Midway Evalutation

Leon Eyrich Jessen

Midway Evaluation

  • Our opportunity to understand if the course elements works as intended
  • Your opportunity to let us know, how the course looks on the students side
  • Super important to align
  • 76 out of 124 enrolled students answered this year
  • THANK YOU for this important contribution!

Highlights: What’s Working Well in the Course

  • The course is well-organized, with clear structure, helpful recaps of previous material, and balanced lecture-to-exercise time

  • Hands-on approach with well-guided exercises that align with learning level

  • The TAs play a crucial role by offering timely assistance, encouraging questions

  • Working in teams is beneficial for learning, especially when combined with the practical nature of the assignments

  • Course materials, particularly the website, reading materials, and exercises, are helpful in getting through the course content

Highlights: What could be better

  • Workload of exercises is sometimes too large, unevenly spread across weeks, or time-consuming, particularly Week 5
  • Several students experienced difficulties with the R cloud server and prefer working locally with RStudio
  • Many students would prefer slightly longer lectures with more in-depth explanations rather than relying heavily on pre-class preparation
  • The volume of reading and preparation materials, with some finding it difficult to manage before each class
  • The early start times pose challenges for some students, particularly those commuting, making it harder to follow the course

Highlights: Group Assignment Element

  • Group work can be challenging due to varying skill levels, often leading to one or two group members completing most of the work
  • Differences in progress during in-class exercises and limited time for coordination outside class make group collaboration difficult for some students.
  • Many find the group assignments beneficial for practice, some feel the tasks are too large or complex to be effectively tackled as a group within the available time
  • Generally the feedback is found useful and constructive, helping to improve their work throughout the course
  • Several students suggest smaller groups for more effective collaboration and equal participation in the assignments

Highlights: Open input and feedback

  • Many students prefer working with RStudio locally rather than using the R cloud server, which some found unreliable
  • Collaborating on group assignments is difficult due to varying skill levels and working paces, which impacts the ability to collaborate effectively
  • Students appreciate the overall structure, but there is some feedback suggesting more balance in the amount of preparation material and fewer exercises in certain weeks (e.g., Week 5)
  • Students find the feedback valuable, but some mentioned issues with only the person submitting the group assignment being able to view it, suggesting improvements for accessibility across the group
  • Overall, students find the course highly valuable, particularly in terms of learning R and bio data science, with several suggesting it should be promoted more to bachelor students and integrated into earlier stages of their studies

Average: 4 + 3.9 +/- 2.2 ~6-10h/week, expected time usage for 5 ECTS ~9-10h/week