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Improvement of reverse supply chains requires accurate and timely information about the patterns of consumption. In the consumer context, the ways to generate and access such use-visibility data are in their infancy. The purpose of this study is to demonstrate how the Internet of Things (IoT) may be operationalised in the domestic setting to capture data on a consumer’s use of products and the implications for reverse supply chains.

This study uses an explorative case approach drawing on data from studies of six UK households. “Horizontal” data, which reveals patterns in consumers’ use processes, is generated by combining “vertical” data from multiple sources. Use processes in the homes are mapped using IDEF0 and illustrated with the data. The quantitative data are generated using wireless sensors in the home, and qualitative data are drawn from online calendars, social media, interviews and ethnography.

The study proposes four generic measurement categories for operationalising the concept of use-visibility: experience, consumption, interaction and depletion, which together address the use of different household resources. The explorative case demonstrates how these measures can be operationalised to achieve visibility of the context of use in the home. The potential of such use-visibility for reverse supply chains is discussed.

This explorative case study is based on an in-depth study of the bathroom which illustrates the application of use-visibility measures (UVMs) but provides a limited use context. Further research is needed from a wider set of homes and a wider set of use processes and contexts.

The case demonstrates the operationalisation of the combination of data from different sources and helps answer questions of “why?”, “how?”, “when?” and “how much?”, which can inform reverse supply chains. The four UVMs can be operationalised in a way that can contribute to supply chain visibility, providing accurate and timely information of consumption, optimising resource use and eliminating waste.

IDEF0 framework and case analysis is used to identify and validate four UVMs available through IoT data – that of experience, consumption, interaction and depletion. The UVMs characterise IoT data generated from a given process and inform the primary reverse flow in the future supply chain. They provide the basis for future data collection and development of theory around their effect on reverse supply chain efficiency.

The purpose of this paper is to investigate the prevalence of household food insecurity among immigrant women connected to perinatal programs offered through a community-based organization in Edmonton, and to explore their experiences in coping with food insecurity.

This study utilized a mixed methods research design. A community-based participatory research approach was used to engage health workers who were connected to immigrant women and families through the Multicultural Health Brokers Cooperative in Edmonton. Through the health workers a sample of 213 immigrant women connected to their perinatal programs completed the Household Food Security Survey. Following the survey, 17 women completed semi-structured interviews which were analyzed using content analysis.

The vast majority of women (94 percent (n=199)) lived in food insecure households, and 53 percent (n=112) in severely food insecure. In semi-structured interviews, women specifically described not having enough money to buy vegetables, fruit and meat, and perceiving a lack of control over foods they ate and offered to their families.

This study highlights the need for support to be provided to immigrant families for acquiring healthy food in Canada.

The mixed methods design with a decent sample of often underrepresented research participants highlights an area in need of further research and greater support.

Policy makers, professional associations and scholars continue to advocate for the integration of enhanced clinical experiences for future teachers’ preparation. These recommendations reflect the growing recognition that few events in preservice teachers’ education are more significant than their experiences in the classrooms of veteran peers. Aware of the fact that the field of teacher education needs examples of effective clinical experiences, the authors examined the “critical, project-based” (CPB) model, employing Photovoice activities in a dropout prevention course in a secondary education partner school at the beginning of the COVID-19 pandemic. This paper aims to discuss the aforementioned objective.

Aware that the field of teacher education needs examples of effective clinical experiences, the authors examined the CPB model, employing Photovoice activities in a dropout prevention course in a secondary education partner school at the beginning of the COVID-19 pandemic. In this article they detail a practitioner research examination that explores the experiences of 12 preservice middle/high school teachers, reporting on these individuals’ considerations of general pedagogies, writing instruction strategies and teaching personas.

Results suggest that preservice teachers might best identify pedagogical practices that are consistent with their nascent teaching identities via experiences that occur in school-university partnerships in which future teachers are positioned as pedagogues.

This manuscript explores the use of the “CPB” clinical experience model, identifying the impacts of this approach for preparing future teachers.