This article proposes the creation and evaluation of an AI based context-aware mobile learning system designed to provide real-time training and support for medical cleaning staff.

This article conducts a review of high level sources with regard to new and emerging technologies, including a critique using established principles pertaining to learning and instruction, and a recommended curriculum for advanced learning technologies

Poster discussing practical methods for ensuring the quality of descriptive metadata associated with linguistic datasets in language archive deposits. Digital language archives are valuable tools for facilitating language revitalization, providing data on lesser-known languages, and supporting reproducibility of research and development of linguistic theory, though their potential remains unrealized as the data available in language archives are rarely accessed by linguists or language communities. Reasons for this under-utilization are the issues with data standardization and metadata quality. Including basic grammatical and typological information would allow wider audiences to reach the material.

Presentation exploring how information is organized in digital cultural heritage collection in Arabian Gulf countries. Study reveals high metadata quality overall but lack of consistency for many metadata fields, explained in part by the absence of metadata creation guidelines and professional training for metadata creators.

This presentation presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and differences in date and time representation across DPLA content hub and service hub provider groups.

This paper presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and differences in date and time representation across DPLA content hub and service hub provider groups.

Poster presented at the 2018 ACM/IEEE Joint Conference on Digital Libraries. This poster describes the use of a content analysis with the lens of information architecture to better understand how research data services are organize in North American academic library websites, and to what extent the research data lifecycle is supported within these services.

This article trained machine learning techniques to classify Norwegian radiology reports of pediatric CT examinations according to their description of abnormal findings. The developed models are robust with respect to different contexts, and may be used in quality assurance processes.

Authors of the article assert that public speaking, especially in a foreign language, is associated with increased anxiety. The authors found that VR technology had a positive effect on practicing public speaking in a foreign language, the research findings have practical implications for professionals and curriculum designers in various domains where public speaking skills are essential.