A Questionnaire of student satisfaction from college using data

Mining

Hardeep kaur1,Kiran bala2,Preet inder kaur3,Harjit Kaur4

M.Phil(Research Scholar), Guru Kashi University, Talwandi Sabo, Punjab, India

Abstract Today a questionnaire of student satisfaction is

adopted by Universities & very high level colleges

but many medium level colleges are enable to decide

upon proper implementation of student satisfaction.

Although data mining has been successful

implemented in the business world for some time now,

its use in higher education is still relatively new, i.e.

its use is intended for identification and extraction of

new and potentially valuable knowledge from the data.Using data mining the aim was to develop a

model which can derive the conclusion on students'

academic success.Student Satisfaction Surveys are

commonly used in higher education institutions

internationally as feedback mechanisms to determine

the level of delivery of education. More importantly,

they provide data to management on student

perceptions of education delivery. They are designed

to encourage action for improvement, which forms

part of appropriate accountability procedures at the

institution. The analysis focused on those areas that

students rated as important and were satisfied with,

as well as those areas that were high in importance,

but low on satisfaction.

Keywords Educational data mining, online learning, online

teaching, student-faculty interaction, student

satisfaction, Student achievement, Motivation, higher

education.

1.Introduction student satisfaction has been related to recruitment

and retention and academic success which has lead

university administrators to pay great attention to those factors that help them to more effectively

attract students and create a supportive learning

environment.Given the diversity of students’ goals in

pursuing a college degree and the variety of

institutional missions, the challenge is to attract and

retain those students that are best matched to the

university’s capabilities and to develop competences

at the university that will better serve the needs of

diverse student populations. Administrators and

educators also recognize that understanding the needs and wants of students and meeting their expectations

are important todevelop environments in which

students can learn effectively .

2. Factor Categories

This questionnaire considers all the factors effecting

in student satisfaction and most probably all these

factors are taken according to their suitable priority.

It includes major factors and all these factors are

taken as questions which can be answered in three

ways(Disagree, Neutral , Agree ) according to which

student satisfaction can be measured.

3. Classifiers

According to the factors in the Questionnaire the

respondents can be

classified in broad four classifiers, these are

following.

(a) Students

(b) Parents

(c) Teaching Staff (d) Non Teaching Staff

(e)Management

4. Category Factor Variables

Self-confidence

students’ confidence in own abilities and skills.

Curriculum, instruction, and classes

satisfaction with coverage of different topics,

grading, accessibility and responsiveness of

instructors, class sizes.

Satisfaction with teaching in subject matter

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ISSN:2229-6093

satisfaction with quality of teaching in specific

subjects.

Extra-curricular activities and career

opportunities

satisfaction with opportunities for practical experiences,student organizations and leadership, and

recruiting.

Advising

satisfaction with student advising.

Quality of teaching and feedback

perceived quality of teaching and feedback from

instructors in general.

Computing resources

satisfaction with availability, training, and facilities.

Fellow students

satisfaction with academic quality of the student body

and student interactions.

Current Proces

Evolving out of traditional statistics, data mining

started as an independent

set of tools. More and more, visualization and

database data mining are adopted. Conventional

visualization techniques are aimed at the executives

who are information consumers.

Security

Will pose security threat,Reduce frauds and failure.

Improvement

Better informed students are more likely to choose a

course that they will complete and be motivated to

achieve better results.

Objectives and Goals

The main objectives of this study are:

1)Identifying the main factors in the major selection

process

2)Identifying the marketing methods to attract more

students to a specific major

3)To achieve these objectives, an appealing

questionnaire was designed and a large

scale survey was conducted on the students .

4)To provide information about the quality of the

undergraduate experience

5)To determine faculty perception on issues related to support for their roles

6)To identify the main strengths and weaknesses on

the course, indicated by the students.

7)To establish guidelines for its general improvement.

Satisfaction

More satisfied Parents

More satisfied Students

More satisfied Management

5. Conclusions

The results indicated that a majority of the students

from all of the housing types registered at least some

complaint about almost all of the variables that we

supplied in the questionnaire. Students estimated the

amount of each quality, say "quiet", for example, that

they would like to have, and then the amount they

actually felt that they had.

References

1) Aitken, N. (1982). College student

performance, satisfaction and retention:

Specification and estimation of a structural model. The Journal of Higher Education,

53(1), 32-52.

2) Corts, D. P., Lounsbury, J. W., Saudargas, R.

A., & Tatum, H. E. (2000). Assessing

undergraduate satisfaction with an academic

department: A method and case study.

College Student Journal, 1, 10.

3) Mavondo, F., Tsarenko, Y., & Gabbot, M.

(2004). International and local student

satisfaction: Resources and capabilities

perspective. Journal of Marketing for

Higher Education, 14, 41-60.

4) Lamport, M. A. (1993). Student-faculty

informal interaction and the effect on

college student outcomes: A review of the

literature. Adolescence, 28(112), 971-990.

5) Hatcher, L., Kryter, K., Prus, J. S., & Fitzgerald, V. (1992) Predicting college

student satisfaction, commitment, and

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attrition from investment model constructs.

Journal of Applied Social Psychology, 22,

1273-1296. doi:10.1111/j.1559-

1816.1992.tb00950.x

6) ] N.V.Anand Kumar Research Scholar,

Department of Computer Science and

engineering Anna university, Chennai

G.V.Uma Assistant professor, Department of Computer Science and Engineering Anna

university, Chennai “Improving Academic

Performance of Students by

Applying Data Mining Technique”.

7) Telford, R., & Masson, R. (2005).

The congruence of quality values in

higher education. Quality Assurance in

Education, 13, 107-119.

doi:10.1108/09684880510594364

Annexure:

Student Satisfaction from College Using

Data mining Survey Questionnaire Please take a few minutes to fill out this survey on

the timeliness and quality of the service you received

today. Welcomes your feedback and your answers

will be kept confidential. Please complete this survey

and return it to Hardeep kaur1, Kiran bala2,Preet

inder kaur3,Harjit Kaur4 M.phil(CA),Research

Scholar,Guru kashi Univervsity Talwandi

Sabo(Bathinda)

Statements Agree Neutral Disagree

V1(Gender)

v2 (Where do you belong from)

V3 (In which course do you read)

V4 (Satisfied with your subject teachers)

V5 (Rules and regulations)

V6 (Fees structure)

V7 (Current study system)

V8 (Interesting higher education in same

college)

V9 (Free lectures adjust in other activity)

V10 (Library environment)

V11 (Available syllabus books as well as

reference books)

V12 (College uniform)

V13 (Lab classes)

V14 (Placements)

V15 (Scholarships)

V16 (Seminars and Training)

V17(Online conference with other universities)

V18(Expert lectures)

V19 (Disturbance in class rooms)

V20 (Internet facility)

V21 (Help and advice)

V22 (Limited class size)

V23 (Distance study is better)

V24 (Research opportunities)

V25 (News & Events)

V26 (Semester system)

V27 (Industrial visit)

V28 (Awards & Medals)

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ISSN:2229-6093

V29 (Garden)

V30(Hostet facility

(mess,accommodation,security etc

Infrastructure)

V31 (Canteen)

V32 (Infrastructure)

V33 (Reservation)

V34 (Trips)

V35 (Ragging)

V36 (Cultural activities)

V37 (Medical facilities)

V38 (Co-education)

V39 (Use of Electronic gadgets)

V40 (Security System)

V41 (Electricity)

V42 (Drinking Water & Toilet facilities)

V43(Parking)

V44(Sufficient with no. of Debates)

V45(Bus service facilities)

V46(Bus pass facilities)

V47(Overall are you satisfied with this survey)

Hardeep kaur et al, Int.J.Computer Technology & Applications,Vol 4 (2),244-247

IJCTA | Mar-Apr 2013 Available online@www.ijcta.com

247

ISSN:2229-6093