STUDENTS' RATINGS ON TEACHER
Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2
Module:DATA STRUCTURES AND ALGORITHMS - CS1102X
Activity Type:LECTURE
Class Size  /  Response Size  /  Response Rate/  Contact Session/  Teaching Hour : -   /  94  /   -   /  null  /  null
QnItems EvaluatedFac. Member Avg ScoreFac. Member Avg Score Std. DevDept Avg ScoreFac. Avg Score
(a)     (b)(c)     (d)






1The teacher has enhanced my thinking ability. 4.021 0.688 3.961 ( 3.923) 3.878 ( 3.824)
2The teacher provides timely and useful feedback. 3.968 0.725 3.969 ( 3.900) 3.913 ( 3.841)
3The teacher is approachable for consultation. 4.077 0.687 4.047 ( 3.979) 3.989 ( 3.917)
4The teacher has helped me develop relevant research skills.*NANANANA
5The teacher has increased my interest in the subject. 3.734 0.845 3.841 ( 3.776) 3.766 ( 3.687)
6The teacher has helped me acquire valuable/relevant knowledge in the field. 3.979 0.703 3.995 ( 3.938) 3.934 ( 3.879)
7The teacher has helped me understand complex ideas. 3.904 0.749 3.927 ( 3.897) 3.845 ( 3.813)
Average of Qn 1-7 3.947 0.740 3.956 ( 3.902) 3.888 ( 3.826)
8Overall the teacher is effective. 3.989 0.696 4.021 ( 3.974) 3.946 ( 3.899)

* 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

|

20 (21.28%)

55 (58.51%)

17 (18.09%)

2 (2.13%)

0 (.00%)

Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Department

|

477 (23.77%)

1088 (54.21%)

371 (18.49%)

54 (2.69%)

17 (.85%)

Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Faculty

|

560 (20.39%)

1490 (54.24%)

587 (21.37%)

80 (2.91%)

30 (1.09%)

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 1000 ) 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 1000 ) within the faculty.

STUDENTS' COMMENTS ON FACULTY MEMBER

Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2
Module:DATA STRUCTURES AND ALGORITHMS - CS1102X
Activity Type:LECTURE

Q9  What are the teacher's strengths?
1.-
2.NA
3.interesting
4.Approachable and care for his students
5.This teacher is extremely good at explaining the concepts.
6.Talks very well
7.Knowledgable and tries to engage students in discussion.
8.Dr Kan Min-Yen did a good job in engaging the students and making them think.
9.good lecture slides. good pace of the lecture make us think during the lecture
10.He is good in teaching the more difficult content in a simple way.
11.He'll use diagrams to aid in his explanation during lecture which I find useful.
12.Able to convey ideas to me across lecture style environment. Use of devices for interactive learning and participation.
13.NA
14.able to engage with the students,making lecture more active and fun
15.he used a Classromm Response System(some sort of polling system) in order to engage students by letting students respond to certain 'checkpoint' questions at intervals during the lectures, which is kind of a nice way to see if you've understood the material.
16.encourage interactive learning by using the feedback device
17.Interesting teaching style
18.Detailed on explaining complex ideas during lectures. Lectures done by him progress in a comfortable and easily followed pace.
19.He is very good at explaining the codes and gives clear explanation
20.Very Friendly
21.
22.on presenting the lecture with a lot interesting
23.He is able to explain his concept clearly. He can articulate well.
24.Dr Kan is very patient, always make sure that we understand the topics before moving on. He is willing to take his time to explain difficult concepts or problems to students, and he is able to explain every concepts or theory clearly.
25.introduce new equipment interactive exercises
26.Good English accent, provide enough code throughout the course
27.N/A
28.Extremely patient with weaker students.
29.Uses classroom response system which encourages students to participate actively.
30.N.A.
31.Good knowledge, enthusiastic.
32.smart and professional in his teaching style.
33.Responsible, relatively clear presentation
34.very kind
35.nice...
36.His English is quite good, and make the lecture interactively.
37.Good pronunciation and accent
38.logical
39.N.A.
40.helps us concentrate by asking questions now and then during lectures, sometimes humourous
41.his knowledge is quite abundant
42.Clear, concise. Speaks fluently. Easy to understand. Can tell that done alot of preparation before hand. Lectures are well structured, good flow.
43.he makes the lecture engaging by making the students participate in the lecture.
44.very clear
45.He is approachable and teaches the module in a fun way. He prepares questions in his lecture notes and we use a device that is similiar to the device used in 'Who Wants to be a Millionaire?' to answer. His lecture notes are comprehensive and he makes an effort to prepare the Java codes in the lecture notes for reference.
46.he is able to engage me attentively during lecture with all the strong vocabulary he used
47.Good communication skill and knowledgable.
48.The lectures are made rather interesting as students are involved in trying out some of the questions through the response system. Since most students are rather shy to speak up during lectures, I think the student response system is a rather good way for students to clarify their doubts.
49.he is very specific on the things he says. Very straight to the point.

Q10  What improvements would you suggest to the teacher?
1.-
2.NA
3.Keep it up! :)
4.Try to speak in a more natural voice.
5.generally quite good
6.nil.
7.Speed is a little fast.
8.NIL.
9.NA
10.a little bit more elaboration on the mcqs in class
11.try to speak in a more lively manner to make students attentive
12.Give more examples to illustrate the concept
13.n/a
14.None
15.
16.pls end on time! it is 15 mins earlier not 5 mins, or on the dot!
17.Can make lectures easier to understand.
18.Sometimes, Min takes a long time to reply my email, perhaps he can improve on this.
19.na
20.Please set the paper easier for us, this time, the median was just 50 out of 100
21.N/A
22.Keep up the great work! =)
23.Could liven up the presentation.
24.i do not understand again whatever he said, he over-estimated the ability of the students which has no background and set the exam question so high, PE very difficult
25.N.A.
26.teach slower
27.be more clear and not too fast during teaching
28.Be more interesting
29.your tone is very gentle, but don't use the same tone for the whole lecture, please...
30.Be more effectve
31.should make the notes original, not just copy from the textbook
32.N.A.
33.speak slowly and should put more module related information on the ivle
34.N.A.
35.maybe can try to make the lecture more interesting
36.more pasion
37.he is good enough.
38.speak too fast, maybe can slow down a little bit.
39.web cast
40.His lecture are still sometimes a little boring even though I know that he makes the effort to make it interesting. Maybe interesting jokes in class? :D
41.speak slower
42.N.A.
43.none

STUDENTS' RATINGS ON TEACHER
Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2
Module:DATA STRUCTURES AND ALGORITHMS - CS1102Y
Activity Type:LECTURE
Class Size  /  Response Size  /  Response Rate/  Contact Session/  Teaching Hour : -   /  49  /   -   /  null  /  null
QnItems EvaluatedFac. Member Avg ScoreFac. Member Avg Score Std. DevDept Avg ScoreFac. Avg Score
(a)     (b)(c)     (d)






1The teacher has enhanced my thinking ability. 4.102 0.653 3.961 ( 3.923) 3.878 ( 3.824)
2The teacher provides timely and useful feedback. 3.980 0.750 3.969 ( 3.900) 3.913 ( 3.841)
3The teacher is approachable for consultation. 4.152 0.729 4.047 ( 3.979) 3.989 ( 3.917)
4The teacher has helped me develop relevant research skills.*NANANANA
5The teacher has increased my interest in the subject. 3.878 0.857 3.841 ( 3.776) 3.766 ( 3.687)
6The teacher has helped me acquire valuable/relevant knowledge in the field. 4.143 0.736 3.995 ( 3.938) 3.934 ( 3.879)
7The teacher has helped me understand complex ideas. 4.041 0.735 3.927 ( 3.897) 3.845 ( 3.813)
Average of Qn 1-7 4.048 0.746 3.956 ( 3.902) 3.888 ( 3.826)
8Overall the teacher is effective. 4.163 0.717 4.021 ( 3.974) 3.946 ( 3.899)

* 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

|

16 (32.65%)

26 (53.06%)

6 (12.24%)

1 (2.04%)

0 (.00%)

Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Department

|

477 (23.77%)

1088 (54.21%)

371 (18.49%)

54 (2.69%)

17 (.85%)

Teachers teaching all Modules of the Same Activity Type (Lecture), at the same level within Faculty

|

560 (20.39%)

1490 (54.24%)

587 (21.37%)

80 (2.91%)

30 (1.09%)

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 1000 ) 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 1000 ) within the faculty.

STUDENTS' COMMENTS ON FACULTY MEMBER

Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2
Module:DATA STRUCTURES AND ALGORITHMS - CS1102Y
Activity Type:LECTURE

Q9  What are the teacher's strengths?
1.He can teach very well. Explanations are very clear, easy to understand. He makes the lecture interesting.
2.Humorous, very fluent English, very clear explanation, the class is interesting, excellent :)
3.Very approachable for consultation
4.He possess good language capability which enhances the lecture.
5.Very patient teacher
6.The teacher conducts question and answer segments during the lecture. It enables students to check whether a certain concept is grasped or understood.
7.The use of classroom response system(especially the questions that were gone through) greatly improves students' understanding of the topic.
8.always ready to help us, and very responsible.
9.the handheld devices he used for the qns in his class were fun to play with, and having definite answers to his qns were helpful. usage of the devices to answer qns also helped me pay more attention and participate more in class.
10.Speaks clearly at a good pace.
11.
12.Innovative use of technology
13.Makes use of interactive tools during lecture to enhance our learning experience and increase our participation during lectures.
14.interesting lectures with interactive system to ensure that we don't fall asleep during lectures and pay attention. clear explanations.
15.Presents interesting and useful questions during lecture that help understand key concepts. The use of the polling devices is new and keeps people awake.
16.Engages students.
17.he gave us quizes that test the concepts and the way of using the controller or something to input does increases the interactivity.
18.Clear in explaining concepts.
19.1) clear in his explanation 2) went through the examples in details clearly(harder codes) 3) provide actual codes in notes that is very helpful to us 4) approachable
20.Incorporated questions into the lecture, and used a device (forgot what it's called) to gather the students' answers.
21.- uses computer to go through certain concepts like linked list
22.He is approachable and nice.
23.Use of CPS helps to facilitate learning i think the use of CPS keep me awake from a very dry topic. CPS helps to facilitate participation in lecture.
24.Lectures were clear cut and understand. Used some answering tools in his lectures to aid his lessons which i found it quite useful. Crack some jokes in the middle of lessons to make the experience more interesting.
25.Prof Kan has an innovative style in approaching the lecture content and to promote active discourse through the Classroom Response System.
26.A controlled pace of teaching, is very effective in making the student understand the concept well
27.good communication skills. for most of the time he understand what was the question asked by students. give quality answers and feedback. approachable too. he knows the subject well and friendly! like the fact that he used the more interactive way to allow students participate during lectures
28.Make complex ideas easy to understand. Have good interaction with students.
29.I find that he is very effective in engaging students such as using a controller to generate a answer that students post and then go through the solution if the answer proved to be somehow unclear. He is also an effective speaker and I think that really helps so that the lecture will not turn out boring.
30.interactive lecture helps in understanding
31.Able to relate to problems that student faces and help out in his simple, yet very useful style of teaching.
32.Patient and approachable. I have a better understanding after his consultation.
33.- interesting approach in teaching with the new device - approachable and knowledgeable - ppt slides are clear and good

Q10  What improvements would you suggest to the teacher?
1.nil
2.Nothing much
3.Nothing to comment.
4.N.A.
5.personally i think lectures in labs would allow students to better understand how to code the data structures as opposed to just looking at the psuedocode on the slides.
6.
7.none
8.good
9.More time should be spent on recursion and lesser on Java basics. The crash course on java basics should be held in a smaller setting and only for those who get poor grades for CS1101 so that these weaker students can get more focused attention.
10.Provide more examples during lecture.
11.i could suggest that some of the lecture sessions could be better in a laboratory environment such as cs1101 as we could have more hands on practice.
12.NIL
13.1) could have gone slightly slower in explanation during lecture at some parts
14.NIL.
15.- speak slower abit
16.Sometimes he might just keep talking like there is no full stop in a sentence. He could make some short pauses before continuing
17.N.A.
18.We could have more number of quizzes during class
19.More examples and perhaps, more tricky questions!
20.Increase the pace of lectures.
21.N.A
22.- provide more examples to facilitate our understanding

STUDENTS' RATINGS ON TEACHER
Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2
Module:DATA STRUCTURES AND ALGORITHMS - CS1102X
Activity Type:TUTORIAL
Class Size  /  Response Size  /  Response Rate/  Contact Session/  Teaching Hour : -   /  18  /   -   /  null  /  null
QnItems EvaluatedFac. Member Avg ScoreFac. Member Avg Score Std. DevDept Avg ScoreFac. Avg Score
(a)     (b)(c)     (d)






1The teacher has enhanced my thinking ability. 4.278 0.669 3.917 ( 3.940) 3.902 ( 3.888)
2The teacher provides timely and useful feedback. 4.333 0.686 3.953 ( 3.951) 3.958 ( 3.941)
3The teacher is approachable for consultation. 4.333 0.686 4.017 ( 4.012) 4.007 ( 3.983)
4The teacher has helped me develop relevant research skills.*NANANANA
5The teacher has increased my interest in the subject. 4.222 0.878 3.773 ( 3.773) 3.756 ( 3.713)
6The teacher has helped me acquire valuable/relevant knowledge in the field. 4.333 0.686 3.910 ( 3.926) 3.900 ( 3.879)
7The teacher has helped me understand complex ideas. 4.278 0.669 3.916 ( 3.954) 3.894 ( 3.886)
Average of Qn 1-7 4.296 0.701 3.914 ( 3.926) 3.902 ( 3.881)
8Overall the teacher is effective. 4.333 0.686 3.974 ( 4.006) 3.962 ( 3.955)

* 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

|

8 (44.44%)

8 (44.44%)

2 (11.11%)

0 (.00%)

0 (.00%)

Teachers teaching all Modules of the Same Activity Type (Tutorial), at the same level within Department

|

286 (27.71%)

521 (50.48%)

183 (17.73%)

29 (2.81%)

13 (1.26%)

Teachers teaching all Modules of the Same Activity Type (Tutorial), at the same level within Faculty

|

404 (23.64%)

914 (53.48%)

318 (18.61%)

56 (3.28%)

17 (.99%)

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 1000 ) 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 1000 ) within the faculty.

STUDENTS' COMMENTS ON FACULTY MEMBER

Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2
Module:DATA STRUCTURES AND ALGORITHMS - CS1102X
Activity Type:TUTORIAL

Q9  What are the teacher's strengths?
1.Dr Kan Min-Yen did a good job in engaging the students and making them think.
2.standard English~ very attractive~
3.Being able to understand the answers/codes provided by the student on the spot enables him to give prompt and accurate replies to any mistakes committed.
4.N/A
5.Good knowledge, enthusiastic.
6.be participative in conducting the tutorial
7.Responsible, clear in teaching
8.provided many opportunities for students to participate

Q10  What improvements would you suggest to the teacher?
1.N/A
2.Spend more time on basic ideas to form firm foundation. He focuses on a lot of difficult questions
3.not too demanding if the students cannot answer the questions
4.Give less stress to your students... I fear to go for his tutorial, if i am not prepared with the tutorial answers.
5.Please finish the tutorial on time, or students will be late for their next lectures.

STUDENTS' NOMINATIONS FOR BEST TEACHING

Faculty Member:  KAN MIN-YEN
Department:  COMPUTER SCIENCE Academic Year:  2008/2009
Faculty:  SCHOOL OF COMPUTING Semester:  2

Module Code:CS1102XNo of Nominations:7

1.Very clear in his speech Understandable Enjoyable Introduction of new equipments interactive
2.Prof Kan was probably the best lecturer out of all the modules I took. He gives well prepared lectures, speaks clearly and fluently. Easy to understand.


Module Code:CS1102YNo of Nominations:3

1.Interesting class. Explains knowledge clearly. Very fluent English.
2.he gives good explanation and for most of the time, he is approachable and available for consultation. Knows very well about the module he is teaching. He used a more interactive way to allow his students to participate during lectures and highlight key question to certain topics. He responded readily in the forum too.



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