What makes students tick? Exploring factors that affect learner motivations and challenges when engaging with optional library workshops on data literacy

Optional data literacy library workshops often struggle to achieve consistent high enrollment and attendance. In seeking strategies to mitigate these challenges, this qualitative study attempted to gain a better understanding of learner motivations and challenges when enrolling and attending optional data literacy instruction offered by a data library at a large university. Nineteen graduate students were interviewed. This study found four factors involved in motivating graduate students to enroll and attend optional library data literacy workshops. These factors, in the form of questions that graduate students would ask about the workshops, were: does the workshop address my need; does the workshop fit into my schedule; does the workshop satisfy my learning preferences; and are there health, emotional, or social aspects that could affect my workshop attendance. Based on these findings, several strategies to improve motivation and attendance were suggested, such as providing workshops at time of need, holding regular repeated sessions, presenting a mix of online and in-person offerings, and making workshops part of a social or networking event. • Interviewed students about their motivations to engage with data workshops • Students wanted workshops that met their research, course, or job hunt needs. • Students wanted online and in-person workshops that fit it into their schedules. • Students wanted workshops if there was a social element, such as food and drink. • Students didn't attend workshops due to illness, timing conflicts, or bad weather.

Authors

Institutions

Publication Details

Journal
The Journal of Academic Librarianship
Published
2024-11-21
DOI
https://doi.org/10.1016/j.acalib.2024.102983
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

What makes students tick? Exploring factors that affect learner motivations and challenges when engaging with optional library workshops on data literacy

Michelle Kelly Schultz
2 citations
The Journal of Academic Librarianship
Online Learning and Analytics
0.82
article

What makes students tick? Exploring factors that affect learner motivations and challenges when engaging with optional library workshops on data literacy

Michelle Kelly Schultz
article en
2 citations

Abstract

Optional data literacy library workshops often struggle to achieve consistent high enrollment and attendance. In seeking strategies to mitigate these challenges, this qualitative study attempted to gain a better understanding of learner motivations and challenges when enrolling and attending optional data literacy instruction offered by a data library at a large university. Nineteen graduate students were interviewed. This study found four factors involved in motivating graduate students to enroll and attend optional library data literacy workshops. These factors, in the form of questions that graduate students would ask about the workshops, were: does the workshop address my need; does the workshop fit into my schedule; does the workshop satisfy my learning preferences; and are there health, emotional, or social aspects that could affect my workshop attendance. Based on these findings, several strategies to improve motivation and attendance were suggested, such as providing workshops at time of need, holding regular repeated sessions, presenting a mix of online and in-person offerings, and making workshops part of a social or networking event. • Interviewed students about their motivations to engage with data workshops • Students wanted workshops that met their research, course, or job hunt needs. • Students wanted online and in-person workshops that fit it into their schedules. • Students wanted workshops if there was a social element, such as food and drink. • Students didn't attend workshops due to illness, timing conflicts, or bad weather.

The Journal of Academic LibrarianshipVol. 51(1)
University of Toronto (CA)
Quality Education
Openalex Percentile: Top 18%
Online Learning and Analytics
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.