from SASTRA University, India. She is currently a M.S. candidate in the School of Industrial and Systems Engineering at The University of Oklahoma. Madhumitha is always excited about school and looks to other motivated students to share her learning with them. Looking forward for a career in academia, she developed an interest for engineering education. Her recent research on engineering ethics, peer-to-peer learning in the design process has helped her identify the effective approaches to educate engineering students, in order to meet the demands of their profession. She will be starting her PhD in the fall of 2015 at The University of Oklahoma.Dr. Diana Bairaktarova, University of Oklahoma, Norman, OK Dr. Diana Bairaktarova is an Assistant Professor of Engineering Practice in the College of Engineering at University of Oklahoma. Through real-world engineering applications, Dr. Bairaktarova's experiential learning research spans from engineering to psychology to learning sciences, as she uncovers how individual performance is influenced by aptitudes, spatial skills, personal interests and direct manipulation of mechanical objects.
Dr. Anna Woodcock, California State University San MarcosAnna Woodcock is a social psychologist and faculty member at the California State University San Marcos. She is currently investigating: individual differences in motivations to pursue science, technology, engineering, and mathematics (STEM) careers; the psychological processes underlying the underrepresentation of women and minorities in STEM; and models for teaching and understanding ethical decisionmaking.
Mr. Othman Mohammed Bawareth Mr, University of Oklahoma c American Society for Engineering Education, 2015Page 26.544.1
An Exploratory Study To Predict Ethical Awareness using Linguistics Inquiry and Word Count AbstractLinguistic Inquiry and Word Count (LIWC) is a computerized text analysis program, which quantifies the frequency of different categories of words used in texts, emails, social media, etc. Linguistic analysis is widely used to predict personality, health and deception. This motivated us to do an exploratory study to investigate if the linguistic cues are the predictors of ethical awareness. In this study we have employed the free online version of LIWC to analyze the answers to the ethical vignettes. Pearson correlation coefficient was calculated, to study the association between four LIWC categories (self-reference words, social words, positive emotion words, and negative emotion words) and ethical awareness. There was a negative association between positive emotion words and ethical awareness. This association was expected, as many positive emotion words are not used to write about ethical breach. In our future study we aim to validate the usefulness of LIWC in predicting ethical awareness, by employing all the 74 LIWC categories to identify the ideal predictors of ethical awareness of a larger sample.