Why 100 DAYS OF... Data for Learning?
The 100 DAYS OF... Data for Learning' is an initiative to collaboratively explore the use of data in engineering education. Through a series of events, activities and interactive sessions, we aim to create awareness about the possibilities and restraints of data in teaching and learning, and to highlight cooperations amongst organisational units involved in educational innovations in this context.
This page
Here you find the agenda of upcoming activities. It is also where we will share stories, readings/publications, and summaries of activities that are relevant to our exploration.
Make sure you bookmark it to keep a close eye and not miss out on anything!
Get involved!
Do you have any questions, projects, findings, practices or other ideas to share related to data for learning? For example, data science in education, learning analytics, learning dashboard, or other topics.
Your contribution is of great value to this initiative. Please email us at teachingacademy@tudelft.nl.
Alos, please make sure to check out the Miro board of the 100 DAYS OF... Data for Learning. Here you can find the timeline of activities, including interactive notes recapping what has been discussed at each event.
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The '100 DAYS OF...' is an initiative organised by 4TU.CEE, LDE-CEL, TU Delft Teaching & Learning Services, TU Delft Extension School, and the TU Delft Teaching Academy. In the upcoming 100 days various events will be organised to collaboratively explore Data for Learning in engineering education - similarly like we did last year in relation to reflection.The result of the '100 DAYS OF…' will be a 't.b.d. artefact', showcasing lessons learned, considerations, research and ways to go forward for lecturers, coordinators, and education management.
Journal Club notes - 100 DAYS OF... Data for Learning
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During the Journal Club meeting of 17 January 2023, we came together to discuss the article 'Privacy and analytics: it's a DELICATE issue a checklist for trusted learning analytics'. Have a look at the visual summary of our discussion by clicking the image below.
Drachsler, H., & Greller, W. (2016, April). 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 (pp. 89-98). Read here.
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During the Journal Club meeting of 29 November, we came together to discuss the article 'The current landscape of learning analytics in higher education'. Have a look at the visual summary of our discussion by clicking the image below.
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in human behavior, 89, 98-110. Read here.
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During the Journal Club meeting of 27 Septmber, we came together to discuss the article 'Machine behaviourism: Future visions of ‘learnification’and ‘datafication’across humans and digital technologies.'
Have a look at the visual summary of our discussion by clicking the image below.Knox, J., Williamson, B., & Bayne, S. (2020). Machine behaviourism: Future visions of ‘learnification’and ‘datafication’across humans and digital technologies. Learning, Media and Technology, 45(1), 31-45.
Read here.
100 DAYS OF... Data for Learning
Organized by:
> 4TU.Centre for Engineering Education (4TU.CEE),
> Leiden-Delft-Erasmus Centre for Education and Learning (LDE-CEL),
> TU Delft Teaching and Learning Services (TLS),
> TU Delft Extension School
> TU Delft Teaching Academy
