Now showing 1 - 2 of 2
  • Publication
    Developing a Signature Pedagogy and Integrated Support Model for First-Year Teacher Education Students Studying at a Regional University
    The Australian regional university where this pilot study was completed is confronted with a number of demographic factors that challenge the delivery of effective student support and engagement. In 2020, the teacher education student cohort comprised of approximately 5,100 students, with 82.6% 25 years of age or older, 20.3% identified as having a low SES background, 43.7% being first-in-family, and 96.1% studying off-campus. Student demographic characteristics such as these are commonly cited as factors that contribute to increased challenge in completing tertiary study (Grebennikov & Shah, 2012; Li & Carroll, 2020). The attrition rate for commencing students for the period from 2010 to 2018 ranged between 24.6% and 36.2%. While these demographic characteristics are largely objective in character and may not be able to be addressed by university-based intervention, the nature and quality of the learning environment students‟ experience is able to provide the best opportunity for them to successfully complete their tertiary study endeavours, despite their personal context and backgrounds. One factor that has been identified as critical to the success of commencing students, particularly those from non-traditional backgrounds, is the nature of their relationships with, and the academic environment established by the academics teaching first-year units (Farr-Wharton, Charles, Keast, Woolcott, & Chamberlain, 2017).
  • Publication
    The Impact of the Online Learning Readiness Self-Check survey with Australian Tertiary Enabling Students
    (Academic Conferences and Publishing International Ltd, 2024-05-30) ; ; ;

    This study reports on two key aspects relating to the use of the Online Learning Readiness Self-Check (OLRSC) survey, which has been proposed as identifying non-traditional students' readiness for online learning, and their strengths and weaknesses in six key areas. The first aspect validates the use of the instrument based on data from 199 students engaged in an online tertiary enabling course at a regional university in Australia. Factor analysis verified the scale structure of the instrument; however, two items were removed prior to the final analysis due to low communality and/or high cross loading with other items. This is followed by an examination of whether the instrument might be useful for the early identification of students who are at risk of disengagement from the enabling program. While it was hypothesised that the instrument, which measured factors such as the quality of interaction with peers and instructors, their capacity to manage technology and how well they managed learning, should have been a useful tool to identify early disengagement, the hypothesis was not supported. No significant associations were identified between any of the instrument's scales and early withdrawal from the course or completion of the first unit of study. Future recommendations for educators are made with a view to improving student engagement.