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This study aims to compare similarities and differences in library and information science (LIS) and non-LIS undergraduates’ conceptions and perceptions of smart libraries via drawing analysis.

In this study, a total of 156 undergraduate students described their perceptions of smart libraries as drawings and textual descriptions. A modified coding scheme with 8 categories and 51 subcategories was used to analyse the undergraduate students’ drawings.

Most of the undergraduate students’ conceptions of smart libraries still involve self-checkout and learning/reading, focusing on information appliances, technical services, activities and objects. The differences are that the LIS undergraduates’ drawings showed smart libraries with robots, interactive book borrowing with technology tools, intelligent services, location-aware services or mobile applications, whereas non-LIS undergraduates presented smart libraries as readers (learners), other activities and no smart technology services. LIS undergraduates focused on providing patron services with technologies. Non-LIS undergraduates were more likely to draw a complex space with immediate access to books or digital resources, quiet reading and the freedom to engage in library activities.

The results provide a baseline for future research on the topic and provide preliminary evidence of using the methods to discern LIS and non-LIS undergraduates’ conceptions of smart libraries.

This study aims to investigate the information literacy (IL) performance and higher order thinking skills of students with different levels of growth mindset and their perceptions of library-supported learning by using the annotate, summarize, question and evaluate (ASQE)-based learning approach.

In this study, the ASQE-based learning approach was applied to the learning activities to cultivate students’ IL, problem-solving awareness and critical thinking tendency. A total of 60 postgraduate students were invited to participate in this study. In addition, students’ perceptions of library-supported learning were analysed via drawing analysis.

Introducing ASQE-based learning into an IL learning activity promoted reflection and thought and had positive effects on students’ problem-solving awareness and on the critical thinking tendency of students with different levels of growth mindset. Additionally, the drawing analysis indicated that most of the students with low levels of growth mindset believed that learners should actively study in the library and students with higher levels of growth mindset preferred more motivating and enjoyable learning environments.

The findings of this study demonstrate that the ASQE-based learning approach can improve higher order thinking skills of students with different levels of growth mindset. In addition, this study examined the perceptions of students with different levels of growth mindset of library-supported learning via drawing analysis.

This study aims to investigate the influences of task-technology fit on university students’ attitudes towards ubiquitous library-supported learning when they use a mobile library app, Line@Library.

In this study, structural equation modelling to examine 158 valid questionnaires are used. The study aims to examine the effects of task-technology fit (TTF) on university students’ attitudes towards mobile learning (AML) when using Line@Library.

The results show that task-technology fit is an important role that influences the students’ attitudes towards mobile learning. The factor “technology characteristics” is considered when the students attempted to use the mobile app to solve problems or complete tasks. This study also found that the students responded with positive perceptions of the task-technology fit and had positive perceptions of its ease of use. Furthermore, usefulness, ease of use and affection of AML were found to be the most influential predictors of mobile library adoption intention.

From the perspective of learners, this study investigates the relationships of the combination of social media and a mobile library between TTF and AML. This study further found that not only ease of use, usefulness and affection but also task-technology fit can be a predictor that influences students’ attitudes towards mobile learning.

This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network.

A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace.

The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front.

This study helps librarians, scientists and funders understand smart library trends.

There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.