ms160_evaluations

SUMMARY

Instructor Contribution:

  • 2020: Students praised Goodwin for his knowledge and accessibility, particularly highlighting his ability to adapt to new concepts and his personal attention during class exercises and demonstrations.
  • 2021: Students appreciated Goodwin's engaging explanations, particularly his efforts to balance computational and artistic concepts for a diverse class, composed of CS and media studies majors.
  • 2024: Goodwin was again noted for detailed explanations and helpful presence during lab work, showing consistent strong support for students.

Class Activities and Discussions:

  • 2020: Students valued the balance between lectures and hands-on projects, finding them effective in understanding the subject.
  • 2021: Activities were exploratory, with students enjoying trial-and-error learning processes, supported by group work and engaging discussions.
  • 2024: Students found the activities, labs, and lectures engaging and useful for completing assignments during class, leading to efficient use of class time.

Feedback:

  • 2020: Feedback was appreciated for being constructive and encouraging, with Goodwin available for one-on-one time during online learning.
  • 2021: Feedback was mostly positive and encouraging, fostering a supportive environment though some students desired more critique for development.
  • 2024: Feedback continued to be clear and timely, although there was some difficulty reaching the professor via email, suggesting in-class availability was higher.

Office Hours:

  • 2020, 2021, 2024: There was low attendance for office hours in all years, largely due to sufficient interaction during class and availability via alternative methods like Slack in the earlier years.

Most/Least Useful Aspects:

  • 2020: Students found code examples and projects particularly useful, while readings and incompatible in-class exercises were less so.
  • 2021: Projects, especially the final project, were most valuable, with suggestions for a more comprehensive onboarding process for non-CS majors.
  • 2024: Demos and long class sessions for real-time coding support were highlighted as beneficial, with little identified as least useful aside from scheduling preferences.

Workload and Time Commitment:

  • 2020: Students spent varying hours, typically around 3-5 per week depending on individual situations, with a notably lighter workload compared to other CS electives.
  • 2021: The workload was described as manageable and slightly lighter than other comparable courses, with emphasis on exploration and self-directed projects.
  • 2024: Students spent approximately 2 hours weekly, indicating a light workload with productive in-class sessions.

Intellectual Development:

  • 2020: Students explored the fusion of technology and art, appreciating the creative coding aspects of the course.
  • 2021: The course prompted a deeper understanding of computational photography's societal roles, particularly in ethical implications.
  • 2024: Students reported a newfound understanding of digital images from a coding perspective, inspiring creative thinking in digital art.

Overall Impressions:

  • 2020 & 2021: Both years reported positive overall impressions of the course and instructor, with a stress-free, supportive environment being repeatedly noted.
  • 2024: Students expressed enthusiasm for the course topics and appreciated the engaging class climate and Goodwin's supportive nature.

Student Respondent Demographics:

  • 2020: Mixed class backgrounds, primarily seniors and juniors from Scripps and Harvey Mudd, taking the course as a requirement or elective.
  • 2021: Majority sophomores from Harvey Mudd, taking the course mostly as electives.
  • 2024: Mainly juniors and seniors, with a split between Harvey Mudd and Scripps, taking the course as electives or for personal interest.