Unisys Monash IT Summer School 2000
Judy Sheard
Selby Markham
Gordon Lowe
July 2000
Introduction
The second Unisys Monash IT Summer School was held in January 2000, following the first held in January 1999. The IT Summer School is a six day residential camp organised by the Faculty of Information Technology (FIT) for secondary school students about to enter Year 11.
The program is advertised to all Victorian secondary schools. Each school is asked to nominate two of their high achieving students who may or may not be interested in studying IT at university or pursuing a career in IT. In 1999 and 2000 sixty students were selected to participate from over 300 applicants. The selection aims for an equal mix of gender, government and private school students, and metropolitan and country school students.
The students live in the Halls of Residence at the Clayton campus and partake in a program of activities designed to show them various aspects of IT and the range of IT undergraduate courses available to them in the FIT courses. The IT Summer School also aims to give them a "taste" of university life. A major focus of this program is an IT related project which students work on for a total of 20 hours during the week. In 2000 staff in four Schools within FIT designed, developed and presented the following projects:
Details of the 2000 IT Summer School may be found at: http://www.infotech.monash.edu.au/summerschool/2000/index.html
A pre Summer School survey was carried out in the second Summer School in January 2000 to determine students’ initial interest in aspects of IT, intentions of studying IT at school and at the tertiary level, and intentions of pursuing a career in IT. A post Summer School survey was used to gauge if there were any changes in these. All the Summer School attendants, a total of 60 students, participated in the study.
A copy of the pre Summer School survey form can be found at: http://www.sd.monash.edu.au/selby/techreports/PreSurvey.pd
A copy of the post Summer School survey form can be found at: http://www.sd.monash.edu.au/selby/techreports/PostSurvey.pdf
Student Profile
Project Groups
All the students who attended the IT Summer School participated in the study (n=60). The students were allocated to the project groups as follows:
|
Project Title |
Number of students |
|
Smart House |
16 |
|
Met Ticketing |
15 |
|
Stock Exchange |
15 |
|
Web Programming |
14 |
Demographic Profile
Numbers of students in each project group classified according to gender, type of school attended and school location.
|
Project |
Gender |
School type |
School location |
|||
|
|
Female |
Male |
Government |
Private |
Metropolitan |
Country |
|
Smart House |
8 |
8 |
6 |
10 |
10 |
6 |
|
Met Ticketing |
6 |
9 |
7 |
8 |
9 |
6 |
|
Stock Exchange |
8 |
7 |
11 |
4 |
11 |
4 |
|
Web Programming |
6 |
8 |
6 |
8 |
7 |
7 |
|
Total |
28 |
32 |
30 |
30 |
37 |
23 |
Usage of Computers
Only one student of the 60 at the Summer School didn’t have access to a computer at home
For the following questions the students were asked how much use they made of computers for various activities. A 7-point Likert scale was used, where 1 indicates no use and 7 indicates lots of use. NR is used to indicate no response was given to the question.
How much use is made of computers at school for schoolwork?
|
Student Group |
Mean |
SD |
NR |
|
|
Gender |
Female |
5.1 |
1.3 |
0 |
|
Male |
4.6 |
1.7 |
3.1 |
|
|
School type |
Government |
4.6 |
1.5 |
0 |
|
Private |
5.1 |
1.6 |
3.2 |
|
|
School location |
Metropolitan |
5.0 |
1.6 |
0 |
|
Country |
4.6 |
1.6 |
4.3 |
|
How much use is made of computers at home for schoolwork?
|
Student Group |
Mean |
SD |
NR |
|
|
Gender |
Female |
5.9 |
1.1 |
0 |
|
Male |
5.9 |
1.4 |
0 |
|
|
School type |
Government |
6.0 |
1.0 |
0 |
|
Private |
5.8 |
1.5 |
0 |
|
|
School location |
Metropolitan |
5.9 |
1.3 |
0 |
|
Country |
5.8 |
1.3 |
0 |
|
For each classification the students used computers significantly more for schoolwork at home than at school. The standard deviations for both questions indicate there was more variation in the use of computers at school than at home.
How much do you use computers for communication? (e.g. email, newsgroups, chatting)
|
Student Group |
Mean |
SD |
NR |
|
|
Gender |
Female |
4.8 |
1.8 |
7.1 |
|
Male |
5.4 |
1.6 |
0 |
|
|
School type |
Government |
4.9 |
1.9 |
3.4 |
|
Private |
5.4 |
1.4 |
6.4 |
|
|
School location |
Metropolitan |
5.2 |
1.6 |
2.7 |
|
Country |
5.5 |
1.7 |
8.7 |
|
How much do you use computers for games?
|
Student Group |
Mean |
SD |
NR |
|
|
Gender |
Female |
3.6 |
1.6 |
3.6 |
|
Male |
5.8 |
1.6 |
0 |
|
|
School type |
Government school |
4.8 |
2.0 |
3.4 |
|
Private school |
4.8 |
2.0 |
0 |
|
|
School location |
Metropolitan school |
4.4 |
2.0 |
2.7 |
|
Country school |
5.3 |
1.8 |
0 |
|
How much do you use computers for general use (e.g. surfing the Internet, hobbies)?
|
Student Group |
Mean |
SD |
NR |
|
|
Gender |
Female |
5.0 |
1.7 |
0 |
|
Male |
6.1 |
1.1 |
0 |
|
|
School type |
Government |
5.4 |
1.7 |
0 |
|
Private |
5.7 |
1.5 |
0 |
|
|
School location |
Metropolitan |
5.6 |
1.5 |
0 |
|
Country |
5.5 |
1.7 |
0 |
|
For each of the above five questions t-tests were used to determine any differences in the means obtained for the students’ usage of computers when classified according to gender, type of school attended, or location of school. The only significant differences (p <= 0.05) occurred for gender. The male students used computers significantly more than female students for games and general use.
Prior experience in programming languages
The students were asked what programming languages they had used or studied. The mean number of programming languages is shown in the table below. Only five students had no prior experience with a programming language. Three students claimed to have experience with six languages and these were all male.
|
Student Group |
Mean |
SD |
NR |
|
Female |
1.4 |
1.0 |
0 |
|
Male |
2.9 |
1.8 |
0 |
|
Government |
2.0 |
1.5 |
0 |
|
Private |
2.3 |
1.8 |
0 |
|
Metropolitan |
2.2 |
1.6 |
0 |
|
Country |
2.2 |
1.8 |
0 |
t-tests were used to determine any differences in the means obtained when students were classified according to gender, type of school attended, or location of school. The only difference (p <= 0.05) occurred for gender. The male students had significantly more experience with programming languages than the female students.
Pre Summer School Survey Results
For the pre Summer School survey results, the responses for female and male students are shown. This is the only classification of the student groups considered (i.e. gender, school type and school location) that gave any significant differences.
Pre Summer School survey questions to determine students’ interest in various aspects of IT
For these questions students were asked to rate how interested they were in different aspects of IT. A 7-point Likert scale was used, where 1 indicates low interest and 7 indicates high interest. NR is used to indicate no response was given to the question.
|
Aspect of IT |
Female |
Male |
|
||||
|
Mean |
SD |
NR |
Mean |
SD |
NR |
|
|
|
Using computers for word processing, spreadsheets etc |
4.7 |
1.3 |
0 |
4.4 |
1.5 |
0 |
|
|
Programming |
4.6 |
1.9 |
0 |
5.6 |
1.1 |
0 |
* |
|
Software development (e.g. writing computer games, business applications) |
4.1 |
1.9 |
3.6 |
5.6 |
1.6 |
0 |
* |
|
Building or designing computer hardware |
3.4 |
1.5 |
14.3 |
4.4 |
1.5 |
0 |
* |
|
Computer networks |
4.5 |
1.4 |
14.3 |
5.1 |
1.6 |
0 |
|
|
Robotics |
3.6 |
1.6 |
14.3 |
4.5 |
1.8 |
0 |
* |
|
The Internet (Web or WWW) |
6.1 |
1.1 |
7.1 |
6.2 |
0.9 |
0 |
|
|
Artificial intelligence |
4.3 |
1.9 |
17.8 |
5.4 |
1.5 |
0 |
* |
|
Multimedia (video, sound etc) |
5.7 |
1.3 |
3.6 |
5.6 |
1.3 |
3.1 |
|
|
Virtual reality |
4.8 |
1.8 |
7.1 |
5.3 |
1.7 |
0 |
|
|
Software engineering |
3.8 |
1.7 |
14.3 |
5.1 |
1.5 |
0 |
* |
|
Computer security |
4.2 |
1.5 |
7.1 |
4.5 |
1.7 |
0 |
|
|
Electronic commerce |
3.5 |
1.9 |
17.8 |
4.2 |
1.9 |
3.1 |
|
|
System analysis and design |
4.3 |
1.5 |
10.7 |
4.7 |
1.9 |
3.1 |
|
|
* indicates t-test significant at t < 0.05 |
|||||||
Both the female and male students showed the most interest in the Internet (Web or WWW) and Multimedia and the small standard deviations indicate there was strong agreement in their opinions on this. The male students showed significantly more interest in programming, software development, software engineering, building or designing computer hardware, robotics and artificial intelligence.
The female students showed most interest in the following aspects of IT:
and the least interest in:
The male students showed most interest in the following aspects of IT:
and the least interest in:
Pre Summer School survey questions to determine students’ interest in studying IT
Do you intend to study or have you studied an IT subject for VCE?
|
Female |
Male |
|
||
|
Yes |
NR |
Yes % |
NR |
|
|
78.6 |
0 |
68.6 |
0 |
* |
|
* indicates t-test significant at t < 0.05 |
||||
Significantly more female students had studied or intended to study IT at school for VCE. An interesting result considering that the female students showed significantly less or the same interest than the male students in various aspects of IT, as shown in the previous question.
In your list of preferences for a university course where would you rank a computing course? (e.g. 1st, 2nd , 3rd …)
|
Female |
Male |
|
||||
|
Mean Rank |
SD |
NR |
Mean rank |
SD |
NR |
|
|
2.5 |
2.0 |
17.9 |
1.6 |
0.9 |
6.2 |
* |
|
* indicates t-test significant at t < 0.05 |
||||||
The mean ranking in preference for a computing course was one place higher for the male students than the female students. This was a significantly higher ranking. The standard deviations show there was more variation amongst the female students in their ranking of a computing course in their list of preferences. Also the higher percentage of no responses for the female students probably indicates that more female students did not intend to put a computing course in their list of preferences. This is despite the fact that significantly more female than male students were studying or intended to study IT at school.
What percentage of your university course would you like to include some type of computing studies?
|
Female |
Male |
||||
|
Mean Percentage |
SD |
NR |
Mean percentage |
SD |
NR |
|
56.6 |
26.3 |
14.3 |
59.4 |
29.9 |
9.3 |
There was no significant difference between females and males in the amount of IT they would like in their university course.
Pre Summer School survey questions to determine students’ interest in a career in IT
How interested are you in a career in computing?
A 7-point Likert scale was used, where 1 indicates no interest and 7 indicates high interest.
|
Female |
Male |
|
||||
|
Mean |
SD |
NR |
Mean |
SD |
NR |
|
|
5.0 |
1.8 |
0 |
5.8 |
1.5 |
3.1 |
* |
|
* indicates t-test significant at t < 0.05 |
||||||
The male students had significantly more interest in a career in IT than the female students.
What percentage of your work in your future career would you like to involve working with computers?
|
Female |
Male |
||||
|
Mean Percentage |
SD |
NR |
Mean percentage |
SD |
NR |
|
65.0 |
24.8 |
7.1 |
69.5 |
29.7 |
3.1 |
There was no significant difference between females and males in the percentage of IT that they wanted in their career.
Post Summer School Survey Results
The post Summer School survey results are shown for the whole group. There were no significant changes in the responses for any questions for the whole group, or any classifications based on gender, school type or school location. However for most questions the number of no responses given decreased significantly.
Post Summer School questions to determine students’ interest in various aspects of IT
For these questions students were asked to rate how interesting different aspects of IT were. A 7-point Likert scale was used, where 1 indicates low interest and 7 indicates high interest. NR is used to indicate no response was given to the question.
|
Aspect of IT |
Mean |
SD |
NR % |
|
Using computers for word processing, spreadsheets etc |
4.7 |
1.6 |
0 |
|
Programming |
5.3 |
1.6 |
1.7 |
|
Software development (e.g. writing computer games, business applications) |
5.1 |
1.8 |
3.3 |
|
Building or designing computer hardware |
4.1 |
1.7 |
0 |
|
Computer networks |
4.6 |
1.6 |
5.0 |
|
Robotics |
4.2 |
1.8 |
5.0 |
|
The Internet (Web or WWW) |
6.1 |
1.0 |
0 |
|
Artificial intelligence |
5.1 |
1.7 |
5.0 |
|
Multimedia (video, sound etc) |
5.6 |
1.2 |
0 |
|
Virtual reality |
5.2 |
1.6 |
0 |
|
Software engineering |
4.6 |
1.7 |
3.3 |
|
Computer security |
4.2 |
1.8 |
0 |
|
Electronic commerce |
4.1 |
1.8 |
3.3 |
|
System analysis and design |
4.3 |
1.9 |
6.7 |
After the Summer School the students showed most interest in the following aspects of IT:
After the Summer School the students showed least interest in the following aspects of IT:
There were no significant differences before and after the Summer School in the students’ interest in each aspect of IT and in every case there were significant correlations between the students’ interest before and after the Summer School. The strongest relationship in pre and post Summer School interest was for programming, electronic commerce, software engineering.
Post Summer School survey questions to determine students’ interest in studying IT
Do you intend to study or have you studied an IT subject for VCE?
75% of the students intended to study IT at school for VCE.
In your list of preferences for a university course where would you rank a computing course? (e.g. 1st, 2nd , 3rd …)
|
Mean rank |
SD |
NR |
|
2.2 |
1.6 |
10.0 |
What percentage of your university course would you like to include some type of computing studies?
|
Mean percentage |
SD |
NR |
|
58.2 |
27.7 |
6.7 |
There were no significant differences pre and post Summer School in the students’ interest in studying IT at university.
Post Summer School questions to determine students’ interest in a career in IT
How interested are you in a career in computing?
A 7-point Likert scale was used, where 1 indicates no interest and 7 indicates high interest.
|
Mean |
SD |
NR |
|
5.5 |
1.6 |
1.7 |
There was a significant correlation between students’ pre and post Summer School interest in a career in computing and there was no significant change in the students’ interest in IT as a career.
What percentage of your work in your future career would you like to involve working with computers?
|
Mean percentage |
SD |
NR |
|
67.3 |
25.7 |
3.3 |
There was no significant change in the percentage of IT students wanted in their career.
Some other interesting results
Low and high computer users
The students were divided into high and low users based on their responses for computer usage for schoolwork (questions 5 and 6) and general use (questions 7,8 and 9) in the pre Summer School survey.
At the end of the Summer School there were the following significant changes in interest in IT for these groups:
Gender
Female students showed the following strong relationships for computer usage:
Male students showed the following strong relationships for computer usage:
School type
Government school students showed the following strong relationships for computer usage:
Private school students showed the following strong relationships for computer usage:
School location
There were strong relationships between different types of computer usage for Suburban school students:
Country school students showed the following strong relationships for computer usage: