Journal Article

How do first year students utilize different lecture resources?

Verma, Reetu, O'Brien, Martin

2019

Overview

One of the more noticeable changes to tertiary teaching over the past decade has been the widespread adoption of digital technologies, in particular eLearning platforms and lecture capture technology. However, much of the current knowledge of how students utilise these new technologies and their effect on traditional lecture attendance is simply derived from student surveys rather than comprehensive independent analyses. In this study, we use cluster analysis to identify common lecture resource utilisation patterns for students in four large first-year business subjects. While common usage patterns with respect to lecture attendance, video lecture recording access and download of lecture notes are identified across our subjects, the proportion of students within each of the utilisation clusters varies widely. Business statistics students are much more likely to either attend lectures or view video recordings compared to economics students, many of whom rely solely on the download of lecture notes. In order to gain insight into how student characteristics may affect these utilisation patterns, we develop a predictive model, quantifying the influences of prior academic performance, gender, age, distance from campus and international student status using statistical modelling. We find a strong role for students' previous academic performance in explaining lecture resource utilisation patterns. Students' commuting distance to campus is also established as a factor dissuading physical lecture attendance. Contrary to initial expectations, we also found that females and older students tend to rely more heavily on digital resources rather than lecture attendance. It is hoped that these findings can help first-year instructors and University administrators understand the heterogeneity of student lecture engagement patterns within the first-year experience. (HRK / Abstract übernommen).

• Publisher: Springer,Springer Netherlands,Springer Nature B.V
• Subject: Academic Achievement / Administrators / Adoption of innovations / Age Differences / Attendance / Attendance patterns / Ausland / Australien / Business Administration Education / Business education / Business students / Cluster analysis / College Faculty / College Freshmen / College students / Commuting / Digital technology / Distance learning / Economics Education / Education / Educational resources / Educational technology / Electronic Learning / Expectations / Females / First year / First year students / Foreign Students / Gender Differences / Heterogeneity / Higher Education / Information Technology / Learning analytics / Lecture Method / Lecture method (Education) / Lecture recording / Lectures / Lehre / Multivariate Analysis / Notetaking / Online learning / Online lectures / Place of Residence / Prediction models / Statistics / Student / Student attitudes / Student Characteristics / Student Surveys / Studentenschaft / Students / Studienverhalten / Studium / Teachers / Teaching / Technology / Technology application / University students / Video Technology