Ngoc-Minh Pham
@education.missouri.edu
Information Science and Learning Technologies
Universiy of Missouri
RESEARCH INTERESTS
online learning and game-based learning, learning analytics, virtual reality and augmented realities in education, question prompts for problem-based learning in the online learning environment,
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Hyerim Cho, Minh T.N. Pham, Katherine N. Leonard, and Alex C. Urban
Emerald
PurposeWith ready access to search engines and social media platforms, the way people find image information has evolved and diversified in the past two decades. The purpose of this paper is to provide an overview of the literature on image information needs and behaviors.Design/methodology/approachFollowing an eight-step procedure for conducting systematic literature reviews, the paper presents an analysis of peer-reviewed work on image information needs and behaviors, with publications ranging from the years 1997 to 2019.FindingsApplication of the inclusion criteria led to 69 peer-reviewed works. These works were synthesized according to the following categories: research methods, users targeted, image types, identified needs, search behaviors and search obstacles. The reviewed studies show that people seek and use images for multiple reasons, including entertainment, illustration, aesthetic appreciation, knowledge construction, engagement, inspiration and social interactions. The reviewed studies also report that common strategies for image searches include keyword searches with short queries, browsing, specialization and reformulation. Observed trends suggest common deployment of query analysis, survey questionnaires and undergraduate participant pools to research image information needs and behavior.Originality/valueAt this point, after more than two decades of image information needs research, a holistic systematic review of the literature was long overdue. The way users find image information has evolved and diversified due to technological developments in image retrieval. By synthesizing this burgeoning field into specific foci, this systematic literature review provides a foundation for future empirical investigation. With this foundation set, the paper then pinpoints key research gaps to investigate, particularly the influence of user expertise, a need for more diverse population samples, a dearth of qualitative data, new search features and information and visual literacies instruction.
Kenning Arlitsch, Jonathan Wheeler, Minh Thi Ngoc Pham, and Nikolaus Nova Parulian
Emerald
PurposeThis study demonstrates that aggregated data from the Repository Analytics and Metrics Portal (RAMP) have significant potential to analyze visibility and use of institutional repositories (IR) as well as potential factors affecting their use, including repository size, platform, content, device and global location. The RAMP dataset is unique and public.Design/methodology/approachThe webometrics methodology was followed to aggregate and analyze use and performance data from 35 institutional repositories in seven countries that were registered with the RAMP for a five-month period in 2019. The RAMP aggregates Google Search Console (GSC) data to show IR items that surfaced in search results from all Google properties.FindingsThe analyses demonstrate large performance variances across IR as well as low overall use. The findings also show that device use affects search behavior, that different content types such as electronic thesis and dissertation (ETD) may affect use and that searches originating in the Global South show much higher use of mobile devices than in the Global North.Research limitations/implicationsThe RAMP relies on GSC as its sole data source, resulting in somewhat conservative overall numbers. However, the data are also expected to be as robot free as can be hoped.Originality/valueThis may be the first analysis of aggregate use and performance data derived from a global set of IR, using an openly published dataset. RAMP data offer significant research potential with regard to quantifying and characterizing variances in the discoverability and use of IR content.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0328
Minh Pham, Kanupriya Singh, and Isa Jahnke
Informa UK Limited
Given the increasing popularity of online learning, the study of the user experience in online courses is relevant for the design of meaningful online learning. While there exist many checklists fo...
Isa Jahnke, Yen-Mei Lee, Minh Pham, Hao He, and Linda Austin
Springer Science and Business Media LLC
Mobile microlearning targets a new audience of learners: employees and workers outside of offices, using smartphones for flexible, anywhere, anytime training. The term ‘mobile’ emphasizes that the content is made for small screens of smartphones. According to literature and industry reports, micro-lessons are generally between 30 s and 5 min. While research shows that mobile microlearning is a promising approach, it remains unclear how the current systems have been ‘built’: What are the underlying principles of such platforms? The goal of this study was to explore mobile-microlearning platforms and to unpack their inherent design principles. We applied different methods: First, we reviewed literature in both academic publications and industry reports in two iterative rounds. Second, we conducted interviews with industry professionals, e.g., directors and entrepreneurs of mobile- and micro-learning systems. Results show a set of 15 principles regarding technical issues, pedagogical usability of micro-content interaction and sequenced instructional flow. They can be used to detect issues and challenges in existing mobile platforms and may inform meaningful design principles for future development. The results expose that a more critical eye on the learning design implied in the small-screen platforms is needed e.g., future systems may include learning designs for higher order thinking skills.