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10.3280/exioa0-2021oa11130

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Unstructured Zitierung

Christensen, C.M., & Horn, M.B. (2013). How disruption can help colleges thrive. The Chronicle of Higher Education, 60(5), B30.


Unstructured Zitierung

Dohaney, J., De Roiste, M., Salmon, R.A., & Sutherland, K. (2020). Benefits, barriers, and incentives for improved resilience to disruption in university teaching. International of Disaster Risk Reduction, 50(101691), 1-9.

https://doi.org/10.1016/j.ijdrr.2020.101691


Unstructured Zitierung

Fei, M., & Yeung, D.Y. (2015). Temporal models for predicting student dropout in massive open online courses. In 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 256-263). IEEE.

https://doi.org/10.1109/ICDMW.2015.174


Unstructured Zitierung

Gui, M. (2019). Il digitale a scuola. Rivoluzione o abbaglio? (pp. 1-248). Bologna: il Mulino.


Unstructured Zitierung

Harden, R.M., & Lilley, P. (2018). The eight roles of the medical teacher. Amsterdam: Elsevier Limited.


Unstructured Zitierung

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review, 27. Recuperato da: https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning (30.12.20).


Unstructured Zitierung

Laurillard, D. (2013). Teaching as a design science: Building pedagogical patterns for learning and technology. London: Routledge.

https://doi.org/10.4324/9780203125083


Unstructured Zitierung

Limone, P., Dipace, A., & Martiniello, L. (2016). Insegnanti e media digitali. Fattori socio-cognitivi e motivazionali che riducono le resistenze all’innovazione. Pedagogia oggi, 2(2016), 248-257.


Unstructured Zitierung

Miller, G., Benke, M., Chaloux, B., Ragan, L.C., Schroeder, R., Smutz, W., & Swan, K. (2014). Leading the e-learning transformation of Higher Education: Meetingthe challenges of technology and distance education. Sterling, VA: Stylus Publishing.


Unstructured Zitierung

Moreno-Marcos, P.M., Muñoz-Merino, P.J., Maldonado-Mahauad, J., Pérez-Sanagustín, M., Alario-Hoyos, C., & Kloos, C.D. (2020). Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs. Computers & Education, 145(103728), 1-15.

https://doi.org/10.1016/j.compedu.2019.103728


Unstructured Zitierung

Nikendei, C., Ben-David, M. F., Mennin, S., & Huwendiek, S. (2016). Medical educators: How they define themselves–Results of an international web survey. Medical teacher, 38(7), 715-723.

https://doi.org/10.3109/0142159X.2015.1073236


Unstructured Zitierung

Salmon, G. (2014). Learning innovation: A framework for transformation. European Journal of Open, Distance and E-learning, 17(2), 220-236.

https://doi.org/10.2478/eurodl-2014-0031


Unstructured Zitierung

Scarinci, A., & Dipace, A. (2019). Formazione pedagogica per l’insegnamento: il nuovo profilo professionale del docente universitario. In A. Dipace, V. Tamborra (a cura di). Insegnare in Università. Metodi e strumenti per una didattica efficace (p. 19-36). Milano: FrancoAngeli.


Unstructured Zitierung

Xing, W., Chen, X., Stein, J., & Marcinkowski, M. (2016). Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization. Computers in human behaviour, 58, 119-129.

https://doi.org/10.1016/j.chb.2015.12.007