Download Learning Experience Evaluations - Spring 2020 and more Study notes Artificial Intelligence in PDF only on Docsity!
Learning Experience Subscale Average ScoreLEARNING EXPERIENCE SUBSCALE ANALYSIS
Competency Course Design Instructional Practices Inclusion Practices Assessment Practices Course Impact (^) instructorCourse-3.603.423.423.473.53 Deviation^ Standard+/-0.56+/-0.63+/-0.68+/-0.64+/-0.
University of Southern California
ASSESSMENT PRACTICES 1. The assessments/assignments reflected what was covered in the course. 2. The grades I have received thus far reflect the QUALITY of my performance in the course. 3. The criteria for good performance on the assignments or assessments were clearly communicated. The assessments/assignments reflected what was covered in the course. The grades I have received thus far reflect the QUALITY of my performance in the course. The criteria for good performance on the assignments or assessments were clearly communicated. The instructor’s evaluation of my performances was constructive. LEARNING EXPERIENCE SUBSCALE ANALYSIS: ASSESSMENT PRACTICES N 59595958 Mean3.543.373.473.48 Std. Deviation0.620.720.630.
- The instructor’s evaluation of my performances was constructive.
University of Southern California
- Report Comments Please download and save a PDF copy of this report Project Title Courses Audience Responses Received Response Ratio Individual Report for Instructor Wang (30000-20201 : CSCI-360 Introduction to Artificial Intelligence (30000)): Learning Experience Evaluations - Spring 2020 : 27.98% :^218 :
- Creation Date: Wednesday, May 27,
- University of Southern California COURSE DESIGN 1. The course objectives were well explained. 2. The course assignments were related to the course objectives. 3. I understood what was expected of me in this course. The course objectives were well explained. The course assignments were related to the course objectives. I understood what was expected of me in this course. LEARNING EXPERIENCE SUBSCALE ANALYSIS: COURSE DESIGN N 605858 Mean3.533.663.60 Std. Deviation0.570.550.
- University of Southern California INSTRUCTIONAL PRACTICES 1. The instructor carefully explained difficult concepts, methods, and subject matter. 2. The instructor encouraged me to do my best work. 3. The instructor encouraged questioning and discussion of course topics from the students The instructor carefully explained difficult concepts, methods, and subject matter. The instructor encouraged me to do my best work. The instructor encouraged questioning and discussion of course topics from the students LEARNING EXPERIENCE SUBSCALE ANALYSIS: INSTRUCTIONAL PRACTICES N 606060 Mean3.473.433.35 Std. Deviation0.600.590.
- University of Southern California COURSE IMPACT 1. I learned perspectives, principles, or practices from this course that I expect to apply to new situations. 2. This course challenged me to think critically and communicate clearly about the subject. 3. This course provided me with information that may be directly applicable to my career or academic goals. I learned perspectives, principles, or practices from this course that I expect to apply to new situations. This course challenged me to think critically and communicate clearly about the subject. This course provided me with information that may be directly applicable to my career or academic goals. LEARNING EXPERIENCE SUBSCALE ANALYSIS: COURSE IMPACT N 595858 Mean3.513.533.53 Std. Deviation0.600.570.
Is there additional information or feedback that you would like to share with instructor Students I think the teaching contents and homework assignments can be harder. I understand CS360 is an introduction level class, but the three coding projects you gave this semester are way too simple. We are almost simply implementing the pseudo code on the slides and it is not challenging at all. I believe this class can be more interesting if the coding project becomes something like image classification, adversarial search in real computer games, etc. After all, thank you for teaching us CS360 this semester! Thank you for making AI lectures so entertaining! I think the 5–minute break during lectures is effective in getting our concentration back :) You are an amazing teacher and were very helpful Thanks for the great semester! I feel like real time lectures could still be conducted when we switched to online classes, and the lectures could be recorded for people who arent able to make the real time lectures Very clear instructions and concept description! I really like Professor Chao, but I think that he needs to take more control of the class piazza. There were a lot of really aggressive posts both from students and some of his TAs that I think were not appropriate for an academic environment. The midterm/final review could be a bit better. Also some more Piazza interaction would be appreciated since it's empty sometimes. The T/A's try and do a good job but sometimes their answers aren't the best. The classes in person were great. I wish you were a bit more responsive on Piazza, or that the TAs were better at answering things and knowing what was going on. The recordings for online classes were great, but made it harder for students to ask questions about lectures. Enjoyed your lectures, and thought they were good at explaining tougher concepts Fantastic course, thanks for always being a pleasure to attend class to listen to! I genuinely liked Prof Wang's style of teaching. I think that he made class fun and interesting, often comparing our subject matter to outside material. However, I think that we could do more examples in class that are similar to the exam questions that could prepare us for how test questions look. Chao Wang?
prof, you're very funny during lecture. It helps with the flow of the class. I understand that office hours in a class this large was tough. But there are times I want to ask questions about AI out of class but I didn't get the impression I could approach you with them. Piazza is unfortunately not a substitute for inter person communication. this course became extremely stressful and stress inducing ever since i did badly on the first assignment (because I forgot to recomment in one line of code before submitting), and when me and countless other student came to speak to you, i felt as though you were very unresponsive and not sympathetic. it felt as though you weren't really rooting for our success. The lecture size was large, but I think more engagement with the class and the students would have been helpful. During the midterm review, it was supposed to be a time to review and ask questions about things we didn't understand but our questions were hardly answered or we were told to figure it out on our own which defeated the purpose of having a review. Wang is an awesome teacher. I just would like him to improve getting back to us when we send emails or ask questions on Piazza. I enjoyed the course! Your explanations made a 2 hour lecture bearable. Please, don't change. With only three programming assignments, the class was overly theory–oriented, and there was no chance to practice or implement much of what we learned in the course. I think there should have been more programming assignments. Great job. Very clear instruction, great explanation of difficult concepts, well–crafted and relevant assignments and testing. I always felt that I knew what was expected and was given the tools and material to succeed. Thank you! outstanding professor!
University of Southern California
University of Southern California Number of Instructor Interactions Outside of Class 1. Approximately how many times did you interact with instructor Chao Wang outside of class? (e.g., via email, office hours) Approximately how many hours did you spend on coursework outside of the classroom? 1. Approximately how many hours did you spend on coursework outside of the classroom? In what ways have you participated in your learning for this course? (Please select all that apply.)STUDENT ENGAGEMENT ANALYSIS
Please describe the LEAST valuable aspect(s) of this course. Comments – Too simple homework. – Recorded lectures. Nothing :) THE WHOLE COURSE WAS REVIEW, A LOT OF STUDENTS FELT UNSTIMULATED WITH THE COURSE CONTENT ASIDE FROM A FEW THINGS. N/A Going over DFS/BFS. All very useful. Graph searches at the start of the course since previous classes already teach these. Felt unnecessary. Probability Theory Pre–recorded lectures were not very useful or conducive to engagement in my opinion It seems that we will never implement or use some of the topics that we have covered in class. Other than that, it was a valuable learning experience. The grading process seemed a little inaccessible. the coding assignments were TOUGH Project 1 was least valuable, as I learned very little from the assignment yet the assignment was unnecessarily difficult. The lectures instructor not answering my email I wish we had spent more time on the concepts covered in the last 4 weeks of the course. Neural networks, MDPs, reinforcement learning, and decision trees are all pretty challenging topics, and I feel like we only scratched the surface with them. I understand some topics require a longer introduction (probability theory for Bayesian networks, for example), but I think we spent several weeks at the beginning of the class reviewing concepts that we have all learned in other classes (DFS, BFS, A star, first–order logic, etc). Maybe this means that CS 170 and 103 or 104 and even MATH 407 should be pre–requisites (since most students have taken them anyways) – this would allow us to speed through the topics we've already covered and to spend more time on new, more AI– related topics that I think we all wanted to further explore
N/A With only three programming assignments, the class was overly theory–oriented, and there was no chance to practice or implement much of what we learned in the course. I think there should have been more programming assignments. I especially would have liked a programming assignment related to machine learning, but now I feel that what I learned about machine learning is not complete because there was never a chance to practice it. I felt that all the time I spent in the class and doing classwork was valuable to learning the material. Not allowing students to share test cases lead to a lot of wasted time. Usually there test case creating is a good way to get multiple perspectives on the problem, but by forcing us to use our own test cases, testing became more tedious than interesting.
University of Southern California
Overall, how would you rate Instructor 1. Overall, how would you rate Instructor Overall, how would you rate this course? 1. Overall, how would you rate this course? Statistics Response Count Mean Median Mode Standard Deviation VITERBI SUPPLEMENTAL QUESTIONS Chao Wang Chao Wang? Value4.184.000.83 605?
Statistics Response Count Mean Median Mode Standard Deviation Value3.804.000.92 (^604)
University of Southern California
