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This paper aims to identify the documented effects of the COVID-19 pandemic on early career researcher (ECR) activity, development, career prospects and well-being.

This is a systematic literature review of English language peer-reviewed studies published between 2020 and 2021, which provided empirical evidence of the impact of the pandemic on ECR activity and development. The search strategy involved online databases (Scopus, Web of Science and Overton); well-established higher education journals (based on Scopus classification) and references in the retained articles (snowballing). The final sample included 11 papers.

The evidence shows that ECRs have been affected in terms of research activity, researcher development, career prospects and well-being. Although many negative consequences were identified, some promising learning practices have arisen; however, these opportunities were not always fully realised. The results raise questions about differential effects across fields and possible long-term consequences where some fields and some scholars may be worse off due to priorities established as societies struggle to recover.

There is a need for revised institutional and national policies to ensure that sufficient measures are implemented to support ECRs’ research work in a situation where new duties and chores were added during the pandemic.

This paper provides insights into the impacts of the initial societal challenges of the pandemic on ECRs across disciplines that may have long-lasting effects on their academic development and well-being.

Pupils identified with SEND represent a significant proportion of the school community, comprising four children (on average) in every classroom. Yet, evidence suggests a wide variation in provision and common instances of pupils’ learning and mental health needs being missed or not being identified accurately. Criticism has also been directed at the dominant attention afforded to academic targets at the expense of mental health needs. This chapter explores the experiences of pupils with SEND, specifically youth with 22q11.2 deletion syndrome (22q11.2DS). Our case study charts a participatory action research (PAR) project designed to identify the unique issues facing pupils with 22q11.2DS and gaps in mental health and wellbeing support. A PAR approach recognises children and their families as the experts in issues affecting them and aims to capture their authentic ‘voice’. While educators are aware that pupils with SEND have been disproportionately affected by the pandemic, there remains an urgent need to strengthen support in schools with appropriate training and resources for staff, which this case study underlines.

The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.

A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.

The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.

The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.

T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.

Academic healthcare systems face great challenges in coordinating services across a continuum of care that spans hospital, community providers, home and chronic care facilities. The Johns Hopkins Community Health Partnership (J-CHiP) was created to improve coordination of acute, sub-acute and ambulatory care for patients, and improve the health of high-risk patients in surrounding neighborhoods. The paper aims to discuss this issue.

J-CHiP targeted adults admitted to the Johns Hopkins Hospital and Johns Hopkins Bayview Medical Center, patients discharged to participating skilled nursing facilities (SNFs), and high-risk Medicare and Medicaid patients receiving primary care in eight nearby outpatient sites. The primary drivers of the program were redesigned acute care delivery, seamless transitions of care and deployment of community care teams.

Acute care interventions included risk screening, multidisciplinary care planning, pharmacist-driven medication management, patient/family education, communication with next provider and care coordination protocols for common conditions. Transition interventions included post-discharge health plans, hand-offs and follow-up with primary care providers, Transition Guides, a patient access line and collaboration with SNFs. Community interventions involved forming multidisciplinary care coordination teams, integrated behavioral care and new partnerships with community-based organizations.

This paper offers a detailed description of the design and implementation of a complex program to improve care coordination for high-risk patients in an urban setting. The case studies feature findings from each intervention that promoted patient engagement, strengthened collaboration with community-based organizations and improved coordination of care.