The Relationship Between Student Demographics and Student Engagement with Online Library Instruction Modules

Abstract

Commons-Attribution-Noncommercial-Share Alike License 4.0 International (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly attributed, not used for commercial purposes, and, if transformed, the resulting work is redistributed under the same or similar license to this one. AbstractObjective -To investigate whether there are any demographic trends affecting student engagement with online library instruction which might have implications for practice, the authors designed a case study to examine the relationship between student demographic Evidence Based Library and Information Practice 2016, 11.3 5 characteristics and engagement with online library instruction modules in English 102 courses at a single university.Methods -The authors recruited 181 students from English 102 (ENG 102), a research-based composition course, to participate in the study. ENG 102 instructors asked all participants to complete an online library instruction module embedded in the university's course management system, either before in-person library instruction or in lieu of face-to-face library instruction. No external incentive was provided for online module completion. The research team measured levels of student engagement by recording the amount of time students spent on each page of the online module. In collaboration with the Office of Institutional Research, the authors then pulled demographic data on each participant using the university's student information system. Pearson chi-square tests were performed to determine whether there were any notable associations between levels of student engagement and student age, grade point average, gender, and race/ethnicity.

Unleashing the role of e-learning in student engagement practices and accounting professional competencies

“…Meanwhile, in recent studies, demographic characteristics of students were examined in terms of their effect on e-learning activities, and the findings showed that age and grades of students significantly influence their SE and professional skills (e.g., Dahalan et al, 2012;Duan et al, 2018;Jung and Lee, 2018;Thill et al, 2016;Zhang and Liu, 2019). Lastly, students' demographic characteristics were also found to affect their APC and their accounting skill development (Anjum, 2020;Hassan et al, 2020;Helm, 2015;Kirstein et al, 2019;Szadziewska et al, 2017;Yanto et al, 2011).…”

Urban Railway Connection: Opportunities, Challenges, Development Opportunities

“…Lopatovska and Regalado [8] assessed students' behavior across four university libraries in New York City area and found that demographics, academic requirements, work habits and disciplinary affiliations accounted for the variations in their behavior towards library use. Investigating demographic trends influencing students' engagement in online library instruction, Thill, Rosenzweig and Wallis [9] established that age, academic performance, gender, race and ethnicity were significant factors. At the Pontificia Universidad Catolica de Chile, Jara, Clasing, Gonzalez, Montenegro, Kelly, Alaron, Sandoval and Saurina [10] indicated that library use by undergraduates varied across the various disciplines and level of study in the university.…”

Diverse mobile users: the development of library experts

“…al, 2017, p. 182). Researchers also found that there are ties to online learning modules and research associated with demographics such as age and gender (Thill, Rosenzweig, and Wallis, 2016).…”

“…are personally driven and motivated rather than supported by clearlyplanned, identified and integrated infrastructure across the institution" (Hinze et al, 2017, p. 182). Researchers also found that there are ties to online learning modules and research associated with demographics such as age and gender (Thill, Rosenzweig, and Wallis, 2016).…”