Matching cognitive styles to computer-based instruction : an approach for enhanced learning in electrical engineering

An approach aimed at enhancing learning by matching individual students' preferred cognitive styles to computer-based instructional (CBI) material is presented. This approach was used in teaching some components of a third-year unit in an electrical engineering course at the Queensland University of Technology. Cognitive style characteristics of perceiving and processing information were considered. The bimodal nature of cognitive styles (analytic/imager, analytic/verbalizer, wholist/imager and wholist/verbalizer) was examined in order to assess the full ramification of cognitive styles on learning. In a quasi-experimental format, students' cognitive styles were analysed by cognitive style analysis (CSA) software. On the basis of the CSA results the system defaulted students to either matched or mismatched CBI material. The consistently better performance by the matched group suggests potential for further investigations where the limitations cited in this paper are eliminated. Analysing the differences between cognitive styles on individual test tasks also suggests that certain test tasks may better suit certain cognitive styles.

Making PBL teams successful : a study on student diversity in a first year electrical engineering programme

Problem based learning (PBL) is a group learning environment that involves a radical change in the way students learn and the role that academic staff play in facilitating learning. The PBL approach claims to build extended technological and social understandings as it offers a context for development of autonomous learners. It has an emphasis on collective and individual learning motivation and decision-making behaviours.

In this paper, we present the responses of students to the heterogeneous characteristic of PBL teams in a first year electrical engineering degree course at an Australian University. The learning cultures in PBL teams that emerge as a result of the diverse characteristics of teams are also presented in this paper.

A number of PBL teams were observed and interviewed throughout their first year course with their consent. Analysis of the data collected about students’ learning and outcomes in PBL teams informed the ways in which individual students approach their learning, the ways in which they control, regulate and direct their learning individually and as a group and the extent to which they participate, engage and thereby learn in the course.

It is evident that some students have a strong influence on the behaviour of other students in their team. These students also influenced what is learnt as a team, the ways in which they interrelated, worked as a team and problem solved in changing circumstances. Therefore, when designing student teams for PBL academics should not assume that a mono-cultural group or a mixed-ability group of students will work successfully together. We think that the results of this research inform both the design of PBL courses and the facilitation of PBL groups to accomplish successful group learning outcomes.

Integrated engineering workstations in electrical engineering laboratories

This paper provides a description of integrated engineering workstations (IEW’s) used in undergraduate electrical engineering laboratories. The IEW’s are used for the design, analysis, and testing of engineering systems. Examples of laboratory experiments and software programs are presented.

A project-oriented course in probability and statistics for undergraduate electrical engineering students

An introductory course in probability and statistics for third-year and fourth-year electrical engineering students is described. The course is centered around several computer-based projects that are designed to achieve two objectives. First, the projects illustrate the course topics and provide hands-on experience for the students. The second and equally important objective of the projects is to convey the relevance and usefulness of probability and statistics to practical problems that undergraduate students can appreciate. The benefit of this course as to motivate electrical engineering students to excel in the study of probability concepts, instead of viewing the subject as one more course requirement toward graduation. The authors co-teach the course, and MATLAB is used for mast of the computer-based projects

Un análisis de la movilidad de los investigadores universitarios : caso "Electrical Engineering" en el mundo

En el presente trabajo se ha intentado obtener una visión, lo más exacta posible, de cuál ha sido el currículo académico seguido por los miembros de algunas de las universidades más prestigiosas en todo el mundo. Para ello se han tomado 36 centros, todos ellos impartiendo la misma titulación de "Electrical Engineering", situados entre los 50 más importantes del mundo.

Students at University of Michigan do research in the electrical engineering laboratory in the College of Engineering

Shown recording data are, left to right, John P. Vajda, Milwaukee WI, and James A. Lovell, Grand Rapids, MI. graduate students in electrical engineering.

Electrical Engineering Laboratory

l-r John P. Vajda, James A. Lovell grad students