شناسایی شاخص‌های اثرگذار در طراحی سامانه موبایل موک برای آموزش مجازی کارکنان: یک مطالعه کیفی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت آموزشی

2 عضو هیئت علمی/دانشگاه شهید بهشتی

3 دانشکده علوم تربیتی دانشگاه شهید بهشتی

4 دانشیار، گروه رهبری و توسعه آموزشی، دانشگاه شهید بهشتی، تهران، ایران

چکیده

هدف پژوهش حاضر شناسایی شاخص‌های اثزگذار طراحی سامانه موبایل موک جهت آموزش مجازی کارکنان بود. از پایگاه ­های علمی پروکوییست، گوگل اِسکالِر، ساینِس دایرکت، ِامرالد ، ِاسکوپوس و ِاسپرینگر تعداد 28 مقاله انتخاب شد و  با روش مقایسه مستمر  و تحلیل محتوای کیفی  به منظور استخراج نظامند یافته‌های متون پیشین تحلیل شدند. از درون متن مقالات و از طریق فرایند کدگذاری باز، کدگذاری محوری و کدگذاری انتخابی 27 مفهوم و 4 مقوله اصلی(شاخص) استخراج شد. یافته­ها  نشان دادند که در طرّاحی موبایل موک باید به مقوله­های تعامل سیّار، سیستم پشتیبانی آموزشی، پذیرش فنّاوری و سیستم پشتیبانی فنّی توجّه کرد. با توجه به یافته‌های پژوهش ترکیب فرمت موک و یادگیری سیّار پتانسیل زیادی برای یادگیری غیررسمی و مادام العمر دارد و  توصیه می‌شود که کارکنان با تعامل با یکدیگر و یا حتی مطرح شدن آن‌ها به عنوان پژوهشگر و اطلاع آن‌ها از مسائل و دانش روز در جهت تحقق شایستگی حرفه‌ای‌شان از طریق فنّاوری موبایل موک گام موثری بردارند. شناخت شاخص‌های مهم در طراحی فنّاوری نوین موبایل موک در افزایش شایستگی حرفه‌ای و نوآوری سازمانی، از این جهت حائز اهمیت است که می‌توان با هم افزایی متخصّصین در کنار یکدیگر به نفع ارتقای عملکردکارکنان و نوآوری سازمانی سود جُست.

کلیدواژه‌ها


عنوان مقاله [English]

Identifying the Effective Indicators in Designing the MobileMooc System for Virtual Teaching of Employees: A Qualitative Study

نویسندگان [English]

  • nasrin farzan 1
  • gholamreza shams mourkani 2
  • morteza rezaeizade 3
  • mohammad ghahrami 4
1 دانشجوی دکتری مدیریت آموزشی
2 Shahid Beheshti University
3 Assistant Professor, Department of Higher Education, Shahid Beheshti University, Tehran, Iran
4 Associate Professor, Department of Educational Leadership & Development, Shahid Beheshti University, Tehran
چکیده [English]

Abstract
The purpose of this study was to identify the impact indicators in designing MobileMooc system for virtual teaching of employees. Twenty-six papers were selected from ProQuest, Google Scholar, ScienceDirect, Emerald, Scopus and Springer's databases were analyzed using constant comparative and qualitative content analysis to extract the findings of previous studies. As a result, 27 concepts and 4 main categories (indicators) were extracted through content, open coding, axial coding and selective coding. The findings showed that in MobileMooc design, we should focus on the categories of mobile interactions, educational support system, technology acceptance and technical support system. According to research findings, mooc format combination and mobile learning have potential for informal and lifelong learning, and it is recommended that employees through interaction or being as researchers take a step in fulfilling professional competence through MobileMooc technology. Understanding the important indicators in the design of MobileMooc Technology is important in increasing the professional competence and organizational innovation since we can use it through synergy of experts for the benefit of promoting employee performance and organizational innovation.

کلیدواژه‌ها [English]

  • Keywords: Virtual teaching
  • Professional developmental
  • Mooc
  • MobileMooc
  • Mobile learning
Abajian, S., Gallagher, M. S., Hogue, R., Keskin, N., de Waard, I., Koutropoulos, A., & Rodriguez, O. C. (2011). Using mLearning and MOOCs to Understand Chaos , Emergence , and Complexity in Education. International Review of Research in Open and Distance Learning, 12(7), 94–115. Retrieved  from  http://www.irrodl.org/index.php/irrodl/article/view/1046/2032%5Cnhttp://www.irrodl.org/index.php/irrodl/article/view/1046
Ajzen, I.; Fishbein, M (1980), Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall
Alario-Hoyos, C., Estévez-Ayres, I., Sanagustín, M. P., Leony, D., & Kloos, C. D. (2015). MyLearningmentor: A mobile app to support learners participating in MOOCs. Journal of Universal Computer Science, 21(5), 735–753.
Armellini, A., & Padilla-Rodriguez, B. C. (2016). Are Massive Open Online Courses (MOOCs) pedagogically innovative? Journal of Interactive Online Learning (JIOL), 14(1), 17–28.
Bali, M. (2014). MOOC Pedagogy: Gleaning Good Practice from Existing MOOCs. MERLOT Journal of Online Learning and Teaching, 10(1), 44–56. Retrieved from http://jolt.merlot.org/vol10no1/bali_0314.pdf
Benlloch, J. M. P., Cotano, L. U., & Domínguez, J. L. S. (2016, December 7). Developing a MOOC for the learning of mobile app design. 573–578. https://doi.org/10.1145/3012430.3012576
Bralić, A., Ć ukuić, M., & Jadrić, M. (2015). Comparing MOOCs in m-learning and e-learning settings. 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2015 - Proceedings, 979–985. https://doi.org/10.1109/MIPRO.2015.7160417
Bremer, C., & Weiss, D. (2013). How To Analyze Participation in a ( C ) Mooc ? EDULEARN13 Proceedings of the 5th International Conference on Education and New Learning Technologies, (C), 992–1002.
Cardoso, A. P., Ferreira, M., Abrantes, J. L., Seabra, C., & Costa, C. (2011). Personal and pedagogical interaction factors as determinants of academic achievement. Procedia - Social and Behavioral Sciences, 29, 1596–1605. https://doi.org/10.1016/j.sbspro.2011.11.402
Chan, J., Hayes, C., & Daly, E. M. (2004.). Decomposing Discussion Forums and Boards Using User Roles. Retrieved from www.aaai.org
Chuang, I., & Ho, A. (2016). HarvardX and MITx: Four Years of Open Online Courses -- Fall 2012-Summer 2016. Ssrn, (March). https://doi.org/10.2139/ssrn.2889436
Ciussi, M. (2016). Designing a Game-Based Mooc on a Smartphone Application: key challenges. Proceedings of the 10Th European Conference on Games Based Learning, 960–967.
Coetzee, D., Fox, A., Hearst, M. A., & Hartmann, B. (2014, February 25). Chatrooms in MOOCs. 127–136. https://doi.org/10.1145/2556325.2566242
Conole, G. (2015). Designing effective MOOCs. Educational Media International. https://doi.org/10.1080/09523987.2015.1125989
Conole, G. (2016). MOOCs as disruptive technologies: strategies for enhancing the learner experience and quality of MOOCs. Revista de Educación a Distancia (RED), (50). https://doi.org/10.6018/red/50/2
Dalipi, F., Imran, A. S., Idrizi, F., & Aliu, H. (2017). An analysis of learner experience with MOOCS in mobile and desktop learning environment. Advances in Intelligent Systems and Computing, 498, 393–402. https://doi.org/10.1007/978-3-319-42070-7_36
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
De Waard, I. (2013). Analysis The Impact Of Mobile Access On Learner Intentractions In A Mooc .Master's Thesis In Education ,Athabasca University ,Canada.
De Waard, I., Koutropoulos, A., Hogue, R. J., Abajian, S. C., Keskin, N. Ö., Rodriguez, C. O., & Gallagher, M. S. (2013). Merging MOOC and mLearning for Increased Learner Interactions. International Journal of Mobile and Blended Learning, 4(4), 34–46. https://doi.org/10.4018/jmbl.2012100103
Dempsey, M., Halton, C., & Murphy, M. (2001). Reflective learning in social work education: Scaffolding the process. Social Work Education, 20(6), 631–641. https://doi.org/10.1080/02615470120089825
Downes, S. (2008). Places to go: Connectivism & connective knowledge. Innovate: Journal of Online Education, 5(1), 6.
Eastham, L. A. (2011). Research using blogs for data: Public documents or private musings? Research in Nursing and Health, 34(4), 353–361. https://doi.org/10.1002/nur.20443
Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x
Farm, S. M.(2013). The Constant Comparative Analysis Method Outside of Grounded Theory. The Qualitative Report 2013, 18( 1), 1-25,http://www.nova.edu/ssss/QR/QR18/fram1.pdf
Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. New York, NY: Aldine De Gruyter
Green, R. A., Farchione, D., Hughes, D. L., & Chan, S. P. (2014). Participation in asynchronous online discussion forums does improve student learning of gross anatomy. Anatomical Sciences Education, 7(1), 71–76. https://doi.org/10.1002/ase.1376
Hajli, N., Shanmugam, M., Powell, P., & Love, P. E. D. (2015). A study on the continuance participation in on-line communities with social commerce perspective. Technological Forecasting and Social Change, 96, 232–241. https://doi.org/10.1016/j.techfore.2015.03.014
Hew, K. F., & Cheung, W. S. (2014). Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review, Vol. 12, 45–58. https://doi.org/10.1016/j.edurev.2014.05.001
Hu, X.(2015).Mobile MOOC design for vocational education courses. Asia Pac. Educ. 2(20), 114
Jia, J., & Zhang, B. (2018). Design Guidelines for Mobile MOOC Learning—An Empirical Study. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10949 LNCS, 347–356. https://doi.org/10.1007/978-3-319-94505-7_28
Jung, T. H., Ineson, E. M., & Green, E. (2013). Online social networking: Relationship marketingin UK hotels. Journal of Marketing Management, 29(3–4), 393–420. https://doi.org/10.1080/0267257X.2012.732597
Kalyuga, S. (2009). Knowledge elaboration: A cognitive load perspective. Learning and Instruction, 19(5), 402–410. https://doi.org/10.1016/j.learninstruc.2009.02.003
Kamilali, D., & Sofianopoulou, C. (2015). Microlearning as innovative padagogy of mobile learning in MOOCS. 11th International Conference Mobile Learning, 127–131.
Karnouskos, S., & Holmlund, M. (2014). Impact of Massive Open Online Courses (MOOCs) on Employee Competencies and Innovation Blekinge Institute of Technology School of Management Master of Business Administration (MBA).
Kaypak, P. E., Bozna, I. H., & Tu, C.-H. (2017). MOBILE LEARNING AND MOOCs. In International Journal on New Trends in Education and Their. Retrieved from www.ijonte.org
Kellogg, S., Booth, S., & Oliver, K. (2014). A social network perspective on peer supported learning in MOOCs for educators. International Review of Research in Open and Distance Learning, 15(5), 263–289.
Kevan, J. M., Menchaca, M. P., & Hoffman, E. S. (2016). Designing MOOCs for success. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK ’16. https://doi.org/10.1145/2883851.2883941
Kim, J., Guo, P. J., Seaton, D. T., Mitros, P., Gajos, K. Z., & Miller, R. C. (2014). Understanding in-video dropouts and interaction peaks inonline lecture videos. In Proceedings of the first ACM conference on Learning@ scale conference (pp. 31-40). ACM.
Kop, R., Fournier, H., & Mak, J. S. F. (2011). A pedagogy of abundance or a pedagogy to support human beings? Participant support on massive open online courses. International Review of Research in Open and Distance Learning, 12(7 SPECIAL ISSUE), 74–93.
Krause, M., Mogalle, M., Pohl, H., & Williams, J. J. (2015, March 9). A Playful Game Changer. 95–102. https://doi.org/10.1145/2724660.2724665
Mazzolini, M., & Maddison, S. (2003). Analisem o resumo do estudo de Mazzolini , M ., Maddison , S . ( 2003 ). Sage , guide or ghost ? The effect of instructor intervention on student participation in online discussion forums . Computers & Education , Exercício. 40, 1–2.
Mcauley, A. A., Stewart, B., Siemens, G., & Cormier, D. (2010). THE MOOC MODEL FOR DIGITAL PRACTICE : Executive Summary ! Narrative Introductions : ! 1–63.
McLuhan E, & Zingrone F. (1997). Essential McLuhan. London : Routledge,P:278
Moloo, R. K., Prabhakar, T. V., Balaji, V., & Khedo, K. (2017). Successful Delivery of a MOOC Via Basic Mobile Phones: A Case Study of Mobile Learning in India for Increasing Awareness of Science-Based Production Practices Among Semiskilled Horticultural Farmers. https://doi.org/10.1007/978-981-10-6144-8_17
Sun, G., Cui, T., Guo, W., Beydoun, G., & Xu, D. (2015). Micro learning adaptation in MOOC: a software as a service and a personalized learner model. In Computer Science (Vol. 9412). Retrieved from http://ro.uow.edu.au/eispapers/5198
Parsons, D., Hokyoung Ryu, & Cranshaw, M. (2006, August 3). A Study of Design Requirements for Mobile Learning Environments. 96–100. https://doi.org/10.1109/icalt.2006.1652376
Peltier, J. W., Schibrowsky, J. A., & Drago, W. (2007). The interdependence of the factors influencing the perceived quality of the online learning experience: A causal model. Journal of Marketing Education, 29(2), 140–153. https://doi.org/10.1177/0273475307302016
Pertiwi, A.P. (2018). Mooc Advancement From Desktop To Mbile Phone: An Examination of Mobile Learning Practices in Mobile Massive Open Online Course (MOOC). Master’s Thesis in IT & Learning, University of Gothenburg, Gothenburg
Pham, P., & Wang, J. (2016). Adaptive review for mobile MOOC learning via implicit physiological signal sensing. 37–44. https://doi.org/10.1145/2993148.2993197
Pham, P., & Wang, J. (2018). Predicting learners’ emotions in mobile MOOC learning via a multimodal intelligent tutor. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10858 LNCS, 150–159. https://doi.org/10.1007/978-3-319-91464-0_15
Prabhakar, T., Sharwan, S., & Gaurav, S. (2016). Mobi-MOOCs A Simple And Effective Way To Deliver Educational Content. 8th Pan-Commonwealth Forum on Open Learning (PCF8), 8(November), 27–30. Retrieved from http://oasis.col.org/handle/11599/2541
Richter, S. L., & Krishnamurthi, M. (2014). Preparing Faculty for Teaching a MOOC: Recommendations from Research and Experience. International Journal of Information and Education Technology, 4(5), 411–415. https://doi.org/10.7763/ijiet.2014.v4.440
Rodriguez, C. O. (2014). Mobimooc 2012: A new tree structure for the delivery of connectivist moocs. Turkish Online Journal of Distance Education, 15(1), 41–49. https://doi.org/10.17718/tojde.59168
Rohloff, T., Bothe, M., Renz, J., & Meinel, C. (2018). Towards a Better Understanding of Mobile Learning in MOOCs. Proceedings of 2018 Learning With MOOCS, LWMOOCS 2018, (September, 1–4). https://doi.org/10.1109/LWMOOCS.2018.8534685
Rothkrantz, L. (2015). From e-Learning to m-learning: a MOOC case study. Retrieved  from www. https://pdfs.semanticscholar.org/2f84/40b95247d2eab8ddeeea7c0ca0f765223266.pdf
Shen, J. (2015). He held positions at Swinburne University of Technology in Melbourne and University of South Australia in Adelaide before 2006. He is an Associate Professor in School of Computing and Information Technology at University of Wollongong in Wollongong. NSW of Australia.
Strauss, A., & Corbin, J. (1990). Basics of qualitative research, Newbury Park, CA: Sage
Stöhr, C. (2017). Anywhere And Anytime? An Analysis Of The Use Of The Use Mobile Devices In Mooc. INTED2017 Proceedings, 1, 8933–8943. https://doi.org/10.21125/inted.2017.2107
Sun, G., Cui, T., Chen, S., Guo, W., & Shen, J. (2015). MLaaS: A Cloud System for Mobile Micro Learning in MOOC. Proceedings - 2015 IEEE 3rd International Conference on Mobile Services, MS 2015, 120–127. https://doi.org/10.1109/MobServ.2015.26
Sun, G., Cui, T., Yong, J., Shen, J., & Chen, S. (2018). MLaaS: A Cloud-Based System for Delivering Adaptive Micro Learning in Mobile MOOC Learning. IEEE Transactions on Services Computing, 11(2), 292–305. https://doi.org/10.1109/TSC.2015.2473854
Thomas, M. J. (2002). Learning within incoherent structures: The space of online discussion forums. Journal of Computer Assisted Learning, 18(3), 351-366
Wenger, E., Trayner, B., & De Laat, M. (2011). Promoting and assessing value creation in communities and networks: a conceptual framework Rapport 18.
Wong, B. T. (2016). Factors leading to effective teaching of MOOCs. Asian Association of Open Universities Journal. https://doi.org/10.1108/AAOUJ-07-2016-0023
Wong, J. S., Pursel, B., Divinsky, A., & Jansen, B. J. (2015). Analyzing MOOC discussion forum messages to identify cognitive learning information exchanges. Proceedings of the Association for Information Science and Technology, 52(1), 1–10. https://doi.org/10.1002/pra2.2015.145052010023
Xiao, X., & Wang, J. (2016, November 1). Context and cognitive state triggered interventions for mobile MOOC learning. 378–385. https://doi.org/10.1145/2993148.2993177
Zhao, H., & Sullivan, K. P. H. (2017). Teaching presence in computer conferencing learning environments: Effects on interaction, cognition and learning uptake. British Journal of Educational Technology, 48(2), 538–551. https://doi.org/10.1111/bjet.12383
Zhu, J., Li, X., Wang, Z., & Zhang, M. (2017). An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos. Proceedings of the 10th International Conference on Educational Data Mining.Wuhan China )June, 25–28 .( pp:150-159
Zhuo, J., & Jiang, X. (2014). The design of mobile technology systems architecture for MOOC. 11th International Conference on Service Systems and Service Management, ICSSSM 2014 - Proceeding. https://doi.org/10.1109/ICSSSM.2014.6874139