Teaching Statistics Online: Approaches, Strategies and Technologies

Thursday, August 27th, 3 - 4:30 pm ET

[Please Note: This session has already occurred.  Go to the News Story for this event to read about and to access a recording and speaker slides from the session.]

The impact of the COVID-19 pandemic has reached all aspects of our lives both personal and professional.  As teachers, this has catapulted us into teaching methods and approaches that are perhaps unfamiliar territory.  How can we make the best of this situation bring the most value to our new teaching requirements?  For instance, what’s the biggest difference between teaching online and in-person that instructors need to be aware of when preparing to teach?  And, what is our role in maintaining academic integrity?  And, with all the technologies available today – where do you start?

What are the key things that we need to know or plan for?

The NISS Affiliates committee is bringing together three experienced experts in teaching statistics online to provide their advice, strategies, methods, and a review of helpful technologies.

John Haubrick, instructional designer and Assistant Teaching Professor at Penn State University, will focus on the challenges and opportunities for handling larger classes online and Kristin Lynn Sainani, Associate Professor from Stanford University, will focus on small or large classroom settings.  In particular, how do you put yourself into an average student’s shoes when preparing for classes?  Is there a technology and/or a mental checklist before I start teaching via Zoom.  How can we engage students in synchronous online sessions? Similarly, how do you stay connected to your students if you prefer asynchronous teaching?

Kristin Sainani (née Cobb) is an associate professor at Stanford University.  She teaches statistics and writing; works on statistical projects in sports medicine; and writes about health, science, and statistics for a range of audiences. She authored the health column Body News for Allure magazine for a decade. She is also the statistical editor for the journal Physical Medicine & Rehabilitation; and she authors a statistics column, Statistically Speaking, for this journal. She teaches the popular Massive Open Online Course (MOOC) Writing in the Sciences on Coursera, and also offers an online medical statistics certificate program through the Stanford Center for Professional Development. She was the recipient of the 2018 Biosciences Award for Excellence in Graduate Teaching at Stanford University. She teaches all her Stanford courses in a flipped classroom format.  

Melinda Clardy, Assistant Professor of Mathematics from South Louisiana Community College, will focus mostly on assessments and maintaining academic integrity side of things.  For instance, what kind of assessments work best for which classes? How can we encourage students to maintain academic integrity?  How often should we require assignments or exams?

If you are getting ready to teach your Fall classes online, remotely, mixed-mode or even “mask-to-mask” – this is a session that you will not want to miss!

Register Today!

Presentation Titles  Beginning 3 pm Eastern Time [noon Pacific Time]

15:00 --15:05 ET   Esra Kurum (UC Riverside)   

           Welcome and Instructions

15:05--15:25 ET    John Haubrick (Penn State University)

"Leverage technology to make large online classes feel small"

15:25--15:45 ET    Kristin Lynn Sainani (Stanford University)

"Making the jump to online and remote teaching: tips and tools"

15:45--16:05 ET     Melinda Clardy (South Louisiana Community College)

"Striving to Be Tough but Fair - Tips to help you find your balance between building a rigorous course and a good working relationship with your students"

16:05--16:30 ET  Esra Kurum   Q & A
 

Free and open to the public as part of NISS's service to the statistical community.


Agenda

About the Speakers

John Haubrick (Penn State University)

John is an instructional designer and assistant teaching professor for the Penn State Department of Statistics where along with teaching he also supports the teaching and design of the online statistics courses. Prior to joining the statistics department, he was an instructional designer with Penn State's World Campus. Throughout his career, John has taught face-to-face, hybrid, and online in both the high school and collegiate levels.

Kristin Sainani (Stanford University)

Kristin Sainani (née Cobb) is an associate professor at Stanford University. She teaches statistics and writing; works on statistical projects in sports medicine; and writes about health, science and statistics for a range of audiences. She authored the health column Body News for Allure magazine for a decade. She is also the statistical editor for the journal Physical Medicine & Rehabilitation; and she authors a statistics column, Statistically Speaking, for this journal. She teaches the popular Massive Open Online Course (MOOC) Writing in the Sciences on Coursera, and also offers an online medical statistics certificate program through the Stanford Center for Professional Development. She was the recipient of the 2018 Biosciences Award for Excellence in Graduate Teaching at Stanford University. She teaches all her Stanford courses in a flipped classroom format.   

Melinda Clardy (South Louisiana Community College), 

Melinda Clardy is an assistant professor of Mathematics at South Louisiana Community College (SLCC) where she has worked for almost five years.  As an online course lead, she has been part of the founding moments of the ever-growing online instructor group at SLCC.  Also, as a member and then chair of the Academic Standards Committee, she is a long-time advocate for strict policy and procedure surrounding academic integrity.

Event Type

Host

National Institute of Statistical Sciences

Cost

FREE! Supported by your Affiliate fee.

Location

Online Webinar
Moderator: Esra Kurum (University of California, Riverside) Speakers: John Haubrick (Penn State University), Kristin Lynn Sainani (Stanford University) and Melinda Clardy (South Louisiana Community College).