The influence of a peer mentor program for international students on domestic peer mentors and their intercultural development

In this study, a mixed method approach was used to examine the experience of 43 domestic peer mentors who participated in a peer mentoring program for international students offered at Memorial University of Newfoundland, St. John’s, Canada. The study aimed to answer the following questions: 1) does participating in a mentorship program for international students result in change in the intercultural development for domestic peer mentors as measured by the Intercultural Development Inventory (IDI)? 2) what were the experiences of domestic peer mentors participating in a peer mentoring program for international students? Following the Developmental Model of Intercultural Sensitivity (Bennett, 1998) as a guide, this study used the scores from the Intercultural Development Inventory (IDI) to gain an understanding of the influence of the program. The scores obtained pre and post mentorship experiences were compared and a significant difference was found. Reflections from 120 monthly reports and seven individual semi-structured interviews were also conducted to gain a deeper understanding of the mentorship experience and the influence it had on the mentors’ intercultural development. The benefits of intercultural peer mentoring on student development of skills such as leadership, communication and empathy are also discussed. The study echoes previous research that calls for an increased amount of facilitated intercultural program within university campuses. The study also advocates for further implementation of programs that provide opportunities for intercultural learning between domestic and international students in order for intercultural development to improve in higher educational settings.

Design and implementation of a relative localization system for ground and aerial robotic teams

The main focus of this thesis is to address the relative localization problem of a heterogenous team which comprises of both ground and micro aerial vehicle robots. This team configuration allows to combine the advantages of increased accessibility and better perspective provided by aerial robots with the higher computational and sensory resources provided by the ground agents, to realize a cooperative multi robotic system suitable for hostile autonomous missions. However, in such a scenario, the strict constraints in flight time, sensor pay load, and computational capability of micro aerial vehicles limits the practical applicability of popular map-based localization schemes for GPS denied navigation. Therefore, the resource limited aerial platforms of this team demand simpler localization means for autonomous navigation. Relative localization is the process of estimating the formation of a robot team using the acquired inter-robot relative measurements. This allows the team members to know their relative formation even without a global localization reference, such as GPS or a map. Thus a typical robot team would benefit from a relative localization service since it would allow the team to implement formation control, collision avoidance, and supervisory control tasks, independent of a global localization service. More importantly, a heterogenous team such as ground robots and computationally constrained aerial vehicles would benefit from a relative localization service since it provides the crucial localization information required for autonomous operation of the weaker agents. This enables less capable robots to assume supportive roles and contribute to the more powerful robots executing the mission. Hence this study proposes a relative localization-based approach for ground and micro aerial vehicle cooperation, and develops inter-robot measurement, filtering, and distributed computing modules, necessary to realize the system. The research study results in three significant contributions. First, the work designs and validates a novel inter-robot relative measurement hardware solution which has accuracy, range, and scalability characteristics, necessary for relative localization. Second, the research work performs an analysis and design of a novel nonlinear filtering method, which allows the implementation of relative localization modules and attitude reference filters on low cost devices with optimal tuning parameters. Third, this work designs and validates a novel distributed relative localization approach, which harnesses the distributed computing capability of the team to minimize communication requirements, achieve consistent estimation, and enable efficient data correspondence within the network. The work validates the complete relative localization-based system through multiple indoor experiments and numerical simulations. The relative localization based navigation concept with its sensing, filtering, and distributed computing methods introduced in this thesis complements system limitations of a ground and micro aerial vehicle team, and also targets hostile environmental conditions. Thus the work constitutes an essential step towards realizing autonomous navigation of heterogenous teams in real world applications.