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UNB Scholar is an institutional repository initiative of UNB Libraries intended to collect, preserve, showcase, and promote the open access scholarly output of the UNB community. Use UNB Scholar to explore specific collections, or search all content in the repository. Material submitted to the repository will also be freely discoverable online through Google and other major search engines.
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Recent Submissions
Mobilizing Strengths in the Development of French as a Second Language Teacher Identity
(Univerity of Toronto Press, 2024-11-11) Le Bouthillier, Josée; Garrett, Melissa Dockrill; Kristmanson, Paula
Canada is facing a nationwide shortage of teachers of French as a second language. The profession is experiencing significant retention issues, with many teachers leaving the field within the first five years. One of the solutions proposed to address the challenges of teacher retention is for post-secondary institutions to integrate the concept and practice of professional identity development into teacher education programs (TEP). With a focus on their inherent strengths, students in a TEP were asked to keep a journal throughout their 10-month program identifying preconceived notions about teaching, critical incidents that arose, and how they endeavoured to confront or resolve them, as well as the knowledge of their character strengths that served to guide them in these efforts. This qualitative case study examines the process of one pre-service teacher in the initial development of their professional identity through the active use of self-reflective practice.
Strategies for leveraging multiple footsteps in pressure-based gait verification
(University of New Brunswick, 2025-12) MacDonald, Eve; Scheme, Erik
The distribution of pressures under the feet during walking is unique to each person and can serve as a convenient biometric for identity verification at secured checkpoints. Although multiple footsteps are naturally captured as a person walks across pressure sensors, few studies have examined how this additional evidence can improve recognition robustness. This thesis evaluates several strategies for fusing information from consecutive footsteps under two constraints: (1) when only a single footstep can be assumed and (2) when at least two consecutive footsteps are available. Using six state-of-the-art deep learning architectures, fusion methods are explored at multiple stages of the recognition pipeline, including those that model stride-level relationships and asymmetries. Results show that while stride-level modeling offers modest benefits, simple fusion approaches provide substantial and consistent improvements across architectures, yielding more robust and generalizable systems for pressure-based gait verification.
Student engagement reimagined: A qualitative inquiry into student engagement in real-world learning contexts
(University of New Brunswick, 2025-12) Jones, Cameron Thomas; Kristmanson, Paula; Hirschkorn, Mark
The phenomenon of engagement in learning and what facilitates and indicates this experience for students is more important now than ever. As an important catalyst of student success, intellectual engagement is the discrete experience of being immersed in the disciplines as a path to creative, original student work (Skinner & Pitzer, 2012; Clapp, 2017). Reimaging the learning experience defines the core focus of the bounded case for this multi-phase qualitative research methodology. In vivo code derived from student-participants informs rich case studies describing ORIGINAL WORK, IDENTITY, CONNECTION and CARE, FREEDOM and CHALLENGE, the five concepts of intellectual engagement. The research project concludes that intellectual engagement of students as a priority for teachers is a valuable goal for both students and teachers that can be used to develop transformational learning experiences that reach beyond the initial context of learning.
Seed development, germination, and seedling performance of Spartina alterniflora from the upper Bay of Fundy and Northumberland Strait for salt marsh restoration
(University of New Brunswick, 2025-12) Vicaire, Lyle M.; Barbeau, Myriam
Salt marshes offer essential ecosystem benefits, including improved coastal resilience, increasing the interest in their restoration. In Atlantic Canada, the key engineering species is the saltwater cordgrass, Spartina alterniflora. Effective restoration requires using locally adapted, genetically diverse plant material capable of withstanding environmental stressors. My research aimed to introduce a new approach to salt marsh restoration in New Brunswick by collecting wild seeds and producing S. alterniflora seedlings. From July-November in 2020 and 2021, I tracked flowering and seed development across salt marshes in the Bay of Fundy and Northumberland Strait to identify optimal seed-harvesting periods. Flowering and maturity occurred later in 2020, and Fundy sites were generally 1-2 weeks earlier than the Northumberland sites. Seeds collected in 2020 were cold stratified in two storage treatments, germinated, and grown in a greenhouse. Seedlings were then outplanted, showing strong survival and growth, supporting the use of native S. alterniflora in restoration.
A multi-mode control algorithm for vehicle to everything (V2X) considering peak demand, emissions, and outages
(University of New Brunswick, 2025-12) Tasnim, Farhan; Saxena, Shivam
Vehicle-to-everything (V2X) technology enables electric vehicles (EVs) to act as flexible energy resources, reducing energy costs and outage impacts for users while supporting grid operators in lowering peak demand and greenhouse gas emissions. This thesis proposes a multi-mode EV control algorithm that separates operational objectives into three modes: default operation, demand response (DR), and outage management. The default mode employs a model predictive control (MPC) framework to minimize energy cost, peak load, and emissions, outperforming a fixed rule-based baseline by 16.34%, 41.31%, and 9.42%, respectively. The DR mode enables contracted peak load reduction, demonstrating a 5-kW hourly dispatch. The outage management mode applies load prioritization to eliminate outage time and provides 10.86 kW of flexible load using excess solar generation. Simulations use representative New Brunswick residential data with 40 kWh EVs and 10 kW solar systems, demonstrating improved grid resilience and sustainability.