Education Commons^™

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 …

Experiences Of Computer Science Curriculum Design: A Phenomenological Study, Art Sloan, Brian Bowe

Articles

This paper presents a qualitative study of twelve computer science lecturers’ experiences of curriculum design of several degree programmes during a time of transition from year-long to semesterised courses, due to institutional policy change. The background to the study is outlined, as are the reasons for choosing the research methodology. The main findings are presented and the implications of the study described. The methodology chosen was hermeneutic phenomenology. The data were the texts of interview transcripts of the twelve participant lecturers. The experiences that emerged from analysis of the data grouped naturally in identifiable and presentable themes and these themes …