Article describes how, to reduce the conceptual ambiguity in interdisciplinary knowledge organization systems (KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework for interdisciplinary semantic drift (ISD) detection based on the normal cloud model (NCM). The research indicates the meaning of an interdisciplinary concept will drift from the high KPE discipline to the low KPE discipline as long as interdisciplinary knowledge potential differences (KPD) exist between these two related disciplines.

The article focuses on a systematic review of current team effectiveness frameworks and models. A narrative-based method for theorizing was utilized to develop a new MTS team effectiveness framework. This research contributes to the MTS literature by providing a new formula for team effectiveness at both the team level (team effectiveness formula) and the MTS level (MTS team effectiveness formula).

This article reports the first empirical investigation of various dimensions of organization and representation of recorded knowledge and information in language archives. The study used a combination of semi-structured interviews and content analysis. Results demonstrate that, while some of the phenomena related to organization of information in language archives are specific to these types of archives, others are more typical and have been addressed by libraries in past research and practice.

This article provides a content analysis of studies from 2010 to 2020 aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. The content analysis shows that the research questions can be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification).

This paper explores the role of Historically Black College and University (HBCU) archives in preserving the history and cultural heritage of these institutions and investigates the factors that contribute to the disparities observed in the availability of digital collections and the staffing of archivists across HBCUs in the United States. Data was collected from 102 HBCU websites and the National Center for Education Statistics, and analyzed using descriptive statistics, chi-square tests, and ordinary linear regression. The findings revealed notable disparities in the staffing of archivists and the presence of digital archive collections, with geography, enrollment, and endowment emerging as potentially significant factors. The study highlights the importance of understanding key factors in the availability of digital archive collections and the staffing of archivists at HBCUs.

This article develops a virtual reality-based measure of everyday memory functioning for meal preparation tasks. The results support the construct validity of the VKP and suggest that it holds promise as a virtual reality-based measure of memory for meal preparation tasks.