Accessible Learning Materials & Tools

Learn how to design learning materials accessibly. This site contains courses that focus on making documents accessible, PowerPoints accessible, captioning videos, and using Read&Write software effectively.
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UDOIT Accessibility User Guide

Online courses broaden our ability to reach a wide variety of students, but they can also serve as barriers when the students who need them are unable to access and use them. The UDOIT Accessibility Checker allows you to scan your Canvas courses for potential accessibility issues and resolve many of those issues from within the UDOIT app. UDOIT provides guidance for why accessibility issues may inhibit learning for some students. When used in conjunction with the other accessibility evaluation tools on this page, UDOIT also serves as a checklist for the files in your course, allowing you to quickly access course documents, review them outside of UDOIT to remediate accessibility issues, and mark them as reviewed.
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Best Practices for Online Assessments

Putting an exam online? Need ideas for how to assess learner progress in Canvas? This is a one-stop location for asynchronous, self-paced training related to designing and delivering effective tests and assessments online. Topics include pedagogy and design, using Canvas to construct assessments, and facilitating feedback effectively. 
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Proctorio Support Documentation

An Online@UT (Canvas) Proctorio support documentation site has been developed to familiarize faculty and students with Proctorio. Faculty will learn about best practices including wording for your syllabus. Faculty and students will learn how to get started with Proctorio, troubleshooting tips, and can review FAQs. We strongly encourage faculty and students to enroll in this site.
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Access the Proctorio Support Documentation resource guide.

Canvas Folio: Digital Tool for Assessment & Student Career Prep

Canvas Folio is an electronic portfolio tool that students, faculty, and staff can use to craft a professional digital version of their resume or portfolio. 
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Canvas Training for Faculty and Staff

Complete the Canvas Training for Faculty and Staff workshop at your own pace.
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Canvas Training for Students

This workshop provides essential training to students who are new to Canvas, have some experience but need a Canvas refresher, or want to stay updated with Canvas changes.
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Teaching Online Reboot: Canvas & Zoom

Learn the general framework for easily creating Canvas course sites by applying a new course template as well as techniques to manage the online classroom environment using Zoom.
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Classroom Technology Resources and Training Website

At classrooms.utk.edu you will find detailed instructions and ideas on using all of the technologies that are available in each campus-hosted classroom. Search for an individual classroom or a specific technology user guide.
Visit the Classroom Technology Resource website

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Clicker Self-Service Training Resource

This course will equip you with the tools and knowledge to pose response-driven questions in real-time during your course instruction. 
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Panopto Self-Service Training

This course covers using the Panopto platform in the classroom and virtually. The self-paced training modules cover all of Panopto’s offerings.
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Visual Design for Instruction

If you would like to improve the visual design of your course, give students a boost in learning key concepts, or just find decent images without the copyright headache, this course is for you!
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MS Word for Theses & Dissertations

In this resource, we will explore how you can use Microsoft Word to help you format your thesis or dissertation. Please note that this course is not a comprehensive list of all of the requirements and guidelines for your thesis/dissertation, but rather a resource to help you structure your thesis/dissertation using Microsoft Word as a tool.
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Excel Tips and Tricks for Faculty, Staff, and Students

Learn about Excel’s features that will help you optimize your use of Excel. This course contains information, including the VLookup function, Pivot tables, flash filling, creating tables, basic formatting, and other Excel features.
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PowerPoint: Creating a Memorable Presentation

Do you have a conference, class, or other presentation coming up? Get some tips for designing a great presentation.
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PowerPoint: Recording Your Lecture with PowerPoint

You have many tools available to you to record your lecture. Panopto and Zoom are powerful tools for recording your entire presentation, including other inputs such as document cameras and more. But if all you need is to record yourself delivering a PowerPoint lecture, you can record your lecture right from within PowerPoint.
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Getting Started in OneNote

Learn how to use OneNote to take notes more efficiently, collaborate on note taking, and more.
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Microsoft Sway for Presentations

Sway is a presentation app available to you in Microsoft 365. With Sway, you can create presentations from scratch or start one based on a Word, PowerPoint, or PDF document. Learn how to create kiosk presentations for photo galleries and more.
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Research Computing Support Overview of Services

In this brief previously recorded 30-minute presentation, we will discuss the various software and services that Research Computing Support offers Students, Faculty, and Staff members. We cover how RCS provides assistance with analyzing data via statistical consulting, qualitative analysis, GIS support, content analysis, and data mining. This includes help with designing studies, experiments, and determining sample size; How we can help create, deploy, and analyze web survey data; Co-authorship, and several other research-related topics. In addition, we discuss the research software available on campus and how to get assistance.
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Basic Statistical Concepts 

Basic statistical concepts are fundamental to understanding more in-depth analyses that are typically performed when conducting quantitative research. This workshop discusses the contribution of statistics to the scientific method and provides an overview of the statistical methods associated with basic data analysis. Topics include basic statistical concepts, developing a research hypothesis, the importance of statistical power, an explanation of basic statistical tests, and guidelines on how to present research results. An example is provided of a past research project in veterinary medicine. This workshop takes approximately 45 minutes to complete.
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Data Visualization: Best Practices

The same data visualization could be good or bad depending on the point you’re trying to make. We will briefly discuss your options of using words and tables, then we will focus a variety of graphical displays, showing when each works best. Several different plot types are discussed including histograms, bar charts, dot plots, pie charts, line charts, box plots, and scatter plots with various types of fit lines. This presentation takes approximately 1 hour to complete. This workshop is optionally followed by R: Data Visualization which shows how to make the graphs discussed in this workshop. 
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Esri ArcGIS Training Resources

As a benefit of the site license the University of Tennessee has with ESRI, the students, faculty, and staff of UT may take a number of online Geographic Information System (GIS) courses at no additional charge through ESRI’s Virtual Campus.
Visit the UT GIS Assistance and Training webpage for a list of training options

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JMP: Basics

Students will learn the basics of using the JMP interface to accomplish the following tasks: Manage data effectively; Explore data by using the software’s extensive graphical capabilities; Create and manage data summary reports in JMP; Conduct basic data analysis; Find help and learning resources. Hands on tutorials will be conducted throughout the session and prior preliminary knowledge of JMP is not required. This workshop takes approximately 1 hour to complete. 
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JMP: Introduction to Design of Experiments

Design of experiments (DOE) is the design of a process aimed to describe and explain sources of variability to improve product and process development. In simpler terms, experimentation is used to determine causation. This workshop begins with an overview of basic statistical concepts, the scientific method, and the statistical contributions to the scientific method. A simple example is used to walk through the scientific method while demonstrating statistical thinking, methodology, and analysis. Basic principles of DOE are then covered leading to specific types of designs. Completely Randomized Designs (CRD) and Randomized Complete Block Designs (RCBD) are introduced. The workshop ends with the development of these designs built in JMP software. This workshop takes approximately 1 hour and 45 minutes to complete.
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MATLAB e-Learning Training Resources

The MATLAB Onramp course is available at no additional charge to registered users of the UT MATLAB site license. If you are not a registered user, log into the OIT Software Download Site, download the file under MathWorks, Inc., and follow the steps for creating a MathWorks account.
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Launch the Mathworks MATLAB Onramp, Self-Paced Online Course

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Mediated Multilevel Regression Models 

A mediated regression is one in which the relationship between the independent and dependent variables is partially or totally due to the action of a third intervening variable. In this workshop we will extend the idea of mediated regression to multilevel models, models made up of variables from more than one level of aggregation, e.g., students within classrooms, etc. A working knowledge of basic mediated regression and multilevel modeling is desirable. This workshop takes approximately 1 hour and 30 minutes to complete.  
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Mediator and Moderator Regression 

Mediator and moderator variables are terms in a regression model which intervene between the independent and dependent variables and alter the relationship between them. This workshop will explain the difference between mediation and moderation effects and show how to model and assess them. Examples will use both traditional statistical software and structural equation modeling software. This workshop takes approximately 1 hour and 30 minutes to complete. 
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Moderated Mediation Regression Models

In a mediated regression model the relationship between the dependent and independent variables is at least partially the result of the intervention of a third variable, the mediator. In moderated mediation, this mediation effect is in turn influenced by the value of yet another variable, the moderator. This workshop will cover how to run a moderated mediation model in several popular software packages and how to interpret the results. This will include a discussion of SAS and Mplus code for the Johnson-Neyman technique for determining the range of moderator values for which the mediation is and is not statistically significant. A basic understanding of linear regression as well as the concepts of mediation and moderation will be assumed. This workshop takes approximately 1 hour and 15 minutes to complete. 
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Moderated Regression Using Multigroup Analysis in Amos

A moderated regression is one in which the relationship between a predictor and the dependent variable is altered (moderated) by the value of a third variable, called the moderator. In this 10-minute video we will discuss how to use the multi-group analysis feature of the Amos structural equation modeling software to assess the statistical significance of the moderation effect of a categorical moderator variable. 
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Begin this Moderated Regression Using Multigroup Analysis in Amos workshop 

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Multilevel Regression Models with SAS and Mplus 

Multilevel regression models are models in which the experimental units are nested within larger groupings such as students within classrooms or workers within factories. Both the individual experimental unit (student) and the higher-level grouping variable (classroom) can contribute unique variance to the variables in the regression and the relationship between them. The workshop will work through a simple two-level model using two popular statistical packages, the SAS ‘Mixed’ procedure, and the Mplus ‘Two-level Random’ analysis. This workshop will take approximately 1 hour and 30 minutes to complete. 
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Begin this Multilevel Regression Models with SAS and Mplus workshop

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NVivo: Fundamentals

NVivo is a qualitative data-analysis package used to organize and analyze resources used in qualitative research. NVivo allows researchers to analyze documents, electronic web surveys, audio and video files, images, database tables, web pages, and social media content in one platform. This workshop will provide an overview of the software. The interface and features are demonstrated, along with examples of research projects utilizing the software. Participants will import and organize data in NVivo, add research notes and annotations, and code qualitative data in a variety of ways. Participants will also understand the potential of NVivo as a tool for organizing, questioning, visualizing, and reporting qualitative research data.
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Python: Basics

In this hands-on workshop you will learn how to use the Python programming language to create a python variable-number, string, list, dictionary, and tuple; how to create Python functions, condition statements and iteration; how to install a python package; how to manage your files and workspace; how to read comma-separated data files; how to create plots using Seaborn package. It takes approximately 1.5 hours to complete this workshop.
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R: Basics

In this hands-on previously recorded zoom workshop you will learn to use the R programming language to create vectors, factors, and data frames; Manage your files and workspace; Control R functions; Read comma-separated data files; Select variables and observations; Create plots and perform basic statistical analyses. This workshop takes approximately 2 hours to complete.
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R: Data Visualization

R’s ggplot2 package lets you visualize data and easily make complex graphs. In this hands-on previously recorded zoom workshop you will learn the grammar of the graphic approach and create a wide range of graphs including histograms, bar charts, dot plots, pie charts, line charts, QQ plots, box plots, and scatter plots with various types of fit lines. You will also learn how to easily create graphs divided up by groups and mosaic combinations. This workshop takes approximately 2 hours to complete.
Recommended prerequisite: R: Basics workshop
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R: Machine Learning

In this hands-on workshop, you will learn how to use R to discover useful patterns in your data and to make accurate predictions. Topics will include data preparation, automated variable selection, cross-validation methods, model tuning, and several popular modeling approaches including decision trees, random forests, gradient boosting machines, and neural networks. We will use the popular tidymodels package which integrates the various steps and standardizes them across many modeling methods. This workshop takes approximately 8 hours to complete.
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R: Markdown

In this hands-on previously recorded zoom workshop you will learn how to blend your research writing, programming, and output into a single word processing style document using the R Markdown language in RStudio. This style of work is known as Reproducible Research since every phase of the analysis can be recreated by “knitting” a single document. The output document can be HTML with an interactive table of contents, or Word or PDF formats. While we will be using it with the R language, Markdown commands apply to many other languages such as Python and SAS.
Recommended prerequisite: R: Basics workshop
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R: Statistics

In this hands-on previously recorded zoom workshop, you will learn to program common statistical analysis including frequency tables, descriptive statistics, chi-square, correlation, linear regression, t-tests, and analysis of variance with posthoc tests. This workshop takes approximately 2 hours to complete.
Recommended prerequisite: R: Basics workshop
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Begin this R: Statistics workshop

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SAS e-Learning

SAS offers a handful of Publicly available e-learning courses as well as a large library of how-to-tutorials. A SAS account is required for the e-learning courses.

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SAS: ODS Graphics

SAS is one of the most popular software packages for data analysis and visualization. The SAS Output Delivery System (ODS) Graphics procedures SGPLOT, SGPANEL, and SGSCATTER are powerful but easy-to-use tools for creating publication quality graphs and charts from your empirical data. This workshop is geared towards researchers who require publication quality graphics along with a working knowledge of the SAS software package. A recommended prerequisite for this course is the SAS: Basics workshop.  This workshop takes approximately 1 hour to complete. 
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SPSS: Basics

SPSS is a popular package for data analysis and graphics. This workshop shows you how to run basic statistical procedures and graphics in SPSS, as well as how to interpret the output. Topics include exploring your data to find errors, extreme values, and sparse categories; examining the distributions of continuous variables; measuring the association between two continuous variables; comparing two groups on categorial and continuous variables and where to go to learn more. This workshop takes approximately 1 hour and 15 minutes to complete.

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Emergency Preparedness at the University of Tennessee

Emergency preparedness training will help all employees prepare for the unexpected. Visualizing and practicing for the possibility of disaster – before it arrives – will enable us to think clearly, respond decisively, and ultimately save lives.
Take the Emergency Preparedness Training training

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Information Security Awareness Training

Securing the Human is an online, computer-based security awareness and training program for UTK Faculty and Staff that provides the materials needed to engage in informative and efficient security training.
View IT Security Awareness Training Topics