Designing and Validating a Model for Databases in Open and Distance Universities

Document Type : Original Article

Authors

1 PhD Student in Distance Education Planning, Faculty of Education, Graduate School, Payam-e-Noor University, Tehran, Iran

2 Department of Educational Sciences, Faculty of Education, Payam-e-Noor University, Tehran, Iran

Abstract

Background: Humans have always needed to store and retrieve information. In the last decades, one of the most important phenomena in the information industry was the emergence and popularity of machine reader databases, especially online databases. The main purpose of this study was to design and validate a model for databases in open and distance universities. Methods: This research is a descriptive study conducted by survey method. The statistical population of the present study consists of all specialists in the field of studying databases and open and distance educational universities. In a small part, sampling was done by a census method and in a purposeful manner. The responses were analyzed using descriptive and inferential statistics and by SPSS and Lisrel software. For the purpose of examining the parametric deflections, the Kolmogorov–Smirnov test was used to check the normality of the data. The Levene’s test was used to examine the default of variances and obtain the inferential part of factor analysis. The current research was carried out in 2 qualitative and quantitative phases. In the qualitative phase, some of the distance education scholars and database experts were selected as a purposive sample to analyze the basic parameters obtained in the first phase. In the quantitative phase, sampling was done through census and purposive manner from professors’ at the University of Isfahan (N=211). 22 questionnaires were excluded due to reasons such as non-functional responses, and statisctical analysis was carried out for 189 participants. To measure content validity index (CVI), Waltz and Bausell index was utilized and the instrument under investigation was presented to 8 experts who were engaged in the content validity stage. Results: The results of the research showed that databases in open and distance universities in Iran have high quality and quantity regarding the search and search features and the technical aspects. Conclusion: Based on this research a major issue of concern is to find a framework and model which can be used by executives and managers from distant backgrounds to evaluate the quality of their existing databases.

Keywords

References

Bates AWT. Teaching in a digital age: Guidelines for designing teaching and learning for a digital age: Tony Bates associates. University of British Columbia: BCcampus; 2015. https://doi.org/10.14288/1.0107914
Douglass BG, Moustakas C. Heuristic inquiry. J Hum Psychol.‌2016;25(3):39-55. doi: 10.1177/0022167885253004. https://doi.org/10.1177/0022167885253004
Bergamaschi S, Guerra F, Interlandi M, Trillo-Lado R, Velegrakis Y. Combining user and database perspective for solving keyword queries over relational databases. Information Systems. 2016 Jan 1;55:1-9. https://doi.org/10.1016/j.is.2015.07.005 https://doi.org/10.1016/j.is.2015.07.005
Magdalena N I. (PSBS) The use of distributed databases in e-learning systems, 2011 December, Volume 15, 2673-2677. DOI: 10.1016/j.sbspro.2011.04.168 https://doi.org/10.1016/j.sbspro.2011.04.168
Mbabu GL, Bertram A, Varnum K. (TJAL). Patterns of Undergraduates' Use of Scholarly Databases in a Large Research University. 2013 March; 39 (2): 189-193 https://doi.org/10.1016/j.acalib.2012.10.004 https://doi.org/10.1016/j.acalib.2012.10.004
Sohrabi Safa N, Von Solms R, Furnell S. Computers & Security. Information security policy compliance model in organizations. 2016 February; 56(1): 70-82. https://doi.org/10.1016/j.cose.2015.10.006 https://doi.org/10.1016/j.cose.2015.10.006
Ebben M, Murphy JS. Unpacking MOOC scholarly discourse: A review of nascent MOOC scholarship. Learn Media Technol. 2014;39(3):328-45. doi: 10.1080/17439884.2013.878352. https://doi.org/10.1080/17439884.2013.878352
Liyanagunawardena TR, Adams AA, Williams SA. MOOCs: A systematic study of the published literature 2008-2012. Int Rev Res Open Dis Learn. ‌2013;14(3):202. doi: 10.19173/irrodl.v14i3.1455. https://doi.org/10.19173/irrodl.v14i3.1455
Gore H. Massive open online courses (MOOCs) and their impact on academic library services: Exploring the issues and challenges. New Rev Academic Librarian. 2014;20(1):4-28. doi:10.1080/13614533.2013.851609. https://doi.org/10.1080/13614533.2013.851609
Ommati E, Alipour A. (JMMIS). Important elements in the design of user interface, usability and technical issues of databases during the years 2014 -2016. 2016; 2 (2) :59-72 URL: http://jmis.hums.ac.ir/article-1-86-fa.html       
Jia B, Raphenya AR, Alcock B, Waglechner N, Guo P, Tsang KK, Lago BA, Dave BM, Pereira S, Sharma AN, Doshi S. CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic acids research. 2016 Oct 25: https://doi.org/10.1093/nar/gkw1004
Mojtabazadeh M, Abbaspour A, Maleki H, Farasatkhah M, Rahimian H. (Educ Strategy Med Sci). Designing and validation of a scale to assess the quality of universities in Iran. 2016; 9 (1) :42-62 URL: http://edcbmj.ir/article-1-955-fa.html
Wright F. What do librarians need to know about MOOCs? D-Lib Magazine. 2013;19(3/4). https://doi.org/10.1045/march2013-wright
Bolchini C, Quintarelli E, Tanca L. CARVE: Context-aware automatic view definition over relational databases. Information Systems. 2013 Mar 1;38(1):45-67. https://doi.org/10.1016/j.is.2012.05.004
Biasini M, Bienert S, Waterhouse A, Arnold K, Studer G, Schmidt T, Kiefer F, Cassarino TG, Bertoni M, Bordoli L, Schwede T. SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic acids research. 2014 Apr 29;42(W1):W252-8. https://doi.org/10.1093/nar/gku340
Fariborzi, E., & Bakar, K. bt A. Factors influencing the effectiveness of courses in Iranian university e-learning centers. The International Journal of Technology, Knowledge and Society. 2010. 6(1), 72-80. https://doi.org/10.18848/1832-3669/CGP/v06i01/56057
Van Horn JD. Databases, Brain Mapping, Volume 1, 2015. https://doi.org/10.1016/B978-0-12-397025-1.00351-1
Cristiana Bolchini, Elisa Quintarelli, Letizia Tanca (2013). CARVE: Context-aware automatic view definition over relational databases. Information Systems, Volume 38, Issue 1. https://doi.org/10.1016/j.is.2012.05.004
Simpson O. Supporting students in online, open and distance learning. Routledge; 2018 Oct 24. https://doi.org/10.4324/9780203417003
Raffaghelli JE, Cucchiara S, Persico D. Methodological approaches in MOOC research: Retracing the myth of Proteus. Brit J Educ Technol. 2015;46(3):488-509. doi: 10.1111/bjet.12279. https://doi.org/10.1111/bjet.12279
Interdisciplinary Journal of Virtual Learning in Medical Sciences
Volume 10, Issue 4
December 2019
Pages 28-39

Files

Share

How to cite

Statistics