Designing Student Success: Building a Mobile Application to Improve Student Retention and Persistence

Ipse is creating a mobile application platform to support student success. Although many elements of the platform have been created and tested, this particular project focuses on the final development, testing and refinement of the minimum viable version o f the platform. Working with the Canadian partner, the US intern will act as a lead programmer and a technical coordinator for this project.

Developing an Automated Response Characterization Tool Based on Affect, Content, and Linguistic Features of the Casper Test

Open-ended questions are where respondents consider hypothetical scenarios that they might encounter in real life and describe what action(s) they might take in response to each situation. To assess a test-taker’s responses to these questions, a human scoring process (i.e., human raters marking each response individually) is followed. Despite following clear scoring criteria, human raters are likely to take additional factors (e.g., word choices) into account when scoring open-ended questions. Therefore, to what extent how someone writes influence the scoring needs to be carefully evaluated.

Scrutability of the “black box”: machine learning & social justice in educational measurement

Canada relies heavily on the role of language proficiency tests in determining suitability for high-stakes decisions such as admission to study programs, employment, residency, and citizenship. Increasingly, such tests are administered by automated scoring systems, employing machine learning models, which have been criticized for “black box” elements leading to inscrutable and unexplainable models of assessment.

Prediction of Crop Yields via Graph Signal Analysis

Predicting crop yield is important for farmers to minimize uncertainty and plan seeding for the next crop cycle. In this project, we address the crop yield prediction problem from a graph signal processing (GSP) perspective. Working with agronomics experts in Growers Edge in Iowa, we first identify relevant features per field, capturing important factors such as precipitation, soil composition, and sunlight condition. We then build a similarity graph to connect fields with similar characteristics as graph nodes based on their corresponding features.

Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying and addressing these gaps is critical to improving student trajectories and ensuring their later success. Year 1 of our joint research project will implement established programs to provide online tutorial sessions.

Exploring outcomes of a virtual education and training program

The delivery of online education and training has increased significantly over recent years, particularly during the COVID-19 pandemic. Research on online course delivery has focused largely on offerings delivered by academic institutions for course credit. Little is known about learner outcomes during training courses that focus on skill development. Findings from this study will provide much needed evaluation data on one online education and training course. Recommendations for maximizing learner outcomes in online courses will be developed.

Circular Design with Local Marginalized Sewing Collective

The intern is undertaking a research project on sustainability in the textile industry, and how to make the process not linear, but rather circular, so we can consider what happens to clothing at the end of its life. This research will be useful and beneficial for the partner organization, as the organization has a social enterprise consisting of a group of women who sew as a form of income generation. This livelihood program is now seeking to expand its offering to include sustainability and will benefit from the knowledge produced in this research project.

Creating a Digital Marketing Model Built on Corporate Social Responsibility

The proposed project seeks to better understand how contingency, dynamic capability, and task-technology theories factor in business process management models that apply to the business needs of SMEs and allow multiple system integration. Because a lot of research shows that the alignment of the business and IT goals of a company is crucial for business system success, the proposed project will focus on studying the possible integration of business goals and IT capabilities in the process of business management system creation.

Assess the impacts of pedagogical narration on teachers practice and curriculum making

The goal of this research is to assess the impacts of a teaching methodology known as pedagogical narration on teachers’ practices. The research study aims to introduce teachers to the Early Learning Framework and to mentor teachers in using pedagogical narration.

Socially Innovative Entrepreneurship Across Cultures

The proposed project aims to develop a robust, user friendly educational strategy and tools that can be used to empower people close to the social problems to address these challenges through sustainable, revenue generating entrepreneurial action. The research explores how education, as a social science, can contribute to positive social changes through studies in entrepreneurship and innovation. The methodology is designed to use real life, real time data to identify the most effective educational tools that inspire creation of socially innovative business models across cultures.