This paper elaborates and extends the work of the EDUsummIT 2015 Thematic Working Group 7 by proposing a set of indicators on quality Technology-Enhanced Learning and Teaching.

Article describes how Machine Translation Post-Editing has emerged as a productivity-enhancing practice in the language service industry, where human editors correct the output of machine translation systems. this research paper aims to assess students' self-efficacy in translation learning, specifically in the context of MTPE, and explore the factor structure, psychometric properties, and internal associations of their self-efficacy.

Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.

This article presents a study that examined how three auditory lectures delivered at different speeds – normal (1.0x), fast (1.5x) and very fast (3.0x) speeds – affected graduate students’ attention, cognitive load, and learning.

This article describes the challenges that 21st century educational technologists are, and will be addressing as they undertake the effective integration of new technologies into K-12 educational systems and learning environments.

This article offers a theory of public knowledge for the purposes of defining more clearly its role in information systems and classification schemas.

This article introduces a new perspective on information behavior in Web 2.0 environments, including the role of mobile access in bridging formal to informal learning.

Article examining MARC records as artifacts that reflect metadata utilization decisions.

Article discussing a service-based approach for virtual libraries and the provision of services to patrons and other users built upon the collective personnel, information, and technological resources that constitute the library.

Article describes how the authors' study sought to leverage machine learning approaches to determine whether social determinants of health improve prediction of incident cardiovascular disease (CVD). Participants in the Jackson Heart study with no history of CVD at baseline were followed over a 10-year period to determine first CVD events.

Article highlights the SiDHELA language archive which was developed by the Centre for Endangered Languages and the Central Library at Sikkim University. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

This article seeks to support researchers by concisely reviewing key statistical assumptions associated with substantive statistical tests across the general linear model. Additionally, the article reviews techniques to check for statistical assumptions and identifies remedies and problems if data do not meet the necessary assumptions.

This article proposes monsters are documents and examines the coding and decoding of monster documents through a functional ontology lens. This article was presented at the 2020 Annual Meeting of the Document Academy.

This article is part of a series by the Smithsonian Photography Initiative called Click! Photography Changes Everything. This article discusses how photography and increased visibility can bridge the gap between the natural world and human interaction.

Article discussing book jackets as access mechanisms. Models of document searching and book jacket design are discussed in relation to the individual scholarly searcher and new modes of document searching.

Article proposing CoviSegNet, an enhanced U-Net model to segment ground-glass opacities and consolidations in CT scans of Covid-19 positive patients. The performance of CoviSegNet was evaluated on three public CT datasets. The experimental results show that the proposed CoviSegNet is highly promising.

Article considering linguistic analyses as matters of ethical practice and quality assurance in the anonymization of recordings of spoken language for deposit in a digital language archive. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.

Article describes study which examines the relationships between job satisfaction, work engagement, and turnover intention of Career and Technical Education (CTE) health science teachers in the United States (US).

This article discusses ethical issues involved in the clinical use of novel technologies.

Article reviews opportunities for novel brain-behavior characterizations. Emphasis is placed on the increasing concern of neuropsychology with these topics and the need for development in these areas to maintain relevance as a scientific discipline and advance scientific developments.

Article highlighting the promise of extended reality platforms for greater ecological validity in the clinical, affective, and social neurosciences. This article belongs to the Special Issue: A Decade of Brain Sciences.

Editorial article for the second issue of Learning and Performance Quarterly. In this piece, the author describes the second issue and the overall focus on leadership, training, mentoring and instructional design.

This editorial article discusses the inaugural issue of the Learning and Performance Quarterly (LPQ) open access journal. This editorial offers a welcome and introduction to the first issue.