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Glenn Johnson Instructional Designer Department of Statistics Penn State University Teaching Statistics Online: Understanding the Perspective of the Distant.

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Presentation on theme: "Glenn Johnson Instructional Designer Department of Statistics Penn State University Teaching Statistics Online: Understanding the Perspective of the Distant."— Presentation transcript:

1 Glenn Johnson Instructional Designer Department of Statistics Penn State University Teaching Statistics Online: Understanding the Perspective of the Distant Learner April, 2015

2 1999 - approached by the World Campus to develop the online version of STAT 500, Applied Statistics, a pre-requisite of the other graduate- level Applied Statistics courses. Spring of 2001 - began teaching STAT 500 online. Due to the positive experience we continued to develop more online courses. 2006 - received approval for the Graduate Certificate in Applied Statistics, admitting 16 online students in 2006-07. The certificate program has grown and admitted 326 students in 2012-13 for a total of 1,126 students since its inception. Summer of 2009 - full MAS program for online delivery. The first online MAS cohort began in the Spring 2010 semester with 9 students; since then 115 students applied to the program in 2012 and 143 students in 2013.

3 time enrollment Grad UG Online

4 Service Courses STAT 100 – Statistical Concepts and Reasoning STAT 200 – Elementary Statistics MAS Core Courses STAT 414 - Introduction to Probability Theory STAT 415 - Introduction to Mathematical Statistics STAT 501 - Regression Methods STAT 502 - Analysis of Variance and DOE STAT 580/581 - Statistical Consulting Practicum MAS Elective Courses STAT 464 - Applied Nonparametric Statistics STAT 480 - Introduction to SAS (1 credit) STAT 481 - Intermediate SAS (1 credit) STAT 482 - Advanced Topics in SAS (1 credit) STAT 497C - Topics in R Statistical Language STAT 500 - Applied Statistics STAT 503 - Design of Experiments STAT 504 - Analysis of Discrete Data STAT 505 - Applied Multivariate Statistical Analysis STAT 506 - Sampling Theory and Methods STAT 507 - Epidemiological Research Methods STAT 509 - Design and Analysis of Clinical Trials STAT 510 - Applied Time Series Analysis STAT 897D - Applied Data Mining I

5 Penn State’s World Campus Registration Marketing / Administration Technical Support / Proctor Support Information Technology Services (ITS) Storage (PASS, Box) Course Management System (ANGEL / Canvas?) Teaching and Learning with Technology (TLT) Communication Tools (Adobe Connect) Training / ID Support Department Development Support Teaching Assignments

6 Walther’s Social Information Processing Theory Images from wisegeek.com, wikipedia, wikimedia commons

7 Foundational Components Syllabus – the overall plan for the course. Content - What are the topics that you plan to cover? What might this content look like? Assessments - What is it that you want you students to know and/or be able to do? How will you know if they get there? Interaction - Mechanisms that you can use along the way so that you and your students know you are on the right track.

8 Required by the University, College or Department Recommended Online Specific Setting and Managing Expectations!

9 A balancing investments in Technology ID / Technology Support Course Author Time Lecture Capture w/ Powerpoint Mix of narrative, images, and formulas augmented by short video segments. Accessibility

10 Process 1)Review the Learning Objectives 2)Review the Program Goals 3)Write the Final Exam First! Issues # and Types of Assignments, Weights & Distribution? Proctored Exams? Students are more likely to cheat when: -a great deal is riding on the outcome, -students care about performing to earn some external reward, and -when they don’t believe they have a good shot at succeeding through legitimate effort. Miller, Minds Online Students are more likely to cheat when: -a great deal is riding on the outcome, -students care about performing to earn some external reward, and -when they don’t believe they have a good shot at succeeding through legitimate effort. Miller, Minds Online

11 Discussion Presentation of Material Feedback Examples, Examples, Examples! Rollover / Pop-ups? Animate? Announcements Office Hours A ttention – R elevance – C onfidence - S uccess John KellerMotivational Design

12 MathJax / LaTeX Examples: Drupal, Piazza Annotation Apps ShowMe ExplainEverything Doceri (+ remote control) Screencasting Jing Inline Grading Canvas, Blackboard Communication / Presentation Tools Adobe Connect Zoom “Good teaching is good teaching, regardless of the technology.” Michelle Miller, Minds Online

13 Glenn Johnson – gfj100@psu.edu Department of Statistics Penn State University


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