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The National Association for School-University Partnerships ([NASUP], formerly known as the National Association for Professional Development Schools [NAPDS]), annually awards the Exemplary PDS Partnership Award to partnerships who exemplify many or all of the NAPDS Nine Essentials (NAPDS, 2021). This article provides an overview of the Exemplary PDS Award and provides a review of peer-reviewed journal articles published by recipients of the NASUP/NAPDS Exemplary PDS Partnership Award between 2014 and 2024.

This paper uses a basic review of literature.

Findings indicate that most Exemplary PDS Awards between 2014 and 2024 cite the NAPDS Essentials 1 and 4. Essential 1 focuses on PDS partnerships have a comprehensive mission and mutually beneficial partnership that advances teaching, learning, and equity. Essential 4 focuses on innovative practice and reflecting on PDS partnership activities.

This article provides a review of peer-reviewed journal articles published by recipients of the Exemplary PDS Award.

Through the approach presented here, the authors created an investigation, utilizing the SOURCES Framework for Teaching with Primary and Secondary Sources, to allow their students to better understand that many people, specifically many dynamic women from diverse backgrounds, played vital roles, individually and collectively, in the fight for independence and, ultimately, the creation of the United States of America.

The SOURCES Framework for Teaching with Primary and Secondary Sources is a framework that was developed to scaffold the learning process for students to replicate that which is done by historians. This approach allows students in the classroom, in a structured manner, to analyze primary and secondary sources in authentic and engaging ways in pursuit of answers to an essential question, and others of interest to each student, regarding historical events, controversy, etc. This process empowers students to think critically, weigh various perspectives and accounts and to develop their own evidence-based response to an essential question that is central to guiding and driving inquiry.

Through the analysis of primary and secondary sources related to women’s roles and efforts during the American Revolution, students were able to develop their own evidence-based narratives to answer the essential question of “What were the different roles women played during the American Revolution?”

The authors of the manuscript outline a unique approach to teaching students about the importance of women to the independence efforts in the United States during the late 18th century. Teachers of all grade levels and various content can modify and adapt the methods and resources presented here.

This study aims to investigate some individual factors that may positively/negatively impact upon the willingness to use AI-assisted hiring procedures (AI-WtU). Specifically, the authors contribute to the ongoing discussion by testing the specific role of individuals’ personality traits and their attitude toward technology acceptance.

Data have been collected from a cohort of workers (n = 157) to explore their individual level of AI-WtU, their personality traits and level of technology acceptance, along with a series of control variables including age, gender, education, employment status, knowledge and previous experience of AI-assisted hiring.

The results obtained show the significant role played by a specific personality trait –conscientiousness – and technology acceptance in shaping the level of AI-WtU. Importantly, technology acceptance also mediates the relationship between AI-WtU and conscientiousness, thus suggesting that conscientious people may be more willing to engage in AI-assisted practices, as they see technologies as means of improving reliability and efficiency. Further, the study also shows that previous experience with AI-assisted hiring in the role of job applicants has a negative effect on AI-WtU, suggesting a prevailing negative experience with such tools, and the consequent urge for their improvement.

This study, to the best of the authors’ knowledge, is the first to test the potential role of personality traits in shaping employees AI-WtU and to provide a comprehensive understanding of the issue by additionally testing the joint effect of technology acceptance, age, gender, education, employment status and knowledge and previous experience of AI-assisted hiring in shaping individual AI-WtU.

Online medical repositories provide a platform for users to share information and dynamically access abundant electronic health data. It is important to determine whether case report information can assist the general public in appropriately managing their diseases. Therefore, this paper aims to introduce a novel deep learning-based method that allows non-professionals to make inquiries using ordinary vocabulary, retrieving the most relevant case reports for accurate and effective health information.

The dataset of case reports was collected from both the patient-generated research network and the digital medical journal repository. To enhance the accuracy of obtaining relevant case reports, the authors propose a retrieval approach that combines BERT and BiLSTM methods. The authors identified representative health-related case reports and analyzed the retrieval performance, as well as user judgments.

This study aims to provide the necessary functionalities to deliver relevant health case reports based on input from ordinary terms. The proposed framework includes features for health management, user feedback acquisition and ranking by weights to obtain the most pertinent case reports.

This study contributes to health information systems by analyzing patients' experiences and treatments with the case report retrieval model. The results of this study can provide immense benefit to the general public who intend to find treatment decisions and experiences from relevant case reports.

This qualitative study assesses the enablers of the work of a novel, self-managing digital pedagogy peer support team in a Finnish higher education institution.

This study employs a qualitative methodology with in-depth interviews of five digital pedagogy facilitators. The data collected are analyzed with the ATLAS.ti software. The analytical approach follows a deductive method, applying the categories derived from Magpili and Pazos (2018) who investigated the input variables of self-managing teams through their extensive literature review.

The primary findings underscore the suitability of Magpili and Pazos' variables for evaluating the performance enablers of self-managing teams. Furthermore, the findings emphasize the significance of leadership and effective communication as essential prerequisites for achieving elevated performance levels.

This study focuses on the enablers of team performance from the perspective of the team members. To enhance comprehensiveness, subsequent phases should incorporate viewpoints from clients, namely peer instructors, and focus on the mediator and outcome aspects of the team effectiveness framework.

This study offers actionable recommendations for higher education institutions aiming to adopt a peer mentor model akin to the one delineated in the study.

This study analyzes a collaborative approach to advancing digital pedagogy within higher education institutions and discusses the enablers for successful performance within self-managing teams.

Artificial intelligence (AI) is a cutting-edge new reality already having an unprecedented impact on society, the economy and businesses. Its future developments and long-term influence are still largely unknown. This article aims to examine AI’s potential benefits and challenges to corporate governance mechanisms, focusing on the board of directors.

The paper theoretically explores the influence of artificial intelligence on the board of directors’ capabilities, roles and functions.

Concerning rethinking board functioning in the era of artificial intelligence, the paper analyzes how artificial intelligence can impact the board of directors. It proposes some recommendations on how directors can more effectively integrate artificial intelligence into the boardroom, including establishing an internal artificial intelligence committee composed of experts with technical knowledge dedicated to managing artificial intelligence-related potential threats and opportunities.

Companies are invited to have some technical knowledge and expertise on artificial intelligence on the boards, fostering directors to upskill themselves in the new artificial intelligence technologies and establishing an ad-hoc internal committee. Policymakers are expected to keep pace with the growing proliferation of artificial intelligence solutions, defining a sharp regulatory framework.

The study advances knowledge in the corporate governance literature by shedding light on the effects of artificial intelligence on boards of directors and suggesting a set of best practices for its effective implementation.

The purpose of this paper is to explore user engagement (UE) within the Metaverse (MV) environment, emphasising the crucial role of immersive experiences (IEs). This study aims to understand how IEs influence UE and the mediating effects of hedonic value (HV) and utilitarian value (UV) on this relationship. Additionally, the authors examine the moderating impacts of user perceptions (UPs) such as headset comfort, simulation sickness, prior knowledge and ease of use on the utilisation of the MV. This study seeks to elucidate the dynamics of virtual travel at a pre-experience stage, enhancing the comprehension of how digital platforms can revolutionise UE in travel and tourism.

This study used a triangulation methodology to provide a thorough investigation into the factors influencing UE in the MV. A systematic literature review (SLR) was conducted to frame the research context and identify relevant variables. To gather empirical data, 25 interviews were performed with active MV users, supplemented by a survey distributed to 118 participants. The data collected was analysed using structural equation modelling (SEM) to test the hypothesised relationships between IEs, UPs, HV and UV and their combined effect on UE within the MV.

The findings from the SEM indicate that engaging in the MV leads to a positive IE, which significantly enhances UE. Additionally, it was discovered that HV and UV play a mediating role in strengthening the link between IEs and UE. Furthermore, UPs, including headset comfort, simulation sickness, prior knowledge and ease of use, are significant moderators in the relationship between IEs and MV usage. These insights provide a nuanced understanding of the variables that contribute to and enhance UE in virtual environments.

This research contributes original insights into the burgeoning field of digital tourism by focusing on the MV, a rapidly evolving platform. It addresses the gap in the existing literature by delineating the complex interplay between IEs, UPs and value constructs within the MV. By using a mixed-method approach and advanced statistical analysis, this study provides a comprehensive model of UE specific to virtual travel platforms. The findings are particularly valuable for developers and marketers in the hospitality and tourism sectors seeking to capitalise on digital transformation and enhance UE through immersive technologies.