E-Assessment Architecture for Higher Education: A Case Study of University Entrance Exam, Higher Education of Afghanistan

Authors

  • Arzo Mohammadi Kabul Polytechnic University

DOI:

https://doi.org/10.47604/ijts.2913

Keywords:

e-Assessment, e-Learning, Information and Communication Technology, Learning Management System, NREN

Abstract

Purpose: The main aim of this study is to demonstrate that which e-assessment architecture can be useful and effective for the higher education sector in Afghanistan.

Methodology: The research method was design science, where 100 questionnaires were distributed for specifying the functional and non-functional requirements of the e-assessment system. Questionnaires were distributed to 50 lecturers, 20 Administrators and 30 graduate students. This study conducted the structured interviews for analyzing the e-assessment architectures and find an applicable and accurate e-assessment architecture for university entrance exam. In this study, interviewed with five participants and the interview has 24 questions. This study used close-ended questions in the interview and considered different perspectives including interoperability, security, reusability, performance, scalability and flexibility for analyzing the e-assessment architectures.

Findings: After analyze the interview results, this study propose the architecture based on NREN for the university entrance exam of Afghanistan’s higher education. This study used the Architecture Tradeoff Analysis Method (ATAM) for the evaluating the e-assessment system architecture based on NREN. For this purpose, ATAM workshop established and evaluated the proposed architecture by fifteen experts.

Unique Contribution to Theory, Practice and Policy:  This study recommended the e-assessment application architecture. After the literature review, we carried out the survey in different higher education institutes, including Kabul Polytechnic University, Kabul University and Kabul Education University and the respondents were the lecturers, students, administrators and the higher education ministry decision makers. The study evaluates the requirements for the e-assessment system.

Downloads

Download data is not yet available.

References

Amelung, M., Krieger, K., & Rösner, D. (2010). E-Assessment as a Service. IEEE Transactions on Learning Technologies, 4(2), 162-174.

Andreasson, S, A. (2009). SOFTWARE ARCHITECTURE ATAM: Method for Architecture

Assessment System Architecture and Technology Phase 1 Report2012), measured progress.

Castelán, E., Brigos, M. A., & Fernández, J. (2014). A software reference architecture for the design and development of mobile workflow learning applications. In INTED2014 Proceedings (pp. 6351-6360). IATED.

Cristea, P., & Tuduce, R. (2005). Automatic generation of exercises for self-testing in adaptive E-learning systems: exercises on AC circuits. In 3rd Workshop on Adaptive and Adaptable Educational Hypermedia at the AIED (Vol. 5).

Garfinkel, S. (1995). PGP: Pretty Good Privacy. O’Reily & Associates Inc.

Gierlowski, K., & Nowicki, K. (2011). A highly scalable, modular architecture for computer aided assessment e-learning systems. In Distance Education Environments and Emerging Software Systems: New Technologies (pp. 45-63). IGI Global.

Gusev, M., & Armenski, G. (2014). E-assessment systems and online learning with adaptive testing. E-Learning Paradigms and Applications: Agent-based Approach, 229-249.

Gusev, M., Ristov, S., Arminski, G., Velkoski, G., & Bozinoski, K. (2013). e-Assessment cloud solution: Architecture, organization and cost model. International journal of emerging technologies in learning (ijet), 8(2013).

Inmon, W. H. (2005). Building the data warehouse. John wiley & sons.

Kazman, R., Klein, M., & Clements, P. (2000). ATAM: Method for architecture evaluation (pp. 1-8). Pittsburgh, PA: Carnegie Mellon University, Software Engineering Institute.

Meeran, M. T. (2013). Afghanistan Research and Educational Network (AfgREN) infrastructure.

Norta, A., Grefen, P., & Narendra, N. C. (2014). A reference architecture for managing [dynamic inter-organizational business processes. Data & Knowledge Engineering, 91, 52-89.

Norta, A., Mahunnah, M., Tenso, T., Taveter, K., & Narendra, N. C. (2014, June). An agent-oriented method for designing large socio-technical service-ecosystems. In 2014 IEEE World Congress on Services (pp. 242-249). IEEE.

Ramos, J., Trenas, M. A., Gutiérrez, E., & Romero, S. (2013). E‐assessment of Matlab assignments in Moodle: Application to an introductory programming course for engineers. Computer Applications in Engineering Education, 21(4), 728-736.

Saagari, S., DeviAnusha, P., LakshmiPriyanka, C., & Sailaja, V. S. S. N. (2013). Data Warehousing, Data Mining, OLAP and OLTP Technologies Are Essential Elements to Support Decision-Making Process in Industries. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2(6), 2278-3075.

Saay, S., Laanpere, M., & Norta, A. (2017). Requirements for e-testing services in the AfgREN cloud-based e-learning system. In Technology Enhanced Assessment: 19th International Conference, TEA 2016, Tallinn, Estonia, October 5-6, 2016, Revised Selected Papers 19 (pp. 133-147). Springer International Publishing.

Schmidt, D. C. (2006). Model-driven engineering. Computer-IEEE Computer Society-, 39(2), 25.

Sierra, A. J., Martín-Rodríguez, Á., Ariza, T., Muñoz-Calle, J., & Fernández-Jiménez, F. J. (2016). LTI for Interoperating e-Assessment Tools with LMS. In Methodologies and Intelligent Systems for Technology Enhanced Learning: 6th International Conference (pp. 173-181). Springer International Publishing.

Szumigaj, K. (2015). VII. Project of reporting and evaluation data. Innovation management, 109.

Vaishnavi, V., Kuechler, W., & Petter, S. (2014). Design science research in information systems (2004). Jacob-Burckhardt-Str. 1a. Accessed on, 10.

Downloads

Published

2024-09-02

How to Cite

Mohammadi, A. (2024). E-Assessment Architecture for Higher Education: A Case Study of University Entrance Exam, Higher Education of Afghanistan. International Journal of Technology and Systems, 9(5), 1–14. https://doi.org/10.47604/ijts.2913

Issue

Section

Articles