Learning outcomes and offerings
Learning outcomes by individual offering
This section lists the learning outcomes for each of the instruction program's components.
Critical Toolkit for Navigating Information
(asynchronous online modules)
Learning outcomes
After completing these modules, learners will be able to:
- Identify bias and exclusion of voices in search tools and information sources.
- Discuss the creation and dissemination of information, including the information lifecycle, scholarly communication practices, and underlying structures of influence and control.
- Use “real world” information search tools, including knowledge of types, search strategies, and algorithmic effects.
- Apply techniques for source evaluation and fact-checking.
- Define types of data, assess data ownership issues, and interpret data visualizations.
Library Research Skills Tutorial
(asynchronous online modules)
Learning outcomes
After completing this tutorial, learners will be able to:
- Scope an academic research topic.
- Learn how to find appropriate information sources for university-level assignments using Sofia and article databases.
- Distinguish between different types of information sources.
- Understand the purpose and general mechanics of citation.
- Organize and efficiently work with sources.
Quick Things for Digital Knowledge
(asynchronous online modules)
Learning outcomes
By engaging with this resource, learners will be able to:
- Spark their awareness of key concepts underpinning our current digital society.
- Apply new knowledge in their studies and daily life by making connections between these concepts and other areas of knowledge and practice.
- Apply critical thinking when using information tools in the digital world.
- Build confidence in their abilities to continuously learn and to apply skills in this area.
Learn by doing workshops
Learning outcomes
By participating in these workshops, learners will be able to:
- Apply skills targeted in the workshop.
- Gain basic understanding of how the targeted topic or technology works.
- Gain confidence in using technology or digital mindsets.
- Explore how digital mindsets might impact their life or studies.
- Learn collaboratively or socially.
Graduate student workshops
Learning outcomes
By participating in these workshops, learners will be able to:
- Apply graduate-level information search skills.
- Access resources and software that are core to graduate-level studies.
- Critically select search tools and knowledge sources.
- Develop self-efficacy in graduate-level research.
- Work with data at the graduate level, including research data management, data visualization, data discovery, foundational data manipulation concepts, and data ethics.
- Learn collaboratively or socially.
Map of topics taught by learning level
The table below lists the planned topics addressed in each component of the instruction program and the targeted learning level targeted for that topic.
| Instructional offering | Awareness/ exploration | Skills application | Analytic/ creative thinking |
|---|---|---|---|
| Critical Toolkit for Navigating Information | Thinking critically about information; Key concepts: exclusion of voices / bias; data privacy, big data; types of search tools and aids including AI;types of data; information lifecycle; algorithmic literacy | Interpreting data visualizations; Finding good-quality free sources | Identifying power and voice; Selecting resources based on purpose and intent; Evaluating sources |
| Library Research Skills Tutorial | Academic research skills (general); Citing sources; Organizing sources | Scoping a research topic; Selecting search tool; Search strategies | |
| Quick Things for Digital Knowledge | Technology in society;Key concepts: AI, machine learning, XR, Web 3.0, web fragility, accessibility, open access, security & privacy, platform neutrality | ||
| Learning by doing workshops | Artificial intelligence/machine learning; Virtual/extended reality | Citation management software; AI tools for researching and learning; Electronics (e.g., Raspberry Pi, Arduino); Fibre arts; 3D printing and scanning | Data literacy; Evaluating information |
| Grad student workshops | Data ethics | Information organization and citation management; Research data management; Bibliometrics; Systematic review techniques; Discipline-specific tools; Data discovery; AI tools for information search | Scholarly publishing; Graduate-level strategies for information search; Data visualization; Data manipulation |
