These are excerpts from the program for the Joint Mathematics Meetings, January 10-13, 1996, Orlando, Florida.

• Matrix-vector products geometrically: A versatile teaching tool.
  David R. Hill, Temple University
  David E. Zitarelli, Temple University
  
• A short course in linear algebra: A matrix approach using MATLAB.
  Lila Freeman Roberts, Georgia Southern University
  
• Using ATLAST software tools to visualize linear transformations.
  Steven J. Leon, University of Massachusetts at Dartmouth
  
• Pitch, roll and yaw.
  David W. Boyd, Valdosta State University
  Richard H. Elderkin, Pomona College
  
• A linear algebra project on circles in space.
  Carl C. Cowen, Purdue University, West Lafayette
  
• Geometry of the singular value decomposition.
  Thomas A. Hern, Bowling Green State University
  Kermit N. Sigmon, University of Florida
  
• Eigenvalues of the alphabet.
  Larry C. Grove, University of Arizona
  
• Coordinate systems and satellite tracking.
  Dan Kalman, American University
  
• Visualizing linear combinations.
  David E. Zitarelli, Temple University
  David R. Hill, Temple University
  
• Using MATLAB without killing the instructor.
  James R. Weaver, University of West Florida
  
• ATLAST experiences and their influence on teaching vector space concepts.
  Robert James Tilidetzke, Charleston Southern University
  
• Three MATLAB projects.
  Richard O. Hill, Jr., Michigan State University
  
• A national survey of linear algebra teaching.
  David C. Lay, University of Maryland, College Park
  
• Elementary linear algebra: Whom are we teaching and what are we trying to accomplish.
  Charles R. Johnson, College of William & Mary
  
• More linear algebra in the high school curriculum: A help or hindrance?
  A. Duane Porter, University of Wyoming
  
• Reviewing prerequisite material in second course linear algebra.
  David H. Carlson, San Diego State University
  
• Matrices in science and engineering.
  Gilbert Strang, Massachusetts Institute of Technology
  
• The use of portfolios in teaching linear algebra.
  Luz Maria DeAlba, Drake University
  
• Examples of group projects.
  Brian P. Hopkins, University of Washington
  
• Reforming linear algebra and its effects.
  Jeffrey D. Farmer, University of Northern Colorado
  Tabitha Young Mingus, University of Northern Colorado
  
• A computer-based linear algebra course emphasizing understanding of traditional concepts.
  Janet L. Beery, University of Redlands
  Alexander E. Koonce, University of Redlands
  
• Fractals and the geometry of linear transformations.
  James A. Walsh, Oberlin College
  
• Determinants of the tournaments.
  Arthur T. Benjamin, Harvey Mudd College
  Clifford A. McCarthy, Convex Supercomputers, Dallas, Texas
  
• Interactive linear algebra project.
  Elias Yacoub Deeba, University of Houston, Downtown
  Ananda D. Gunawardena, University of Houston, Downtown
  
• The linear algebra modules project.
  Eugene A. Herman, Grinnell College
  Michael D. Pepe, Seattle Central Community College
  Robert T. Moore, University of Washington
  James R. King, University of Washington
  
• Linear algebra as a laboratory course.
  Gerald J. Porter, University of Pennsylvania
  David R. Hill, Temple University
  
• Using Maple V in teaching linear algebra.
  Lisa O. Coulter, Stetson University
  
• Teaching of numerical linear algebra at undergraduate levels.
  Biswa Nath Datta, Northern Illinois University
  
• An algorithmic approach to linear algebra.
  Harold M. Edwards, New York University-Courant Institute
  
• Multigrid graph paper.
  Jean H. Bevis, Georgia State University
  
• Software independent problems in linear algebra; why and how.
  Melvin Henriksen, Harvey Mudd College
  
• Linear algebra: An interactive laboratory approach with Mathematica.
  John R. Wicks, North Park College
  
• Eigenvectors and axes of symmetry.
  Saeja Oh Kim, University of Massachusetts at Dartmouth
  
• Some psychological foundations of teaching linear algebra with MATLAB and ATLAST materials.
  Mikhail Bouniaev, Southern Utah University
  
• Visualizing linear transformations on the HP-48G.
  Thomas W. Polaski, Winthrop University
  
• Teaching abstract vector spaces with HP48G/GX.
  Hasan A. Celik, California State Polytech University, Pomona
  
• An averaging game with weights using Mathematica.
  Tilak Ananda De Alwis, Southeastern Louisiana University