Collection

2000 Annual Conference

Authors

Asad Yousuf

of the study conducted to explore the extent to which variablessuch as career self-efficacy beliefs, math-SAT scores, high school GPA and vocational interestcould predict the academic performance of the students enrolled in Computer Science andEngineering Technology programs.The participants (N=125) included in the statistical analyses consisted of 85 males and 40females. These participants completed measures of self-efficacy and expressed vocationalinterests in technical fields using a three-part instrument, referred to as the Science andEngineering Career questionnaire (SEC).The results of the study provides the information needed in the process of translating self-efficacy theory into a practical model/tool useful for counselors and

Collection

2000 Annual Conference

Authors

Mathias J. Sutton; Kathryne A. Newton; Duane D. Dunlap

. All of these characteristicsmay well act to support the graduate students in this program.However, further examination suggests that many of the learners in this program may need anextra degree of support from faculty. It has been shown that learners do not typically employcognitive strategies spontaneously, and that several factors may serve to inhibit their use: lowskill, learners’ low feelings of self-efficacy, learners’ lack of awareness of their own memory andprocessing characteristics, lack of knowledge of task characteristics, insufficient contentknowledge, and insufficient allocation of time 4. We believe many of the learners in the programare more likely to fit this description because approximately 10 years have lapsed since their

Collection

2000 Annual Conference

Authors

Linda M. Head; Zenaida O. Keil; Beena Sukumaran; Kauser Jahan

college Page 5.121.1planned to major in engineering and only 1 percent planned to enter technical fields (comparedto 11.8 and 5.4 percent of men, respectively) (National research Council, 1994). Some writershave begun to argue that science today is so antagonistic to women that it must be radicallychanged before women can comfortably participate in it [3].Most studies suggest that environmental and social influences are responsible for thisunderrepresentation of women. Environmental factors including masculinity and femininity,education, self-efficacy, female role models, and perceptions of engineering are considered to bethe major factors.A two

Collection

2000 Annual Conference

Authors

Hajrudin Pasic; Gregory G. Kremer; Bhavin V. Mehta

and user interfaceData: a) Incorporate data collection into the design of the IPS to measure usability, motivational impact, perceived effectiveness, etc. b) conduct observational and interview studiesEvaluation Type: Formative & Summative evaluations with respect to the goals, objectives and expected outcomesMeasure: a) programmatic retention rates (for all students, for women, and for minorities) b) student performance in the engineering mechanics courses c) performance in future engineering classes & the Fundamentals of Engineering exam d) content pre and post tests with a control group e) self-assessment ability, and self-efficacy