Transforming Learning Analytics Into Teaching and Learning: A Collaboration BetweenBitmaker Labs and Wilfrid Laurier University

Data-driven decision-making plays an increasingly important role in education (Mandinach & Gummer, 2013) and administrators now require educators to use data to inform practice (Earl & Seashore Louis, 2013). Furthermore, harnessing big data and predictive analytics has transformed many industries, yet to date, the analytics to supportnext generation learning has been missing from education (Baker, 2013, para. 3). Therefore, the purpose of this research is to investigate how educators use learning analytics to inform instructional practices in order to ultimately improve student performance. The study will generate valuable market research that Bitmaker Labs will use to develop and implement a learning analytics system into a classroom setting. Also, the research will be of particular interest to K-20 schools because it will provide scientific evidence and guidelines on how to properly interpret and use analytics for instructional and learning purposes.

Faculty Supervisor:

Julie Mueller

Student:

Danielle Beckett

Partner:

Bitmaker Labs

Discipline:

Education

Sector:

Digital media

University:

Wilfrid Laurier University