Knowledge Visualization of Students’ Performances: Antecedent of Knowledge Generation Model and Decision Making Model
-
https://doi.org/10.14419/ijet.v7i3.20.27346 -
Knowledge Visualization, Prescriptive, Internet Usage, Students Performance. -
Abstract
Visualization is critical to data analysis and has been used to portray intrinsic structure and pattern of data. However, there have been fewer study to visualize knowledge on the performance of student with respect to the internet and infrastructure provided by the institution of higher learning. The objective of this study is to propose a model that capable of visualizing knowledge on student’s performance in the institution of higher learning. The proposed model was developed through the integration of knowledge generation and decision making models. The model is believed to serve as a basis for analyzing and evaluation of services provided to the students by their respective institutions.
Â
Â
-
References
[1] Awais; Bilal; Usman, M. Waqas, and Sehrish (n.d). Impact of Internet use on student’s academic performance. URL: http://www.scribd.com/doc/9191411/Impacts-of-Internet-Usageon-Students.
[2] A.R. Hevner, C. Davis, R.W. Collins, and T.G. Gill, “A Neurodesign Model for Is Researchâ€, Informing Science: the International Journal of an Emerging Transdiscipline, 17, 2014, pp. 103-132.
[3] B. Shneiderman, C.B.H. Plaisant, “Improving health and healthcare with interactive visualization methods,†IEEE Computer Special Issue on Challenges in Information Visualization, 1–13, 2013.
[4] C. Görg, J. Kihm, J. Choo, Z. Liu, S. Muthiah, H. Park, and J. Stasko, “Combining Computational Analyses and Interactive Visualization to Enhance Information Retrievalâ€, 2013.
[5] Sridhar KP, Baskar S, Shakeel PM, Dhulipala VS., “Developing brain abnormality recognize system using multi-objective pattern producing neural networkâ€, Journal of Ambient Intelligence and Humanized Computing, 2018:1-9. https://doi.org/10.1007/s12652-018-1058-y
[6] D. Milam, L. Bartram, and M. Seif El-Nasr, “ Investigation of Expertise and Visual Balance in a Railed-Shooter game,â€2012.
[7] D.A. Keim, J.Kohlhammer, G.Ellis, and F. Mansmann. Mastering the Information Age – Solving Problems with Visual Analytics. Eurographics Association, 2010.
[8] Deloitte. Visual analytics: revealing corruption, fraud, waste, and abuse. http://www.slideshare.net/DeloitteForensicCenter/visualanalytics-revealing-corruption-fraud-waste-and-abuse-13958016?related=1,
[9] E. Bertini, and D. Lalanne, “Investigating and Reflecting on the Integration of Automatic Data Analysis and Visualization in Knowledge Discoveryâ€, 2010.
[10] MuhammedShafi. P,Selvakumar.S*, Mohamed Shakeel.P, “An Efficient Optimal Fuzzy C Means (OFCM) Algorithm with Particle Swarm Optimization (PSO) To Analyze and Predict Crime Dataâ€, Journal of Advanced Research in Dynamic and Control Systems, Issue: 06,2018, Pages: 699-707
[11] F. Sikder, “ Predicting Students Yearly Performance using Neural Network : A Case Study of BSMRSTU, 524–529, 2016.
[12] N. Buniyamin, P.M. Arsad, and R. Kassim, “Improve Students ’ Achievement : A Proposed Proactive Intelligent Interventionâ€, 126–130, 2013.
[13] F. Saeed, and A. Dixit, “A Decision Support System Approach for Accreditation & Quality Assurance Council at Higher Education Institutions in Yemenâ€, 163–168, 2015.
[14] H.M.D. Eranjith, I.D. Fernando, G.K.S. Fernando, W.C.M. Soysa, and V.S.D. Jayasena, “A Visualization and Analysis Platform for Performance Tuning,†72–77, 2016
[15] H. Hu, Y. Wen, T.S. Chua, and X. Li, “ Toward Scalable Systems for Big Data Analytics: A Technology Tutorial,†IEEE Access,2, 652-687. http://doi.org/10.1109, 2014
- Kouatli, , “Student Advising Decision to predict student ’ s Future GPA based on Genetic Fuzzimetric Technique ( GFT )â€, 2015
[16] I.D. Muraina and H.H. Ibrahim, “ Student ’ s Perception to Learning of Innovative Skills through Multi- Dimensional Visualization System : Reliability and Validity Tests of some Measurements,â€(August), 29–30, 2016.
[17] J. Mendel, and J. Yeager, “Knowledge Visualization in Design Practice: Exploring the power of knowledge visualization in problem solving,†2010.
[18] J. Iivari, “ A Paradigmatic Analysis of Information Systems as a Design Scienceâ€, Scandinavian Journal of Information Systems, 19(2), 2007,pp. 39-64.
[19] L.E. Mnguni, “ The theoretical cognitive process of visualization for science education,†SpringerPlus, 3(1), 184. https://doi.org/10.1186/2193-1801-3-184, 2014.
[20] M.H. Deniz, and S.K. Geyik, “An Empirical Research on General Internet Usage Patterns of Undergraduate Students,â€Procedia - Social and Behavioral Sciences, 195, 895–904. http://doi.org/10.1016/j.sbspro.2015.06.369, 2015
[21] M. Staron, K. Niesel, and W. Meding, “ Selecting the Right Visualization of Indicators and Measures - Dashboard Selection Model,â€, 2015.
[22] M.I. Laguna, Estudio sobre el uso de Internet y sus aplicaciones en el alumnado de último a~no de carrera de la Universidad de Alicante [Study on the use of Internet and its applications in final-year students at the University of Ali- cante](Doctoral Thesis, University of Alicante, Alicante, Spain). Retrived from http://rua.ua.es/dspace/handle/10045/35701, 2013.
[23] Shakeel PM, Baskar S, Dhulipala VS, Mishra S, Jaber MM., “Maintaining security and privacy in health care system using learning based Deep-Q-Networksâ€, Journal of medical systems, 2018 Oct 1;42(10):186.https://doi.org/10.1007/s10916-018-1045-z
[24] Okon E. Ani, (2010) "Internet access and use: A study of undergraduate students in three Nigerian universities", The Electronic Library, Vol. 28 Iss: 4, pp.555 – 567.
[25] O. Kumar, and A. Goyal, “ Visualization: A Novel Approach for Big Data Analytics,†2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 121–124. https://doi.org/10.1109/CICT.2016.32, 2016
[26] P.I. Cerretani,E.B. Iturrioz, and P.B. Garay “ Use of information and communications technology, academic performance and psychosocial distress in university students,†Computers in Human Behavior, 56, 119–126. http://doi.org/10.1016/j.chb.2015.11.026, 2016
[27] P.B. Goes, “Design Science Research in Top Information System Journalsâ€, Management Information System Quarterly, 38 (1), 2014,pp iii-viii.
[28] R. Heldal, P. Pelliccione,U. Eliasson, J. Lantz, J. Derehag, J., and J. Whittle, “Descriptive vs Prescriptive Models in Industry,â€2016.
[29] P.M. Ogedebe, “Internet usage and students’ academic performance in Nigeria tertiary institutions: a case study of University of Maiduguri.,â€Academic Research International, 2(3), 334–343, 2012.
[30] R.J. Oskouei, M. Askari, P. Rajendra, and P. Sajja, “Perceived Internet Usage Behaviours as Predictor to Outlier Detection in Students’ Communities in Academic Environments,â€2013.
[31] S. Seidel, and R.T. Watson, “Improving the Societal Effectiveness of Is Research: The Pursuit of Prescriptive Accuracyâ€, Available at SSRN 2477917, 2014.
[32] S. Gregor, and A.R. Hevenr, “ Positioning and Presenting Design Science Research for Maximum Impact’, MIS Quarterly, 37(2), 2013, pp.336-355.
[33] Baskar, S., & Dhulipala, V. R., “Biomedical Rehabilitation: Data Error Detection and Correction Using Two Dimensional Linear Feedback Shift Register Based Cyclic Redundancy Checkâ€, Journal of Medical Imaging and Health Informatics, 2018, 8(4), 805-808.
[34] Shakeel PM, Baskar S, Dhulipala VS, Jaber MM., “Cloud based framework for diagnosis of diabetes mellitus using K-means clusteringâ€, Health information science and systems, 2018 Dec 1;6(1):16.https://doi.org/10.1007/s13755-018-0054-0
[35] T. Mishra, K. Kumar, and S. Gupta, “Mining students’ data for prediction performance,†International Conference on Advanced Computing and Communication Technologies, ACCT, 255–262. https://doi.org/10.1109/ACCT.2014.105, 2014.
[36] T. N. Nguyen, P. Haddawy, P. Janecek, "A comparative analysis of techniques for predicting academic performance", vol. 00, no. , pp. T2G-7-T2G-12, 2007, doi:10.1109/FIE.2007.4417993
[37] T.M. Green, W.Ribarsky, and B.Fisher. Building and applying a human cognition model for visual analytics. Information Visualization, 8(1):1-13,Jan.2009.
[38] T. Taghavi, and A.D. Pimentel, “Design Metrics and Visualization Techniques for Analyzing the Performance of MOEAs in DSE,†67–76, 2016.
[39] Tableau Software. Data visualization software: what business intelligence software should have been. http://www.tableausoftware.com/data-visualization-software-old,
[40] W. S. Cleveland, Visualizing Data. Hobart Press, Summit, New Jersey,1993.
[41] X. Wu, “Performance Evaluation, Prediction and Visualization of Parallel Systems,†Retrieved from https://books.google.com.my/books, 2012.
[42] Y. Kurniawan, and E. Halim, “Use Data Warehouse and Data Mining to Predict Student Academic Performance in Schools : A Case Study ( Perspective Application and Benefits ),†(August), 98–103, 2013
[43] D. Sacha, A. Stoffel, F. Stoffel, B.C. Kwon, G. Ellis, and D.A. Keim, “Knowledge Generation Model for Visual Analyticsâ€, 2014.
[44] E. Bologna, A. Maccagno, C. Somazzi, A. Oehlenschager, and N. Esbry, “Characteristic of university students’ Internet use. The case of the Retrieved from http://www. oei.es/congreso2014/memoriactei/751.pdf, 2014.
[45] Selvakumar S, Inbarani H, Shakeel PM. A Hybrid Personalized Tag Recommendations for Social E-Learning System. International Journal of Control Theory and Applications. 2016;9(2):1187-99.
[46] S.B. Ellore, S. Niranjan, and U. Brown, “ The Influence of Internet Usage on Academic Performance and Face-to-Face Communication,†Journal of Psychology and Behavioral Science, 2(2), 163–186, 2014
[47] S. Bresciani, and M.J. Eppler, “ The risks of visualization: A classification of disadvantages associated with graphic representations of information,†ICA Working Paper, 2008.
[48] S. Simmons, R. Mccrindle, M. Sperrin, and A. Smith, “Prescription Software for Recovery and Rehabilitation Using Microsoft Kinect, 323–326, 2013.
-
Downloads
-
How to Cite
Khamis, S., Haji Ahmad, A., & D. Muraina, I. (2018). Knowledge Visualization of Students’ Performances: Antecedent of Knowledge Generation Model and Decision Making Model. International Journal of Engineering & Technology, 7(3.20), 817-821. https://doi.org/10.14419/ijet.v7i3.20.27346Received date: 2019-02-12
Accepted date: 2019-02-12