Abstract
National Research and Education Networks (NRENs) that already exist in many countries are a promising infrastructure for nationwide e-assessments. However, researchers do not focus sufficiently on NREN based e-assessment architectures. Many e-assessment architectures based on public cloud computing already exist that have interoperability, security and adaptability problems. Stand-alone and web-based learning management systems (LMSs) have also limitations of adaptability for the nationwide e-assessment. In this paper, we investigate how to improve the interoperability, security and adaptability of e-assessment systems on the nationwide level. The Afghanistan research and education network (AfgREN) is considered as a case in this research. A requirements bazaar is used for gathering data about functional and non-functional requirements. We use design science as a research method and we analyze the relevant aspects of NREN-based e-assessment architectures by using the architecture tradeoff analysis method (ATAM).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gusev, M., Armenski, G.: E-assessment systems and online learning with adaptive testing. Stud. Comput. Intell. 528, 145–183 (2014)
Ramos, N.: E-assessment of matlab assignments in moodle: application to an introductory programming course for engineers, pp. 1–9 (2010)
Beetham, H., Sharpe, R.: Rethinking Pedagogy for a Digital Age. Routledge, Abingdon (2007)
Zhang, P., Wills, G., Gilbert, L.: IMS QTI engine on android to support mobile learning and assessment, pp. 1–8 (2010)
Hajjej, F., Hlaoui, Y.B., Ben Ayed, L.J.: Personalized and generic e-assessment process based on cloud computing. In: 2015 IEEE 39th Annual Computer Software and Applications Conference, pp. 387–392 (2015)
Singh, S., Chana, I.: A survey on resource scheduling in cloud computing: issues and challenges. J. Grid Comput. 68, 1–48 (2016)
Dillon, T., Wu, C.W.C., Chang, E.: Cloud computing: issues and challenges. In: 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 27–33 (2010)
Van Der Veldt, K., De Laat, C., Monga, I., Grosso, P., Dugan, J.: Carbon-aware path provisioning for NRENs. In: 2014 International Green Computing Conference (IGCC 2014) (2015)
Villalon, S.L.J., Hermosa, C.C.: The role of national research and education networks providing connectivity and advanced network services to virtual communities in collaborative R&E projects, p. 2630. The Mexican Case, CUDI (2016)
Muñoz-Calle, J., Fernández-Jiménez, F.J., Sierra, A.J., Martín-Rodríguez, Á., Ariza, T.: LTI for interoperating e-assessment tools with LMS. In: Caporuscio M., De la Prieta F., Di Mascio T., Gennari R., Gutiérrez Rodríguez J., Vittorini P. (eds.) Methodologies and Intelligent Systems for Technology Enhanced Learning. Advances in Intelligent Systems and Computing, vol 478. Springer, Cham (2016)
Miguel, J., Caballe, S., Xhafa, F., Prieto, J.: Security in online web learning assessment: providing an effective trustworthiness approach to support e-learning teams. World Wide Web 18(6), 1655–1676 (2015)
Parshall, C.G., Harmes, J.C., Davey, T., Pashley, P.J.: Innovative items for computerized testing. In: van der Linden, W.J., Glas, C.A.W. (eds.) Elements of Adaptive Testing. Statistics for Social and Behavioral Sciences, pp. 215–230. Springer, New York (2010)
Arif, M., Illahi, M., Karim, A., Shamshirband, S., Alam, K.A., Farid, S., Iqbal, S., Buang, Z., Balas, V.E.: An architecture of agent-based multi-layer interactive e-learning and e-testing platform. Qual. Quant. 49(6), 2435–2458 (2014)
Saay, S., Norta, A., Laanpere, M.: Towards an architecture for e-learning infrastructures on a national level: a case study of AfgREN. In: Gong, Z., Chiu, D., Zou, D. (eds.) Current Developments in Web Based Learning. LNCS, vol. 9584, pp. 98–107. Springer, Cham (2016). doi:10.1007/978-3-319-32865-2_11
Vaishnavi, V.K., Kuechler, B.: Design research in information systems. MIS Q. 28(1), 75–105 (2010)
Nussbaumer, A., Kravcik, M., Renzel, D., Klamma, R., Berthold, M., Albert, D.: A framework for facilitating self-regulation in responsive open learning environments 1 introduction, no. 1, pp. 1–41 (2014)
Sottet, J.-S., Vagner, A., Frey, A.G.: Model transformation configuration and variability management for user interface design. In: Desfray, P., Filipe, J., Hammoudi, S., Pires, L.F. (eds.) MODELSWARD 2015. CCIS, vol. 580, pp. 390–404. Springer, Cham (2015). doi:10.1007/978-3-319-27869-8_23
Kazman, R., Klein, M., Clements, P.: ATAM: Method for Architecture Evaluation. CMUSEI, vol. 4, p. 83 (2000)
Frezzo, D.C., Behrens, J.T., Mislevy, R.J.: Design patterns for Learning and assessment: facilitating the introduction of a complex simulation-based learning environment into a community of instructors. J. Sci. Educ. Technol. 19(2), 105–114 (2010)
Clark, R.A., Pua, Y.H., Fortin, K., Ritchie, C., Webster, K.E., Denehy, L., Bryant, A.L.: Validity of the Microsoft Kinect for assessment of postural control. Gait Posture 36(3), 372–377 (2012)
Beebe, M.: E-learning in Afghanistan, December 2010
Kumar, S., Gankotiya, A.K., Dutta, K.: A comparative study of moodle with other e-learning systems. In: 2011 3rd International Conference on Electronics Computer Technology (ICECT 2011), vol. 5, pp. 414–418 (2011)
Drechsler, A.: A postmodern perspective on socio-technical design science research in information systems. In: Donnellan, B., Helfert, M., Kenneally, J., VanderMeer, D., Rothenberger, M., Winter, R. (eds.) DESRIST 2015. LNCS, vol. 9073, pp. 152–167. Springer, Cham (2015). doi:10.1007/978-3-319-18714-3_10
Sorrentino, M., Virili, F.: Socio-technical perspectives on e-government initiatives. In: Traunmüller, R. (ed.) EGOV 2003. LNCS, vol. 2739, pp. 91–94. Springer, Heidelberg (2003). doi:10.1007/10929179_15
Schmidt, D.C.: Model-driven engineering. Comput. Comput. Soc. 39, 25–31 (2006)
Rodrigues Da Silva, A.: Model-driven engineering: a survey supported by the unified conceptual model. Comput. Lang. Syst. Struct. 43, 139–155 (2015)
Neto, R., Jorge Adeodato, P., Carolina Salgado, A.: A framework for data transformation in credit behavioral scoring applications based on model driven development. Expert Syst. Appl. 72, 293–305 (2017)
Saay, S., Norta, A.: Towards an Architecture for e-Learning Infrastructures on a National Level: A Case Study of AfgREN, vol. 20. Elsevier (2016)
Norta, A., Grefen, P., Narendra, N.C.: A reference architecture for managing dynamic inter-organizational business processes. Data Knowl. Eng. 91, 52–89 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Saay, S., Laanpere, M., Norta, A. (2017). Requirements for E-testing Services in the AfgREN Cloud-Based E-learning System. In: Joosten-ten Brinke, D., Laanpere, M. (eds) Technology Enhanced Assessment. TEA 2016. Communications in Computer and Information Science, vol 653. Springer, Cham. https://doi.org/10.1007/978-3-319-57744-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-57744-9_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57743-2
Online ISBN: 978-3-319-57744-9
eBook Packages: Computer ScienceComputer Science (R0)