Research Tools

From Designing Education Lab

Jump to: navigation, search


Lab Meeting Time

Spring Quarter 2014 - Lab Meeting Tuesdays, 11:00am - 1:00pm

Center for Design Research (Building 560), 2nd Floor and via Google Hangout (mfschar)

Linear Regression Modeling and the YES Data Set

Qu Jin led a discussion of the statistical tool called Linear Regression using data from the YES survey to illustrate the power of this technique.


Peggy Boylan-Ashraf introduced the focus of her research as "Introductory Fundamental Engineering Mechanics" or IFEM classes. Her work illustrates the positive effect curricula changes can have on the academic career of engineering students. Qu Jin led a discussion of the statistical tool called ANOVA or Analysis of Variance using data from the YES survey to illustrate the power of this technique.

Research versus Evaluation

Helen Chen, our senior researcher in the Designing Education Lab presented on the topic of the simularities and differences between research activity and evaluation activity - research produces generalizable knowledge while evaluation judges merit or worth. Evaluation is an improtant activity within any NSF-funded research. Helen also referenced the NSF produced handbook on evalaution as a good source for information.

Prototyping and the University Community

Julian Weinmann presented his Masterthesis work on prototyping within a univeristy community. Julian is a visiting scholar from the Technical University of Munich (TUM) who is investigating how the Stanford community uses prototyping and the implications of a new TechShop sponsored prototyping facility on the TUM campus. As reference, we suggested that Julian review Micah Lande's PhD dissertation on the role of prototyping in the development of "designerly thinking."

Launching a MOOC

Kathryn Jablokow, visiting scholar and professor at Penn State University, discussed her recent experience with a massive, on-line open course (MOOC) on creativity and innovation. With 150,000 registered students, it was a learning experince on a grand scale!

Theory-Based Research and Finding a Faculty Job

Samantha Brunhaver, a doctoral candidate in DEL, provided an overview of theory-based research and a helpful comparison between the Social Cognitive Career Theory (SCCT) model and Expectancy X Value Theory as guides for how to use theories and models in reasearch. As a special bonus, Sam shared thoughts and perspective on her journey toward a faculty position.

Learning Models

Jan Behrenbeck and Mark Schar presented perspcetives on learning models. Jan provided an overview of this Bachelorthesis work including a neurological perspective on learning as well as early comparisons of the TUM and Stanford learning models. Mark spoke about classic learning models and focused on two that are part of the lab's recent NSF proposal - Kolb's Learning Style Inventory and Baron-Cohen's E-S Theory.

Alumni Survey Techniques

Daniel Weiss, a visitng scholar in DEL, discussed entreprenurship research conducted by Stanford Univeristy professor Chuck Eesley that used a sample of Stanford University alumni.

Effect Size and P-Value

Qu Jin, a Postdoctoral scholar in DEL, provided helpful perspective on the use of Effect Size and P-Values in social science research.

Qu's Presentation

Anscombe's Quartert

Conference Poster Preparation

Here is a list of helpful sites full of useful tips for the design and production of a conference poster.

Personal tools