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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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Strizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation
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Crossouard, Barbara – Teaching in Higher Education, 2010
This article responds to recent UK proposals on measuring and recording student achievement (Universities UK 2007) to highlight issues that are relevant across different higher education contexts, which are increasingly intertwined through the expansion of the Bologna process. Drawing from wide-ranging literature on assessment and sociology, this…
Descriptors: Academic Achievement, Measurement Objectives, Measurement Techniques, Educational Practices
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Hurman, John – Language Learning Journal, 1993
Using a questionnaire given to oral examiners working in the field, this study investigates the different perspectives that examiners bring to their assessment of conversation on a prepared topic. The oral examination studied consisted of three parts--discussing stimulus material, conversing on a prepared topic and discussing issues of personal…
Descriptors: Attitude Measures, Data Collection, Evaluation Criteria, Evaluation Methods