| Faculty Member: | LEONG WING LUP, BEN | ||
| Department: | COMPUTER SCIENCE | Academic Year: | 2007/2008 |
| Faculty: | SCHOOL OF COMPUTING | Semester: | 2 |
| Module: | FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243 |
| Activity Type: | LECTURE |
| Class Size / Response Size / Response Rate : | 71 / 40 / 56.34% |
| Qn | Items Evaluated | Fac. Member Avg Score | Fac. Member Avg Score Std. Dev | Dept Avg Score | Fac. Avg Score |
|---|---|---|---|---|---|
| (a) (b) | (c) (d) | ||||
| 1 | The teacher has enhanced my thinking ability. | 4.100 | 0.591 | 3.879 ( 3.815) | 3.876 ( 3.843) |
| 2 | The teacher provides timely and useful feedback. | 4.225 | 0.480 | 3.884 ( 3.754) | 3.907 ( 3.844) |
| 3 | The teacher is approachable for consultation. | 4.125 | 0.686 | 3.928 ( 3.824) | 3.954 ( 3.920) |
| 4 | The teacher has helped me develop relevant research skills.* | NA | NA | NA | NA |
| 5 | The teacher has increased my interest in the subject. | 4.075 | 0.694 | 3.765 ( 3.706) | 3.778 ( 3.734) |
| 6 | The teacher has helped me acquire valuable/relevant knowledge in the field. | 3.975 | 0.768 | 3.905 ( 3.799) | 3.926 ( 3.852) |
| 7 | The teacher has helped me understand complex ideas. | 3.875 | 0.791 | 3.835 ( 3.685) | 3.838 ( 3.734) |
| Average of Qn 1-7** | 4.063 | 0.679 | 3.866 ( 3.764) | 3.880 ( 3.821) | |
| 8 | Overall the teacher is effective. | 4.100 | 0.632 | 3.933 ( 3.786) | 3.946 ( 3.845) |
| Nos. of Respondents(% of Respondents) |
| | | ||||||
ITEM\SCORE | | | 5 | 4 | 3 | 2 | 1 |
| | | ||||||
Self | | | 10 (25.00%) | 24 (60.00%) | 6 (15.00%) | 0 (.00%) | 0 (.00%) |
Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Department | | | 114 (21.76%) | 242 (46.18%) | 123 (23.47%) | 32 (6.11%) | 13 (2.48%) |
Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Faculty | | | 189 (24.97%) | 346 (45.71%) | 159 (21.00%) | 42 (5.55%) | 21 (2.77%) |
Note:
1. A 5-point scale is used for the scores. The higher the score, the better the rating.
2. Fac. Member Avg Score: The mean of all the scores for each question for the faculty member.
3. Fac. Member Avg Score Std. Dev:
A measure of the range of variability. It measures the extent to which
a faculty member's Average Score differs from all the scores in the
faculty member's evaluation. The smaller the standard deviation, the
greater the robustness of the number given as average.
4. Dept Avg Score :
(a) the mean score of same activity type (Lecture) within the department.
(b) the mean score of same activity type (Lecture), at the same module level ( level 3000 ) within the department.
5. Fac. Avg Score :
(c) the mean score of same activity type (Lecture) within the faculty.
(d) the mean score of same activity type (Lecture), at the same module level ( level 3000 ) within the faculty.
| Faculty Member: | LEONG WING LUP, BEN | ||
| Department: | COMPUTER SCIENCE | Academic Year: | 2007/2008 |
| Faculty: | SCHOOL OF COMPUTING | Semester: | 2 |
| Module: | FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243 |
| Activity Type: | LECTURE |
| Q9 | What are the teacher's strengths? |
| 1. | Good communication skills. Good knowledge on the field |
| 2. | he does his best in students interest |
| 3. | Does not conduct boring lecturers |
| 4. | good in explanations, knows his stuff very well. |
| 5. | humourous and instills interest in students |
| 6. | Concern lecturer |
| 7. | approachable, and tries his best to teach. but as he himself has mentioned, he didn't teach very well this semester. i think AI is quite a difficult topic for students to understand during lectures. & maybe ben is really more suited for modules like cs3216. |
| 8. | Lectures are generally not boring. Leave out the nitty gritty details which is good, letting us have our own study to do |
| 9. | His lectures are interesting, and he gives very funny analogies. |
| 10. | He is a very friendly lecturer and helps us a lot by explaining concepts. He also enforces the importance of starting projects early so as not to follow the other students footsteps that didnt do well in their projects. |
| 11. | not sure |
| 12. | Explain using simple examples and terms to make the concepts more understandable. |
| 13. | Looks knowledgable |
| 14. | Ableto come out with interesting examples to explain unclear stuff. |
| 15. | Clear explanation. Very candid, not afaid to admit mistakes. Tries his best. |
| 16. | Always checks the mic can work for the webcast. |
| 17. | nil |
| 18. | He is very friendly. His knowledge is good. He concerns about students alot. |
| Q10 | What improvements would you suggest to the teacher? |
| 1. | No |
| 2. | Lower the speed of lecture |
| 3. | na |
| 4. | doing fine, would be better if not sick for a few weeks. take care. |
| 5. | n.a |
| 6. | more pratical exmples of AI in industry or other fields |
| 7. | Can perhaps try to speak slower |
| 8. | He slightly boast a bit too much about his past year AI students, in which not all students may like it. Also, the later half of the semester, the lectures seem to be a bit dry and the concepts are not explained as clear as in the first half of the semester. |
| 9. | none |
| 10. | Speak slower? |
| 11. | Speak slowly. Try to tonne down his voice, too Singlish. Try to be more patient with weaker students who may not get the idea straight away. |
| 12. | Can try to speak slower. |
| 13. | Talk slower :D, but webcast is good for this i guess :D |
| 14. | Little room for improvement. |
| 15. | nil |
| 16. | No need to improve. |
| Faculty Member: | LEONG WING LUP, BEN | ||
| Department: | COMPUTER SCIENCE | Academic Year: | 2007/2008 |
| Faculty: | SCHOOL OF COMPUTING | Semester: | 2 |
| Module: | FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243 |
| Activity Type: | TUTORIAL |
| Class Size / Response Size / Response Rate : | 31 / 18 / 58.06% |
| Qn | Items Evaluated | Fac. Member Avg Score | Fac. Member Avg Score Std. Dev | Dept Avg Score | Fac. Avg Score |
|---|---|---|---|---|---|
| (a) (b) | (c) (d) | ||||
| 1 | The teacher has enhanced my thinking ability. | 4.222 | 0.647 | 3.884 ( 3.866) | 3.857 ( 3.907) |
| 2 | The teacher provides timely and useful feedback. | 4.167 | 0.514 | 3.916 ( 3.876) | 3.926 ( 3.954) |
| 3 | The teacher is approachable for consultation. | 4.111 | 0.676 | 4.003 ( 3.913) | 4.007 ( 3.969) |
| 4 | The teacher has helped me develop relevant research skills.* | NA | NA | NA | NA |
| 5 | The teacher has increased my interest in the subject. | 4.111 | 0.583 | 3.753 ( 3.754) | 3.741 ( 3.807) |
| 6 | The teacher has helped me acquire valuable/relevant knowledge in the field. | 4.056 | 0.639 | 3.880 ( 3.823) | 3.869 ( 3.880) |
| 7 | The teacher has helped me understand complex ideas. | 4.111 | 0.676 | 3.875 ( 3.811) | 3.842 ( 3.862) |
| Average of Qn 1-7** | 4.130 | 0.613 | 3.885 ( 3.841) | 3.874 ( 3.896) | |
| 8 | Overall the teacher is effective. | 4.111 | 0.583 | 3.939 ( 3.874) | 3.928 ( 3.927) |
| Nos. of Respondents(% of Respondents) |
| | | ||||||
ITEM\SCORE | | | 5 | 4 | 3 | 2 | 1 |
| | | ||||||
Self | | | 4 (22.22%) | 12 (66.67%) | 2 (11.11%) | 0 (.00%) | 0 (.00%) |
Teachers teaching all Modules of the Same Activity Type (Tutorial), at the same level within Department | | | 103 (24.58%) | 194 (46.30%) | 96 (22.91%) | 18 (4.30%) | 8 (1.91%) |
Teachers teaching all Modules of the Same Activity Type (Tutorial), at the same level within Faculty | | | 157 (25.49%) | 303 (49.19%) | 122 (19.81%) | 22 (3.57%) | 12 (1.95%) |
Note:
1. A 5-point scale is used for the scores. The higher the score, the better the rating.
2. Fac. Member Avg Score: The mean of all the scores for each question for the faculty member.
3. Fac. Member Avg Score Std. Dev:
A measure of the range of variability. It measures the extent to which
a faculty member's Average Score differs from all the scores in the
faculty member's evaluation. The smaller the standard deviation, the
greater the robustness of the number given as average.
4. Dept Avg Score :
(a) the mean score of same activity type (Tutorial) within the department.
(b) the mean score of same activity type (Tutorial), at the same module level ( level 3000 ) within the department.
5. Fac. Avg Score :
(c) the mean score of same activity type (Tutorial) within the faculty.
(d) the mean score of same activity type (Tutorial), at the same module level ( level 3000 ) within the faculty.
| Faculty Member: | LEONG WING LUP, BEN | ||
| Department: | COMPUTER SCIENCE | Academic Year: | 2007/2008 |
| Faculty: | SCHOOL OF COMPUTING | Semester: | 2 |
| Module: | FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243 |
| Activity Type: | TUTORIAL |
| Q9 | What are the teacher's strengths? |
| 1. | reinforces concepts learn in lecture |
| 2. | He is a very friendly lecturer and helps us a lot by explaining concepts. He also gives us a good summary before the tutorial starts so that everyone can understand what is required of us for the exams. |
| 3. | help review concepts we learn in lecture |
| 4. | Explain using simple examples and terms to make the concepts more understandable. |
| 5. | Can see his passion for teaching. Clear and brief in explanation. Good use of questions |
| 6. | nil |
| Q10 | What improvements would you suggest to the teacher? |
| 1. | doing good |
| 2. | The summary sometimes tend to take a bit too long, perhaps a bit more time could be spent going through some of the tutorial questions. |
| 3. | none |
| 4. | Speak slower? |
| 5. | nil |
| Faculty Member: | LEONG WING LUP, BEN | ||
| Department: | COMPUTER SCIENCE | Academic Year: | 2007/2008 |
| Faculty: | SCHOOL OF COMPUTING | Semester: | 2 |
| Module Code: | CS3243 | No of Nominations: | 10 |
| 1. | Dedicated lecturer who should be recognized. |
| 2. | Very interesting, feel very good and learn a lot of things from my lecturer. |
| 3. | He done much to plan and organize his lessons and project so that the subject is very interesting. Great effort |
| 4. | He tried harder. |
| 5. | He is so nice. He provides feedback for us. He answers questions in the forum. |
| 6. | he has very good teaching skills, such as he knows how to draw students' attention by using various methods. very clear. and he is also very easy-going. he helped me a lot and around my interest in the field of AI. thanks^_^ |