Time: Thursday, February 19, 2009 10:15-11:15am
Locaion: Boardroom 2, the Nittany Lion Inn
Presented by: David Wolf, Department of Mechanical Engineering, Penn State Univ.
The demonstration will begin with an introduction to a trade space and ATSV. This introduction will utilize vehicle data to demonstrate the visualization capabilities within ATSV including glyph plots, histogram plots, parallel coordinates, and scatter matrices. Brushing and preference controls will then be used to indicate a user’s preferences, and a final ‘best’ car design will be determined. This portion can be interactive with the audience or use the presenter’s preferences to determine the best design. Throughout this introductory demonstration there will be an emphasis on tradeoff identification and allowing the user to ‘shop’ for the best design, thus distinguishing trade space exploration from traditional optimization techniques.
Next, the visual steering capabilities of ATSV will be demonstrated through a large scale design problem with multiple design variables, objectives, and constraints (either an aircraft wing design problem or a vehicle configuration design problem). New designs will be generated in real time as the user utilizes the visualization tools demonstrated in the introduction problem. Visual steering commands such as a basic sampler, attractor sampler, preference sampler, and pareto sampler will be demonstrated. Participants will gain an understanding of the characteristics of a trade space and learn the utility of using a tool such as ATSV for trade space exploration.
Time: Thursday, February 19, 2009 10:15-11:15
Locaion: Boardroom 2, the Nittany Lion Inn
Presented by: Khusro Kidwai, Department of Learning and Performance Systems, Penn State Univ.
Why are some people able to read better, and learn more from what they read than others?
This question has motivated the design of a Web-based learning environment that allows readers
to apply a repertoire of reading comprehension strategies on texts that they read in the learning
environment. Some of the strategies designed in the learning environment include: (1) Textmacrostructure
strategy: Readers are able to chunk the original text into smaller sections; (2)
Note-taking strategy: Readers can take notes; (3) Summarization strategy: Readers are prompted
to write a short summary for each section that they create; (4) Reading self-assessment strategy:
Readers are prompted to mark on a scale of 1-10 how comfortable they feel with each section of
the text.
The choice of strategies and the design of the learning environment are informed by Kintsch's
Construction-Integration model, social learning theory, and theories in human computer
interaction.
The learning environment design makes use of many of the affordances of cutting-edge Web 2.0
technologies.
Time: Friday, February 20, 2009 4:30-5:30
Locaion: Assembly Room, the Nittany Lion Inn
Presented by: Chulapol Thanomsing, Department of Learning and Performance Systems, Penn State Univ.
In a competitive job market, employers are looking for a candidate who stands out from
other potential candidates. An electronic resume and portfolio (such in PDF or website)
has been in the job market for years. PDF resume and e-portfolio are now considered
traditional format for job hunters. In this demonstration, I will demonstrate how video
technology (some call “Visume”) can help you to create and differentiate your resume as
well as e-portfolio from others. Various features in Adobe Acrobat will also be
introduced to help you make your PDF resume unique.
Time: Friday, February 20, 2009 4:30-5:30 p.m
Locaion: Assembly Room, the Nittany Lion Inn
Presented by: Heidi C. Webb, IST, Penn State Univ.
Alice is a 3D Interactive programming environment that is available for no-charge at www.alice.org . It provides a programming environment that engages students and is used at many colleges around the country in first year programming courses. However, in the last few years it has been used in interdisciplinary courses and outreach programs, to include summer programs and recruiting efforts to attract women and underrepresented groups into computer science. This demo will highlight just a fraction of the projects and research that is being done with Alice. If time permits it will also include tips on what to consider when incorporating Alice into a course or program.
