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. A recommended prerequisite for this course is the R: Basics workshop.

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. This workshop takes approximately 2 hours to complete. A recommended prerequisite for this course is the R: R: Basics workshop.

Designing for accessibility is the process of proactively creating materials that are usable by the full range of potential end users. This often means making sure that materials and communications can be accessed, perceived, used, and understood by people who use different interfaces or tools, and/or who have relevant disabilities. Designing for accessibility almost always benefits many people including those who do not have relevant disabilities.

Here at the University of Tennessee, our policy is to ensure that all learning materials are accessible. This course introduces some best practices that you can begin applying immediately to ensure accessibility and usability of learning materials and communications.

You will learn how to:

• create accessible documents and PowerPoint presentations
• identify tools and resources for closed captioning
• use the Read&Write software, for which UT Knoxville has a site license
.

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 takes approximately 1 hour and 30 minutes to complete.

Basic statistical concepts are fundamental to understanding more in-depth analysis 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.

Putting your final 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 tests and assessments, and facilitating feedback effectively.

This self-paced training resource introduces you to the Canvas Folio (Portfolium) Network, that can be accessed in Online@UT (Canvas), and provides you with materials to get you started building your Folio.

You will learn how to:

• navigate a Canvas Folio
• customize a Folio profile
• build and promote a Folio
• network using a Folio
• access resources to help you build your portfolio.

This self-paced Canvas Training workshop aims to equip instructors and staff with Canvas' need-to-know tools and features, so they are better prepared to jump-start their course design and delivery at The University of Tennessee, Knoxville.

Participants who complete this workshop will be able to:

• Identify and apply options for organizing course content via the homepage, modules, and course navigation.
• Create course-related activities using assignments, discussions, and quizzes.
• Identify assessment options using the SpeedGrader and Grading tools.
• Recognize ways to manage enrollment and online instructor presence using the messaging system (inbox), user settings (including profile and notification preferences), and groups.

This resource will equip you with the tools and knowledge to pose response-driven questions in real-time during your course instruction. You can use PointSolutions to ask and receive responses in face-to-face or online classes. This response system also allows you to sync the responses to Canvas for class participation scores or quizzes.

Using this resource will help you to:

• Set up your Canvas course for using clickers (or mobile responses)
• Create questions in PowerPoint using PointSolutions
• Create Anywhere Polling (including Ad Hoc questions or planned questions using a web interface)
• Create self-paced quizzes (participants answer at their own pace) or scheduled quizzes
• Sync grades to Canvas.

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.

OneNote is a Microsoft application designed for taking notes and gathering information on any device. In this self-paced course, you will learn how to use OneNote to take notes more efficiently, collaborate on note taking, and more. We will dive into how to set up OneNote for your specific use, as well as give you the necessary steps for continued use of the program. This course will also give you tips and best practices.

You will learn how to:

• create and organize notes in OneNote
• export and share notes
• collaborate asyncronously and in real time
• work with tables in OneNotes
• add media objects, such as audio recordings and video, and Excel files to notes
• integrate OneNote with other Microsoft apps.

This self-paced course will give you the opportunity to learn about Universal Design for Learning (UDL). UDL advocates for accessible and inclusive instructional approaches that meet the needs and abilities of diverse learners. After completing this course, you will be able to design engaging, effective, and accessible courses using the Canvas features and other technology tools.

Learning outcomes

• Define the main concepts of UDL
• Identify a three-step process for implementing the UDL principles in designing and developing instruction and assessment
• Utilize Canvas and other technology tools to design a flexible learning environment that presents instructional content and communication via alternate media and formats
• Identify strategies and tools for facilitating mastery-oriented feedback; learner organization, self-management, and study skills; and collaboration.

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.

Materia is a learning tool, available in Online@UT (Canvas), that allows you to easily embed engaging learning activities into your online courses. Materia learning apps, called widgets, can bring life to content modules, practice, study activities, and even assessments. Learn how to enable and use Materia in your Canvas course.

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.

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.

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, and 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.

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.

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.

In this course, you will learn how to use Open Educational Resources (OER) in your presentations and instructional content. OER are materials licensed for sharing by their creators.

After completing the course, you'll be able to:

• Explain the Creative Commons licenses
• Search for different types of OER, such as textbooks, instructional and learning materials, images, video and audio
• Identify resources and tools to modify and share OER
• Properly attribute and license OER
• Guide others in creating OER.

Panopto is a lecture capture tool that allows you to record, edit, share, and manage video content on the web and through Canvas. The platform is fully integrated with Canvas and Zoom.

The goal of this course is to provide you with the tools you need to successfully record your lecture, event, or other video using the Panopto lecture capture platform in the classroom, your office, or at home. Don't let the lecture capture moniker fool you - while it is meant to record lectures, you can use it for many other things like event capture, announcements, assignments, assessments, and meeting recordings.

We will begin with an overview of the platform and then dive into how to record, edit, share, and manage your video content. You will also learn how to use Panopto in the classroom. We will also cover Panopto's integration with Canvas and how to best share Panopto video content in your course.

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.

Note: All instructions are for PowerPoint in Microsoft 365 Subscription (Mac) or Microsoft 365 Apps (Windows). Other versions of PowerPoint, including the volume license installed by OIT on university-owned computers, may not have all of the features discussed. You can not record narration in the web version of PowerPoint Online. You must use a desktop version of the software downloaded from Microsoft 365.

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. This workshop takes approximately 1.5 hours to complete.

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.

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 graphics 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. A recommended prerequisite for this course is the R: Basics workshop.

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. A recommended prerequisite for this course is the R: Basics workshop.

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 how we can help with: Designing studies, experiments, and determining sample size; Create, deploy, and analyze web survey data; Provide co-authorship, and several other research related topics. In addition, we discuss the research software available on campus and how to get assistance.

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: Programming Basics workshop. This workshop takes approximately 1 hour to complete.

Proctorio is an automated remote proctoring service that integrates with Online@UT (Canvas). Proctorio enables instructors to utilize machine learning and facial detection technology to remotely proctor online assessment to help protect the academic integrity of test-takers. This course provides resources for UTK instructors and students on the use of Proctorio in their Canvas courses.

If you are new to Canvas, this self-paced tutorial will get you quickly up and running by implementing the Preparing to Launch course template, available in Online@UT (Canvas), and you'll benefit from the detailed instructions found in this tutorial. If you are already an experienced Canvas user, this tutorial will help you dig a bit deeper into the capabilities of Canvas and Zoom and to refresh your skills.

In this tutorial you'll learn how to:

• Create an inviting course Homepage.
• Employ a course template designed by OIT to help structure your course site.
• Upload course content to include recorded lectures, PowerPoints, links to external web resources and other materials.
• Create assignments that are automatically linked to the gradebook and the course calendar and establish a standard method for students to submit assignments.
• Create online assessments using the Canvas quiz tool, in which quiz questions and distractors can be randomized to create unique student attempts.
• Deliver live lectures and conduct office hours online in Zoom.