Title

A Comparison of Blended Approaches and Lessons Learned in Applied Statistics

Streaming Media

Submission Type

Event

Abstract

Many of the courses developed as part of the Next Generation Learning Challenges blended learning study focused on mathematics and statistics. In this session, three faculty members who developed courses in applied statistics will give an overview of their goals for these courses, the methods and materials they used, and their experiences, giving us a chance to compare and discuss how blended learning worked in the same subject across several different educational settings.

Qin Lu, an associate professor of mathematics, used a blended approach to flip MATH186: Applied Statistics, an introductory-level mathematics course inspired by Passion-Driven Statistics approach used at Wesleyan College. Lora Kasselman, an assistant professor of psychology, adopted blended learning for APS925: Quantative Analysis, to support adult learners in Lafayette’s accelerated psychology program, who needed different levels of SPSS practice. Anjali Thapar, a professor of psychology at Bryn Mawr College, experimented with developing SPSS exercises for OLI’s Statistical Reasoning courseware, as a resource for a blended, flipped approach to PSYC205: Experimental Methods and Statistics.

Location

Thomas 110

Start Date

5-20-2013 4:00 PM

End Date

5-20-2013 5:00 PM

Comments

Qin Lu is an associate professor of mathematics at Lafayette College. She received a PhD from Ohio State University, and specializes in financial mathematics and algebraic topology.

Lora Kasselman is an assistant professor of psychology in the Accelerated Degree Program at Albright College. Before joining the faculty, she received a PhD in psychology from the City University of New York and held a post-doctoral fellowship in Neural and Behavioral Sciences at the Penn State College of Medicine.

Anjali Thapar is a professor of Psychology at Bryn Mawr College. She received her PhD in psychology from Case Western Reserve University, and her research focuses on gender, aging, and cognitive ability.

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May 20th, 4:00 PM May 20th, 5:00 PM

A Comparison of Blended Approaches and Lessons Learned in Applied Statistics

Thomas 110

Many of the courses developed as part of the Next Generation Learning Challenges blended learning study focused on mathematics and statistics. In this session, three faculty members who developed courses in applied statistics will give an overview of their goals for these courses, the methods and materials they used, and their experiences, giving us a chance to compare and discuss how blended learning worked in the same subject across several different educational settings.

Qin Lu, an associate professor of mathematics, used a blended approach to flip MATH186: Applied Statistics, an introductory-level mathematics course inspired by Passion-Driven Statistics approach used at Wesleyan College. Lora Kasselman, an assistant professor of psychology, adopted blended learning for APS925: Quantative Analysis, to support adult learners in Lafayette’s accelerated psychology program, who needed different levels of SPSS practice. Anjali Thapar, a professor of psychology at Bryn Mawr College, experimented with developing SPSS exercises for OLI’s Statistical Reasoning courseware, as a resource for a blended, flipped approach to PSYC205: Experimental Methods and Statistics.