Auflistung nach Schlagwort "Online Exams"
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- KonferenzbeitragOnline Exams in the Era of ChatGPT(21. Fachtagung Bildungstechnologien (DELFI), 2023) Buchmann, Erik; Thor, AndreasRecent versions of ChatGPT demonstrate an amazing ability to answer difficult questions in natural languages on a wide range of topics. This puts homeworks or online exams at risk, where a student can simply forward a question to the chatbot and copy its answers. We have tested ChatGPT with three of our exams, to find out which kinds of exam questions are still difficult for a generative AI. Therefore, we categorized exam questions according to a knowledge taxonomy, and we analyze the wrong answers in each category. To our surprise, ChatGPT even performed well with procedural knowledge, and it earned a grade of 2.7 (B-) in the IT Security exam. However, we also observed five options to formulate questions that ChatGPT struggles with.
- KonferenzbeitragSemantic Watermarks for Detecting Cheating in Online Database Exams(BTW 2023, 2023) Brass, Stefan; Hinneburg, AlexanderDue to the COVID-19 pandemic,we were forced to conduct the exam for a database course as an online exam.An essential part of the exam was to write non-trivial SQL queries for given tasks.In order to ensure that cheating has a certain risk,we used several techniques to detect cases of plagiarism.One technique was to use a kind of ``watermarks'' invariants of the exercises that are randomly assigned to the students.Each variant is marked by small variationsthat need to be included in submitted solutions.Those markers might go through undetectedwhen a student decides to copy a solution from someone else.In this case,the student would reveal to know a ``secret''that he cannot know without the forbidden communication with another student.This can be used as a proof for plagiarisminstead of just a subjective feeling about the likelihoodof similar solutions without communication.We also used a log of SQL queries that were tried during the exam.Finally,we evaluated similarity-based techniques for SQL plagiarism detection.