Abstract
Mobile learning strategies have been employed for social learning activities, including library- and museum-supported learning. Previous studies have reviewed the literature from the technological aspect. However, a retrospective study from the perspective of bibliometric and network structure has not yet been provided. The aim of this study was therefore to systematically review journal papers on library-supported mobile learning (LibML). A coding framework including library types, mobile learning strategies, and research issues was adopted based on the literature and was used to screen and categorize the research papers. A co-citation network analysis was then adopted to analyze and visualize the structural relationships among the papers. A total of 53 eligible articles with 1370 citations in follow-up studies were collected from the Scopus database. The results showed that two main research streams of LibML were identified from the overall network structure, including library- and museum-supported mobile learning. In terms of the mobile learning strategy, library-supported research mainly focused on self-directed learning, whereas museum-supported research emphasized inquiry-based learning. In terms of research issues, most library-supported research focused on patrons’ affective engagement, whereas museum-supported research emphasized learning performance. This study provides a citation-based approach to reveal the research trends and mainstream LibML research. The main contribution of combining co-citation and social network analysis is to provide a visualized network diagram of LibML research. Limitations of the methodological approach are noted. Discussion and future directions from the follow-up study are provided.
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Appendix: A list of the most influential co-citation pairs in the network
Appendix: A list of the most influential co-citation pairs in the network
# | Most influential co-citation pairs in the network | Example of the follow-up studies | ||
---|---|---|---|---|
Article 1 | Article 2 | Co-cites | ||
1 | #1-L9-ACE | #3-L8-CB | 17 (red) | (Chin et al., 2019) Effects of an augmented reality-based mobile system on students’ learning achievements and motivation for a liberal arts course |
2 | #3-L8-CB | #5-L8-A | 16 (red) | (Hsu et al., 2018) CoboChild: A blended mobile game-based learning service for children in museum contexts |
3 | #2-L5-AC | #16-L8-AC | 11 (blue) | (Kabassi, 2019) Evaluating museum websites using a combination of decision-making theories |
4 | #2-L5-AC | #15-L8-AC | 10 (blue) | (Law, 2018) Augmenting the experience of a museum visit with a geo-located AR app for an associated archaeological site |
5 | #3-L8-CB | #16-L8-AC | 10 (blue) | (Louhab et al., 2019) Smart enhanced context-aware for flipped mobile learning: SECA-FML |
6 | #1-L9-ACE | #12-L8-CB | 9 (blue) | (Chung et al., 2019) A review of experimental mobile learning research in 2010–2016 based on the activity theory framework |
7 | #1-L9-ACE | #14-L9-AC | 9 (blue) | (Adnan et al., 2019) Cloud-supported machine learning system for context-aware adaptive M-learning |
8 | #2-L5-AC | #9-L8-B | 9 (blue) | (Moorhouse et al., 2019) An experiential view to children learning in museums with Augmented Reality |
9 | #1-L9-ACE | #2-L5-AC | 8 (blue) | (Charitonos, 2019) Crossing over settings, practices and experiences: Connecting learning in museums and classrooms |
10 | #28-L11-A | #33-L5-A | 7 (blue) | (Ding et al., 2021) Changes in reading behaviour of periodicals on mobile devices: A comparative study |
11 | #3-L8-CB | #12-L8-CB | 7 (blue) | (Wang et al., 2017) Integrating socio-cultural contexts and location-based systems for ubiquitous language learning in museums: A state of the art review of 2009–2014 |
12 | #3-L8-CB | #14-L9-AC | 7 (blue) | (Takiddeen & Zualkernan, 2020) Smartwatches for context-aware ubiquitous learning |
13 | #9-L8-B | #10-L10-ACB | 7 (blue) | (Kang et al., 2018) Understanding museum visitor satisfaction and revisit intentions through mobile guide system: Moderating role of age in museum mobile guide adoption |
14 | #1-L9-ACE | #16-L8-AC | 6 (blue) | (Cárdenas-Robledo et al., 2018) Ubiquitous learning: A systematic review |
15 | #9-L8-B | #12-L8-CB | 6 (blue) | (Zheng et al., 2020) Measuring visitor learning outcomes from showcases, video installations, and interactive tablets: An empirical investigation |
16 | #9-L8-B | #16-L8-AC | 5 (black) | (Tu, 2018) Factors affecting students' behavioural intention in museum-based context-aware ubiquitous learning activities |
17 | #10-L10-ACB | #16-L8-AC | 5 (black) | (Pimmer et al., 2016) Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies |
18 | #12-L8-CB | #16-L8-AC | 5 (black) | (Hsu et al., 2016) A curriculum-based virtual and physical mobile learning model for elementary schools in museums |
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Tang, KY., Chen, CC., Hwang, GJ. et al. Did library learners benefit from m-learning strategies? Research-based evidence from a co-citation network analysis of the literature. Education Tech Research Dev 70, 1719–1753 (2022). https://doi.org/10.1007/s11423-022-10136-6
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DOI: https://doi.org/10.1007/s11423-022-10136-6