Search results

Professional development schools (PDSs) advocate links between schools and teacher education programs, but how do mentor teachers in schools experience their role in this? Therefore, this research focuses on mentor teachers to investigate the change brought about by the implementation of a complex-wide PDS.

This qualitative single case study in a newly formed complex-wide PDS is based on surveys and individual interviews with mentor teachers from one school complex area. Activity systems analysis provided the framework to analyze mentor teachers interactions, their role and activities.

Mentor teachers expressed a sense of purpose in educating the next generation of teachers, experienced continuous learning in the collaboration with the teacher candidates and recognized opportunities for professional development offered by teacher education programs.

Schools and teacher education institutes rely on mentor teachers in their support to educate the next generation of teachers. Knowing what activities and values mentor teachers place on their mentoring can guide school administrations and teacher education institutes in their support and recruitment for mentor teachers.

This research contributes to the development of teacher education in the State of Hawaii and has identified helpful structures for meaningful teacher education.

This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field.

The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI.

This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection.

The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies.