Learning from Computers: Mathematics Education and Technology

The NATO Advanced Research Workshop on Mathematics Education and Technology was held in Villard-de-Lans, France, between May 6 and 11, 1993. Organised on the initiative of the BaCoMET (Basic Components of Mathematics Education for Teachers) group (Christiansen, Howson and Otte 1986; Bishop, Mellin-O...

Full description

Bibliographic Details
Other Authors: Keitel-Kreidt, Christine (Editor), Ruthven, Kenneth (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1993, 1993
Edition:1st ed. 1993
Series:NATO ASI Subseries F:, Computer and Systems Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 3. The Computer as Part of the Learning Environment: The Case of Geometry
  • 3.1 The dual nature of geometrical figures
  • 3.2 Difficulties of students
  • 3.3 The notion of geometric figure as mediated by the computer
  • 3.4 Changes brought by computers to the relationship to the figure
  • 3.5 Interactions between student and software
  • 4. Software Tools and Mathematics Education: The Case of Statistics
  • 4.1 Didactical transposition and software tools
  • 4.2 The revolution in statistics
  • 4.3 Graphical and interactive data analysis: an example
  • 4.4 Making sense of statistical software tools
  • 4.5 Statistics education
  • 4.6 Statistics and a re-defined school mathematics
  • 5. Didactic Design of Computer-based Learning Environments
  • 5.1 Understanding mathematics and the use of computers
  • 5.2 Designing QuadFun - A case description
  • 5.3 Interlude: Experimental aspects of mathematics
  • 5.4 Design issues
  • 5.5 A systemic view of didactic design
  • 11.9 Reflecting on computers in the classroom: Hardware-software-be(a)ware
  • 12. Towards a Social Theory of Mathematical Knowledge
  • 12.1 The Mechanistic Age - a historical introduction
  • 12.2 Mathematical and social individuation
  • 12.3 How can we master technology?
  • 12.4 Engineers versus mathematicians since the turn of the century
  • References
  • Software
  • 9. Computers and Curriculum Change in Mathematics
  • 9.1 Locating the curriculum
  • 9.2 Curriculum change as institutional change
  • 9.3 Redefining school mathematics
  • 9.4 Planning curriculum change
  • 9.5 Alternative scenarios
  • 10. On Determining New Goals for Mathematical Education
  • 10.1 Goals for mathematics education
  • 10.2 Goals for mathematics learners
  • 10.3 Role of the teacher and the educational institution
  • 10.4 Needed research on goals in mathematics education
  • 11. Beyond the Tunnel Vision: Analysing the Relationship Between Mathematics, Society and Technology
  • 11.1 Setting the stage
  • 11.2 Technology in society
  • 11.3 Mathematics shaping society?
  • 11.4 Living (together) with abstractions
  • 11.5 Mathematical technology as social structures
  • 11.6 Structural problems in an abstraction society
  • 11.7 Mathematics education as a social enterprise
  • 11.8 Mathematics education as a democratic forum
  • 1. Microworlds/Schoolworlds: The Transformation of an Innovation
  • 1.1 The story of microworlds
  • 1.2 The genesis
  • 1.3 From designers to mathematics educators
  • 1.4 Generating mathematics through microworlds: some illustrations
  • 1.5 Evocative computational objects and situated abstractions
  • 1.6 Microworlds in school mathematics
  • 1.7 Microworlds in the curriculum
  • 1.8 Reflections and implications
  • 2. Computer Algebra Systems as Cognitive Technologies: Implication for the Practice of Mathematics Education
  • 2.1 CAS: Some examples of symbol manipulations
  • 2.2 Computers and computer algebras in relation to pure mathematics
  • 2.3 Computer Algebra Systems in relation to mathematics education
  • 2.4 Opposition to instructional uses of Computer Algebra Systems
  • 2.5 Strengths of Computer Algebra Systems as learning tools
  • 2.6 Computer algebra in an educational context: One example
  • 2.7 CAS: From amplifiers to reorganisers
  • 6. Artificial Intelligence and Real Teaching
  • 6.1 Didactical interaction revisited
  • 6.2 The input of artificial intelligence
  • 6.3 Student-computer interaction, an overview
  • 6.4 Educational software in the classroom, a new complexity
  • 6.5 Open questions for future practice
  • 7. Computer Use and Views of the Mind
  • 7.1 The notion of cognition
  • 7.2 Cognitive reorganization by using tools
  • 7.3 Cognitive models and concreteness of thinking
  • 7.4 Situated thinking and distributed cognition
  • 7.5 The computer as a medium for prototypes
  • 7.6 Modularity of thought
  • 7.7 Conclusion
  • 8. Technology and the Rationalisation of Teaching
  • 8.1 The rationalisation of social practice
  • 8.2 The elusive rationality of teaching
  • 8.3 The marginal impact of machines on teaching
  • 8.4 The dynamics of pedagogical change
  • 8.5 The programming microworld
  • 8.6 The tutoring system
  • 8.7 The computer and the rationalisation of teaching