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There is an urgent need for teacher preparation programs to equip teachers to teach in innovative and transformative ways, meeting the needs of diverse learners. Coaching is an instrumental tool for supporting change and development, especially in contexts with decentralized teacher preparation guidelines.

This multicase study examines cross-institutional programmatic innovations for coaching teacher candidates (TCs) and centering equity using improvement science and equity coaching. The authors explore the networked improvement community’s (NIC’s) examination of problems of practice through plan–do–study–act cycles in three coaching contexts within and across seven institutions.

Qualitative methods revealed that adapting coaching protocols can center equity and build equity-focused practices. This work highlights revisions to coaching within and across teacher preparation programs (TPPs), which the authors hope inspires extending equity-centered coaching and improvement science to new contexts. This cross-case analysis revealed program innovations for coaches, digital technologies and alignment.

This study addresses ongoing challenges faced by TPPs in the United States, including TCs' understandings of equity in teaching and decentralized teacher preparation that results in varied and incongruent understandings about quality teaching. This study builds on previous scholarship that examines shifts in coaching practices by disrupting silos in TPPs as examined innovations.

The paper offers a unique view of cross-institutional collaboration in coaching to improve transformative teaching experiences in teacher preparation field experiences.

Drawing on the personalization–privacy paradox and guided by means–end analysis, this study explores how consumers balance their concerns for privacy and the benefits of smart home device personalization and the role that trust plays in the process. More specifically, this study aims to investigate how perceptions of smart device personalization and privacy concerns are shaped by consumers’ experiences and the role of trust in the deliberation process.

In-depth interviews were conducted across diverse demographic groups of smart device users to shed light on the balancing act between personalization and privacy.

The study found that product experience, ownership type, perceived value of convenience and control and quality of life via “smart things” are key motivators for product usage. The benefits of tailored recommendations and high relevance are balanced against the risks of echo chamber effects and loss of control. The results also show the role of active involvement in the privacy calculus and trust level. The study points to the significance of an ecosystem-based service/business model in gaining consumer confidence when they balance between personalization and privacy.

Although many studies have explored trust, privacy concerns and personalization in an artificial intelligence (AI)-related context, few have addressed trust in the context of both smart devices and the personalization–privacy paradox. As such, this study adds to the existing literature by incorporating the concept of trust and addressing both privacy concerns and personalization in the AI context.