Predictive Control Approach to Convert Single-Zone Residential Buildings with Central HVAC Systems to Multi-Zone Systems

The current project aims to develop a novel energy management strategy for residential heating ventilating and air conditioning (HVAC) systems. Controllable wireless air damping vents will adjust the air flow in different zones of the building allowing independent control of the temperature which results in enhanced thermal comfort and energy savings. The intern will collaborate with the partner organization on studying a novel predictive model to control the damping factor of the vents within fully closed to fully open range.

# Fearlesslearning: Engaged and Included in a STEM Virtualized e-Learning Environment

There is a rapidly growing disconnect between what schools and education can provide and the conditions students need in which to be empowered in a rapidly changing world where innovation will be a necessary skill for all students to thrive in the future. This proposed research project is expected to bridge the gap between industry, educator, parent and child. The expected benefit to STEM Minds Corp.

An Artificial Intelligence algorithm for creating personalized learning journeys for students

With the fast growing information available on the web, students are often greeted with countless learning materials. As such, personalization is an essential strategy for facilitating relevant learning materials to satisfy students’ needs. The scope of this project is to design a recommendation system by using a deep learning process for personalized learning based on a quiz module. At the end of the project, we would be able to determine how students like to learn and to evolve the learning path based on strengths to enhance the learning experiences.

Data-Driven Intelligent Agents for Personalized Training on Design & Computational Thinking Skills

Computational thinking, i.e., the ability to formalize and solve problems with the assistance of computers, has become crucial in a growing range of jobs. Recent research in education has provided encouraging evidence that the development of computational thinking is the most effective when it is taught in the early childhood, and that game-based learning (GBL) technologies are extremely valuable in this context. However, children often need help when learning with GBL software.

Braiding new possibilities for co-existence: holding spaces for difficult conversations

This project uses social cartography as its main methodological and collaborative tool to map practices that enable or hinder successful collaborations in spaces of socially engaged art between members of various communities in historic dissonance. These include artists from Indigenous and other racialized communities. More specifically, this project explores the potentials of post-representational uses of social cartography, as forms of “cognitive art” that are socially engaged in ways that challenge dominant forms of representation and agenda setting.

One Child at a Time One Family at a Time

Early-years educational programing is linked with greater educational, career and life outcomes. The One Child at a Time One Family at a Time program seeks to assist families in overcoming barriers and giving all children equal access to early-years learning. The home visiting program connects children and their families with individualised support and guidance tailored to a families unique needs and home situation and relevant to their culture and background.

Making scholarship more practice and policy relevant: Analysis of the Canadian Journal of Development Studies’ peer review process and its implications

This project examines the peer review process of a leading Canadian academic journal focused on international development, with the goal to better understand how research knowledge is made accessible and relevant – or not – for policy makers and practitioners. The intern will analyze systematically the texts of submitted articles, comments provided by the scholars asked to evaluate these articles, journal editorial guidelines and the revisions the authors undertake, for evidence of efforts to make research accessible and relevant.

Creation of an AI framework for the Restorative Action Program

The Restorative Action Program (RAP) is an incorporated, community-based initiative that provides support to students and staff within public and Catholic school systems, to address conflict and bullying through conflict management and leadership development. The organization has been in existence since 2003 and is currently serving approximately 9,000 students per year and growing. The addition of an intelligent analytical platform will help move the program forward.

Designing the Evaluation of a Conservation Education Service Learning Program

This research project will evaluate the experiences of participants in the Canadian Wildlife Federation’s (CWF) new Canadian Conservation Corps (CCC) program. The CCC is designed to engage Canadians between the age of 18-30 in an experience-based, environmental education program which involves an outdoor excursion, field work with environmental organizations and a public outreach project.

Schools as Potential Sites of Prevention & Intervention for Youth Homelessness

Youth homelessness exists across Canada and schools represent one site of interaction with youth who are homeless or who are at risk of homelessness. Decreasing the number of homeless young Canadians means the implementation of innovative, youth-informed practices and policies within institutions, services, and places throughout communities that serve as points of interaction with homeless and at-risk youth (such as schools).

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