P150: Use of water quality tests as a foundation for a more inquiry-based general chemistry laboratory

Author: Justin M. Shorb, Hope College, USA

Co-Author: Clyde Joseph, Micadel Hazell, Lorne Joseph and Keturah Bethel, University of the Virgin Islands, US Virgin Islands

Date: 8/4/14

Time: 12:10 PM12:30 PM

Room: MAN 123

Related Symposium: S8

A small university in the Caribbean with a large proportion of under-prepared freshman students has taught general chemistry laboratory for many years using standard cookbook-like laboratory exercises which are known to be less useful for knowledge retention and for motivating students. Research has shown that giving students the opportunity to generate their own procedures improves the ability for students to think creatively and retain information longer. For this project, a set of water quality tests were used as a foundation to design new laboratory exercises for general chemistry labs. The choice to incorporate water quality testing was decided based on the ubiquitous appeal of water quality measurements have within our island territory. This also is geared toward the large enrolment of Marine Biology majors. An iterative design will be presented for designing new labs, current laboratory innovations will be shown, and assessment and design rubrics will be discussed.

P90: Using eye-tracking to determine student reading patterns of multiple representations: Development of a novel time-sensitive principal component analysis (PCA/Eigenvector) approach

Author: Justin M. Shorb, Hope College, USA

Co-Author: Murchtricia Charles and Chantel Ible, University of the Virgin Islands, US Virgin Islands; John W. Moore, University of Wisconsin Ð Madison, USA

Date: 8/3/14

Time: 4:40 PM5:00 PM

Room: LTT 103

Related Symposium: S13

Over the years, eye-tracking has proven to be an essential resource for Human- Computer Interaction Researchers around the globe. Eye-tracking is a technique where a subject’s eye movement can be measured in order to locate of his or her point of interest at any given time. Additionally, it allows researchers to observe the sequence in which the subject is looking from one location to another. This in return can permit observers to determine whether or not the movement of one’s eye can be used to indirectly study the cognitive responsiveness of a student. The overarching goal of this study is to utilize eye-tracking to determine whether Chemistry students have the ability to make conceptual connections between different representations of the same Chemistry information. Making use of microscopic, macroscopic and symbolic representations, we would be able to observe the variations in attention which the student give various representations to determine their understanding of the relationship between them. A novel approach to analyzing eye-tracking data will be discussed along with preliminary data showing how relational connections can be extracted from eye-tracking sequences to highlight differences in viewing patterns between different readers. This analysis is done using eigenvalue/eigenvector decomposition, also known as Factor Analysis or Principal Component Analysis.