Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between students and apply our approach on event log data from take-home exams during the pandemic. We find groups of students with suspiciously similar exams. In addition, we…

The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of…

Most of the emphasis on mining online assessment logs has been to identify content-specific errors. However, the pattern of general "consistency" is domain independent, strongly related to performance, and can itself be a target of educational data mining. We demonstrate that simple consistency indicators are related to student outcomes,…

CSAR (Characteristic Storage And Retrieval) is the name of an interactive item bank system for the storage, retrieval, manipulation, and summarization of information about multiple choice test items. The purpose of the system is to facilitate the test construction process. The system has two main components: one or more item banks and an…

Describes the comparative approach to system evaluation used in a project which administered an online retrieval test to an experimental online catalog to produce data for evaluating effectiveness of a new subject access design. Discusses efforts used to ensure data reliability, and strategies the researchers can use to improve on the data…