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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
Quality Assurance of Learning Assessments in Large Information Systems and Decision Analysis Courses
Ugray, Zsolt; Dunn, Brian K. – Journal of Information Systems Education, 2022
As Information Systems courses have become both more data-focused and student numbers have increased, there has emerged a greater need to assess technical and analytical skills more efficiently and effectively. Multiple-choice examinations provide a means for accomplishing this, though creating effective multiple-choice assessment items within a…
Descriptors: Quality Assurance, Information Systems, Computer Science Education, Student Evaluation
Dina Kamber Hamzic; Mirsad Trumic; Ismar Hadžalic – International Electronic Journal of Mathematics Education, 2025
Trigonometry is an important part of secondary school mathematics, but it is usually challenging for students to understand and learn. Since trigonometry is learned and used at a university level in many fields, like physics or geodesy, it is important to have an insight into students' trigonometry knowledge before the beginning of the university…
Descriptors: Trigonometry, Mathematics Instruction, Prior Learning, Outcomes of Education
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
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
Gu, Lin; Ling, Guangming; Liu, Ou Lydia; Yang, Zhitong; Li, Guirong; Kardanova, Elena; Loyalka, Prashant – Assessment & Evaluation in Higher Education, 2021
We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item…
Descriptors: Critical Thinking, Tests, Test Format, Computer Assisted Testing
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
Ardiansyah, Welly; Aryanti, Nurul; Ujihanti, Murwani – Journal on English Language Teaching, 2020
The objectives of this study are to see if Reciprocal Teaching (RT) is more a effective Language Learning Strategy (LLS) to teach reading comprehension, and to see if students of high reading comprehension achievement have better reading comprehension than those of moderate and low reading comprehension achievement. The 3 x 2 factorial design is…
Descriptors: Metacognition, Reading Strategies, Reading Comprehension, Multiple Choice Tests
Alsadaawi, Abdullah Saleh – International Education Studies, 2017
The Saudi National Assessment Centre administers the Computer Science Teacher Test for teacher certification. The aim of this study is to explore gender differences in candidates' scores, and investigate dimensionality, reliability, and differential item functioning using confirmatory factor analysis and item response theory. The confirmatory…
Descriptors: Factor Structure, Test Items, Test Reliability, Teacher Certification

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