Identifying Predictive Learning Analytics for Learner AcademicSuccess.

With the increased capabilities of technology, data plays an increasingly important role in decision-making (Mandinach & Gummer, 2013; McAfee & Brynjolfsson, 2012) and small and medium-sized enterprises (SME) now require employees to use data to inform practice (Earl & Seashore Louis, 2013; Lohr, 2012). Furthermore, harnessing big data and predictive analytics has transformed many industries, yet analytics to support next generation learning has been missing from education (Baker, 2013, para. 3). Therefore, the purpose of this research is to investigate data analytics that can be used to support learning and sustainable growth of local SMEs. The findings from this research will result in the improvement of educational services to Communitech’s 1,000 member companies and an initial prototype learning analytics platform, resulting in ultimate success and sustainability of local SMEs. This research may also be of interest to K-12 and post-secondary educators who wish to implement a learning analytics approach to instruction.

Faculty Supervisor:

Julie Mueller

Student:

Partner:

Communitech Inc

Discipline:

Business

Sector:

Education; Technology

University:

Wilfrid Laurier University

Program: