CERG Technical Report 99/001 DRAFT

Survey of SFT1101 students -Semester 1 1998

Project coordinator Judy Sheard

Data Analysis Selby Markham

This CERG Technical Report covers the data collected on the 1998 first semester intake into SFT1101.

The first survey was carried out at week 8 and a similar survey was given at week 13.

The surveys were administered in tutorial groups and the Tutors entered the results for their groups.

This report covers the basic analysis modes on sample characteristics plus some regression and correlation analyses. Further analyses will be carried out to investigate structural characteristics and will be reported if the results are useable.

Mid-semester survey

Sample Characteristics

Total number sampled n=284

Q.1 Age

Mean

SD

 

20.16

4.13

Q.2 Gender

N

%

Female

82

29

Male

202

71

Q.3 Computing Experience

N

%

Yes

175

62

No

107

38

Q.4 Course studied

N

%

BC

163

57

BIS

75

27

BB(Acc/BC

34

12

BB(BF)/BC

11

4

Q.5 Entry from School

N

%

Yes

200

70

No

82

29

Q.6 Full fee international

N

%

Yes

93

32.7

No

189

66.5

NR

2

0.7

Q.7 First choice of course

N

%

Yes

147

51.8

No

134

47.2

NR

3

1.0

Q.8 Reason for choosing course

N

%

Useful/Interesting

27

9.5

Computing + Business

25

8.8

Interested in computing etc.

78

27.5

Career/job opportunities

57

20.1

High standard/ reputation

10

3.5

Learn more about computing

6

2.1

Less technical course

4

1.4

Poor TER/ Didn't know what to do

18

6.3

Vague general +ve comment

8

2.8

Interest & challenge

4

1.4

Extend current skills/knowledge

6

2.1

External non-educational

4

1.4

NR

37

12.7

These categories were created through a content analysis of the open-ended responses.

The high rates for "Interest in computing" and "Career/job opportunities" are what would be expected from an undergraduate course.

Q.9 Career options

N

%

Accountancy

17

6.0

Banking/Finance

7

2.5

Business management / Marketing

20

7.0

Analyst/Programmer

128

45.1

Web-based

1

0.4

Consulting

2

0.7

Teaching

10

3.5

General computing/IT

16

5.6

Job I enjoy doing

2

0.7

Networking/Technical

19

6.7

DK/Not sure

24

8.5

System administration

8

2.8

NR

29

10.2

     

These categories were created through a content analysis of the open-ended responses.

Q.10 Study mode

N

%

FT

267

94.0

PT

15

5.3

NR

2

0.7

 

Q.11 Working

N

%

No

152

53.5

PT

111

39.1

FT

14

4.9

NR

7

2.5

 

 

Q.12 No of hours worked

Mean

SD

 

11.4

9.95

No relationship between hours worked and coping with course(Q.16).

 

 

Q.13 Other commitments

N

%

Yes

129

45.4

No

136

47.9

NR

16

6.7

These were mainly sport- based activities.

 

Q.14 1st attempt at subject

N

%

Yes

260

91.5

No

22

7.7

NR

2

0.7

 

Q.16 Coping with subject

N

%

Yes

152

53.5

Probably OK

2

0.7

Yes/No

10

3.5

Probably not

5

1.8

No

102

35.9

NR

8

2.8

 

Q.17 No of hours study SFT1101

Mean

SD

 

9.53

6.77

 

 

Q.18 Comparison with other subjects

N

%

Harder

178

62.7

Equal

84

29.6

Easier

22

7.7

NR

0

 

Q.33 Access SFT1101 Web page

N

%

5+

26

9.2

2-5

83

29.2

1-2

148

52.1

Never

12

4.2

NR

15

5.3

 

Q.33 C compiler at home

N

%

Yes

232

81.7

No

37

13.0

NR

15

5.3

 

Q.34 No. of SFTHELP visits

Mean

SD

 

2.0

2.82

Note : 20 No Responses

 

 

 

 

 

Attitude to subject activities

Attitude to classes (Qs20-22)

   
 

Mean

SD

Lectures

   

Discussion classes

1.77

0.77

Lab classes

1.58

0.71

 

Attitude to Resources (Qs 23-31)

   
 

Mean

SD

Notes

1.66

0.71

Text book

2.43

0.92

Group exercises

2.06

0.81

Comp. Lab exercises

1.68

0.72

Assignments

1.56

0.70

Other students

2.02

0.86

Your tutor

1.57

0.68

SFT1101 Web page

2.22

0.83

SFTHELP

2.17

1.06

 

Intercorrelations between the Class and Resource attitudes show no consistent pattern of relationships except for the obvious ones - lab classes by lab exercises, lectures by lecture notes etc.

From a regression analysis, the most significant impact on coping with the course from the attitudes to the course is the usefulness of the tutor. Lectures and assignments have the next highest impacts but far less than that for the tutor.

Attitude to subject activities based on Tutor

 

Attitude to classes

   
 

Significant difference

Probable source

Lectures

Yes

Ts 5,9,16 +

Ts 3,6,11,12,14 -

Discussion classes

Yes

Ts 8,11 +

Ts 3,4,6,9 -

Lab classes

No

 

 

Attitude to Resources

   
 

Significant difference

Probable source

Notes

No

 

Text book

No

 

Group exercises

Yes

Ts 12,14 +

Ts 4,5,9,10 -

Comp. Lab exercises

No

 

Assignments

No

 

Other students

No

 

Your tutor

Yes

Unclear

SFT1101 Web page

No

 

SFTHELP

Yes

Ts 14, 16 +

Ts 4,6,12,13 -

 

 

 

Study hours

   
 

Significant difference

Probable source

 

Yes

The significant difference is a result of one tutor group being highly deviant against the others.

 

Analysis by Course being studied

Nothing useful on attitudes

Nothing useful on study pattern

No difference on being first choice of course

Analysis by Full Fee Paying versus Non-full fee

Nothing useful

Analysis by gender

There were few differences based on gender.

Females are more likely to have had some programming study or experience before starting the subject. But all those (5 only) who indicated more extensive experience were males.

Females were more likely to see SFT1101 as more difficult than their other subjects and were more likely to say that they were not keeping up with their work in the subject.

Females tended to see their tutor as less useful than were males but the difference is marginal (0.2 scale points).

Analysis by Repeat versus First Time student

There were no differences on this breakdown of the data.

Analysis by having part time work.

There was a marginal difference in how discussion classes were percieved with those working part time seeing them as less useful.

An uninterpretable result was found on the use of the SFT1101 Web site. It suggested that those doing part time work are more likely to be higher on heavy (5+) and low use (1-2) while those with no job will have higher medium (3-5) and non use (never).

 

Week 13 survey

 

Q.6 No of hours worked

Mean

SD

 

16.4

13.95

Reported part time work hours have increased by the end of semester.

 

Q.8 Hours on other commitments

Mean

SD

 

7.65

6.65

 

Q.13 No of hours study SFT1101

Mean

SD

 

9.29

7.44

There is a marginal drop in hours worked from the first survey. This has to be balanced against the fact that some students in the first survey reported very large weekly hours.

 

Confidence variables

 

Confidence

   
 

Mean

SD

in assignments

2.97

1.01

about exams

3.12

1.05

for next semester

3.22

1.07

This appears to show that students were not very confident about the tasks and future.

The intercorrelations between the confidence variables show that students are relatively consistent in the way they rate the 3 items.

Attitude to subject activities

Attitude to classes

   
 

Mean

SD

Lectures

1.88

0.78

Discussion classes

1.81

0.82

Lab classes

1.65

0.77

 

Attitude to Resources

   
 

Mean

SD

Notes

1.60

0.71

Text book

2.65

0.93

Group exercises

2.13

0.81

Comp. Lab exercises

1.71

0.66

Assignments

1.65

0.69

Other students

2.12

0.89

Your tutor

1.57

0.68

SFT1101 Web page

2.35

0.68

SFTHELP

2.35

1.12

There is no significant change between mid-semester and end of semester on any of the attitude variables.

 

Relationship between attitudes to subject and confidence

There is little direct relationship between confidence and the attitudinal variables.

The odd, interesting result is that there is an inverse relationship between confidence and Other students. That is, if you are confident you see other students as less useful and vice versa.

Tutors have no relationship to reported confidence.

A regression model was generated using the sum of the three confidence measures as the dependant variable. This model indicated that there was little potential causal relationship between the attitude variables and confidence.

Working on the assumption that the expected grading for the final result for SFT1101 could be seen as a quasi-continuous variable, the attitude variables were regressed on this. This regression model failed to produce an effective picture although there is some indication that the usefulness of assignments and lecture notes contribute to perceived course performance.

Tutor groups

There is no relationship between tutor groups and the three confidence variables.

With the attitudinal variables, a similar pattern of results was found as for the first survey but this was confounded by the fact that two very small groups were consistently different from most of the rest.

Analysis by Full Fee Paying versus Non-full fee

In this survey differences did appear between fee paying status groups.

All confidence questions were rater lower by full fee students.

Full fee students saw the Discussion Classes as more useful but the result is practically marginal (0.24 of a scale point).

The full fee group used the SFT1101 Web page less than the other group.

Analysis by having part time work.

There was less difference in this survey but the odd Web page useage result was maintained.

 

Analysis by Repeat versus First Time student

A difference which appeared in this survey was that Repeat Students rated the usefulness of Lecture Notes lower than first time students.


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