Bachelor Thesis, Master Thesis or Project Study
📌 Key facts
Learning Analytics are the first disruptive innovation in the education sector for 100 years because they promise that people can learn much faster and more at the same time. The student becomes the data source. With performance data gathered at every step of the learning process, teaching can be individualised, tailored to the learning pace of each student and the content adapted to their preference. This is already done (suboptimal?) in MOOCs and there are other innovative approaches like the MINERVA project. We want you to find out what other approaches there are and how effective they are and how their effectiveness could be further increased.
Answer at least one of the following questions:
- Which approaches are there to improve teaching?
- How can teaching be more individualised?
- What technologies support the education of tomorrow?
- Can we reach a 10x learning improvement? Why? Why not?
🦾Who We Are
The Chair for Strategy and Organization is focused on doing research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organizations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership and Teams. We are always early in noticing trends, technologies, strategies and organizations that shape the future, which has its ups and downs.
- Create a research overview for Learning Analytics/ EdTech and transformative technologies for learning
- Create an overview for EdTech Startups
- Evaluate the effectiveness of different Learning Analytics and EdTech approaches/ Test them yourself
- Reliable and self-driven
- Enthusiasm for data-driven decisions / quantified self / learning / education / entrepreneurship
- Ability to do sophisticated internet, desk research, and connect with practitioners
- Passion to learn more about the future and do research with impact
📚 Further Reading
Ebner, Martin. (2019). Learning Analytics - eine Einführung. 46-49.
Ifenthaler, D., & Yau, J. Y. K. (2020). Utilising learning analytics to support study success in higher education: a systematic review. Educational Technology Research and Development, 68(4), 1961–1990. https://doi.org/10.1007/s11423-020-09788-z
Cerro Martínez, J. P., Guitert Catasús, M., & Romeu Fontanillas, T. (2020). Impact of using learning analytics in asynchronous online discussions in higher education. International Journal of Educational Technology in Higher Education, 17(1), 39. https://doi.org/10.1186/s41239-020-00217-y
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018, December 1). The current landscape of learning analytics in higher education. Computers in Human Behavior. Elsevier Ltd. https://doi.org/10.1016/j.chb.2018.07.027
Sclater, N., Peasgood, A., & Mullan, J. (2016). Learning Analytics in Higher Education A review of UK and international practice Full report.
Jülicher, T. (2015). Big Data in der Bildung-Learning Analytics, Educational Data Mining und Co. Retrieved from www.abida.de
Dawson, S., Joksimovic, S., Poquet, O., & Siemens, G. (2019). Increasing the impact of learning analytics. In ACM International Conference Proceeding Series (pp. 446–455). Association for Computing Machinery. https://doi.org/10.1145/3303772.3303784
Wood, G. (2014, September). The Future of College? - The Atlantic. Retrieved November 13, 2020, from https://www.theatlantic.com/magazine/archive/2014/09/the-future-of-college/375071/
Dreambox Learning - A teaching assistant for every student in your math class. - Digital Innovation and Transformation
DreamBox Learning is an intelligent, adaptive learning platform that sources data points to adjust instruction instantly and provide reports for teachers, parents, and administrators. Will this technology replace teachers or will it be adopted as a compliment or a tool to help teachers?
Netflix's CEO backs a math education program that works like the streaming service
Reed Hastings is best known as the CEO of Netflix, the streaming service that personalizes recommendations for users. But Hastings' interest in personalization also extends into a lesser-known realm: education. In 2011, Hastings teamed up with venture capitalist John Doerr to invest $11 million in the growth of math education startup DreamBox Learning.
What Amazon and Netflix can teach us about learning, according to DreamBox Learning CEO
Many of the technologies we use every day are constantly learning from us. We train Netflix in what genres of TV and movies we like. Amazon learns what we're interested in buying and when we may need to restock items. Why shouldn't the same technology address something more pressing than convenience or entertainment?
(PDF) Learning Analytics for Student Success: Future of Education in Digital Era
PDF | In the increasingly competitive and changing world, efficient education system that drives the human development in the country is the key to a... | Find, read and cite all the research you need on ResearchGate
(PDF) The role of learning analytics in future education models
As with many organisations embracing data-informed practices, the difficulty for the education sector lies not in the availability of data, but how such data is made available to key stakeholders to enable decision-making for improving learning processes (Pardo et al. 2016).
Poets&Quants | 2020 Most Disruptive MBA Startups: Ocular Technologies, MIT (Sloan)
MBA Program: MIT Sloan School of Management Industry: Healthcare Founding Student Name(s): Grayson Armstrong, Zoan Liu, Brett Sternfield Brief Description of Solution: Ocular Technologies is developing a telemedical solution to improve patient access to quality eye care.
📄 Requirements to any Work
We do not want your research to gather dust in some corner of a bookshelf but make it accessible to the world. Thus, we warmly encourage you to create some or all of the following:
- Infograph - visually represent some of your work (find examples here)
- Slide Deck - summarize your research and possibly present it
- Extract most important sequences from podcasts, videos, and other media
- 3-4 Tweets about the most important findings and summarizing the topic
- optional: Medium Article - let people outside university know about your research and start your personal brand
📬 How to Apply
If you are interested, please contact Prof. Dr. Isabell Welpe (e-mail below) by submitting your CV and grade report. Please also briefly outline your tentative research idea (research question, data and methods, possible outcomes with a tentative outline all in word as *.docx)
We're greatly looking forward to hearing more about you!