Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Focusing On Six First Year Firsts: A Professional Development Framework Supporting Teachers Of First Year Subjects, Kathryn Harden-Thew, Bonnie Amelia Dean
Focusing On Six First Year Firsts: A Professional Development Framework Supporting Teachers Of First Year Subjects, Kathryn Harden-Thew, Bonnie Amelia Dean
Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers
The first year of university is a critical period for student engagement. Crucial to smooth transition is how teaching staff support new students in their first year experience (FYE). However, across higher education institutions, staff receive varying levels of professional development, and often, little explanation of how to translate theory into practice. In 2014, at Wollongong University, a new professional development framework was developed to assist teaching staff across the university to translate transition principles into effective curriculum practices. The framework identifies six moments in any first year curriculum where students experience their first contact with different academic elements and …
Data Driven Decision Making In Chemistry First Year Subjects, Simon Bernard Bedford, Jennifer A. Heath
Data Driven Decision Making In Chemistry First Year Subjects, Simon Bernard Bedford, Jennifer A. Heath
Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers
Analytics is not a new area of endeavour with many industries and other professions being well ahead of the education sector in the uptake of advanced analytics methods and tools (Abdous, He, & Yen, 2012; Dziuban, Moskal, Cavanagh, & Watts, 2012). Wagner and Ice (2012) describe higher education as being on the early side of the analytics adoption curve when compared to retail, telecommunications, financial services and manufacturing. Analytics is often used in higher education institutions to identify and also predict individual students who may be 'at risk' (Fritz, 2011).