EDUC 5848/MATH 5848 Technology and Mathematics Education

 

 

Faculty of Graduate Studies

Graduate Program in Education

Graduate Program in Mathematics and Statistics

Summer 2006 Course Outline

 

Course Director: Professor Margaret Sinclair

Office: 3159 TEL building                             Email: msinclair@edu.yorku.ca

Phone: 416 736 2100 (20344)

 

Dates and Time: Wednesdays, 6 p.m. to 9 p.m. April 12 – June 28. Note: there will be a class on May 31st – the CSSE conference will not be using the ERC lab that evening.

Location: ERC lab – TEL 3146

 

Expanded Course Description

This course will involve participants in examining the role of technology in the teaching and learning of mathematics. Selected readings, and experiences with technological applications of fundamental mathematics concepts will provide the basis for a critical analysis of central themes and issues.

 

Topics may include: impact of technology use on mathematics content and pedagogy; equity issues (e.g., access to technology); technology and its relationship to visual/kinesthetic learning in mathematics; collaboration and student talk in technology-supported mathematics classrooms; assessment of mathematics understanding stemming from/by means of technological tasks; technology as a mediating tool; evaluation of technological mathematics objects.

 

How class will be conducted:  We will be involved in discussing course readings and applications of a variety of technological applications related to mathematics teaching and learning; we will also engage in exploratory activities with technology. There will be individual and group presentations on topics related to the themes of the course.

 

Course Assignments (Evaluation):

Evaluation for the course will be based on Reading assignments – 30%, Participation – 25%, Presentation – 15%, and Research paper – 30%.

 

Required texts: None. A bibliography of recommended readings will be provided and particular articles for discussion will be chosen from a variety of sources.

 

 

Presentation of Submitted Work

Please use APA style for submitted papers.

-          Refer to the style guides found at:

 http://info.library.yorku.ca/depts/ref/refweb.htm

-         When citing internet-based sources, please refer to: http://info.library.yorku.ca/internet/citing.htm

 

Online Conference

There will be a conference set up on First Class. Please ensure that you are connected as soon as possible to receive articles, URL’s, and messages about the course.

Evaluation

 

A.    Short papers: Each participant will prepare 3, 3-4 page papers on articles chosen from a bibliography of course references, and be prepared to contribute to class discussions on the articles. (30%).

 

B.     Presentation: Individual or group presentation based on topics/issues discussed during the course (15%).

 

C.     Research paper. (30%) An academic paper (8-10 pages, including references, 12 point type, double spaced) on a course related topic. Papers can be based on the research used for the presentation. A one-page proposal for the paper is to be submitted on June 7th. Two students may collaborate on a paper. The length will then be 16-20 pages. Due date – July 5th

 

D.    Participation. (25%) Because class discussion and in-class activities are key components of this course, regular attendance and active participation are expected. To inform our discussions each participant will also prepare 5 written, 1 page contributions. These contributions can be in the form of:

a)      A descriptive commentary providing information on an article, book or website that is relevant to our discussion that week.

b)      A personal experience to inform the discussion.

c)      An example of a technological application that illustrates some facet of the week’s topic accompanied by a brief set of comments.

 

Bibliography

Books:

diSessa, A. (2000). Changing minds: Computers, learning and literacy. Cambridge, MA: The MIT Press.

King, J., & Schattschneider, D. (Eds.). (1997). Geometry turned on: Dynamic software in learning, teaching, and research. California: The Mathematical Association of America.

 

Focus Issue:

Learning and Teaching with Technology, (Feb 2002). Focus Issue: Teaching Children Mathematics, 8(6).

 

Articles and Chapters in Books:

*Ainley, J., Bills, L., & Wilson, K. (2005). Designing spreadsheet-based tasks for purposeful algebra. International Journal of Computers for Mathematical Learning, 10, 191-215.

Ainley, J., Barton, B., Jones, K., Pfannkuch, M., & Thomas, M. (2001). Is what you see what you get? Representations, metaphors and tools in mathematics didactics. Paper presented at the European Research in Mathematics Education II, Mariánské Lázne, Czech Republic.

Artigue, M. (2002). Learning mathematics in a CAS environment: The genesis of a reflection about instrumentation and the dialectics between technical and conceptual work. International Journal of Computers for Mathematical Learning, 7, 245-274.

Artigue, M. (2000). Instrumentation issues and the integration of computer technologies into secondary mathematics teaching. In Proceedings of the Annual Meeting of the GDM. Potsdam, 2000: Available at: http://webdoc.sub.gwdg.de/ebook/e/gdm/2000.

Cairncross, S., & Waugh, S. (2005). Involving preschoolers in design of interactive multimedia for learning: An activity-driven approach. In P. Kommers & G. Richards (Eds.), Proceedings of the ED-MEDIA 2005 Conference (World Conference on Educational Multimedia, Hypermedia, and Telecommunications), June 2005. (pp. 1117-1124). Montreal, Canada: AACE.

Chen, S., Frempong, G., & Cudmore, W. C. (2006). Gesture friendly Interfaces for classroom teaching with thinking tools. Paper presented at the World Computer Congress – 1st IFIP International Conference on Education for the 21st Century – Impact of ICT and Digital Resources, Santiago, Chile,  August 20-25.

Clements, D. H., & Sarama, J. (2002). The role of technology in early childhood learning. Teaching Children Mathematics, 8(6), 340-343.

*Clements, D. H. (2002). Computers in early childhood mathematics. Contemporary Issues in Early Childhood, 3(2), 161 - 181.

De Castell, S., & Jenson, J. (2003). Serious play: Curriculum for a post-talk era. Journal of the Canadian Association for Curriculum Studies, 1(1), 47-52.

Dietrich, C. H., Litchfield, D. C., & Goldenheim, D. A. (1997). Euclid, Fibonacci, Sketchpad. Mathematics Teacher, 90(1), 8-12.

*Drier, H. S., 6(6), 358-363. (2000). Investigating mathematics as a community of learners. Teaching Children Mathematics, Focus Issue: Children as Mathematicians, 6(6), 358-363.

Friedman, J. S., & diSessa, A. A. (1999). What students hsould know about technology: The case of scientific visualization. Journal of Science Education and Technology, 8(3), 175-195.

*Gadanidis, G., Sedig, K., & Liang, H.-N. (2004). Designing online mathematical investigation. Journal of Computers in Mathematics and Science Teaching, 23(3), 273-296.

Garofalo, J., Drier, H., Harper, S., Timmerman, M. A., & Shockey, T. (2000). Promoting appropriate uses of technology in mathematics teacher preparation. Contemporary Issues in Technology and Teacher Education, 1(1), 66-88.

*Goos, M., Galbraith, P., Renshaw, P., & Geiger, V. (2003). Perspectives on technology mediated learning in secondary school mathematics classrooms. Journal of Mathematical Behavior, 22, 73-89.

*Goos, M. (2005). A sociocultural analysis of the development of pre-service and beginning teachers' pedagogical identities as users of technology. Journal of Mathematics Teacher Education, 8, 35-59.

*Hadas, N., Hershkowitz, R., & Schwarz, B. B. (2000). The role of contradiction and uncertainty in promoting the need to prove in dynamic geometry environments. Educational Studies in Mathematics, 44(127-150).

Hadas, N., Hershkowitz, R., & Schwarz, B. B. (2002). Analyses of activity design in geometry in the light of student actions. Canadian Journal of Science, Mathematics and Technology Education, 2(4), 529-552.

*Healy, L., & Hoyles, C. (2001). Software tools for geometrical problem solving: Potentials and pitfalls. International Journal of Computers for Mathematical Learrning, 6, 235-256.

*Hegedus, S., & Kaput, J. J. (2002). Exploring the phenomenon of classroom connectivity. In D. Mewborn et al (Ed.), Proceedings of the 24th Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (Vol. 1, pp. 422-432).

*Hollebrands, K. F. (2003). High school students' understandings of geometric transformations in the context of a technological environment. Mathematical Behavior, 22, 55-72.

Hoyles, C., & Noss, R. (2003). What can digital technologies take from and bring to research in mathematics education? In A. J. Bishop, M. A. Clements, C. Keitel, J. Kilpatrick & F. K. S. Leung (Eds.), Second International Handbook of Mathematics Education (pp. 323-349). Dordrecht: Kluwer Academic Publishers.

Jones, K. (2000). Providing a foundation for deductive reasoning: Students' interpretations when using dynamic geometry software and their evolving mathematical explanations. Educational Studies in Mathematics, 44, 55-85.

*Kaput, J. J. (2004). Technology becoming infrastructural in mathematics (Plenary talk delivered at ICME 10). Copenhagen, Denmark, July 2004.

Kaput, J. (2000). Implications of the shift from isolated, expensive technology to connected, inexpensive, diverse and ubiquitous technologies. In M. O. J. Thomas (Ed.), Proceedings of the TIME 2000: An International Conference on Technology in Mathematics Education (pp. 1-24). Auckland, New Zealand: The University of Auckland and the Auckland University of  Technology.

*Laborde, C. (2001). Integration of technology in the design of geometry tasks with Cabri-Geometry. International Journal of Computers for Mathematical Learning, 6, 283-317.

Lester, J. (2000). Designing interactive mathematics. In W.-C. Yang, S.-C. Chu & J.-C. Chuan (Eds.), ATCM 2000, Proceedings of the Fifth Asian Technology Conference in Mathematics. Chiang Mai, Thailand.

*Monaghan, J. (2004). Teachers' activities in technology-based mathematics lessons. International Journal of Computers for Mathematical Learning, 9, 327-357.

*Page, M. S. (2002). Technology-enriched classrooms: Effects on students of low socioeconomic status. Journal of Research on Technology in Education, 34(4), 389-409.

Parnafes, O., & diSessa, A. A. (2004). Relations between types of reasoning and computational represetntations. International Journal of Computers for Mathematical Learning, 9, 251-280.

*Pijls, M., Dekker, R., & Van Hout-Wolters, B. (2003). Mathematical level raising through collaborative investigations with the computer. International Journal of Computers for Mathematical Learning, 8, 191-213.

*Radford, L., Demers, S., Guzman, J., & Cerulli, M. (2003). Calculators, graphs, gestures and the production of meaning. In N. A. Pateman, B. J. Dougherty & J. T. Zilliox (Eds.), Proceedings of the 27th Conference of the International Group for the Psychology of Mathematics Education held jointly with the 25th Conference of PME-NA (Vol. 4, pp. 55-62). Honolulu, HI.

*Ruthven, K. (1999). The pedagogy of calculator use. In I. Thompson (Ed.), Issues in Teaching Numeracy in Primary Schools (pp. 195-206). Philadelphia, PA: Open University Press.

Ruthven, K. (2002). Instrumenting mathematical activity: Reflections on key studies of the educational use of computer algebra systems. International Journal of Computers for Mathematical Learning, 7, 275-291.

Ruthven, K., Hennessy, S., & Deaney, R. (2005). Incorporating Internet resources into classroom practice: Pedagogical perspectives and strategies of secondary-school subject teachers. Computers and Education, 44, 1-34.

Sedig, K., Rowhani, S., Morey, J., & Liang, H.-N. (2003). Application of information visualization techniques to the design of a mathematical mindtool: a usability study. Information Visualization, 2, 142-159.

Sinclair, M. (2005) Using technology in the junior grades. OAME Gazette, 33(4), 30-34.

Sinclair, M. P. (2005) Peer Interactions in a lab: Reflections on results of a case study involving web-based dynamic geometry sketches. Journal of Mathematical Behavior 24(1), 89-107.

Sinclair, M.P. (2004). Complexity theory and the mathematics lab-classroom. Complicity: An International Journal of Complexity in Education, 1(1), 57-72.

Sinclair, M. (2004). Working with accurate representations: The case of pre-constructed dynamic geometry sketches, Journal of Computers in Mathematics and Science Teaching, 23(2), 191-208.

Sinclair, M. P. (2003). Some implications of the results of a case study for the design of pre-constructed, dynamic geometry sketches and accompanying materials. Educational Studies in Mathematics, 52 (3), 289 – 317.

Sinclair, M., de Bruyn, Y., Hanna, G., & Harrison, P. (2004). [Review] Cinderella and The Geometer's Sketchpad. Canadian Journal of Science, Mathematics and Technology Education, 4(3), 423-438.

*Sutherland, R., & Balacheff, N. (1999). Didactical complexity of computational environments for the learning of mathematics. International journal of computers for mathematical learning, 4, 1-26.

Sutherland, R., & Rojano, T. (1993). A Spreadsheet Approach to Solving Algebra Problems. Journal of Mathematical Behaviour, 12(4), 353-383.

*Zuccheri, L. (2003, Feb 28-March 3). Problems arising in teachers' education in the use of didactical tools. Paper presented at the European Research in Mathematics III Conference, Group 9, Bellaria, Italy.

 

 

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