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Which modules are easy?

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65 Pages | chapter 1-5 | PDF and Microsoft Format

Topic Description

Which modules are easy?

Summary/abstract
This project sets out to solve the problem of inconsistent module difficulty levels within the School of Computing. The aim of the project is to develop a method by which modules can be compared, through the grades of students, to show if there is inconsistency in the way modules are assessed.
Test data must first be selected from the School’s SIS database of historical records. These data require careful preparation in order to select an appropriate subset of the available information.
Potential methods are developed and tested using the records extracted from the database. These tests are used to justify the suitability, or otherwise, of the methods. Lastly, a short description is made of a method by which these tests could be implemented as part of an automated system to aid School of Computing staff or examiners in regulating module standards.

CONTENTS
Summary………………………………………………………………………………………i
Acknowledgements……………………………………………………………………………ii
Contents………………………………………………….……………………………………iii
1 Introduction…………………………………………………………………………………………………1
1.1 Project Aim………………………………………………………………………………………………1
1.2 Objectives ………………………………………………………………………………………………..1
1.3 Minimum Requirements ………………………………………………………………………………1
1.4 Project Schedule ………………………………………………………………………………………..2
2 Background Research…………………………………………………………………………………..3
2.1 The Problem……………………………………………………………………………………………..3
2.2 SIS Data Tables …………………………………………………………………………………………5
2.3 On Data Selection ………………………………………………………………………………………6
2.4 What is an ‘easy’ module?……………………………………………………………………………8
2.5 Existing methodologies ……………………………………………………………………………….9
3 Methodology ………………………………………………………………………………………………12
3.1 Preparations…………………………………………………………………………………………….12
3.2 Data Selection………………………………………………………………………………………….12
3.3 Methodology Evaluation and Selection………………………………………………………….19
3.4 Software Evaluation and Selection ……………………………………………………………….22
4 Data Testing……………………………………………………………………………………………….23
4.1 Introduction…………………………………………………………………………………………….23
4.2 The Sign Test ………………………………………………………………………………………….24
4.2.1 Representative results ………………………………………………………………………….28
4.2.2 All results …………………………………………………………………………………………30
4.3 The Numeric Test …………………………………………………………………………………….33
4.3.1 Representative results ………………………………………………………………………….34
4.3.2 All results …………………………………………………………………………………………37
4.4 Comparison of results………………………………………………………………………………..39
4.5 T-test results ……………………………………………………………………………………………41
4.6 Recommendations for implementation…………………………………………………………..41
4.6.1 Must Have requirements ………………………………………………………………………43
4.6.2 Should Have requirements ……………………………………………………………………43
5 Evaluation………………………………………………………………………………………………….45
5.1 Test comparison……………………………………………………………………………………….45
5.2 Has the problem been solved?……………………………………………………………………..45
5.3 Project evaluation …………………………………………………………………………………….46
5.4 Future enhancements…………………………………………………………………………………47
5.5 Conclusions…………………………………………………………………………………………….48
BIBLIOGRAPHY…………………………………………………………………………………………49
Appendix A – Personal Reflection ………………………………………………………………….51
Appendix B – Project Schedule ……………………………………………………………………..52
Appendix C – Data Table Description ……………………………………………………………53
Appendix D – SQL Scripts…………………………………………………………………………….

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