Northampton Electronic Collection of Theses and Research

Browse by University of Northampton Authors

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Number of items: 43.

Article

  1. Ajit, S., Maikkara, A. and Ramku, W. (2024) Fear of failure: a student-facing investigation into the motivations for contract cheating and academic misconduct. Cogent Education. 11(1) 2331-186X.
  2. Al-Tameemi, G., Xue, J., Hadi, I. and Ajit, S. (2024) A Hybrid Machine Learning Approach for Predicting Student Performance Using Multi-class Educational Datasets. Procedia Computer Science. 238, pp. 888-895. 1877-0509.
  3. Vossen, P. and Ajit, S. (2024) Assessment and Measurement in Higher Education with multiple criteria, scales, and raters: A theoretical approach and a practical example. IATED Digital Library Home. , pp. 7469-7475. 2340-1079.
  4. Dohan, M., Mu, M., Ajit, S. and Hill, G. (2024) Real-Walk Modelling : Deep Learning Model for User Mobility in Virtual Reality. Multimedia Systems. 30 0942-4962.
  5. Khalsan, M., Mu, M., Salih Al-Shamery, E., Machado, L., Ajit, S. and Opoku Agyeman, M. (2023) A Novel Fuzzy Classifier Model for Cancer Classification Using Gene Expression Data. IEEE Access. 11, pp. 115161-115178. 2169-3536.
  6. Khalsan, M., Machado, L., SALIH AL-SHAMERY, E., Ajit, S., Anthony, K., Mu, M. and Opoku Agyeman, M. (2022) A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction. IEEE Access. 2169-3536.
  7. Vossen, P. H. and Ajit, S. (2018) Fuzzy scoring theory applied to team-peer assessment: additive vs. multiplicative scoring models on the signed or unsigned unit interval. Advances in Intelligent Systems and Computing. 2194-5357. (Accepted)
  8. Ajit, S., Holmes, C., Johnson, J., Kolovos, D. S. and Paige, R. F. (2017) Model-based tool support for Tactical Data Links: an experience report from the defence domain. Software & Systems Modeling. 16(2) 1619-1366.
  9. Ajit, S., Holmes, C., Johnson, J., Kolovos, D. S. and Paige, R. F. (2015) Model-based tool support for Tactical Data Links: an experience report from the defence domain. Software & Systems Modeling. 16(2), pp. 559-586. 1619-1366.

Book Section

  1. Vossen, P. and Ajit, S. (2024) Measurement Models for Group-Peer Assessment of Project-Based Learning in Software Engineering. In: 2024 International Symposium on Computer Science and Educational Technology (ISCSET) :. DEU: IEEE.
  2. Ajit, S., Maikkara, A. and Ramku, W. (2024) A Decision Support System to Aid Detection and Substantiation of Contract Cheating in Higher Education. In: Chova, L. G., Martínez, C. G. and Lees, J. (eds.) EDULEARN24 Proceedings : 16th International Conference on Education and New Learning Technologies. ESP: International Academy of Technology, Education and Development (IATED). pp. 3503-3510.
  3. Vossen, P. and Ajit, S. (2024) The Use of Bounded Grading Scales in Higher Education. In: EDULEARN24 Proceedings : 16th International Conference on Education and New Learning Technologies. ESP: International Academy of Technology, Education and Development (IATED). pp. 7244-7252.
  4. Khalsan, M., Mu, M., Al-shamery, E. S., Ajit, S., Machado, L. and Opoku Agyeman, M. (2023) Developing a Multidimensional Fuzzy Deep Learning for Cancer Classification Using Gene Expression Data. In: Wyld, D. C. and Nagamalai, D. (eds.) Computer Science & Information Technology (CS & IT) : 9th International Conference on Computer Science, Engineering and Applications (CSEA 2023). ARE: Academy and Industry Research Collaboration Center (AIRCC). 37 - 49.
  5. Dohan, M., Mu, M., Ajit, S., A. Al-Assadi, T., Hill, G. and Mauthe, A. (2022) Deep-learning based recommenders for the improved user navigation in VR. In: ACM International Conference on Interactive Media Experiences (ACM IMX 2022) :. PRT: Association for Computing Machinery (ACM). (In Press)
  6. Al-Tameemi, G., Xue, J., Ajit, S., Kanakis, T. and Hadi, I. (2020) Predictive Learning Analytics in Higher Education: Factors, Methods and Challenges. In: Predictive Learning Analytics in Higher Education: Factors, Methods and Challenges :. USA: IEEE.
  7. Vossen, P. H. and Ajit, S. (2018) Fuzzy scoring theory applied to team-peer assessment: additive vs. multiplicative scoring models on the signed or unsigned unit interval. In: Balas, V. E., Jain, L. C., Balas, M. M. and Shahbazova, S. N. (eds.) Soft Computing Applications : Proceedings of the 8th International Workshop Soft Computing Applications (SOFA 2018), Vol. II. ROM: Springer. pp. 84-111.
  8. Olajubu, O., Ajit, S. and Turner, S. J. (2017) Automated test case generation from high-level logic requirements using model transformation techniques. In: Proceedings of 9th Computer Science and Electronic Engineering (CEEC'17). IEEE. (Accepted)
  9. Ajit, S. (2017) Assessment of programming modules in software engineering education. In: Proceedings of 13th China Europe Symposium on Software Engineering Education (CEISEE 2017). Germany: Springer. (Accepted)
  10. Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2015) Automated test case generation from domain specific models of high-level requirements. In: Proceedings of the 2015 Conference on Research in Adaptive and Convergent Systems :. New York, NY, USA: Association for Computing Machinery (ACM). pp. 505-508.

Conference or Workshop Item

  1. Maikkara, A., Ajit, S. and Kumar, P. (2022) Contract cheating: causes and prevention strategies. Poster presented to: University of Northampton Learning and Teaching Conference 2022, Waterside, 2022-06-23 - 2022-06-23.
  2. Al-Tameemi, G., Xue, J., Ajit, S., Kanakis, T., Hadi, I., Baker, T., Al-Khafajiy, M. and Al-Jumeily, R. (2022) A Deep Neural Network-Based Prediction Model for Students' Academic Performance. Paper presented to: 2021 14th International Conference on Developments in eSystems Engineering (DeSE), 2021-12-07 - 2021-12-10.
  3. Ajit, S. and Dean, A. (2019) An innovative web-based tool to solve group marking issues. Poster presented to: AdvanceHEA Teaching and Learning Conference 2019, Northumbria University, 2019-07-02 - 2019-07-04.
  4. Ajit, S. (2017) Exam as an assessment instrument in computer programming courses. Poster presented to: 6th International Assessment in Higher Education Conference (AHE 2017), Manchester, United Kingdom, 2017-06-28.
  5. Ajit, S. (2017) Exam as an assessment instrument in computer programming courses: student perceptions. Poster presented to: 6th International Assessment in Higher Education Conference (AHE 2017), Manchester, United Kingdom, 28-29 June 2017.
  6. Ajit, S. (2016) Automated feedback and marking system in computing. Seminar Presentation presented to: Assessment in Higher Education (AHE) Seminar Day 2016, Manchester, UK, 30 June 2016.
  7. Dohan, M., Gan, B., Medway, A. and Ajit, S. (2016) Perceptions of Computing Students on Automated Marking. Poster presented to: Dare to be Different: Learning and Teaching Conference 2016, University of Northampton, 2016-05-17 - 2016-05-17.
  8. Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2016) A textual language for requirement modelling. Workshop presented to: School of Science and Technology Annual Research Conference, Newton Building, The University of Northampton, 02 March 2016.
  9. Ajit, S. and Dodds, J. (2016) Student Perceptions of Automated Marking and Feedback System in Computing. Poster presented to: Higher Education Academy Annual STEM Conference, 2016-01-28 - 2016-01-29.
  10. Ajit, S. and Dodds, J. (2016) Student perceptions of automated marking and feedback system in computing. Poster presented to: Higher Education Academy Annual STEM Conference 2016: Inspire to Succeed: Transforming Teaching and Learning in STEM, East Midlands Conference Centre, Nottingham, 28-29 January 2016.
  11. Ajit, S., Olajubu, O., Thomson, S. and Edwards, M. (2015) Model transformation of high-level requirements in a domain specific language into a formal specification language. Paper presented to: 15th International Workshop on Automated Verification of Critical Systems (AVOCS 2015), Edinburgh, 01-04 September 2015. (Unpublished)
  12. Ajit, S. (2015) Student perceptions of different assessment modes in computer programming courses. Other presented to: Assessment in HE Conference, Birmingham, UK, 24-25 June 2015. (Unpublished)
  13. Ajit, S. and Dodds, J. (2015) Enhancing student learning and experience with automated marking of assessments. Poster presented to: Enhancing Quality at Northampton: Learning and Teaching Conference 2015, University of Northampton, 2015-01-01 - 2015-01-01.
  14. Nicholls, J. and Ajit, S. (2015) Creating an adaptive tool to automate marking and personalise learning. Poster presented to: Enhancing Quality at Northampton: Learning and Teaching Conference 2015, University of Northampton, 2015-01-01 - 2015-01-01.

Conference Proceedings

  1. Edan, N. M., Al-Sherbaz, A., Turner, S. J. and Ajit, S. (2016) Drawbacks of Inter-Asterisk Exchange protocol in V.VoIP. In: IEEE Computing Conference 2017. IEEE. (Accepted)
  2. Edan, N. M., Al-Sherbaz, A., Turner, S. J. and Ajit, S. (2016) Performance evaluation of QoS using SIP & IAX2 VVoIP protocols with CODECS. In: SAI Computing Conference 2016. U.S.: IEEE. 9781467384605. pp. 631-636.
  3. Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2015) Automated test case generation from domain specific models of high-level requirements. In: Proceedings of the 2015 Conference on Research in Adaptive and Convergent Systems. New York, NY, USA: ACM. 9781450337380. pp. 505-508.
  4. Forti, Y., Bechkoum, K., Turner, S. J. and Ajit, S. (2014) The adoption of e-government in Arab Countries - The case of Libya. In: Ionas, A. (ed.) Proceedings of the 14th European Conference on e-Government ECEG 2014. Reading, UK: Academic Conferences and Publishing International Limited. 9781909507326. pp. 319-326.

Thesis

  1. Olajubu, O., Ajit, S., Johnson, M. and Turner, S. Automated Test Case Generation from Domain-Specific High-Level Requirement Models. PhD thesis. University of Northampton.
  2. Butler, T., Johnson, M., Ajit, S. and Turner, S. Creating a Metric to Measure Software Flexibility in Object-Oriented Programming. PhD thesis.
  3. Khalsan, M., Opoku Agyeman, M., Mu, M., Ajit, S., SALIH AL-SHAMERY, E. and Machado, L. Gene Selection and Cancer Classification Using a Multidimensional Fuzzy Deep Learning Approach for Gene Expression Data. PhD thesis. University of Northampton.
  4. Dohan, M., Mu, M., Ajit, S., Hill, G. and Al-Assadi, T. Human Attention in Virtual Reality Applications: Exploration of VR Artwork. PhD thesis.

Patent

  1. Holmes, C. K., Ajit, S., Gardiner, J. and Johnson, J. F. E. (2017) Timeslot Interoperability Between Communicating Platforms. 14 February 2017. Patent number 9,571,608.

Other

  1. Ajit, S. (2009) Capture and Maintenance of Constraints in Engineering Design.
This list was generated from NECTAR on Thu Feb 26 21:16:47 2026 GMT.