Education, 2008
Electronic examination systems, which include Internet-based system, require extremely complicated installation, configuration and maintenance of software as well as hardware. In this paper, we present the design and development of a flexible, easy-to-use and secure examination system (e-Test), in which any commonly used computer can be used as a…
Descriptors: Computer Assisted Testing, Computers, Program Effectiveness, Examiners
Kaburlasos, Vassilis G.; Marinagi, Catherine C.; Tsoukalas, Vassilis Th. – Computers & Education, 2008
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…
Descriptors: Feedback (Response), Student Improvement, Computer Science, Bayesian Statistics
Peer reviewedHowze, Glenn – AEDS Journal, 1978
This paper describes an interactive computer software system developed at Tuskegee Institute which is designed to allow flexibility in the development, administration, and scoring of examinations. (Author)
Descriptors: Computer Assisted Testing, Computer Programs, Computer Science, Higher Education
Skeeters, Donald E. – 1970
The question at hand is: Can a computer program be copyrighted, patented, or protected as a trade secret? All three protective methods are examined, with special attention paid to the advantages and disadvantages of each pertinent to computer program protection. The scope of the protection and relevant case law are considered. The paper concludes…
Descriptors: Computer Assisted Testing, Computer Programs, Computer Science, Computers
Peer reviewedCox, Kevin; Clark, David – Computers & Education, 1998
Describes how to construct questions to test all cognitive levels of learning for a course in introductory programming. The framework for learning is based on Bloom's taxonomy. Practical advice is given through examples and by describing a computer system to help deliver quizzes. Includes example questions. (Author/AEF)
Descriptors: Cognitive Processes, Computer Assisted Testing, Computer Science, Computer System Design
Baker, Eva L.; And Others – 1988
Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Testing, Computer Science
Peer reviewedBennett, Randy Elliot; And Others – Applied Psychological Measurement, 1990
The relationship of an expert-system-scored constrained free-response item type to multiple-choice and free-response items was studied using data for 614 students on the College Board's Advanced Placement Computer Science (APCS) Examination. Implications for testing and the APCS test are discussed. (SLD)
Descriptors: College Students, Comparative Testing, Computer Assisted Testing, Computer Science

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