• Share and demo resources and tools

• Group work activity: design a visualization for a data set

• In-class discussion

Teaching Data Visualization

Gabrielle Annala gannala@luc.eduSarah Morris smorris4@luc.edu

Active Learning Techniques - Provided sample datasets for in class creation, compare/contrast

good and bad examples

• Evaluative Exercise - Look at the same data represented in different ways

• Branding Awareness - Identifying Visual cues for continuity

• Value added content - Empty workflows, symbols, and representations to create value not fill space

Students are able to create a content deliverable to both professor and client. All stages of knowledge growth from access to creation are included and completed independently.

Students are exposed to new ideas and have the tools and inspiration to get started on future projects.

Objectives&

Outcomes

Based on ACRL definition of an

information literate individual,

five criteria for objectives and

outcomes were defined. The

overarching goals of the instructional

sessions are to empower students

with new ways of communication

and introduce them to new tools.

Students should be able to think critically about

visual representation of

information.

Synthesis

Evaluation

Analysis

Access

Creation

Teaching Methods

The Final Product

The ALA Big Six information literacy standards emphasize the importance of identifying and fulfilling information needs.  Often these information needs are met with a basic library instruction session.  But, creating something new and communicating ideas to an audience is also an important step in this process.  According to the Big Six, these frequently overlooked steps are known as the synthesis and evaluation stages.

A modern trend in information science is data visualization which empowers students to create and communicate their new accumulation of knowledge.  During this session we will outline class objectives, learning outcomes, lesson plans, and activity ideas for incorporating data visualization into an embedded classroom experience or workshop style seminar.

These classroom experiences are designed to expose students to new tools and to act as a bridge between information literacy stages, such as finding information and synthesizing that information into a new idea.  Data visualization encourages students to contextualize their projects and often brings about a new perspective, demonstrating intellectual growth.  This type of outcomes-oriented instruction is aimed at giving students the tools to not only understand the concept, but deliver a final product.

WORKSHOPStudents are

exposed to new ideas and have the tools and

inspiration to get started on future

projects

CLASSROOMAll students are working with the

same assignment/data and have to meet a specific set of

criteria to complete

assignment objectives.

GENERAL OUTCOMES

Build a foundational awareness of

data visualization

tools and techniques

with a discussion component for practical application

CLASSROOM

WORKSHOPS

Students will be able to identify, locate, and use tools to visually

represent information.

Initial Questions:What do you

want to know?Where can we

find it?

Students will recognize and employ criteria

to evaluate data visualizations

Initial Questions:What is useful?

Do we have new questions?

Initial Questions:What questions

have we answered?What do we now

know?

Initial Questions:What new

knowledge have we created?

Initial Questions:How do we tell

the story?What tools do we

need?What adds

value?

Students will recognize and employ criteria

to evaluate data visualizations

Students will differentiate among

different types of data visualizations

and will select visualizations that

suits their information needs

Students will create data

visualizations in order to

communicate ideas

Tools Used