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Reseach Article

Mitigating Examination Malpractices in Nigerian Universities using an Enhanced Automated Essay Scoring System

by Tina Ngozi Olisa, Friday Eleonu Onuodu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 18
Year of Publication: 2019
Authors: Tina Ngozi Olisa, Friday Eleonu Onuodu
10.5120/ijca2019919640

Tina Ngozi Olisa, Friday Eleonu Onuodu . Mitigating Examination Malpractices in Nigerian Universities using an Enhanced Automated Essay Scoring System. International Journal of Computer Applications. 177, 18 ( Nov 2019), 32-38. DOI=10.5120/ijca2019919640

@article{ 10.5120/ijca2019919640,
author = { Tina Ngozi Olisa, Friday Eleonu Onuodu },
title = { Mitigating Examination Malpractices in Nigerian Universities using an Enhanced Automated Essay Scoring System },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2019 },
volume = { 177 },
number = { 18 },
month = { Nov },
year = { 2019 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number18/31001-2019919640/ },
doi = { 10.5120/ijca2019919640 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:46:16.621846+05:30
%A Tina Ngozi Olisa
%A Friday Eleonu Onuodu
%T Mitigating Examination Malpractices in Nigerian Universities using an Enhanced Automated Essay Scoring System
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 18
%P 32-38
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Education, being a process of teaching and learning is evaluated through examination at the end of the learning period. Examinations not only serves as a feedback for the trainer to ascertain the level of knowledge acquired but also serves as a measure of knowledge retention by the trainee. Any misconduct or irregularity distorts this feedback mechanism and gives a false outcome of the learning process and has negative consequences. In Nigeria, examination malpractice has reached an alarming stage and in recent times this concern has been echoed across the country. Many suggestions on containing the crisis focus on correcting the attitude of students, teachers and the government but the situation seems to have worsened as implementation of these recommendations remain a challenge. In this research, an alternative approach which is the use of Automated Essay Scoring technique for assessing student’s examinations is proposed. This approach would significantly discourage examination malpractice and provide better control, accuracy and efficiency in examinations.

References
  1. Ade-Ibijola, A.O., Wakama, I. and Amadi, J.C. (2012). An expert system for automated essay Scoring (AES) in computing using shallow NLP techniques for inferencing. International Journal of Computer Applications, 51(10), 37 – 45.
  2. Ahmed, A., Abdulkareem A., Fawaz K. A., Khalid A., Malek A. (2015), AutoScor: An Automated System for Essay Questions Scoring. International Journal of Humanities, Social Sciences and Education, 2(5), 182 - 187
  3. Akaranga, S. I., and Ongong, J. J. (2013). The phenomenon of Examination Malpractice: An Example of Nairobi and Kenyatta Universities. Journal of Education and Practice, 4(18): 87 – 96
  4. Ana, P. and Bukie P. T. (2013). Design and Implementation of Online Examination Administration System for Universities. Global Journal of Mathematical Sciences, 12, 39 - 51
  5. Anzene, S. J. (2014). Trends in Examination Malpractice in Nigerian Educational System and its Effects on the Socio-Economic Development of Nigeria. Asian Journal of Humanities and Social Sciences, 2(3): 1 – 8
  6. Atabong, T.A., Okpala, M.C., Abondem, A. L. and Essombe,C.E. (2010), Eliminating Examination Malpractice in Africa with Automated Test Taking, Marking and Result Printing. Tropical Journal of Biomedical and Allied Sciences Research, 4(1), 452 - 468
  7. Attali, Y. & Burstein, J. (2006). Automated Essay Scoring with e-rater V.2 Journal of Technology, Learning, and Assessment (JTLA), 4(3).
  8. Attali, Y. (2004). Exploring the feedback and revision features of Criterion. Paper presented at the National Council on Measurement in Education (NCME), San Diego, CA.
  9. Bereiter, C. (2003). Foreword. In Mark D. Shermis and Jill C. Burstein (Eds.), Automated essay scoring: a cross disciplinary approach (pp. vii–ix). Mahwah, NJ: Lawrence Erlbaum Associates.
  10. Baron, D. (2005). The college Board’s new essay reverses decades of progress toward literacy. The chronicle of Higher Education, P.B14.
  11. Bloom, B.S. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I, Cognitive domain. New York, Toronto: Longmans, Green.
  12. Burstein, J., Kukich, K., Wolff, S., Lu, C., and Chodorow, M. (1998). Computer analysis of essays. Proceedings of the NCME Symposium on Automated Scoring, Montreal, Canada.
  13. Burstein, J., Kukich, K., Wolff, S., Lu, C., Chodorow, M., Braden-Harder, L., M.D. (1998). Automated scoring using a hybrid feature identification technique. In Proceedings of the 17th international conference on computational linguistics – Volume 1 (pp. 206 -210). Association for Computational Linguistics.
  14. Burstein, J. (2003). The e-rater scoring engine: Automated Essay Scoring with
  15. natural language processing. In M. D. Shermis and J. C. Burstein (Eds.), Automated Essay Scoring: A cross disciplinary approach (pp. 113–121). Mahwah, NJ: Lawrence Erlbaum Associates.
  16. Burstein, J. and Chodorow, M. (1999). Automated Essay Scoring for nonnative English speakers. Proceedings of the ACL99 Workshop on Computer-Mediated Language Assessment and Evaluation of Natural Language Processing, College Park, MD.
  17. Chen H., He B., Luo T., and Li B. (2012), A Rank-based learning approach to Automated essay scoring. 2012 Second International Conference on Cloud and Green Computing, DOI 10.1109/CGC.2012.41
  18. Chung, G. K.. and O’Neial, H. F (1997). Methodological approaches to online scoring of essays. Citeseer.
  19. Cohen, Y., Ben-Simon, A., and Hovav, M. (2003). The Effectof Specific Language Features on the Complexity of Systems for Automated Essay Scoring. Paper presented at the 29th Annual Conference of the International Association for Educational Assessment,Manchester,UK. http://www.aqa.org.uk/support/iaea/papers/ben-cohenhovav.pdf
  20. Daradoumis, T., Bassi, R., Xhafa, F., Caballe, S., (2013). A Review on Massive E-Learning (MOOC) Design, Delivery and Assessment. 2013 Eight International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, DOI10.1109/3PGCIC.2013.37,208 - 213
  21. Dikli, S. (2006). An overview of automated scoring of essays. Journal of Technology, Learning and Assessment, 5(1).
  22. Dreher H., Williams R., and Palmer J., (2002). Automated essay grading system applied to a first year university subject-How can we do it better. Proceedings of the Informing Science and IT Education (InSite) Conference, Cork, Ireland, 1221 - 1229
  23. Elliot, S.M. (2003). IntelliMetric: From Here to Validity. In M. D. Shermis
  24. and J. Burstein (Eds.), Automatic Essay Scoring: A Cross-Disciplinary Approach 71–86: Lawrence Erlbaum Associates.
  25. Emaikwu, S. O. (2012). Assessing the Impact of Examination Malpractices on the Measurment of Ability in Nigeria. International Journal of Social Sciences &Education, 2(4): 748 - 757
  26. Fagbola T. M., Adigun A. A. and Oke A. O., (2013), Computer-Based Test (CBT) System for University Academic Enterprise Examination. International Journal of Scientific & Technology Research, 2(8), 336 - 342
  27. George, I. N. and Ukpong, D. E. (2013). Contemporary Social Problems in Nigeria and its Impact on National Development: Implication for Guidance and Counselling Services. Journal of Educational and Social Research, 3(2): 167 - 173
  28. Hearst, M. (2000). The debate on automated essay grading. IEEE Intelligent Systems, 15(5), 22 – 37, IEEE CS Press.
  29. Herrington, A., Moran, C. (2001). What happens when machines read our students’ writing? College English, 634, 480 – 499.
  30. Jimoh, B. O. (2009). Examination Malpractice in Secondary Schools in Nigeria: What sustains it? European Journal of Educational Studies, 1(3): 101 - 108
  31. Kaplan, R. M., Wolff, S., Burstein J. Li, C., Rock D., and Kaplan, B., (1988). Scoring essays automatically using surface features, Technical Report 94-21P, New Jersey, USA: Educational Testing Service
  32. Kukich, K. (2000). Beyond Automated Essay Scoring. In M. A. Hears (Ed.), The debate on automated essay grading. IEEE Intelligent systems, 27–31.
  33. Landauer, T.K., Laham, D. and Foltz, P.W. (2003). Automated scoring and annotation of essays with the Intelligent Essay Assessor. In M.D. Shermis & J. Burstein (Eds.), Automated Essay Sscoring: A Cross-Disciplinary Perspective, 87–112. Mahwah, NJ: Lawrence Erlbaum Associates.
  34. Landauer, T. K., Laham, D., and Foltz, P. W. (2003). Automated Essay Scoring: A cross disciplinary perspective. In M. D. Shermis and J. C. Burstein (Eds.), Automated Essay Scoring and annotation of essays with the Intelligent Essay Assessor. 87–112 Mahwah, NJ: Lawrence Erlbaum Associates.
  35. Landauer, T. K., Laham, D., Rehder, B. and Schreiner, M. E. (1997). How well can passage meaning be derived without using word order? A comparison of Latent Semantic Analysis and humans. Proceedings of the 19th Annual Conference of the Cognitive Science Society, 412–417
  36. Larsen-Freeman, D and Cameron, L. (2008). Complex systems and applied linguistics. Oxford: Oxford University Press.
  37. Lemaire, B. and Dessus, P. (2001). A system to assess the semantic content of student essays. Educational computing research, 24(3), 305-306
  38. Nnam, M.U., and Inah, A. F. (2015). Empirical Investigation into the Causes, Forms and Consequences of Examination Malpractice in Nigerian Institutions of Higher Learning. International Journal of Novel Research in Humanity and Social Sciences,2(1): 52 – 62
  39. Murray, B. (1998). The latest techno tool:Essay grading computers. American Psychological Association (APA), 8(29).
  40. Nichols, P. D. (2004). Evidence for the interpretation and use of scores from an Automated Essay Scorer. Paper presented at the Annual Meeting of the American Educational Research Association (AERA),San Diego, CA.
  41. Odunayo, E.O., Ibrahim, A.A., Stephen O.O. and Elijah O.O (2015), Evaluation of N-gram Text Representations for Automated Essay-Type Grading Systems. International Journal of Applied Information Systems, 9(2)
  42. Ojonemi, P.S., Enejoh, W., Enejoh, A., and Olatunmibi, O. (2013). Examination Malpractice: Challenges to Human Resource Development in Nigeria. International Journal of Capacity Building in Education and Management, 2(1): 91 - 101
  43. Olawale A., Shafi’I M. A., E-Exams System for Nigerian Universities with Emphasis on Security and Result Integrity. International Journal of the Computer, the Internet and Management (IJCIM), 18(2)
  44. Onuka, A., and Amoo, S. A. (n.d). Examination Malpractice and Act 33 of 1999. Retrieved November 25, 2018 from www.naere.org.ng/journal/examination_malpractice_act_33_1999.pdf
  45. Onyibe C.O., Nwachi-Ikpor Juliana O., Abdulhakim A.A. (2015), Computer Based Testing Techniques in Nigeria: Prospects and Challenges. Journal of Information Engineering and Applications, 5(10).
  46. Page, E. B. (2003). Project Essay Grade: PEG. In M. D. Shermis and
  47. J. Burstein (Eds.), Automated essay scoring: A cross-disciplinary perspective, 43–54. Mahwah, NJ: Lawrence Erlbaum Associates.
  48. Page, E. B. (1994). Computer Grading of Student Prose, Using Modern Concepts and Software, Journal of Experimental Education, 62,127–142.
  49. Page, E. B. & Petersen, N. S. (1995). The computer moves into essay grading: Updating the ancient test. Phi Delta Kappan, 76, 561–565.
  50. Page, E.B. (1966). The imminence of grading essays by computer. Phi Delta Kappan, 48, 238–243.
  51. Ramalingam V.V., Pandian A., Chetry P., and Nigam H. (2018). Automated Essay Grading using Machine Learning Algorithm. National conference on Mathematical Techniques and its Applications, doi 10.1088/1742-6596/1000/1/012030
  52. Rudner, L. M., and Gagne, P. (2001). An overview of three approaches to scoring written essays by computer.
  53. Rudner, L. M. and Liang, T. (2002). Automated essay scoring using Bayes’ theorem. The Journal of Technology, Learning and Assessment, 1(2).
  54. Shermis, M. D. and Burstein, J. (2003). Automated Essay Scoring: A cross disciplinary perspective. Mahwah, NJ: Lawrence Erlbaum Associates.
  55. Sadler, D. R. (1989). Formative Assessment and the Design of Instructional Systems. Instructional Science, 18, 119–144.
  56. Shermis, M.D., and Burnstein, J.C. (2002). Automated essay scoring, a crossdisciplinary perspective. New-Jersey: Lawrence Erlbaum Associates.
  57. Shermis, M. and Berrera, F. (2002). Exit assessments: Evaluating writing ability through Automated Essay Scoring (ERIC document reproduction service no ED 464- 950.
  58. Sireci, S.G., and Rizavi, S. (2000). Comparing Computerized and Human Scoring of Students’ Essays.
  59. Taghipour K. and Ng H. T. (2016), A neural Approach to Automated Essay Scoring. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 1882 – 1891.
  60. Siddhatha G., Sameen S. F., (2010). Design of an Automated Essay Grading (AEG) System in Indian context. International Journal of Computer Applications, 1(11), 60 - 65
  61. Uzoigwe, G. O. (n.d). Corruption in Education and Assessment Systems: The WAEC Experience in Nigeria. Retrieved November 25, 2018 fromwww.iaea.info/documents/paper_1162d1b538.pdf
  62. Valenti S., Neri F., Cucchiarelli A. (2003), An Overview of Current Research on Automated Essay Grading. Journal of Information Technology Education, 2(1), 319 – 330
  63. Vantage Learning, (n.d). Retrieved November 25, 2018 from, http://www.vantagelearning.com
  64. Williamson, D. M., Xi, X.and Breyer, F. J (2012). A Framework for evaluation and use of automated scoring. Educational Measurement:Issues and Practice, 31(1), 2 – 13.
  65. West-Smith P., Butler S., Mayfield E. (2018). Trustworthy Automated Essay Scoring without Explicit Construct
  66. Validity. The 2018 AAAI Spring Symposium Series, 95 - 102
  67. Zhang Q. (2014). An Experimental Research on Applying Automated Essay Scoring System to College English writing course. International Journal of English Language Teaching, 1(2), 35 – 41.
Index Terms

Computer Science
Information Sciences

Keywords

Education Examination Malpractice Educational Institution Automated Essay Scoring.