Library and Information Science

Submitted by Lauren deLaubell on January 17th, 2025
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Short Description: 

The most powerful wizards have gathered to battle one another.  Only one will win.  Wizards must use reliable sources to research incantations for the battle, or their spells will fizzle.  Truly wise wizards must learn to tell the difference. 

Research Wizards is an information literacy card game designed to teach students ages 12+ about source evaluation.  Research Wizards corresponds to the Frame Authority Is Constructed and Contextual, from the ACRL Framework for Information Literacy for Higher Education.  Players will discuss and challenge the relative value of various sources, each representing a different suit in the game.  The game includes four major actions/phases:  Parley, when players discuss and decide for themselves the relative value of each suit; Battle, which includes competition, player actions, and Challenges; Vengeance, for eliminated players to impact and speed up the remainder of the game; and Victory.

The Research Wizards website contains free game files, player directions, and printing tips for librarians and teachers who wish to use the game in their classrooms.  The website includes an editable, Microsoft Publisher version of the game.  Noncommercial use of the game is free for educational purposes with attribution to the author.  Librarians and teachers are encouraged to adapt the game as needed for their subject areas, student needs, and as the sources in the game evolve over time.  Adaptations must be shared under the same terms.

Players:  3-5 per deck

Play Time:  20-30 minutes, plus discussion

Research Wizards by Lauren deLaubell is licensed under CC BY-NC-SA 4.0  To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/

Attachments: 
AttachmentSize
Player directionsdisplayed 1595 times1.02 MB
Printing tipsdisplayed 1512 times26.71 KB
Card deckdisplayed 1560 times2.51 MB
Learning Outcomes: 
    • Wizards will define a variety of traditional and emerging information formats.
    • Wizards will compare a variety of information formats and discuss their relative reliability.
    • Wizards will explore the variation in quality found within specific categories of information (e.g., the wildcard of using resources located by or generated with artificial intelligence).

Individual or Group:

Potential Pitfalls and Teaching Tips: 

It is recommended to review directions out loud with students, with pauses for students to sort their decks and conduct the Parley phase of play.  To contextualize and reinforce learning, it is recommended to conclude the game with discussion questions; sample questions are provided at the bottom of the player directions file but may be adjusted as needed.

Suggested Citation: 
deLaubell, Lauren. "Research Wizards." CORA (Community of Online Research Assignments), 2025. https://projectcora.org/assignment/research-wizards.
Submitted by Ariel Dyer on November 18th, 2024
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Short Description: 

Play-based learning activity asking students to intentionally create "fake news" and engage with their emotional reactions in coming across information. 

Learning Outcomes: 
  • Evaluate news using the SIFT rubric
  • Select relevant misinformation tools and apply to misleading information
  • Create misinformation in order to understand its proliferation

Individual or Group:

Potential Pitfalls and Teaching Tips: 

Recommendations for adaptation:

  • -Prior introduction to AI tools
  • -Stronger parameters for discussion post (set the scene)
Suggested Citation: 
Dyer, Ariel. "Faking Breaking News." CORA (Community of Online Research Assignments), 2024. https://projectcora.org/assignment/faking-breaking-news.
Submitted by Andrea Brooks on October 14th, 2024
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Short Description: 

Two librarians at NKU developed an Informed Voting workshop to help students navigate information during the 2024 election season. Attendees were provided a worksheet to learn about the candidates/issues on their ballot and dig into one issue/race to investigate during the workshop.

Attachments: 
AttachmentSize
Voting Workshop Plandisplayed 575 times36.13 KB
Voting Workshop Slidesdisplayed 637 times2.95 MB
Voter Workshop Worksheetdisplayed 577 times25.1 KB
Learning Outcomes: 
Locate voter information to identify who and what is on their ballot
Use relevant and credible news sources to make informed voting decisions

Individual or Group:

Course Context (e.g. how it was implemented or integrated): 

This was a workshop designed for our campus community and open for anyone, though marketing targeted the student population. We are also considering how to offer this workshop as an option for a class.

Additional Instructor Resources (e.g. in-class activities, worksheets, scaffolding applications, supplemental modules, further readings, etc.): 
Potential Pitfalls and Teaching Tips: 
Collaborators: 
Suggested Citation: 
Brooks, Andrea. "Voter Workshop." CORA (Community of Online Research Assignments), 2024. https://projectcora.org/assignment/voter-workshop.

Teaching Resource

Informationliteracy.gov disseminates successful practices, tools, and programs related to financial, health, digital, and other information literacy subject areas.

Submitted by Shelby Hallman on March 26th, 2024
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Short Description: 

Algorithms are everywhere, and they have increasing power over what we consume (Amazon, Netflix, TikTok), who we date (“the apps”), and how we understand the world (Google, ChatGPT). So, what are algorithms, and how did they become so powerful? Who are the humans that create them, and why does it matter?

In this workshop, we will explore how algorithms can perpetuate bias and discrimination, and discuss some preventive strategies. It is open to learners of all backgrounds and experience.

Workshop Instructors: Shelby Hallman, Physical Sciences and Engineering Librarian; Ashley Peterson, Research & Instruction Librarian, Media and Data Literacy; Alexandra Solodkaya, Rothman Family Food Studies Librarian

Credits: This workshop was derived from LMU's Rise Against the Machines: Understanding Algorithmic Bias workshop. 

Attachments: 
AttachmentSize
UCLA_SRW_Fall23 Algorithmic Bias Workshop Slide Deck.pdfdisplayed 1072 times3.75 MB
Algo_Bias_UCLA_Fall_23_Lesson Plan.pdfdisplayed 948 times83.65 KB
Learning Outcomes: 
  • Students will be introduced to algorithmic bias concepts, focusing on machine learning and AI.
  • Students will understand the causes and implications of bias within algorithm development and use. 
  • Students will discuss strategies to cope with or critically engage with algorithms.

Individual or Group:

Course Context (e.g. how it was implemented or integrated): 

This workshop was held virtually, via Zoom. 

Assessment or Criteria for Success
Assessment Short Description: 
Formative assessment was conducted via the in-session activities and participation. Summative assessment was conducted via an end of session survey form.
Suggested Citation: 
Hallman, Shelby. "Breaking the Code: Understanding Algorithmic Bias." CORA (Community of Online Research Assignments), 2024. https://projectcora.org/assignment/breaking-code-understanding-algorithmic-bias.
Submitted by Sarah Hartman-Caverly on December 20th, 2023
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Short Description: 

The Hidden Layer Workshop introduces key generative AI (genAI) concepts through a privacy lens. Participants probe the possibilities and limitations of genAI while considering implications for intellectual privacy, intellectual property, data sovereignty, and human agency. In the centerpiece activity, participants engage in a hidden layer simulation to develop a conceptual understanding of the algorithms in the neural networks underlying LLMs and their implications for machine bias and AI hallucination. Drawing on Richards’s theory of intellectual privacy (2015) and the movement for data sovereignty, and introducing an original framework for the ethical evaluation of AI, Hidden Layer prepares participants to be critical users of genAI and synthetic media.

The workshop is designed for a 60-minute session, but can be extended to fill the time available.
Includes workshop guide, presentation slides, learning activities, and assessment instrument.

Attachments: 
AttachmentSize
HiddenLayer_LessonPlan_CCBYSA_HartmanCaverly_2023.pdfdisplayed 1411 times117.63 KB
Learning Outcomes: 

Facilitator learning objectives

During this workshop, participants will

  • Apply prompt engineering techniques to elicit information from text-to-text generative AI (genAI) platforms

  • Appreciate a range of intellectual privacy implications posed by genAI, including: 

    • personal data;

    • intellectual property (copyright, patent, proprietary and sensitive data); 

    • AI alignment (social bias, content moderation, AI guardrails, censorship, prompt injection); 

    • synthetic media;

    • AI hallucination and mis/dis/malinformation; and

    • data sovereignty and data colonialism.

  • Engage in a simulation to develop a conceptual understanding of how the hidden layer in the neural networks underpinning large language models works

  • Synthesize their knowledge of genAI intellectual privacy considerations to analyze an ethical case study using the Agent-Impact Matrix for Artificial Intelligence (AIM4AI).

Participant learning outcomes

During this workshop, participants will

  • Interact with genAI to explore its possibilities and limitations

  • Discuss the intellectual privacy implications of genAI, including intellectual property considerations

  • Evaluate the ethics of genAI for its impact on human agency

Individual or Group:

Suggested Citation: 
Hartman-Caverly, Sarah. "Hidden Layer: Intellectual Privacy and Generative AI." CORA (Community of Online Research Assignments), 2023. https://projectcora.org/assignment/hidden-layer-intellectual-privacy-and-generative-ai.
Submitted by Sarah Hartman-Caverly on August 4th, 2023
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Short Description: 

This workshop engages participants in exploring corporate data collection, personal profiling, deceptive design, and data brokerage practices. Workshop content is contextualized with the theoretical frameworks of panoptic sort (Gandy), surveillance capitalism (Zuboff), and the four regulators (Lessig) and presented through a privacy and business ethics lens. Participants will learn how companies make money from data collection practices; explore how interface design can influence our choices and behaviors; and discuss business ethics regarding privacy and big data.
The workshop is designed for 75-minute class sessions, but can be compressed into 60-minute sessions.
Includes workshop guide, presentation slides, learning activities, and assessment instrument.

Attachments: 
AttachmentSize
DarkPatternsWorkshopLessonPlan_HartmanCaverly_CCBYNCSA.pdfdisplayed 1019 times84.44 KB
Learning Outcomes: 
  1. Learn how companies make money from data collection practices
  2. Explore how interface design can influence our choices and behaviors
  3. Discuss business ethics regarding privacy and big data.

Individual or Group:

Course Context (e.g. how it was implemented or integrated): 
Additional Instructor Resources (e.g. in-class activities, worksheets, scaffolding applications, supplemental modules, further readings, etc.): 
Potential Pitfalls and Teaching Tips: 
Suggested Citation: 
Hartman-Caverly, Sarah. "Dark Patterns: Surveillance Capitalism and Business Ethics." CORA (Community of Online Research Assignments), 2023. https://projectcora.org/assignment/dark-patterns-surveillance-capitalism-and-business-ethics.
Submitted by Sarah Hartman-Caverly on August 4th, 2023
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Short Description: 

This sex-positive privacy literacy workshop engages participants in exploring how sex tech impacts intimate privacy and intimate relationships. Workshop content is contextualized with the theoretical frameworks of artificial intimacies (Brooks) and consentful tech (The Consentful Tech Project) and the concept of intimate privacy (Citron) and presented through a privacy literacy lens. Participants will identify artificial intimacies in order to assess real-world examples and their impact upon intimate privacy; evaluate the privacy of digital bodies under conditions of data promiscuity using a consentful tech framework; and understand intimate privacy and the impact of technology on intimate relationships and wellbeing.

The workshop is designed for a 60-minute session, but can be extended to fill the time available.
Includes workshop guide, presentation slides, learning activities, inclusive pedagogy tool, and assessment instrument.

Learning Outcomes: 
  1. Identify artificial intimacies in order to assess real-world examples and their impact upon intimate privacy
  2. Evaluate the privacy of digital bodies under conditions of data promiscuity using a consentful tech framework
  3. Understand intimate privacy and the impact of technology on intimate relationships and wellbeing.

Individual or Group:

Course Context (e.g. how it was implemented or integrated): 
Additional Instructor Resources (e.g. in-class activities, worksheets, scaffolding applications, supplemental modules, further readings, etc.): 
Potential Pitfalls and Teaching Tips: 
Collaborators: 
Suggested Citation: 
Hartman-Caverly, Sarah. "Private Bits: Privacy, Intimacy, and Consent." CORA (Community of Online Research Assignments), 2023. https://projectcora.org/assignment/private-bits-privacy-intimacy-and-consent.

Teaching Resource

Home for the IMLS Grant RE-72-17-0103-17 - “RE:Search” - Unpacking the Algorithms That Shape Our UX.

Submitted by Shelby Hallman on August 16th, 2022
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Short Description: 

Description: The Database Scavenger Hunt engages pairs of students in locating specific information or performing specific tasks across multiple resources. Each team works through a series of 16 questions/tasks, with verification of correct answers from the librarian/professor after every 1 or 2 questions, then places a mark on the corresponding wall grid of questions once an answer is deemed correct. The process repeats until the team completes all questions.

The wall grid acts as a way to track where teams are in the game and creates a light-weight race to finish first. (Optional: provide a small prize to either the first team to finish or do a drawing of all teams that finished to give out a prize). See image below of completed wall-grid, with each color/shape of sticky note representing a different team.

Verifying answers after each/every 2 questions ensures students are finding the correct information and completing the tasks. Once a majority of teams complete all 16 questions, there is a group discussion of difficult questions and demoing of any specific problem areas. Before the activity begins, the librarian/instructor can demo where to find databases & database descriptions on the library webpage and mention how to log in. 

Questions can be customized to match the class/subject area. The example attached below is for an undergraduate research group. Examples of changes include: switching databases & examples, focusing on different types of information (patents, standards, handbooks, webpages, etc.), changing tasks based on assignment needs, etc.

Note: Because of the verification step, this activity is best with groups of 20 or less and with the assistance of either the professor or another colleague. 

Materials Needed:

  • Question sheet for each student
  • Answer sheet for each librarian/professor/instructor
  • Wall grid, cut into half-size pages
  • Sticky notes (or some method of distinguishing team marks on grid)
  • Tape to adhere grid to wall
  • Prize (optional)
Attachments: 
AttachmentSize
Wall Grid_Undergraduate Researchers Exampledisplayed 1487 times16.58 KB
Handout_Undergraduate Researchers Exampledisplayed 1525 times16.45 KB
Answers_Undergraduate Researchers Exampledisplayed 1049 times19.29 KB
Answers_Bio and Ag Engineering Example_Scavenger Hunt.docxdisplayed 845 times18.42 KB
Answers_STEM Multi-Subject Example_Database Scavenger Hunt.docxdisplayed 807 times18.41 KB
Image of Wall Grid Post-Database Scavenger Hunt.pdfdisplayed 1194 times505.65 KB
Learning Outcomes: 
  • Students will know how to identify databases relevant to their needs and topic.
  • Students will have basic familiarity with multiple database interfaces.

Individual or Group:

Course Context (e.g. how it was implemented or integrated): 

Assignment Pairings:

Pairs well with search strategy, in-depth database/resource demo or usage, guided searching, assessing sources, and literature reviews.

Additional Instructor Resources (e.g. in-class activities, worksheets, scaffolding applications, supplemental modules, further readings, etc.): 
Assessment or Criteria for Success
Assessment Short Description: 
Assessment is conducted via formative assessment during the game by monitoring difficult questions/tasks and immediately after the game via discussion and review.
Potential Pitfalls and Teaching Tips: 

Note: Because of the verification step, this activity is best with groups of 20 or less and with the assistance of either the professor or another colleague. 

Suggested Citation: 
Hallman, Shelby. "Database Scavenger Hunt." CORA (Community of Online Research Assignments), 2022. https://projectcora.org/assignment/database-scavenger-hunt.

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