Teaching and Learning Technologies

By:
Dr. Carol Luckhardt Redfield
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Many teaching and training methods have been used over history. Technology presents a whole other view and set of methods and modalities for learning. Education most like started with storytelling and apprenticing to pass down history and teachings, moved on to the classroom with lecture and discussion, and to practical work of exercises, group projects, laboratory work and field trips. But, the most effective form of teaching for student learning is the one-on-one tutoring approach. Tutoring tends to be expensive by employing one person to teach one student at a time. However, computers have provided another avenue for offering tutoring in most any subject area. There are many ways to deploy instruction on a computer including stand-alone mode or over a network such as the Internet. Computer-based tutors can have some expertise or artificial intelligence in them, usually to model the student’s knowledge. Instruction can be presented in these intelligent tutoring systems, and even in a game environment. The environments for presenting instruction can have a range of fidelity from two dimensional, computer screen presentation to multidimensional virtual reality. Technological games can keep a student’s attention and be effective in learning. Pervasive and effective education in general can have a huge impact on society. For example, education may be the way out of poverty, one of Earth’s most costly conditions with links to hunger, war, violence and subjugation. Eradicating poverty is possible with new methods of teaching and learning if we can provide the infrastructure to deliver it.


Keywords: Teaching Technologies, Teaching Methods, Computer-based Instruction, Computer Tutors, Instructional Computer Games
Stream: Technology in Education
Presentation Type: Paper Presentation in English
Paper: Teaching and Learning Technologies


Dr. Carol Luckhardt Redfield

Associate Professor and Graduate Program Director, Computer Science Department, St. Mary's University
USA

Dr. Carol Luckhardt Redfield is an Associate Professor of Computer Science and Graduate Program Director for Computer Science at St. Mary's University in San Antonio, Texas. She started at St. Mary’s in 1998 after being in the computer industry for over 15 years. She has her Ph.D. from the University of Michigan in Computer Science and Engineering. Her thesis work was in artificial intelligence and game playing. She has two Master’s degrees, one in computers and the other in mathematics, and a Bachelor’s degree in education with double majors in mathematics and psychology. Dr. Redfield specializes in computer-based training, computer gaming, expert systems, and software engineering. She has worked for Bell Labs, IBM, Lawrence Livermore National Laboratories, Southwest Research Institute and Mei Technology where she helped design and develop an instructional authoring tool. She has chaired many international conferences, including the 10th annual International Space Development Conference, the 4th Intelligent Tutoring Systems conference, and the 2001 Artificial Intelligence in Education conference. She founded a charter school in San Antonio and was inducted into the San Antonio Women’s Hall of Fame in 1992. Dr. Redfield is the Internet Team Director for Landmark Education, and serves on committees for the National Space Society, San Antonio Space Society, and the San Antonio Society of Friends (Quakers). She is married and has two children.

Ref: T06P0058