A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies
| Format: | Restricted Document |
|---|
| _version_ | 1860797093702008832 |
|---|---|
| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 |
| date | 2014-12-01 08:19:16 |
| format | Restricted Document |
| id | 11347 |
| institution | UniSZA |
| internalnotes | [1] Aziz, A., et al., Integration of Heterogeneous Databases in Academic Environment Using Open Source ETL Tools. in The International Conference on Informatics & Applications (ICIA,) 2012. Terengganu, Malaysia. [2] Romero, C. and Ventura, S., Educational Data Mining: A Survey from 1995 to 2005, ExpertSystems with Applications, 33(1), 135-146 , 2007. [3] Zorrilla, M., Garcia, D., and Alvarez, E., A Decision Support System to Improve e-Learning Environments, In Proceedings of the 2010 EDBT/ICDT Workshops, DOI:10.1145/1754239.1754252 ,2010. [4] Merceron, A. and Yacef, K., Interestingness Measures for Association Rules in Educational Data, 1st International Conference on Educational Data Mining (EDM08), Montreal, Canada, 2008. [5] Sheard, J., Ceddia, J., Hurst, J., & Tuovinen, J. , Inferring student learning behaviour from website interactions: A usage analysis, Journal of Education and Information Technologies, 8(3), 245–266, 2003. [6] Kimball, R., The Data WarehouseToolkit. 2006: Wiley and Sons. [7] Nebot, V. and R. Berlanga. Building Data Warehouses with Semantic Data. in Proceedings of the 2010 EDBT/ICDT Workshops. 2010: ACM. [8] Turban, E., et al., Business Intelligence : A Managerial Approach. 2008: Pearson Prentice Hall Upper Saddle River. [9] Negash, S., Business Intelligence. Communications of the Association for Information Systems, 2004. 13(1): p.177-195. [10] Piadade, M., B. and Santos, m., Y., Business intelligence in higher education, Information Systems and Technologies (CISTI), 2010. [11] A. Payne. Handbook of CRM. Achieving Excellence in Customer Management. Elsevier-BH, 2006. [12] Aziz, A., et al., Intelligent System for Personalizing Students’ Academic Behaviors - A Conceptual Framework, International Journal on New Computer Architectures and Their Applications (IJNCAA) 2(1): 138-153, 2012. [13] Chen, M., Applying Business Intelligence In Higher Education Sector: Conceptual Model and Users Acceptance, Master Research Thesis, University of Bedfordshire, 2012. [14] El Akkaoui, Z. and E. Zimányi. Defining ETL Worfklows using BPMN and BPEL. in Proceedings of the ACM 12th International Workshop on Data Warehousing and OLAP. 2009: ACM. [15] Hanlin, Q., Xianzhen, J. and Xianrong, Z., Research on Extract, Transform and Load(ETL) in Land and Resources Star Schema Data Warehouse , Fifth International Symposium on Computational Intelligence and Design, 2012. [16] Ramos, J., V., and Oliveira, R., Data Warehousing in the Context of a Bologna, Undergraduate Degree, IEEE Global Engineering Education Conference (EDUCON), 2013. |
| originalfilename | 5568-01-FH02-FIK-14-01877.jpg |
| person | UniSZA Unisza unisza |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=11347 |
| spelling | 11347 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=11347 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal UniSZA Unisza unisza image/jpeg inches 96 96 1420 18 18 793 2014-12-01 08:19:16 1420x793 5568-01-FH02-FIK-14-01877.jpg UniSZA Private Access A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies Journal of Theoretical and Applied Information Technology Business Intelligence (BI) is the process of getting the right information to the right decision makers at the right time and in the right format. It is a platform that supports analysis, reporting and decision making. Educational Business Intelligence (EduBI) architecture utilizes BI technologies to integrate various sources of academic data into a single repository (Educational Data Warehouse – EDW). BI is a useful tool since it reinforces the process of performance and analysis evaluation that is required within all levels of educational environment. Nowadays, there are various BI products ranging from simple reporting technologies to sophisticated BI platforms. Selection of a BI tool deemed appropriate for a particular task may turn out to be difficult; hence careful considerations must be made in the selection process. This paper proposed an EDW architecture that employs the integration of proprietary and open source BI tools. 69 1 Little Lion Scientific Little Lion Scientific 50-58 [1] Aziz, A., et al., Integration of Heterogeneous Databases in Academic Environment Using Open Source ETL Tools. in The International Conference on Informatics & Applications (ICIA,) 2012. Terengganu, Malaysia. [2] Romero, C. and Ventura, S., Educational Data Mining: A Survey from 1995 to 2005, ExpertSystems with Applications, 33(1), 135-146 , 2007. [3] Zorrilla, M., Garcia, D., and Alvarez, E., A Decision Support System to Improve e-Learning Environments, In Proceedings of the 2010 EDBT/ICDT Workshops, DOI:10.1145/1754239.1754252 ,2010. [4] Merceron, A. and Yacef, K., Interestingness Measures for Association Rules in Educational Data, 1st International Conference on Educational Data Mining (EDM08), Montreal, Canada, 2008. [5] Sheard, J., Ceddia, J., Hurst, J., & Tuovinen, J. , Inferring student learning behaviour from website interactions: A usage analysis, Journal of Education and Information Technologies, 8(3), 245–266, 2003. [6] Kimball, R., The Data WarehouseToolkit. 2006: Wiley and Sons. [7] Nebot, V. and R. Berlanga. Building Data Warehouses with Semantic Data. in Proceedings of the 2010 EDBT/ICDT Workshops. 2010: ACM. [8] Turban, E., et al., Business Intelligence : A Managerial Approach. 2008: Pearson Prentice Hall Upper Saddle River. [9] Negash, S., Business Intelligence. Communications of the Association for Information Systems, 2004. 13(1): p.177-195. [10] Piadade, M., B. and Santos, m., Y., Business intelligence in higher education, Information Systems and Technologies (CISTI), 2010. [11] A. Payne. Handbook of CRM. Achieving Excellence in Customer Management. Elsevier-BH, 2006. [12] Aziz, A., et al., Intelligent System for Personalizing Students’ Academic Behaviors - A Conceptual Framework, International Journal on New Computer Architectures and Their Applications (IJNCAA) 2(1): 138-153, 2012. [13] Chen, M., Applying Business Intelligence In Higher Education Sector: Conceptual Model and Users Acceptance, Master Research Thesis, University of Bedfordshire, 2012. [14] El Akkaoui, Z. and E. Zimányi. Defining ETL Worfklows using BPMN and BPEL. in Proceedings of the ACM 12th International Workshop on Data Warehousing and OLAP. 2009: ACM. [15] Hanlin, Q., Xianzhen, J. and Xianrong, Z., Research on Extract, Transform and Load(ETL) in Land and Resources Star Schema Data Warehouse , Fifth International Symposium on Computational Intelligence and Design, 2012. [16] Ramos, J., V., and Oliveira, R., Data Warehousing in the Context of a Bologna, Undergraduate Degree, IEEE Global Engineering Education Conference (EDUCON), 2013. |
| spellingShingle | A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
| summary | Business Intelligence (BI) is the process of getting the right information to the right decision makers at the right time and in the right format. It is a platform that supports analysis, reporting and decision making. Educational Business Intelligence (EduBI) architecture utilizes BI technologies to integrate various sources of academic data into a single repository (Educational Data Warehouse – EDW). BI is a useful tool since it reinforces the process of performance and analysis evaluation that is required within all levels of educational environment. Nowadays, there are various BI products ranging from simple reporting technologies to sophisticated BI platforms. Selection of a BI tool deemed appropriate for a particular task may turn out to be difficult; hence careful considerations must be made in the selection process. This paper proposed an EDW architecture that employs the integration of proprietary and open source BI tools. |
| title | A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
| title_full | A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
| title_fullStr | A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
| title_full_unstemmed | A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
| title_short | A framework for educational data warehouse (EDW) architecture using business intelligence (BI) technologies |
| title_sort | framework for educational data warehouse (edw) architecture using business intelligence (bi) technologies |