Technology-mediated advising for student success: Exploring selfmediated academic support for undergraduate students using AutoScholar Advisor System

This article explores the use of AutoScholar Advisor System (Auto-Ad) to provide useful learning support analytics for self-mediated student academic support. The study is part a pilot project enhancing success in four-year undergraduate degree (BEd) programme. Adopting students’ self-authorship as an organising framework and using Auto-Ad implemented on management platform, involved 200 high performing students (cum laude or summa cum trajectory) School Education at one university. A mixed-methods approach was used collect analyse data. Quantitative data were analysed based interaction with tool enhance their performance through automated advising. Qualitative open-ended comments allowing in-depth insight into perceptions also analysed. considered knowledge, self, relationship be important achieving success. strongest correlated factors choice degree, motivation, habits, family, relationships. Implications these findings within current systems South African universities are discussed.