nach oben

Education and Information Technologies

Erschienen in:

24.09.2018

Design of a mobile-based learning management system for incorporating employment demands: Case context of an Australian University

verfasst von: Harpreet Singh, Shah Jahan Miah

Erschienen in: Education and Information Technologies | Ausgabe 2/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Mobile technologies have created enormous opportunities for improving information delivery and dissemination processes among individuals. While studies of the mobile-based technologies in health and businesses have been proliferated, research on mobile applications for education are still at its emergent stage, however, for developing user-centric support to enhance individual’s involvements in learning and teaching purposes. Moreover, formal methods of learning management systems (LMS) for supporting students and academics to achieve industry demands are still yet to be developed for higher education institutes. This study develops and evaluates an innovative mobile-based technology for enhancing current approaches of LMS by linking relevant industry into learning and teaching procedure in a case context of an Australian University. The solution artefact as a model can be viewed as an industry-enabled LMS that captures and processes data from students’ teaching materials, exercises and participation contents in order to develop assistive information which is directly related to the employers’ requirements. Design science method is adopted for designing and evaluating the solution artefact that meets the key requirements of the stakeholders. It is anticipated that the developed artefact would be applicable across Australian higher education sectors for enhancing industry uptake into improving pedagogy of learning.

Vorheriger Artikel A hybrid approach for automatic generation of named entity distractors for multiple choice questions

Nächster Artikel Views of teacher candidates about slowmation: Biology units sample

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Dalsgaard et al. (2009) defined that all LMS approaches are not similar in nature as they serve in different ways of learning management. However, collective design view behind any LMS is on how the e-learning provision is designed and managed in a form of integrated learning system. Different technologies are integrated in a single LMS for providing necessary supports to operate learning and teaching in organisations.

Jepsen and Rodwell (2008) introduced the convergent interviewing as a data collection technique for determining the key issues within a population group rather than a full list of issues in an organization or barriers to change in a particular context of organization.

For this study, ethical approval (HRE17–184) has been gained from the Victoria University’s Human Research Ethics Committee on 13/10/2017 to undertake in-depth interviews

Ahmad, C. N. C., Ching, W. C., Yahaya, A., & Abdullah, M. F. N. L. (2015). Relationship between constructivist learning environments and educational Facility in Science Classrooms. Procedia - Social and Behavioral Sciences, 191, 1952–1957. https://doi.org/10.1016/j.sbspro.2015.04.672.CrossRef

Ajzen, I. (2006). Behavioral interventions based on the theory of planned behavior. Resource URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.613.1749&rep=rep1&type=pdf

Al-Sadi, J., & Abu-Shawar, B. (2009). M-learning: The usage of WAP technology in E-learning. International Journal of Interactive Mobile Technologies, 3(3), 10–16. https://doi.org/10.3991/ijim.v3i3.808.CrossRef

Au, M. H., Liang, K., Liu, J. K., Lu, R., & Ning, J. (2018). Privacy-preserving personal data operation on mobile cloud—Chances and challenges over advanced persistent threat. Future Generation Computer Systems, 79, 337–349.CrossRef

Biggs, D., Hovey, N., Tyson, P. J., & MacDonald, S. (2010). Employer and employment agency attitudes towards employing individuals with mental health needs. Journal of Mental Health, 19(6), 505–516. https://doi.org/10.3109/09638237.2010.507683.CrossRef

Bimrose, J., Brown, A., & Behle, H. (2014). Understanding the link between employers and schools and the role of the National Careers Service. BIS Research Paper Number 206, Department for Business Innovation & Skills, US.

Blanchard, R. O. B., & O'Sullivan, K. (2015). Big data risk and opportunity. Internal Auditor, 72(5), 65–67.

Casany, M. J., Alier, M., Mayol, E., Piguillem, J., Galanis, N., García-Peñalvo, F. J., & Conde, M. Á. (2012). Moodbile: A framework to integrate m-learning applications with the LMS. Journal of Research and Practice in Information Technology, 44(2), 129–149.

Chang, B. R., Lee, Y.-D., & Liao, P.-H. (2017). Development of multiple big data analytics platforms with rapid response. Scientific Programming, 2017, 1–13. https://doi.org/10.1155/2017/6972461.CrossRef

Chen, D. Q., Preston, D. S., & Swink, M. (2015). How the use of big data analytics affects value creation in supply chain management. Journal of Management Information Systems, 32(4), 4–39. https://doi.org/10.1080/07421222.2015.1138364.CrossRef

Chisanu, J., Sumalee, C., Issara, K., & Charuni, S. (2012). Design and develop of constructivist learning environment on learning management system. Procedia - Social and Behavioral Sciences, 46, 3426–3430. https://doi.org/10.1016/j.sbspro.2012.06.078.CrossRef

Dalsgaard, C., Sorensen, E. K., & Mathiasen, H. (2009). E-learning concepts in higher education. Paper presented at the International Conference on E-Learning in the Workplace - ICELW 2009, New York.

Deakin, H., Wakefield, K., & Gregorius, S. (2012). An exploration of peer-to-peer teaching and learning at postgraduate level: The experience of two student-led NVivo workshops. Journal of Geography in Higher Education, 36(4), 603–612. https://doi.org/10.1080/03098265.2012.692074.CrossRef

De Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions. Journal of Environmental Psychology, 42, 128–138.CrossRef

Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007.CrossRef

Green, A., Atfield, G., & Barnes, S.-A. (2015). Employer involvement and engagement: Talent Match case study theme report. In. [Sheffield]: Centre for Regional Economic and Social Research.

Gregor, S., & Hevner, A. R. (2013). Positioning and presenting design science research for maximum impact. MIS Quarterly, 37(2), 337–356.CrossRef

Hary, S., Ahmad Mursyidun, N., Andika Bagus Nur Rahma, P., & Jehad, A. H. H. (2017). Developing an LMS-based cross-platform web application for improving vocational high school students’ competitiveness in ASEAN economic community. Jurnal Pendidikan Sains, 5(3), 72–79. https://doi.org/10.17977/jps.v5i3.9694.CrossRef

Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., . . . Chiroma, H. (2016). The role of big data in smart city. International Journal of Information Management, 36, 748–758. https://doi.org/10.1016/j.ijinfomgt.2016.05.002.CrossRef

Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.CrossRef

Hsu, T.-Y., Kuo, F.-R., Liang, H.-Y., & Lee, M.-F. (2016). A curriculum-based virtual and physical mobile learning model for elementary schools in museums. Electronic Library, 34(6), 997–1012. https://doi.org/10.1108/EL-08-2015-0146.CrossRef

Horn, J.D.V., Fierro, L., Kamdar, J., Gordon, J. Stewart, C., Bhattrai, A., et al. (2018). Democratizing data science through data science training, Biocomputing, 23, 292–303.

Jepsen, D. M., & Rodwell, J. J. (2008). Convergent interviewing: A qualitative diagnostic technique for researchers. Management Research News, 31(9), 650–658.CrossRef

Khan, S., & Yairi, T. (2018). A review on the application of deep learning in system health management. Mechanical Systems and Signal Processing, 107, 241–265.CrossRef

Lefoe, G. (1998). Creating constructivist learning environments on the web: The challenge in higher education. Ascilite, 98, 453.

Lijuan, W., Sau-ching Ha, A., & Xu, W. (2014). Teaching perspectives of Chinese teachers: Compatibility with the goals of the physical education curriculum. Journal of Teaching in Physical Education, 33(2), 213–231.CrossRef

Mahmud, A., Alwi, N. H., & Sulaiman, T. (2014). A qualitative study on the perspective and teaching practice of novice lecturers in a paramedic course. Education in Medicine Journal, 6(1), e45–e49. https://doi.org/10.5959/eimj.v6i1.194.CrossRef

Mann, A., & Percy, C. (2014). Employer engagement in British secondary education: Wage earning outcomes experienced by young adults. Journal of Education and Work, 27(5), 496–523. https://doi.org/10.1080/13639080.2013.769671.CrossRef

March, S. & Smith, G. (1995). Design and natural science research on information technology. Decision Support Systems, 15(4), 251–266.

March, S. T., & Storey, V. C. (2008). Design science in the information systems discipline: An introduction to the special issue on design science research. MIS Quarterly, 32(4), 725–730.CrossRef

McNamara, J. P., Hanigan, M. D., & White, R. R. (2016). Invited review: Experimental design, data reporting, and sharing in support of animal systems modeling research1. Journal of Dairy Science, 99, 9355–9371. https://doi.org/10.3168/jds.2015-10303.CrossRef

Miah, S. J. (2008). An ontology based design environment for rural decision support, Unpublished PhD Thesis. Brisbane, Australia: Griffith University

Miah, S. J. (2010). A new semantic knowledge sharing approach for e-government systems. Paper presented at the 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST), IEEE Digital Library, 457–462

Miah, S. J., McGrath, G. M. & Kerr, D. (2016). Design science research for decision support systems development: recent publication trends in the premier IS journals. Australasian Journal of Information Systems, 20, 1–14.

Nichols, M. (2016). A comparison of two online learning systems. Journal of Open, Flexible & Distance Learning, 20(1), 19–32.

Nunamaker Jr, J. F., Chen, M., & Purdin, T. D. M. (1990). Systems development in information systems research. Journal of Management Information Systems, 7(3), 89-–106.

OECD (2005) OECD Economic Globalisation Indicators, OECD HANDBOOK, OECD, Paris. https://www.oecd.org/sti/ind/34964971.pdf. Accessed 23 Aug 2018.

Peffers, K. E. N., Tuunanen, T., Rothenberger, M.A., & Chatterjee, S. (2008). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77.

Protalinski, E. (2013). Flurry: Android and iOS users spend 32% of their app time playing games, 20% in the browser, 18% in Facebook. Retrieved from https://thenextweb.com/mobile/2013/04/03/flurry-android-and-ios-users-spend-32-of-their-app-time-playing-games-20-in-the-browser-18-in-facebook/.

Rajpaul, K., & Acton, C. (2015). The use of smart technology to deliver efficient and effective pressure-damage education. British Journal of Nursing, 24, S4–S12. https://doi.org/10.12968/bjon.2015.24.Sup20.S4.CrossRef

Sanders, N. R. (2016). How to use big data to drive your supply chain. California Management Review, 58(3), 26–48.CrossRef

Sheng, H., & Trimi, S. (2008). M-government: Technologies, Applications and Challenges. Electronic Government: An International Journal, 5(1), 1–18.

Simões, T. M. C., Rodrigues, J. J. P. C., & de la Torre, I. (2013). Personal learning environment box (PLEBOX): A new approach to E-learning platforms. Computer Applications in Engineering Education, 21, E100–E109. https://doi.org/10.1002/cae.20537.CrossRef

Simon, H. (1996). The Sciences of Artificial, 3rd edn., Cambridge, MA: MIT Press.

Sintef (2013). Big Data, for better or worse: 90% of world's data generated over last two years. Retrieved from www.sciencedaily.com/releases/2013/05/130522085217.htm.

Struhl, S. (2015). Practical Text Analytics : Interpreting Text and Unstructured Data for Business Intelligence: London : Kogan Page, 2015.

Thinnukool, O., Khuwuthyakorn, P., & Wientong, P. (2017). Pharmacy assistant Mobile application (PAMA): Development and reviews. International Journal of Interactive Mobile Technologies, 11(3), 178–194. https://doi.org/10.3991/ijim.v11i3.6757.CrossRef

Vaishnavi, V. K. & Kuechler, W. (2015). Design science research methods and patterns: Innovating information and communication technology, 2nd Edition. London: Chapman and Hall/CRC.

Wei, T. T., Marthandan, G., Chong, A. Y. L., Ooi, K. B., & Arumugam, S. (2009). What drives Malaysian m‐commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370–388.

Xerri, D., & Campbell, C. (2016). E-portfolios in teacher development: The better option? ELT Journal: English Language Teaching Journal, 70(4), 392–400. https://doi.org/10.1093/elt/ccw032.CrossRef

Yu, T. (2011). E-portfolio, a valuable job search tool for college students. Campus-Wide Information Systems, 29(1), X70–X76. https://doi.org/10.1108/10650741211192064.CrossRef

Zhao, B. A. O., & Ping, L. U. O. (2015). How college students' job search self-efficacy and clarity affect job search activities. Social Behavior and Personality: An International Journal, 43(1), 39–51.CrossRef

Zhu, Z.-T., Yu, M.-H., & Riezebos, P. (2016). A research framework of smart education. Smart Learning Environments, 3(1), 4. https://doi.org/10.1186/s40561-016-0026-2.CrossRef

Titel: Design of a mobile-based learning management system for incorporating employment demands: Case context of an Australian University
verfasst von: Harpreet Singh
Shah Jahan Miah
Publikationsdatum: 24.09.2018
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 2/2019
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-018-9816-1

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 2/2019

A blended learning course for playfully teaching programming concepts to school teachers

Views of teacher candidates about slowmation: Biology units sample

High school learners’ continuance intention to use electronic textbooks: A usability study

Digital writing tools from the student perspective

Flipping a college mathematics classroom: An action research project

Creative online collaboration: A special challenge for co-creation