22.06.2021 Views

(SpringerBriefs in Business Process Management) Learning Analytics Cookbook_ How to Support Learning Processes Through Data Analytics and Visualizatio

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

14 2 Learning Analytics Kitchen

Berg, A., Scheffel, M., Drachsler, H., Ternier, S., & Specht, M. (2016). Dutch cooking with xAPI

recipes: The good, the bad, and the consistent. In 2016 IEEE 16th international conference on

advanced learning technologies (ICALT) (pp. 234–236). Austin, TX: IEEE.

Buckingham Shum, S. (2012). Learning analytics. UNESCO IITE policy brief. Retrieved from

http://iite.unesco.org/files/policy_briefs/pdf/en/learning_analytics.pdf

Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012). A reference model for learning

analytics. International Journal of Technology Enhanced Learning, 4(5-6), 318–331.

d’Aquin, M., Dietze, S., Herder, E., Drachsler, H., & Taibi, D. (2014). Using linked data in learning

analytics. eLearning papers, 36. Retrieved from http://www.openeducationeuropa.eu/en/down

load/file/fid/33993

Drachsler, H., & Greller, W. (2016). Privacy and analytics: It’s a DELICATE issue a checklist for

trusted learning analytics. In Proceedings of the sixth international conference on learning

analytics & knowledge (LAK ’16) (pp. 89–98). New York: ACM.

Drachsler, H., Verbert, K., Santos, O. C., & Manouselis, N. (2015). Panorama of recommender

systems to support learning. In F. Rici, L. Rokach, & B. Shapira (Eds.), 2nd handbook on

recommender systems (pp. 421–451). New York: Springer.

Fazeli, S., Loni, B., Drachsler, H., & Sloep, P. (2014). Which recommender system can best fit

social learning platforms? In 9th European conference on technology enhanced learning

(EC-TEL 2014) (pp. 84–97). Graz, Austria: Springer.

Greller, W., & Drachsler, H. (2012). Translating learning into numbers: A generic framework for

learning analytics. Educational Technology & Society, 15, 42–57.

Kramer, A. D., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale

emotional contagion through social networks. Proceedings of the National Academy of Sciences,

111(24), 8788–8790.

Nistor, N., Derntl, M., & Klamma, R. (2015). Learning analytics: Trends and issues of the empirical

research of the years 2011-2014. In Proceedings of the 10th European conference on technology

enhanced learning (pp. 453–459). Toledo, Spain: Springer.

Open University UK. (2014). Policy on ethical use of student data for learning analytics. Retrieved

from http://www.open.ac.uk/students/charter/sites/www.open.ac.uk.students.charter/files/files/

ecms/web-content/ethical-student-data-faq.pdf

Papamitsiou, Z. K., Terzis, V., & Economides, A. A. (2014). Temporal learning analytics for

computer based testing. In Proceedings of the fourth international conference on learning

analytics and knowledge (pp. 31–35). Indianapolis: ACM.

Scheffel, M., Drachsler, H., Stoyanov, S., & Specht, M. (2014). Quality indicators for learning

analytics. Journal of Educational Technology & Society, 17(4), 117.

Scheffel, M., Drachsler, H., de Kraker, J., Kreijns, K., Slootmaker, A., & Specht, M. (2017a).

Widget, widget on the wall, am I performing well at all? IEEE Transactions on Learning

Technologies, 10(1), 42–52.

Scheffel, M., Drachsler, H., Toisoul, C., Ternier, S., & Specht, M. (2017b). The proof of the pudding:

Examining validity and reliability of the evaluation framework for learning analytics. In European

conference on technology enhanced learning (pp. 194–208). Berlin, Germany: Springer.

Siemens, G., Dawson, S., & Lynch, G. (2013). Improving the quality and productivity of the higher

education sector – policy and strategy for systems-level deployment of learning analytics.

Sydney, Australia. Retrieved from http://solaresearch.org/Policy_Strategy_Analytics.pdf

Sin, K., & Muthu, L. (2015). Application of big data in education data mining and learning

analytics: A literature review. ICTACT Journal on Soft Computing, 5(4), 1035–1049.

Singer, N. (2014, April 21). InBloom student data repository to close. New York Times. Retrieved

from https://bits.blogs.nytimes.com/2014/04/21/inbloom-student-data-repository-to-close/

Tsai, Y. S., Moreno-Marcos, P. M., Tammets, K., Kollom, K., & Gašević, D. (2018). SHEILA

policy framework: Informing institutional strategies and policy processes of learning analytics.

In Proceedings of the 8th international conference on learning analytics and knowledge

(pp. 320–329). Sydney, Australia: ACM.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!