Education Commons^™

Learning Analytics To Inform Teaching And Learning Approaches, Geraldine Gray, Colm Mcguinness, Philip Owende

Student Success

Learning analytics is an evolving discipline with capability for educational data analysis to enable better understanding of learning processes. This paper reports on learning analytics research at Institute of Technology Blanchardstown, Ireland, that indicated measureable factors can identify first year students at risk of failing based on data available prior to commencement of first year of study. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines (n=1,207). Data was gathered from both student enrolment data maintained by college administration, and an online, self-reporting tool administered during induction sessions for …

The Effects Of Spatial Skills And Spatial Skills Training On Academic Performance In Stem Education, Gavin Duffy, Stephanie Farrell, Rachel Harding, Avril Behan, Aaron Mac Raighne, Robert Howard, Edmund Nevin, Brian Bowe

Conference papers

Spatial ability plays an important but often unacknowledged role in achieving success in science, technology, engineering and mathematical (STEM) education. Many entering STEM disciplines have low spatial skills but these can be improved through a short training course. Accompanying improvements in academic grades and retention rates have been observed by others. This presents an opportunity to enhance the first year experience (FYE) for those with poor spatial skills. In this study the spatial skills of students entering several first year programmes in science and engineering were measured. Those identified as weak visualisers were offered a spatial skills course. Spatial skill …

Investigating The Efficacy Of Algorithmic Student Modelling In Predicting Students At Risk Of Failing In The Early Stages Of Tertiary Education: Case Study Of Experience Based On First Year Students At An Institute Of Technology In Ireland., Geraldine Gray

Doctoral

The application of data analytics to educational settings is an emerging and growing research area. Much of the published works to-date are based on ever-increasing volumes of log data that are systematically gathered in virtual learning environments as part of module delivery. This thesis took a unique approach to modelling academic performance; it is a first study to model indicators of students at risk of failing in first year of tertiary education, based on data gathered prior to commencement of first year, facilitating early engagement with at-risk students.

The study was conducted over three years, in 2010 through 2012, and …