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Christina Kyriakou; Agoritsa Gogoulou; Maria Grigoriadou – Informatics in Education, 2023
This paper presents an educational setting that attempts to enhance students' understanding and facilitate students' linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students' prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and…
Descriptors: Thinking Skills, Inferences, Computer Science Education, Computer System Design
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
Imran, Hazra – Journal of Educational Computing Research, 2023
Adding gaming elements to conventional teaching methodologies has gained a lot of attention because of its ability to incorporate an engaging, motivating, and fun-based environment. As a result, learners' dedication and performance are also better. Unfortunately, current gamification models do not consider the effect of different levels of…
Descriptors: Introductory Courses, Game Based Learning, Learning Motivation, Learner Engagement
Bakó, Mária; Aszalós, László – Acta Didactica Napocensia, 2019
The expansion of the LMS system triggered the spread of MCQs as an addition, or even substitute for traditional assessment methods. Our goal was to create a question bank, which could be used to evaluate learning at advanced cognitive levels, and aside from examination purposes it could also function as a tool for student practice. In this…
Descriptors: Item Banks, Introductory Courses, Multiple Choice Tests, Taxonomy
Appenzellar, Anne B.; Kelley, H. Paul – 1988
The Measurement and Evaluation Center of the University of Texas (Austin) conducted a validity study to assist the Department of Management Science and Information (DMSI) at the College of Business Administration in establishing a program of credit by examination for an introductory course in electronic data processing--Data Processing Analysis…
Descriptors: Business Administration Education, College Credits, College Freshmen, Computer Science Education

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