Video-based learning ecosystem to support active learning: application to an introductory computer science course
Tóm tắt
The systematic use of technologies in order to orchestrate learning has become widely used in the past years. Diverse technologies have been applied in a variety of teaching practices; for instance learning tools which allow you to flip the classroom or monitor other active learning practices. However, the developed systems are only a subset of different kinds of learning materials and learning tools that an educator should take into consideration; and most importantly they do not offer an overview of the different learning dynamics. The development of a learning ecosystem framework, which will allow us to describe “the complex of living organisms” as well as their interrelationships, will help us to better understand and further develop our teaching approaches. In this paper, we present a video-based learning ecosystem framework and the first captured results of its application in an introductory computer science course. The framework incorporates basic e-learning tools and traditional learning practices, making it accessible to anyone wanting to implement a video-assisted project-based experience in his/her course. Its application is based on open and easy-to-use tools, allowing for the incorporation of any additional functionalities. This work aims to provide insights for other scholars and practitioners to further validate, examine, and extend the proposed framework. This approach can be used for those interested in incorporating project-based or flipped classroom approaches in their teaching, since it is a flexible procedure that may be adapted to meet their needs.
Tài liệu tham khảo
T. Anderson, Modes of interaction in distance education: Recent developments and research questions. Handbook of distance education, 129–144 (2003)
R.M. Bernard, P.C. Abrami, E. Borokhovski, C.A. Wade, R.M. Tamim, M.A. Surkes, E.C. Bethel, A meta-analysis of three types of interaction treatments in distance education. Rev Educ Res 79(3), 1243–1289 (2009)
J.L. Bishop, M.A. Verleger, The flipped classroom: A survey of the research. In ASEE National Conference Proceedings, (Atlanta, GA, 2013)
D.A. Bligh, What’s the Use of Lectures? (Jossey-Bass, San Francisco, 2000)
C.C. Bonwell, J.A. Eison, Active Learning: Creating Excitement in the Classroom. 1991 ASHE-ERIC Higher Education Reports. ERIC Clearinghouse on Higher Education, The George Washington University, One Dupont Circle, Suite 630, Washington, DC 20036–1183 (1991)
V. Chang, C. Guetl, E-learning ecosystem (eles)-a holistic approach for the development of more effective learning environment for small-and-medium sized enterprises (smes), in Digital Ecosystems and Technologies Conference (IEEE Press, New York, 2007), pp. 420–425
Encyclopedia Britannica, Ecosystem, Encyclopedia Britannica, Inc. last retrieved Jan. 21st, 2015. (2011), http://www.britannica.com/EBchecked/topic/178597/ecosystem. Accessed 2 July 2016
S. Freeman, S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, M.P. Wenderoth, Active learning increases student performance in science, engineering, and mathematics. Proc Natl Acad Sci 111(23), 8410–8415 (2014)
M.N. Giannakos, K. Chorianopoulos, N. Chrisochoides, Making sense of video analytics: Lessons learned from clickstream interactions, attitudes, and learning outcome in a video-assisted course. Int Rev Res Open Distributed Learn 16(1), 260–283 (2015)
M.N. Giannakos, J. Krogstie, T. Aalberg, Toward a Learning Ecosystem to Support Flipped Classroom: A Conceptual Framework and Early Results. State-of-the-Art and Future Directions of Smart Learning (pp. 105–114) (Springer, Singapore, 2016)
P. Jermann, Technology for classroom orchestration. New science of learning (pp. 525–552) (Springer, New York, 2010)
A. Kleftodimos, G. Evangelidis, Exploring Student Viewing Behaviors in Online Educational Videos, 14th International Conference on Advanced Learning Technologies (ICALT), 367–369. (2014) doi 10.1109/ICALT.2014.109
L.F. Kwok, A vision for the development of i-campus. Smart Learn Environ 2, 1–12 (2015)
B.-C. Lee, J.-O. Yoon, I. Lee, Learners’ acceptance of e-learning in South Korea: theories and results. Comput Educ 53(4), 1–44 (2009)
E.W.T. Ngai, J.K.L. Poon, Y.H. Chan, Empirical examination of the adoption of WebCT using TAM. Comput Educ 48(2), 250–267 (2007)
M. Prince, Does active learning work? A review of the research. J Eng Educ 93, 223–232 (2004)
J. A. Ruipérez-Valiente, P. J. Muñoz-Merino, C. D. Kloos, An architecture for extending the learning analytics support in the Khan Academy framework. In: Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality (TEEM '13), Francisco José García-Peñalvo (Ed.) (ACM Press, New York, USA, 2013), pp. 277–284. http://dx.doi.org/10.1145/2536536.2536578
S.B. Shum, R. Ferguson, Social Learning Analytics. Educ Technol Soc 15(3), 3–26 (2012)
G. Siemens, Learning Ecology, Communities, and Networks - Extending the classroom, elearnspace, last retrieved Jan. 21st, 2015 (2003), http://www.elearnspace.org/Articles/learning_communities.htm. Accessed 2 July 2016
A.I. Wang, The wear out effect of a game-based student response system. Comput Educ 82, 217–227 (2015)
H. Zhang, K. Almeroth, A. Knight, M. Bulger, R. Mayer, Moodog: Tracking Students’ Online Learning Activities. J Interact Learn Res 21(3), 407–429 (2010)