TEACHER ASSESSMENT REPORT 2006/2007 Semester 2, CS3243

STUDENTS' RATINGS ON TEACHER

Faculty Member:	LEONG WING LUP, BEN
Department:	COMPUTER SCIENCE	Academic Year:	2006/2007
Faculty:	SCHOOL OF COMPUTING	Semester:	2

Module:	FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243
Activity Type:	LECTURE

Class Size / Response Size / Response Rate :

63 / 37 / 58.73%

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.	4.459	0.730	3.889 ( 3.852)	3.872 ( 3.875)
2	The teacher provides timely and useful feedback.	4.459	0.730	3.905 ( 3.832)	3.900 ( 3.907)
3	The teacher is approachable for consultation.	4.378	0.828	3.941 ( 3.856)	3.949 ( 3.957)
4	The teacher has helped me develop relevant research skills.*	NA	NA	NA	NA
5	The teacher has increased my interest in the subject.	4.216	0.917	3.776 ( 3.746)	3.765 ( 3.781)
6	The teacher has helped me acquire valuable/relevant knowledge in the field.	4.189	0.845	3.916 ( 3.856)	3.921 ( 3.902)
7	The teacher has helped me understand complex ideas.	4.243	0.863	3.849 ( 3.766)	3.832 ( 3.815)
	Average of Qn 1-7**	4.324	0.820	3.879 ( 3.818)	3.873 ( 3.873)
8	Overall the teacher is effective.	4.432	0.801	3.948 ( 3.834)	3.948 ( 3.908)

* This includes skills in research methodology, research problems/questions, literature search/evaluation, oral presentation and manuscript preparation.

** If Qn 4 is NA, it will not be included in the computation of average score (Average of Qn 1-7).

Frequency Distribution of responses for Qn 8

Nos. of Respondents(% of Respondents)

	\|
ITEM\SCORE	\|	5	4	3	2	1
	\|
Self	\|	22 (59.46%)	10 (27.03%)	4 (10.81%)	1 (2.70%)	0 (.00%)
Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Department	\|	113 (20.36%)	281 (50.63%)	127 (22.88%)	24 (4.32%)	10 (1.80%)
Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Faculty	\|	216 (21.88%)	521 (52.79%)	205 (20.77%)	33 (3.34%)	12 (1.22%)

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.

STUDENTS' COMMENTS ON TEACHER

Faculty Member:	LEONG WING LUP, BEN
Department:	COMPUTER SCIENCE	Academic Year:	2006/2007
Faculty:	SCHOOL OF COMPUTING	Semester:	2

Module:	FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243
Activity Type:	LECTURE

Q9	What are the teacher's strengths?
1.	Young.
2.	Humorous
3.	Good at summary main points of the lecture. Enthusiastic
4.	Mr. Ben is very handsome, attractive and so smart. He is so adorable.
5.	Fleixible with regards to time spent on module topics. Focuses more time on parts where students desire more focus on. A bit too flexible on everything else as well, including grading criteria dictated by students.
6.	excellent teacher. great knowledge. extremely hard working and dedicated
7.	Interesting, hardworking
8.	he really makes us think about the subject. one of the few lecturers who truly cares about the students. lol he keeps saying he is kind and just. well that is true anyway :)
9.	Committed teacher, hilarious
10.	He is friendly and enthusiastic. He explains the materials very well, and encourages the students to think and ask questions.
11.	Always seeking student's opinion.
12.	He shows students up front that he knows his stuff well. However, he might face difficulty in translating his concepts in his mind to words so that students may understand.
13.	Willing to put in the effort. Wants his students to learn. Tries to makes projects interesting.
14.	lively lectures and approachable
15.	Very Enthu.. Very Open.. Very Responsive to comments.. Very Democratic.. Sets reasonable test papers.. Very Hardworking also (i think).. Returning our test papers, project proposals all within 1 week considering he has no TA.. :) Keep it up!
16.	Ben is able to communicate ideas very well. I appreciate his efforts to get us to talk more in class and to learn how to learn. His classes are entertaining and enlightening and the amount of effort he puts into preparing the material for this module is apparent and, also, much appreciated.
17.	put in a lot of effort to make sure students learn something from the correct way of learning... good anticipation of areas where most students will struggle
18.	friendly, approachable, hardworking, open minded.

Q10	What improvements would you suggest to the teacher?
1.	Slow down. Speaks less singlish please. Can't understand those strange words. Consider more the fair competition in the projects. Some ppl don't have linux installed. We don't even know how to use it. And running the tank game on windows is rather SLOW!!!!!!
2.	Speak slower
3.	Give more exercise
4.	He is perfect. No need to improve.
5.	try to be more assertive.
6.	Clearer in concept
7.	nothing much tho.one of my frds say you are too young.:X perhaps hmm you can get older?
8.	Speak more clearly.
9.	As the lectures are in good shape already, maybe he can spend 5 to 10 minutes each session to talk more about what is going on in the field of AI. Real life applications, researches, competitions or other interesting news.
10.	Slow down and pay more attention to students who are suffering and not smart students who do not really need your help.
11.	Exam kinda sucked. Less questions, more thinking would have been better :)
12.	Dun be late for Tutorial..
13.	Speaks a bit too fast, occasionally.
14.	NIL

STUDENTS' RATINGS ON TEACHER

Faculty Member:	LEONG WING LUP, BEN
Department:	COMPUTER SCIENCE	Academic Year:	2006/2007
Faculty:	SCHOOL OF COMPUTING	Semester:	2

Module:	FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243
Activity Type:	TUTORIAL

Class Size / Response Size / Response Rate :

63 / 37 / 58.73%

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.	4.432	0.728	3.930 ( 3.795)	3.933 ( 3.827)
2	The teacher provides timely and useful feedback.	4.432	0.728	3.960 ( 3.791)	3.987 ( 3.851)
3	The teacher is approachable for consultation.	4.297	0.812	4.021 ( 3.803)	4.044 ( 3.847)
4	The teacher has helped me develop relevant research skills.*	NA	NA	NA	NA
5	The teacher has increased my interest in the subject.	4.324	0.852	3.801 ( 3.699)	3.807 ( 3.728)
6	The teacher has helped me acquire valuable/relevant knowledge in the field.	4.243	0.830	3.927 ( 3.791)	3.941 ( 3.833)
7	The teacher has helped me understand complex ideas.	4.324	0.818	3.923 ( 3.759)	3.919 ( 3.787)
	Average of Qn 1-7**	4.342	0.790	3.927 ( 3.773)	3.938 ( 3.812)
8	Overall the teacher is effective.	4.459	0.767	3.986 ( 3.799)	4.007 ( 3.854)

Nos. of Respondents(% of Respondents)

	\|
ITEM\SCORE	\|	5	4	3	2	1
	\|
Self	\|	22 (59.46%)	11 (29.73%)	3 (8.11%)	1 (2.70%)	0 (.00%)
Teachers teaching all Modules of the Same Activity Type (Tutorial), at the same level within Department	\|	107 (19.38%)	265 (48.01%)	152 (27.54%)	18 (3.26%)	10 (1.81%)
Teachers teaching all Modules of the Same Activity Type (Tutorial), at the same level within Faculty	\|	166 (18.97%)	465 (53.14%)	206 (23.54%)	26 (2.97%)	12 (1.37%)

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.

STUDENTS' COMMENTS ON TEACHER

Faculty Member:	LEONG WING LUP, BEN
Department:	COMPUTER SCIENCE	Academic Year:	2006/2007
Faculty:	SCHOOL OF COMPUTING	Semester:	2

Module:	FOUNDATIONS OF ARTIFICIAL INTELLIGENCE - CS3243
Activity Type:	TUTORIAL

Q9	What are the teacher's strengths?
1.	Good at summary main points of the lecture. Enthusiastic
2.	Willing to go through concpets in tutorials rather than just the questions themselves. Makes understanding module topics much easier.
3.	Interesting, hardworking
4.	same as above
5.	Committed tutor
6.	He explains the problems clearly. The brief revision at the beginning of the tutorials is very useful.
7.	Explains concepts well
8.	It is a good idea to reiterate the concepts that are very briefly taught in lecture.
9.	Willing to put in the effort. Wants his students to learn. Tries to makes lessons interesting.
10.	Ben's method of turning tutorials into an interactive review of the previous lecture's material, rather than merely going through answers, is effective in clarifying doubts and making the material comprehensible.
11.	same as above

Q10	What improvements would you suggest to the teacher?
1.	Give more exercise
2.	Clearer in concept
3.	same as above
4.	Speak more clearly.
5.	He said there may be some questions to solve on-the-spot but during the semester all the questions are published before the tutorials. I think on-the-spot questions would be fun.
6.	He needs to manage time properly so that he can cover all the tutorial questions.
7.	None.
8.	same as above

STUDENTS' NOMINATIONS FOR BEST TEACHING

Faculty Member:	LEONG WING LUP, BEN
Department:	COMPUTER SCIENCE	Academic Year:	2006/2007
Faculty:	SCHOOL OF COMPUTING	Semester:	2

Module Code:

CS3243

No of Nominations:

1.	By far the most enthusiastic professor i have come across. Has put in a lot of effort to make the course interesting.
2.	He's enthusiastic and hard working. He helps me broaden my knowledge
3.	he is a great teacher, very smart and caring.
4.	He makes an effort to make sure every student understands the teaching material. Thus he is very willing to set aside time for consultation. His lectures and tutorials are never boring, in fact his constant interaction with students during lectures keep you on your toes, as such I've gained alot from his teachings.
5.	He is one of the best teachers I have had in NUS. He has increased my interest in this subject. Extremely hard working. Takes pains to make sure that students understand what's going on in the class. It shows that he is really concerned about students actually learning the module.
6.	darn i dunno whom I should be nominating .. i mean ben or mr hugh...anyway finally did a coin flip lol.. he is undoubtedly one of the best prof in computing. glad to be in this module for this sem. learned loads of stuff about AI. and the projects truly blew my mind. Excellent job !prof
7.	He is a good lecturer. Although he said Artificial Intelligence is not his field, he did put a lot of efforts in teaching and organizing small contests for the projects. I would like to thank him for being my lecturer this semester.
8.	Fantastic lecturer, teacher and mentor. Understands the needs of a university student, always making sure that we know what's going on. Doesn't fail to clarify concepts in lectures or in tutorials.
9.	Willing to put in so much effort to teach AI, though his specialization is in networking. Such effort is commendable, especially since he is an NUS lecturer.
10.	Very Open, Very Democratic, Very Hardworking, Very Enthu, Very Funni, Very Interesting...
11.	I can really learn a lot from this module.
12.	He not only teaches us foundations of AI but more often than not, emphasize on what we as students should learn how to learn independently. He enlightens me that both technical skills and soft skills are important when we go out to work, so we should not neglect the latter.