An Evaluation Framework for The Adoption of Big Data Technologies in Higher Educational Institutions

  • Mercy Ziezo International University of Management, Namibia
  • Jude Odiakaosa Osakwe Namibia University of Science and Technology, Namibia
  • Martin Ujakpa Ghana Communication Technology University, Ghana
  • Gloria Iyawa Namibia University of Science and Technology, Namibia
Keywords: Framework, Education, Technology,

Abstract

The aim of this study is to develop a framework for the use of Big Data Technology in Higher Educational Institutions (HEIs). The research which employed a mixed method approach, is primarily based on relevant critical analysis and literature review of studies conducted within the Big Data Technology area in higher education institutions. It investigated the processes of monitoring student performance by Namibian HEIs. The challenges faced by Namibian HEIs on the use of BDT. The various methods of data collection by Namibian HEIs and determined the level of readiness to adopt BDT.in Namibian HEIs. The study further undertook quantitative surveys and qualitative interviews with staff of the three (3) higher institutions in Namibia. A sample of 345 participants from International University of Management (IUM), Namibia University of Science and Technology (NUST), and The University of Namibia comprising the study's population (UNAM) were selected for this study using the simple random sampling technique.  The Unified Theory of Acceptance and Use of Technology (UTAUT) constructs model was used to analyse to collect and analyse the quantitative data collected in this study. Finally, the study developed a sustainable framework that will guide the use of Big Data Technology in Namibian Higher Educational Institutions (HEIs). The validity of the framework was ascertained by expert reviews to ensure that the framework developed is effective and appropriate in fulfilling the purpose of the study and its objectives.

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Adeleke AO, SamsuAO N A, Mustapha A, Nawi N M (2018) A Group-Based Feature Selection Approach to Improve Classification of Holy Quran Verses, International Conference on Soft Computing and Data Mining 282-297

Anshari, M., Alas, Y., Sabtu, N. P. H., & Hamid, M. S. A. (2016). Online Learning:Trends, Issues, and Challenges in the Big Data Era. Journal of eLearning and Knowledge Society, 12(1), 121-134.

Arnold, K. & Pistilli, M. D. (2012). Course Signals: Using Learning Analytics to Increase Student Success. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 267–270, ACM.

Baig I M, Shuib and Yadegaridehkordi (2020) big data in education: a state of the art, limitations, and future research directions. International Journal of Educational Technology in Higher Education volume 17, Article number: 44

Baiocchi, R. R. (2019). ExploringData-Driven Youth Character Education Frameworks: A Systematic Literature Review on Learning Analytics Models and Participatory Design. Estudios Sobre Educacion, 37, 179-198.

Baker, R. S., & Yacef, K. (2009). The State of Educational Data Mining In 2009: A Review and Future Visions. JEDM| Journal of Educational Data Mining, 1(1), 3-17.

Baker, R., Corbett. A. T., Koedinger, K., & Wagner, A. Z. (2014). Off-task behaviour in the cognitive tutor classroom: When students game the system. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 383–390). (2) (PDF) Educational Data Mining and Learning Analytics.

Bamiah Mervat & Brohi Sarfraz & Bashari Rad Babak. (2018). Big data technology In education: Advantages, implementations, and challenges. Journal of Engineering Science and Technology.

Banica L. and Radulescu M. (2015). Using Big Data in the Academic Environment. 7th International Conference, The Economies of Balkan and Eastern Europe Countries in the changed world, EBEEC 2015, May 8-10, 2015

Banik, A, & Bandyopadhyay, S. K. (2016). Big Data- A Review on Analysing 3Vs. Journal of Scientific and Engineering Research, 2016, 3(1)

Barahate, S. R. (2012). Educational Data Mining as a Trend of Data Mining in Educational System. In IJCA Proceedings on International Conference and Workshop on Emerging Trends in Technology, 11–16.

Bates D W, Saria S, Ohno-Machado L, Shah A, Escobar G 2014 Big data in health care: using analytics to identify and manage high-risk and high-cost patients, Health Affairs 33(7) 1123-1131

Ben Daniel (2014). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology (2014) doi:10.1111/bjet.12230

Bhatia, M. (2019, July 12). What Is Monitoring and Evaluation? A Guide to the Basics. Atlan Humans of Data.https://humansofdata.atlan.com/2018/07/what-is-monitoring-andevaluation/

Bienkowski M, Feng M 2012 Enhancing teaching and learning through educational data mining and learning analytics: An issue, Proceedings of the conference advanced technology for education 1-64

Big Data - Definition, Importance, Examples & Tools. (2019, September 5).

RDA.https://www.rd-alliance.org/group/big-data-ig-data-development-ig/wiki/big-data definition-importance-examples-tools Big Data Security - Issues, Challenges, Tech & Concerns. (2019, September 4).

RDA.https://www.rd-alliance.org/group/big-data-ig-data-security-and-trust-wg/wiki/bigdata-security-issues-challenges-tech-concerns

Bill, S. (2014), what universities can learn from Big Data- higher education analyticsJournal of Computer and Education. 3, 34-46.

Bloge, F. (2019, July 23). 7 Data Collection Methods & Tools For Research.Formplus Blog.https://www.formpl.us/blog/data-collection-method

Bologa, R., Lupu, A. R., Boja, C., & Georgescu, T. M. (2017). SustainingEmployability: A Process for Introducing Cloud Computing, Big Data, Social Networks, Mobile programming,g and Cybersecurity into Academic Curricula. Sustainability, 9(12), 2235.

Botelho, B., & Bigelow, S. J. (2019, October 25). big data.

SearchDataManagement.https://searchdatamanagement.techtarget.com/definition/big- data

Brock, "Performance Analytics: The Missing Big Data Link Between Learning Analytics and Business Analytics", Performance Improvement, vol. 56, no. 7, pp. 6-16, 2017.

Bryman, A. & Bell, E. (2007). “Business Research Methods”, 2nd edition. Oxford University Press.

Bughin J, Chui M, Manyika J 2013 Ten IT-enabled business trends for the decade ahead, McKinsey Quarterly

Campbell J P, DeBlois P B, Oblinger D G 2007 Academic analytics: A new tool for a new era, EDUCAUSE review 42(4) 40

Chandarana P, Vijayalakshmi M 2014 Big data analytics frameworks, International Conference on Circuits, Systems, Communication, and Information Technology Applications (CSC) 430-434

Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012). A Reference Model for Learning Analytics. International Journal of Technology Enhanced Learning, 4(5/6), 318–331.

Chaurasia S S, Rosin A F 2017 From Big Data to Big Impact: analytics for teaching and learning in higher education, Industrial and Commercial Training

Chen, X., Self, J. Z., House, L., Wenskovitch, J., Sun, M., Wycoff, N., & North, C. (2017). Be the Data: Embodied Visual Analytics. IEEE Transactions on Learning Technologies, 11(1), 81-95.

Cortez, M. B. (2020, May 6). Universities Make Positive Changes through Data Collection. Technology Solutions. That Drive Education.https://edtechmagazine.com/higher/article/2016/09/universities-make positive-changes-through-data-collection

Crawford K, Schultz J 2014 Big data and due process: Toward a framework to redress predictive privacy harms, BCL Rev 55(93)

Creswell, J. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4thed.). Upper Saddle River, NJ: Pearson Education.

Dahdouh, K. (2020, March 11). Improving Online Education Using Big Data Technologies.Intech Open. https://www.intechopen.com/books/the-role-of-technology-ineducation/improving-online-education-using-big-data-technologies

Daniel B 2015 Biodata and analytics in higher education: Opportunities and challenges, British journal of educational technology, 46(5) 904-920

Daniel, "Big Data and analytics in higher education: Opportunities and challenges", British Journal of Educational Technology, vol. 46, no. 5, pp. 904-920, 2014.

Daniel, B. (2015). Big Data and Analytics in Higher Education: Opportunities and Challenges. British Journal of Educational Technology, 46(5), 904-920.

Daniel, B. K. & Butson, R. (2013). Technology enhanced analytics (TEA) in higher education, Proceedings of the International Conference on Educational Technologies,29 November–1 December, 2013, Kuala Lumpur, Malaysia, and pp. 89–96.

Daniel, B. K., & Butson, R. (2013). Technology Enhanced Analytics (TEA) in Higher Education. International Association for the Development of the Information Society, 89-96.

Daniel, Ben. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology.

Dapiton, E. P., & Canlas, R. B. (2020). Value Creation of Big Data Utilization: The Next Frontier for Productive Scholarship among Filipino Academics. European Journal of Educational Research, 9(1), 423-431.

Dargam, Fatima & Zaraté, Pascale & Ribeiro, Rita & Liu, Shaofeng. (2017). The impact of Big Data in Decision Making Processes (to appear / 2017). International Journal of Information Technology and Decision Making.Data Analytics in American Higher Education- A Conceptual Model for Implementation. Industry and Higher Education. 32. 10.1177/0950422218770937.

Davenport T H, Patil D J (2012) Data scientist, Harvard business review 90(5) 70 76

Elgendy N, Elragal A (2014) Big data analytics: a literature review paper, Industrial Conference on Data Mining 214-227

David S. Walonick, Ph.D. (2005) Elements of a research proposal and report. Oxford University press, Australia. Education.Department of Digital Systems, University of Piraeus. IJCSI International Journal of Computer Science Issues, Vol. 11, Issue 5, No 1, September 2014

Elameer, Amer & Idrus, Rozhan. (2010). Modified Khan eLearning Framework for the Iraqi Higher Education. International Journal of the Computer, the Internet and Management.

Ellaway, M. Pusic, R. Galbraith and T. Cameron, "Developing the role of big data and analytics in health professional education", Medical Teacher, vol. 36, no. 3, pp. 216-222, 2014.

Esomonu, N. P. M., Esomonu, M. N., & Eleje, L. I. (2020). Assessment Big Data in Nigeria: Identification, Generation and Processing in the Opinion of the Experts. International Journal of Evaluation and Research in Education, 9(2), 345-351.

Fisher D, DeLine R, Czerwinski M, Drucker S 2012 Interactions with big data analytics, interactions 19(3) 50-59 for Big Data Analytics in American Higher Education- A Conceptual Model for Implementation. Industry and Higher Education.32.10.1177/0950422218770937.Form.https://www.jotform.com/data collection-methods/

Freeman, L. (2004). The Development of Social Network Analysis. A Study in the Sociology of Science, 1, 687, 159-167.

Friedman, A. (2018). Measuring the Promise of Big Data Syllabi. Technology, Pedagogy and Education, 27(2), 135-148.

Fry (2018). Literature Review Template. Writing Centre. Thompson River University Press

Fulton, J. (2020, November 12). How to guide and monitor student learning ClasscraftBlog.Resource Hub for Schools and Districts. https://www.classcraft.com/blog/monitoringstudent-learning/

Fynn, A. (2016). Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success. The International Review of Research in Open and Distributed Learning, 17(6). Global Journal of Information Technology. 6.10.18844/gjit.v6i1.383

Gokul, K., Sundararajan, M., & Paul, P. (2019). Big Data Management, Data Science and Data Analytics: What is it and Where— An Educational in Indian Perspective. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(12).

Golding, P. and O. Donaldson, 2006. Predicting academic performance.Proceedings of the 36th ASEE/IEEE Frontiers in Education Conference T1D-21, Oct. 28-31, San Diego,CA., pp: 1-6.

Gupta, B., Goul, M., & Dinter, B. (2015). Business Intelligence and Big Data in Higher Education: Status of a Multi-Year Model Curriculum Development Effort for Business School Undergraduates, MS Graduates, and MBAs. Communications of the Association for Information Systems, 36, Article 23.

Hariri, R. H., Fredericks, E. M., & Bowers, K. M. (2019). Uncertainty in Big Data Analytics: The survey, Opportunities, and Challenges. Journal of Big Data, 6(1), 44.

Höchtl, J. (2016). Big data in the policy cycle: Policy decision making in the digital era.Taylor&Francis.https://www.tandfonline.com/doi/full/10.1080/1099392.2015.1125187

Horton M. (2019). Making qualitative data more visible in policy: a critical appraisal of meta synthesis. Sage journals. Volume: 20 issue: 5, page(s): 534-548

doi.org/10.1177/1468794119881953https://joshbersin.com: https://joshbersin.com/2017/03/the-disruption-of-digital-learning-ten-things-we-have-learned/

Huda, M., Anshari, M., Almunawar, M. N., Shahrill, M., Tan, A., Jaidin, J. H., & Masri, M. (2016). Innovative Teaching in Higher Education: The Big Data Approach. TOJET, November, Special Issue for INTE 2016, 1210-1216.

Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., & Muhamad, N. (2018). Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources. International Journal of Emerging Technologies in Learning (iJET), 13(1), 23-36.

Huda, M., Maseleno, A., Teh, K. S. M., Don, A. G., Basiron, B., Jasmi, K. A., & Ahmad, R. (2018). Understanding Modern Learning Environment (MLE) in Big Data Era. International Journal of Emerging Technologies in Learning (iJET), 13(05), 71-85

IBM Software Group. (2001). Analytics for Achievement. Ottawa: IBM Canada.

Hussain Amir and Erik Cambria. 2018. Semi-supervised learning for big social data analysis. Neurocomputing 275: 1662–73.

Hwang, Youngsik. (2019). Adoption of Big Data in Higher Education for Better Institutional Effectiveness. 2. 31-44. 10.20448/815.21.31.44.

Inoubli, Wissem & Aridhi, Sabeur & Mezni, Haithem & Jung, Alexander. (2016). Big Data Frameworks: A Comparative Study. Iqbal, Muhammad & Soomro, Tariq. (2015). Big Data Analysis: Apache Storm

Johnson, L., Adams, S., & Cummins, M. (2012). The 2012 Horizon Report. Austin: The New Media Consortium.

Johnson, L., Levine, A., Smith, R., & Stone, S. (2010). The 2010 Horizon Report. The New Media Consortium.

Jones, K. M. (2019). Learning Analytics and Higher Education: A Proposed Model for Establishing Informed Consent Mechanisms to Promote Student Privacy and Autonomy. International Journal of Educational Technology in Higher Education, 16(1), 24.

Jones, K. M. K. (2019) Learning analytics and higher education: a proposed model for establishing informed consent mechanisms to promote student privacy and autonomy. International Journal of Educational Technology in Higher Education. 66:24. https://doi.org/10.1186/s41239-019-0155-0

Jones, S. (2012). Technology review: the possibilities of learning analytics to improve learner-centered decision-making. Community College Enterprise, 18, 1, 89–92. Jurkiewicz, "Big Data, Big Concerns: Ethics in the Digital Age", Public Integrity, vol. 20, no. 1, pp. S46-S59, 2018.

Katrina Sin and Loganathan Muthu (2015). Application of big data in education data mining and learning analytics – a literature review. Faculty of Education and Languages, Open University Malaysia, Malaysia. ICTACT journal on soft computing: specialissue on soft computing models for big data, july 2015, volume: 05, issue: 04

Khan, S., Liu, X., Shakil, K. A., & Alam, M. (2019). Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems. International Journal of Advanced Computer Science and Applications (IJACSA), 10(6), 292-304.

Kim, D. R., Hue, J. P., & Shin, S. S. (2016). Application of Learning Analytics in University Mathematics Education. Indian Journal of Science and Technology, 9(46), 1-5.

Klochkova, E., Serkina, Y., Prasolov, V., & Movchun, V. (2020). The Digitalisation of the Economy and Higher Education. Space and Culture, India, 7(4), 70 82.

Kyritsi, K. H., Zorkadis, V., Stavropoulos, E. C., & Verykios, V. S. (2019). The pursuit of patterns in educational data mining as a threat to student privacy. Journal of Interactive Media in Education, 2019(1), 2.https://doi.org/10.5334/jime.502.

Lane, J. E., & Finsel, B. A. (2014). Fostering Smarter Colleges and Universities. Building a Smarter University: Big Data, Innovation, and Analytics, 3-26.

Laux, C., Li, N., Seliger, C., & Springer, J. (2017). Impacting Big Data Analytics in Higher Education through Six Sigma Techniques. International Journal of Productivity and Performance Management, 66(5), 662-679.

Lestari, Utami & Setiawan, David. (2017). Data Collection Methods on Learning Outcome,Student Achievement and Academic Achievement. GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling. 7. 164. 10.24127/gdn.v7i2.984. Logicaa B & Magdalenaa R (2015). Using Big Data in the Academic Environment . ProcediaEconomics and Finance 33. 277 – 286

Li, Y., Huang, C., & Zhou, L. (2018). Impacts on Statistics Education in Big Data Era. Educational Sciences: Theory & Practice, 18(5), 1236-1245.

Literature: Gaps and Avenues for Future Research", SSRN Electronic Journal, 2012. Dommnguez Figaredo, "Big Data, analiitica del aprendizaje educacioon basada en datos (Big Data, Learning Analytics & Data-driven Education)", SSRN Electronic Journal, 2018

Lnenicka, M., Kopackova, H., Machova R. & Komarova, J. (2020). Big and open linked data analytics: a study on changing roles and skills in the higher educational process, International Journal of Educational Technology in Higher Education, 17:28 https://doi.org/10.1186/s41239-020-00208-z

Lodge, J. M., Alhadad, S. S., Lewis, M. J., & Gašević, D. (2017). Inferring Learning from Big Data: The Importance of a Transdisciplinary andMultidimensional Approach. Technology, Knowledge and Learning, 22(3), 385-400.

Lohr, S. (2012, 02 11). The Age of Big Data. Big Data’s Impact in the World, pp. 1 5. Long, P., & [85] Siemens, G. (2011). Penetrating the fog: Analytics in learning and education. Educause Review, 46(5), 30–40 Retrieved from https://er.educause.edu/articles/2011/9/ penetrating-the-fog-analytics-in learning-and-education.

Lorelli S. Nowell1 , Jill M. Norris1 , Deborah E. White1 , and Nancy J. Moules (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods.Volume 16: 1–13

Lu,J. (2020). Data Analytics Research-Informed Teaching in a Digital Technologies Curriculum. INFORMS Transactions on Education, 20(2), 57-72.

Macfadyen, L. P., Dawson, S., Pardo, A., & Gaševic, D. (2014). Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge. Research & Practice in Assessment, 9, 17-28.

Mahroeian, H., & Daniel, B. K. (2016, June). The Dynamic Landscape of Higher Education: The Role of Big Data and Analytics. In EdMedia+ Innovate Learning (pp. 1320-1325). Association for the Advancement of Computing in Education (AACE).

Manyika J 2011 Big data: The next frontier for innovation, competition, and productivity, http://wwwMcKinseyey. com/Insights/MGI/Research/

Manyika, J., Chui, M., Brown, B., et al. (2011) Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute.

Margo, H. (2004). Data Mining in the E-Learning Domain. Campus-Wide Information Systems, 21(1), 29-34.

Marín Marín, José & López-Belmonte, Jesús & Fernández-Campoy, Juan-Miguel & Romero-Rodríguez, José-María. (2019). Big Data in Education. A Bibliometric Review. Social Sciences. 8. 223. 10.3390/socsci8080223.

Martinez, C. P. J., Catasús, G. M. & Fontanillas, T. R. (2020). Impact of using learning analytics in asynchronous online discussions in HE, International Journal of Educational Technology in Higher Education. 17:39 https://doi.org/10.1186/s41239-020-00217-y

Mazzei, M. J. (2019, February 26). Big Data and Strategy: Theoretical Foundations and New Opportunities. IntechOpen.https://www.intechopen.com/books/strategy-and bahaviours-in-the digital-economy/big-data-and-strategy-theoretical-foundations-and new opportunities

McAfee, A. and Brynjolfsson, E. (2012). Big Data. The Management Revolution. Harvard Business Review, 90(10), pp. 60–9.

McGill, T. J., & Klobas, J. E. (2009). A Task–Technology Fit View of Learning. Management System Impact. Computers & Education, 52(2), 496-508.

Mehmood, R., Alam, F., Albogami, N. N., Katib, I., Albeshri, A., & Altowaijri, S. M. (2017). UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies. IEEE Access, 5, 2615-2635.

Merval A. Bamiah, Sanfraz N. Brohi and babak B. Rad (2018). Big Data Technology in education: advantages, implementations and challenges. Journal of engineering science and technology special issue on ICCSIT 229-241.

Miah, J. S., Miah, M. & Shen, J. (2020) Editorial note: Learning management systems and big data technologies for higher education, Education and Information Technologies (2020) 25:725–730 https://doi.org/10.1007/s10639-020-10129-z

Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng - Chi Liu “Establishment of Big Data Application for Education Industry”, 2017 2nd InternationalConference on Image, Vision, and Computing.

Molina H MHM19 Big-Data Readiness of Four-Year Public and Private North Carolina Higher Education Institutions, ProQuest LLC

Molla, Alemayehu & Licker, Paul. (2005). Perceived E-Readiness Factors in E-Commerce Adoption: An Empirical Investigation in a Developing Country. International Journalof Electronic Commerce. 10. 83-110.

Moscoso-Zea, O., Castro, J., Paredes-Gualtor, J., & Luján-Mora, S. (2019). A Hybrid Infrastructure of Enterprise Architecture and Business Intelligence & Analytics for Knowledge Management in Education. IEEE Access, 7, 38778-38788.

Murumba J, &Micheni, E. (2017). Big Data Analytics in Higher Education: A Review. The International Journal of Engineering and Science. 06. 14-21. 10.9790/1813 0606021421.

Muthukrishnan, Sri & Yasin, Norizan & Govindasamy, Mallika. (2018). Big data framework for students' academic performance prediction: A systematic literature review. 376-382. 10.1109/ISCAIE.2018.8405502.

Nguyen, A., Gardner, L., & Sheridan, D. (2017). A Multi-Layered Taxonomy of Learning Analytics Applications. In Proceedings of the Pacific Asia Conference on Information Systems, Article 54.

Nguyen, A., Gardner, L., Sheridan, D. (2020). Data Analytics in Higher Education: An Integrated View. Journal of Information Systems Education, Vol. 31(1) Winter 2020.

Noura A.Alsheikh (2019). Developing an integrated framework to utilize big data for higher education institutions in saudi arabia. International Journal of Computer Science & Information Technology (IJCSIT) Vol 11, No 1, February 2019 DOI: 10.5121/ijcsit.2019.11103 31

NouraA. and Alsheikh K, (2019) Developing a framework to utilize Big Data for higher education, Information Management Department, Al Imam Mohammad Ibn SaudIslamic University (IMSIU), Saudi Arabia.

Novak, J. D., & Cañas, A. J. (2008). The Theory Underlying Concept Maps and How to Construct and Use Them. Technical Report IHMC CmapTools, Florida.

Novan Zulkarnain, Meyliana, Ahmad Nizar Hidayanto and Harjanto Prabowo (2019). The critical success factors for Big Data adoption in government. International Journal of Mechanical Engineering and Technology (IJMET) Volume 10, Issue 03, March 2019,pp. 864-875. Article ID: IJMET_10_03_089. ISSN Print: 0976-6340 and ISSNOnline: 0976 6359

Oblinger, D. G. (2012). Let’s talk analytics. EDUCAUSE Review, July/August, 10 13. OECD (2013), OECD Education at a Glance 2013 OECD indicators, OECD Publishing, Paris.

OECD (2016), OECD Science, Technology and Innovation Outlook 2016, OECD, Paris. Oliver Marsh, Lajos Maurovich Horvat, Dr Oli.via Stevenson “Big Data. and Education: What’s the Big Idea? “ UCL Policy Briefing September 2014.

Oi, M., Yamada, M., Okubo, F., Shimada, A., & Ogata, H. (2017). Reproducibility of findings from educational big data. Paper presented at the Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 536–537). ACM: https://doi.org/10.1145/3027385.3029445

Sánchez, J. (2016) Editor. Nuevas Ideas en Informática Educativa, Volumen 12, p. 45 – 52. Santiago de Chile.

b) Osakwe J., Dlodlo N. & Jere N (2017). Where learners' and teachers' perceptions on mobile learning meet: A case of Namibian secondary schools in the Khomas region. Technology in Society (Elsevier) (49). 16-30. https://doi.org/10.1016/j.techsoc.2016.12.004

Padgavankar M. H.. and Gupta S.R (2014). Big Data Storage and Challenges. International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014, 22182223

Paideya & Dhunpath (2018). Student Academic Monitoring and Support in Higher Education: A Systems Thinking Perspective. Journal of Student Affairs in Africa. Volume 6(1)2018, 33–48

Park, Yoon Soo PhD; Konge, Lars MD, PhD; Artino, Anthony R. Jr PhDThe Positivism Paradigm of Research, Academic Medicine: May 2020 – Volume 95 – Issue5 – p690694 doi: 10.1097/ACM.0000000000003093

Pawar Supriya (2016). A Study on Big Data Security and Data Storage

Infrastructure.International Journal of Advanced Research in Computer Science and SoftwareEngineering. 6. 539-542.

Pecori, R. (2018). A virtual learning architecture enhanced by fog computing and big data streams. Future Internet, 10(1), 4. https://doi.org/10.3390/fi10010004 Perspective. International Journal of Computer Trends and Technology. 19. 9-14. 10.14445/22312803/IJCTT-V19P103.

Picciano, "The Evolution of Big Data and Learning Analytics in American Higher Education", Online Learning, vol. 16, no. 3, 2012.B . D'Ippolito, "An Exploratory Review of the Design

Picciano, A. G. (2012). The evolution of Big data and learning activities in America higher education. Journal of Asynchronous Learning Networks, Vol. 16. Issue 3.

Picciano, A. G. (2012). The evolution of big data and learning analytics in American higher education. Journal of Asynchronous Learning Networks, 16, 3, 9–20.

Picciano, A. G. (2012). The Evolution of Big Data and Learning Analytics in American Higher Education. Journal of asynchronous learning networks, 16(3), 9-20.

Picciano, A. G. (2014). Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns. IJIMAI, 2(7), 35-43.

Picciano, A.G. (2012). The evolution of big data and learning analytics in American Higher education. Journal of Asynchronous Learning Networks, 16 (3), 9-20.

Pickell, D. (2018, November 16). Access denied | www.g2.com used Cloudflare to

Restrict access. G2. https://www.g2.com/articles/structured-vs-unstructured-data

Prensky, M. (2003). Digital Game-Based Learning. Computers in Entertainment (CIE), 1(1), 21-21.

Prinsloo, P., Archer, E., Barnes, G., Chetty, Y., & Van Zyl, D. (2015). Big (Ger) Data as Better Data in Open Distance Learning. International Review of Research in Open and Distributed Learning, 16(1), 284-306.

Provost, F. and Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data Driven Decision Making. Big Data, 1(1), pp. 51–59.

Orange-Roglá, Sergio;Chalmeta, Ricardo, 2019. Framework for implementing a Big data ecosystem in organizations.. Communications of the ACM Journal, 62(1).

Rabella & Marc-Fuster (2016), OECD Centre for Educational Research and Innovation. Nov 07, 2016

Reidenberg, J. R., & Schaub, F. (2018). Achieving Big Data Privacy in Education. Theory and Research in Education, 16(3), 263-279.

Romero, C., & Ventura, S. (2010). Educational Data Mining: A Review of the State Of The Art. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 40(6), 601-618.

Ruiz-Palmero J S, Colomo-Magaña E, Ríos-Ariza J M and Gómez-García M (2020). Big Data in Education: Perception of Training Advisors on Its Use in the EducationalSystem.Https://Ideas.Repec.Org.https://ideas.repec.org/a/gam/jscscx/v9y2020i453d345814.html

Russom P 2013 Managing big data, TDWI Best Practices Report, TDWI Research 1-40Altaye, A. A., & Nixon, J. S. (2019). A Comparative Study on Big Data Applications in Higher Education. International Journal of Emerging Trends in Engineering Research, 7(12), 739-745.

Safer, N. (2005). How Student Progress Monitoring Improves Instruction EducationalLeadership.Educational Leadership.http://www.ascd.org/publications/educationalleadership/feb05/vol62/num05/How Student-Progress-Monitoring Improves

Saunders, M., Lewis, P. & Thornhill, A. (2012) “Research Methods for Business

Students”6th edition, Pearson Education Limited.

Schmarzo B. (2013) Big Data. Understanding how data powers big businesses. Wiley 2013.

Sedkaoui, S. (2018). How data analytics is changing entrepreneurial opportunities? Intl. Journal of Innovation Science, 10(2), 274–294.https://doi.org/10.1108/IJIS-09-2017-0092.

Sedkaoui, S., & Khelfaoui, M. (2019). Understand, Develop and Enhance theLearning Process with Big Data. Information Discovery and Delivery, 47(1),2-16.

Semiu, A. A. & Zulikha, J. (2015). A Conceptual Framework for Students’ Data Driven Decision Making Process in Higher Education Institutions.Advance Science Letters, American Scientific Publishers. 27(2), 2256-2260, 2015 (Indexed in ISI & Scopus). ISSN: 1936-6612 (Print): EISSN: 1936 7317 (Online).

Shah, B., & Choksi, D. (2019). Big Data Analytics Model for the Education Sector. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(12).

Shobha Pacha & Dhamodaran Vigneswari (2016). Security and Privacy in Big Data Analytics. 10.13140/RG.2.2.34750.54080.

Shorfuzzaman, M., Hossain, M. S., Nazir, A., Muhammad, G., & Alamri, A. (2019). Harnessing the Power of Big Data Analytics in the Cloud to Support Learning Analytics in Mobile Learning Environment. Computers in Human Behavior, 92, 578-588.

Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCRevieweview, 46(5), 30.

Simon, M. K. (2011). Dissertation and scholarly research: Recipes for success (2011 Ed.).Seattle, WA, Dissertation Success, LLC.

Singh, D. S., & Singh, G. (2017). Big data – A Review. International Research Journal of Engineering and Technology, 4(4), 822-824.

Slade, S. & Prinsloo, P. (2013). Learning analytics: ethical issues and dilemmas. American Behavioral Scientist, 57, 10, 1509–1528.

Smith, A., & Rose, R. (2002). Essential Elements: Prepare, Design, and Teach Your Online Course. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2723-2724). Association for the Advancement of Computing in Education (AACE).

Sorensen, L. C. (2018). “Big Data” in Educational Administration: An Application for Predicting School Dropout Risk. Educational Administration Quarterly, 45 (1), 1– 93:https://doi.org/10.1177/0013161x18799439

Suhasini, B., & Kumar N., S. (2019). Emerging Trends and Future Perspective of Human Resource Reskilling in Higher Education. International Journal of Recent Technology and Engineering (IJRTE), 8(2S4).

Sun, Shiwei & Cegielski, Casey & Jia, Lin & Hall, Dianne. (2016). Understanding the Factors Affecting the Organizational Adoption of Big Data. Journal of Computer Information Systems. 1-11. 10.1080/08874417.2016.1222891.

Swain, H. (2013, August 5). The Guardian. Retrieved October 15, 2018, from http://www.theguardian.com/education/2013/aug/05/electronic-data-trail-huddersfield-loughborough-university

Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona. (2019). implementing big data strategies: A managerial perspective. Business Horizons. 62. 347-358.10.1016/j.bushor.2019.02.001.

Taylor, S., & Todd, P. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176. Retrieved June 22,2021, from http://www.jstor.org/stable/23011007

Tekiner, Firat & Keane, John. (2013). Big Data Framework. Proceedings – 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 1494-1499. 10.1109/SMC.2013.258.

Thompson, Ron & Compeau, Deborah & Higgins, Christopher. (2006). Intentions to Use Information Technologies: An Integrative Model.. JOEUC. 18. 25 46. 10.4018/978-159904-295-4.ch006.

Tulasi B. (2013). Significance of Big Data and Analytics in Higher Education.

International Journal of Computer Applications (0975 – 8887) Volume 68– No.14, April 2013

Tulasi, B., & Suchithra, R. (2019). Personalized Learning Environment in Higher

Education through Big Data and Blended Learning Analytics. International Journal of Recent Technology and Engineering (IJRTE), 8(3).

Umezuruike C & Ngugi N H (2020). Imminent Challenges of Adoption of Big Data in Educational Systems in Sub-Saharan Africa Nations. International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5

Van Barneveld A, Arnold K E, Campbell J P 2012 Analytics in higher education: Establishing a common language, EDUCAUSE learning initiative 1(1) l-ll

Van Eck, R. (2006). Digital game-based learning: It's not just the digital natives who are restless. EDUCRevieweview, 41(2), 16.

Venkatraman, S., Overmars, A., & Wahr, F. (2019). Visualization and Experiential Learning of Mathematics for Data Analytics. Computation, 7(3), 37.

Ville Heilala(2018). Framework for Pedagogical Learning Analytics

https://jyx.jyu.fi/bitstream/handle/123456789/57890/URN:NBN:fi:jyu20180508250pdf?se1

Wagner, E. & Ice, P. (2012). Data changes everything: delivering on the promise of learning analytics in higher education. EDUCAUSE Review, July/August, 33–42.

Wang L, Yang M, Patha Z H , Salam S, Shahzad K and Zeng J. (2018). Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique.

West, D.M (2012), Big Data for Education: Data Mining, Data Analytics, and Web Dashboards,”Gov. Stud. Brook. US Reuters, 2012.

Whitman, M. (2020). “We Called That a Behavior”: The Making of Institutional Data. Big Data society, 7(1), 1-13.

Williamson, B. (2018). The hidden architecture of higher education: building a big data Infrastructure for the smarter university’. International Journal of Educational Technology in Higher Education. 15:12. DOI 10.1186/s41239-018-0094-1

Xu, B. & Recker, M. (2012). Teaching analytics: a clustering and triangulation study of digital library user data. Educational Technology & Society, 15, 3, 103 115.

Yanyan Zhang and Beibei Yin, “Big Data Analytics in MOOCs”, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communication; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.M. Young, the Technical Writer's Handbook. MillValley, CA: University Science, 1989.concludes with some future work directions.

Zhang, G., Li, J., & Hao, L. (2015). Research on Cloud Computing and Its Application in Big Data Processing of Distance Higher Education.International Journal of Emerging Technologies in Learning, 10(8), 55-58.

Zikopoulos, P., & Eaton, C. (2011). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill OsborneMedia.

Zimmermann, E. (2018). Q&A: Kandice Porter Explains How Data Analytics Helped Failure Rates Plummet.

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2023-02-17
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Ziezo, M., Osakwe, J., Ujakpa, M., & Iyawa, G. (2023). An Evaluation Framework for The Adoption of Big Data Technologies in Higher Educational Institutions. Journal of Information Systems and Informatics, 5(1), 44-86. https://doi.org/10.51519/journalisi.v5i1.385