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Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
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Rowe, Elizabeth; Asbell-Clarke, Jodi; Almeda, Mia; Gasca, Santiago; Edwards, Teon; Bardar, Erin; Shute, Valerie; Ventura, Matthew – International Journal of Computer Science Education in Schools, 2021
The Inclusive Assessment of Computational Thinking (CT) designed for accessibility and learner variability was studied in over 50 classes in US schools (grades 3-8). The validation studies of IACT sampled thousands of students to establish IACT's construct and concurrent validity as well as test-retest reliability. IACT items for each CT practice…
Descriptors: Puzzles, Logical Thinking, Thinking Skills, Construct Validity
Braun, Henry I.; And Others – 1989
The use of constructed response items in large scale standardized testing has been hampered by the costs and difficulties associated with obtaining reliable scores. The advent of expert systems may signal the eventual removal of this impediment. This study investigated the accuracy with which expert systems could score a new, non-multiple choice…
Descriptors: Computer Science, Constructed Response, Expert Systems, High School Seniors
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Martinez, Michael E.; Bennett, Randy Elliot – Applied Measurement in Education, 1992
New developments in the use of automatically scorable constructed response item types for large-scale assessment are reviewed for five domains: (1) mathematical reasoning; (2) algebra problem solving; (3) computer science; (4) architecture; and (5) natural language. Ways in which these technologies are likely to shape testing are considered. (SLD)
Descriptors: Algebra, Architecture, Automation, Computer Science
National Assessment of Educational Progress, Princeton, NJ. – 1986
Computer skills objectives have been developed for the 1986 National Assessment of Educational Progress (NAEP). These items will be administered to a large number of American students aged 9, 13, and 17 in grades 3, 7, and 11. For this first national assessment of computer skills, it was necessary to consider the existing expertise of school…
Descriptors: Academic Achievement, Affective Objectives, Cognitive Objectives, Computer Literacy