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Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
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Alturki, Raad A. – Informatics in Education, 2016
Students' performances in introductory programming courses show large variation across students. There may be many reasons for these variations, such as methods of teaching, teacher competence in the subject, students' coding backgrounds and abilities, students' self-discipline, the teaching environment, and the resources available to students,…
Descriptors: Introductory Courses, Programming, Student Evaluation, Measurement Techniques
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van Bilsen, Arthur; Bekebrede, Geertje; Mayer, Igor – Informatics in Education, 2010
While educators teach their students about decision making in complex environments, managers have to deal with the complexity of large projects on a daily basis. To make better decisions it is assumed, that the latter would benefit from better understanding of complex phenomena, as do students as the professionals of the future. The goal of this…
Descriptors: Decision Making, Computer Games, Computer Simulation, College Students
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Mardikyan, Sona; Badur, Bertain – Informatics in Education, 2011
Student evaluations to measure the teaching effectiveness of instructor's are very frequently applied in higher education for many years. This study investigates the factors associated with the assessment of instructors teaching performance using two different data mining techniques; stepwise regression and decision trees. The data collected…
Descriptors: Information Retrieval, Teacher Evaluation, Regression (Statistics), Decision Making