GPT

Background Being a teacher at DTU is challenging, facing severe issues of work-life balance, in particular it is more exciting to work on the latest research than having to be occupied by administrative tasks such as developing exam sets for assessments of student learning outcomes. For instance, in the course 02450 three exam sets are required to be generated pr. year each of which requires a minimum of one week of full time work to complete. ...

Background Being a student at DTU is challenging facing severe issues of work-life balance, in particular facing horrible teachers with unreasonable perceptions of what is fair in terms of course workloads. Recent efforts have tried to guide students using the laziness barometer using the course-analyzer. However, some study programmes still enforce tough courses on students that score unreasonably high on the required work-load. One such example includes the 02450 Introduction to Machine Learning and Data Mining course which includes two reports during the semester with extensive work efforts required to timely hand-in a satisfactory report product. ...

Background Correcting reports are a very time consuming task in courses that is challenged by limited resources. Historically, we have a lot of data on carefully corrected reports using rubric evaluation criterias. This project will explore the use of large language models (LLMs) and in particular recent developments enhancing LLMs with multimodality (i.e., image comprehension) [2] to enable an automated report evaluation system. The data for the project will be historically evaluated 02450 Introduction to Machine Learning and Data Mining reports containing in the order of 6 years of two semesters with each about 200 groups performing two reports. Report 1 contains 23 evaluation criterias on a likert scale from 0 to 4 whereas report 2 contains 17 evaluation criterias. Additionally, an overall evaluation of the report quality is also provided that is used to assess the students performance in the course. ...