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SEMANTIC WEB-BASED PERSUASIVE TECHNOLOGY USE IN MATHEMATICS INSTRUCTION

Year 2014, Volume: 9 Issue: 1, 57 - 72, 01.02.2014

Abstract

The current study discusses persuasive technology use with regard to mathematics instruction. In addition to the theoretical background on web-based mathematics education, relevant theoretical frameworks on the diffusion of innovation, cognitive load and technology acceptance were discussed followed by particular persuasive technologies to be used in mathematics teaching. The potential of semantic Web with regard to information acquisition was considered and a sample persuasive technology in mathematics teaching (i.e. Wolfram Alpha) was evaluated with regard to instructional affordances and persuasiveness.

References

  • Andersen, M.H., (2009). Impact of Wolfram Alpha on math ed.
  • Ağustos 21, 2012 tarihinde http://busynessgirl.com/impact-ofwolfram-alpha-on math-ed/ adresinden alınmıştır.
  • Berners-Lee, T., (2003). Semantic Web status and direction.
  • ISWC2003 açılış konuşmaları. Kasım 02, 2012 tarihinde http://www.w3.org/2003/Talks/1023-iswc-tbl/slide26-0.html adresinden alınmıştır.
  • Chandler, P. and Sweller, J., (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, pp: 293–332. DOI: 10.1207/s1532690xci0804_2
  • Chandler, P. and Sweller, J., (1992). The split-attention effect as a factor in the design of instruction. British Journal of
  • Educational Psychology, 62, pp:233-246. DOI: 10.1111/j.2044821992.tb01017.x
  • Choo, C.W. and Marton, C., (2003). Information seeking on the Web by women in IT professions. Internet Research, 13(4), pp:267-280. DOI: 10.1108/10662240310488951
  • Clark, R.C., Nguyen, F., and Sweller, J., (2005). Efficiency in learning: evidence-based guidelines to manage cognitive load.
  • San Diego, CA: Pfeiffer. DOI: 10.1002/pfi.4930450920
  • Cristea, A.I., (2004). What can the Semantic Web do for Adaptive
  • Educational Hypermedia? Educational Technology & Society, 7(4), pp:40-58. Davis, F.D., (1989). A technology acceptance model for emprically testing new end user information systems: theory and results. Unpublished doctoral dissertation, The MIT Sloan School
  • Of Management, Cambridge, MA. De Jong, T., (2010). Cognitive load theory, educational research, and instructional design: some food for thought.
  • Instructional Science, 38(2), pp:105-134. doi: 10/1007/s11251009-9110-0
  • Driscoll, M., (2005). Psychology of learning for instruction. Boston, MA: Pearson.
  • Ersoy, M., (2013). Matematik Öğretiminde İkna Teknolojisi
  • Kullanımının Bilişsel ve Psikososyal Sonuçları. Yayınlanmamış Doktora Tezi. Anadolu Üniversitesi Eğitim Bilimleri Enstitüsü, Eskişehir. Fogg, B.J., (2003). Persuasive technology: using computers to change what we think and do. San Francisco, CA: Morgan Kaufmann. Girit, H., Eberhard, R., Michelberger, B., and Mutschler, B., (2012). On the precision of search engines: results from a controlled experiment. In: 15th International Conference on
  • Business Information Systems (BIS 2012), 21-23 May, 2012, Vilnius, Lithuania. Ekim 07, 2012 tarihinde http://dbis.eprints.uni-ulm.de/798/ adresinden alınmıştır.
  • Gupta, S. and Thakur, N., (2010). Semantic query optimisation with ontology simulation. International Journal Of Web &
  • Semantic Technology (IJWEST), 1(4),1-10. DOI: 10.5121/ijwest. 201401.
  • Ijsselsteijn, W., De Kort, Y., Midden, C., Eggen, B., and Van den Hoven, E., (2006). Persuasive technology for human wellbeing: setting the scene. Persuasive 2006 Proceedings, pp:1-4.
  • Keynejad, H., Kabir, H., and Daneshmand, M., (2011). Introducing an intelligent e-learning content constructor engine. 2nd
  • International Conference on Education and Management Technology (IPEDR), IACSIT Press, Singapore. Kılıçer, K. ve Odabaşı, H.F., (2010). Bireysel Yenilikçilik
  • Ölçeği (BYÖ): Türkçeye uyarlama, geçerlik ve güvenirlik çalışması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 38, ss:150-164. Luecke, R., (2007). Güç, etki ve ikna. A. Berktay (Ed.), T.
  • Parlak (Çev.), İstanbul: Türkiye İş Bankası Kültür Yayınları. Mintz, J. and Aagard, M., (2012). The application of persuasive technology to educational settings. Educational Technology
  • Research and Development, 60, pp:483-499. DOI: 10.1007/s11423012-9232-y
  • Oinas-Kukkonen, H. and Harjumaa, M., (2008). A systematic framework for designing and evaluating persuasive systems.
  • Proceedings Of The 3rd International Conference on Persuasive Technology, pp:164-176, Heidelberg: Springer. Paas, F., Renkl, A., and Sweller, J., (2004). Cognitive load theory: instructional implications of the interaction between information structures and cognitive architecture. Instructional
  • Science, 32, pp:1–8. doi:10.1023/B:TRUC.0000021806.17516.d0
  • Paas, F., Tuovinen, J.E., Tabbers, H.K., and Van Gerven, P.W.M., (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38(1), pp:63– doi:10.1207%2FS15326985EP3801_8
  • Papasalouros, A., Retalis, S., and Papaspyrou, N., (2004).
  • Semantic Description of Educational Adaptive Hypermedia based on a Conceptual Model. Educational Technology & Society, 7(4), pp:129-142. Ramachandran, D. and Canny, J., (2008). Applying persuasive technologies in developing regions. HCI for Community and International Development Workshop, CHI 2008. Florence, Italy.
  • Rogers, E., (1995). Diffusion of Innovations. NY: The Free Press
  • Rubin, C., (1986). Adoption and implementation of new technologies. Rogers Everett and Frederick Williams (Ed.).In
  • Communication Technology: The New Media in Society. NY: The Free Press. Simons, H., (2001). Persuasion in society. Londra: Sage Publications.
  • Snopce, H., Aliu, A., Spahiu, I., and Makasevska, V., (2010).
  • Methodological aspects of Mathematics using computer algebra systems. Proceedings of the 7th WSEAS International Conference On Engineering Education EDUCATION’10, pp:355-360. Straub, E.T., (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of
  • Educational Research, 79(2), pp:625-649. doi: 3102/0034654308325896
  • Sweller, J., Van Merriënboer, J.G., and Paas, F., (1998).
  • Cognitive architecture and instructional design. Educational Psychology Review, 10, pp:251–296. doi: 10.1023/A:1022193728205
  • Sweller, J., (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4, pp:295– 3 doi:10.1016/0959-4752(94)90003-5
  • Sweller, J., (1993). Some Cognitive processes and their consequences for the organization and presentation of information. Australian Journal of Psychology, 45(1), pp:1–8.
  • Venkatesh, V., Morris, M., Davis, G., and Davis, F., (2003).
  • User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), pp:425- 478. doi:10.2307/30036540
  • Wang, P.S., Zhou, Y., and Zou, X., (2004).Web-based mathematics education: MeML design and implementation. Proceedings Of The Information Technology: Coding and Computing ITCC 2004, pp:1691
  • Wang, P.S., Kajler, N., Zhou, Y., and Zou, X., (2003). WME: towards a web for mathematics education. Institute Of
  • Computational Mathematics, Kent University, OH. Ağustos 20, 2012 tarihinde http://icm. mcs.kent.edu/research/47wang.pdf adresinden alınmıştır.
  • Wilson, T.D., (1997). Information behavior: an interdisciplinary approach. Information Processing and Management, 33(4), pp:5515
  • Yeygel Çakır, S., (2011). Web siteleri ve ikna: Teknolojinin ikna gücü, (1. Baskı). Konya: Tablet Kitabevi Yayınları.
  • Zou, X., (2005). Support for online mathematics education: MeML and WME services. Proceedings Of The SoutheastCon IEEE 2005, pp:656-662.

MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI

Year 2014, Volume: 9 Issue: 1, 57 - 72, 01.02.2014

Abstract

Bu çalışmada ikna teknolojisi kavramının matematik öğretimi bağlamında betimlenmesi amaçlanmıştır. Kuramsal çerçeve içerisinde Web tabanlı matematik eğitiminin yanı sıra yeniliklerin yayılması kuramı ve teknoloji kabul modelleri ele alınmış; bu bağlamda matematik öğretiminde kullanılan ilgili teknolojiler irdelenmiştir. Özellikle günümüz Web tabanlı teknolojilerinden biri olan semantik Web'in enformasyon edinimi bağlamında potansiyeline değinilmiş; bu yönde özelleşmiş bir uygulama olan Wolfram Alpha'nın matematik öğretimindeki yeri ve öğretimde ikna potansiyeli değerlendirilmiştir.

References

  • Andersen, M.H., (2009). Impact of Wolfram Alpha on math ed.
  • Ağustos 21, 2012 tarihinde http://busynessgirl.com/impact-ofwolfram-alpha-on math-ed/ adresinden alınmıştır.
  • Berners-Lee, T., (2003). Semantic Web status and direction.
  • ISWC2003 açılış konuşmaları. Kasım 02, 2012 tarihinde http://www.w3.org/2003/Talks/1023-iswc-tbl/slide26-0.html adresinden alınmıştır.
  • Chandler, P. and Sweller, J., (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, pp: 293–332. DOI: 10.1207/s1532690xci0804_2
  • Chandler, P. and Sweller, J., (1992). The split-attention effect as a factor in the design of instruction. British Journal of
  • Educational Psychology, 62, pp:233-246. DOI: 10.1111/j.2044821992.tb01017.x
  • Choo, C.W. and Marton, C., (2003). Information seeking on the Web by women in IT professions. Internet Research, 13(4), pp:267-280. DOI: 10.1108/10662240310488951
  • Clark, R.C., Nguyen, F., and Sweller, J., (2005). Efficiency in learning: evidence-based guidelines to manage cognitive load.
  • San Diego, CA: Pfeiffer. DOI: 10.1002/pfi.4930450920
  • Cristea, A.I., (2004). What can the Semantic Web do for Adaptive
  • Educational Hypermedia? Educational Technology & Society, 7(4), pp:40-58. Davis, F.D., (1989). A technology acceptance model for emprically testing new end user information systems: theory and results. Unpublished doctoral dissertation, The MIT Sloan School
  • Of Management, Cambridge, MA. De Jong, T., (2010). Cognitive load theory, educational research, and instructional design: some food for thought.
  • Instructional Science, 38(2), pp:105-134. doi: 10/1007/s11251009-9110-0
  • Driscoll, M., (2005). Psychology of learning for instruction. Boston, MA: Pearson.
  • Ersoy, M., (2013). Matematik Öğretiminde İkna Teknolojisi
  • Kullanımının Bilişsel ve Psikososyal Sonuçları. Yayınlanmamış Doktora Tezi. Anadolu Üniversitesi Eğitim Bilimleri Enstitüsü, Eskişehir. Fogg, B.J., (2003). Persuasive technology: using computers to change what we think and do. San Francisco, CA: Morgan Kaufmann. Girit, H., Eberhard, R., Michelberger, B., and Mutschler, B., (2012). On the precision of search engines: results from a controlled experiment. In: 15th International Conference on
  • Business Information Systems (BIS 2012), 21-23 May, 2012, Vilnius, Lithuania. Ekim 07, 2012 tarihinde http://dbis.eprints.uni-ulm.de/798/ adresinden alınmıştır.
  • Gupta, S. and Thakur, N., (2010). Semantic query optimisation with ontology simulation. International Journal Of Web &
  • Semantic Technology (IJWEST), 1(4),1-10. DOI: 10.5121/ijwest. 201401.
  • Ijsselsteijn, W., De Kort, Y., Midden, C., Eggen, B., and Van den Hoven, E., (2006). Persuasive technology for human wellbeing: setting the scene. Persuasive 2006 Proceedings, pp:1-4.
  • Keynejad, H., Kabir, H., and Daneshmand, M., (2011). Introducing an intelligent e-learning content constructor engine. 2nd
  • International Conference on Education and Management Technology (IPEDR), IACSIT Press, Singapore. Kılıçer, K. ve Odabaşı, H.F., (2010). Bireysel Yenilikçilik
  • Ölçeği (BYÖ): Türkçeye uyarlama, geçerlik ve güvenirlik çalışması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 38, ss:150-164. Luecke, R., (2007). Güç, etki ve ikna. A. Berktay (Ed.), T.
  • Parlak (Çev.), İstanbul: Türkiye İş Bankası Kültür Yayınları. Mintz, J. and Aagard, M., (2012). The application of persuasive technology to educational settings. Educational Technology
  • Research and Development, 60, pp:483-499. DOI: 10.1007/s11423012-9232-y
  • Oinas-Kukkonen, H. and Harjumaa, M., (2008). A systematic framework for designing and evaluating persuasive systems.
  • Proceedings Of The 3rd International Conference on Persuasive Technology, pp:164-176, Heidelberg: Springer. Paas, F., Renkl, A., and Sweller, J., (2004). Cognitive load theory: instructional implications of the interaction between information structures and cognitive architecture. Instructional
  • Science, 32, pp:1–8. doi:10.1023/B:TRUC.0000021806.17516.d0
  • Paas, F., Tuovinen, J.E., Tabbers, H.K., and Van Gerven, P.W.M., (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38(1), pp:63– doi:10.1207%2FS15326985EP3801_8
  • Papasalouros, A., Retalis, S., and Papaspyrou, N., (2004).
  • Semantic Description of Educational Adaptive Hypermedia based on a Conceptual Model. Educational Technology & Society, 7(4), pp:129-142. Ramachandran, D. and Canny, J., (2008). Applying persuasive technologies in developing regions. HCI for Community and International Development Workshop, CHI 2008. Florence, Italy.
  • Rogers, E., (1995). Diffusion of Innovations. NY: The Free Press
  • Rubin, C., (1986). Adoption and implementation of new technologies. Rogers Everett and Frederick Williams (Ed.).In
  • Communication Technology: The New Media in Society. NY: The Free Press. Simons, H., (2001). Persuasion in society. Londra: Sage Publications.
  • Snopce, H., Aliu, A., Spahiu, I., and Makasevska, V., (2010).
  • Methodological aspects of Mathematics using computer algebra systems. Proceedings of the 7th WSEAS International Conference On Engineering Education EDUCATION’10, pp:355-360. Straub, E.T., (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of
  • Educational Research, 79(2), pp:625-649. doi: 3102/0034654308325896
  • Sweller, J., Van Merriënboer, J.G., and Paas, F., (1998).
  • Cognitive architecture and instructional design. Educational Psychology Review, 10, pp:251–296. doi: 10.1023/A:1022193728205
  • Sweller, J., (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4, pp:295– 3 doi:10.1016/0959-4752(94)90003-5
  • Sweller, J., (1993). Some Cognitive processes and their consequences for the organization and presentation of information. Australian Journal of Psychology, 45(1), pp:1–8.
  • Venkatesh, V., Morris, M., Davis, G., and Davis, F., (2003).
  • User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), pp:425- 478. doi:10.2307/30036540
  • Wang, P.S., Zhou, Y., and Zou, X., (2004).Web-based mathematics education: MeML design and implementation. Proceedings Of The Information Technology: Coding and Computing ITCC 2004, pp:1691
  • Wang, P.S., Kajler, N., Zhou, Y., and Zou, X., (2003). WME: towards a web for mathematics education. Institute Of
  • Computational Mathematics, Kent University, OH. Ağustos 20, 2012 tarihinde http://icm. mcs.kent.edu/research/47wang.pdf adresinden alınmıştır.
  • Wilson, T.D., (1997). Information behavior: an interdisciplinary approach. Information Processing and Management, 33(4), pp:5515
  • Yeygel Çakır, S., (2011). Web siteleri ve ikna: Teknolojinin ikna gücü, (1. Baskı). Konya: Tablet Kitabevi Yayınları.
  • Zou, X., (2005). Support for online mathematics education: MeML and WME services. Proceedings Of The SoutheastCon IEEE 2005, pp:656-662.
There are 50 citations in total.

Details

Primary Language Turkish
Journal Section Educational Sciences
Authors

Mehmet Ersoy

Publication Date February 1, 2014
Published in Issue Year 2014 Volume: 9 Issue: 1

Cite

APA Ersoy, M. (2014). MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI. Education Sciences, 9(1), 57-72. https://doi.org/10.12739/NWSA.2014.9.1.1C0606
AMA Ersoy M. MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI. Education Sciences. February 2014;9(1):57-72. doi:10.12739/NWSA.2014.9.1.1C0606
Chicago Ersoy, Mehmet. “MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI”. Education Sciences 9, no. 1 (February 2014): 57-72. https://doi.org/10.12739/NWSA.2014.9.1.1C0606.
EndNote Ersoy M (February 1, 2014) MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI. Education Sciences 9 1 57–72.
IEEE M. Ersoy, “MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI”, Education Sciences, vol. 9, no. 1, pp. 57–72, 2014, doi: 10.12739/NWSA.2014.9.1.1C0606.
ISNAD Ersoy, Mehmet. “MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI”. Education Sciences 9/1 (February 2014), 57-72. https://doi.org/10.12739/NWSA.2014.9.1.1C0606.
JAMA Ersoy M. MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI. Education Sciences. 2014;9:57–72.
MLA Ersoy, Mehmet. “MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI”. Education Sciences, vol. 9, no. 1, 2014, pp. 57-72, doi:10.12739/NWSA.2014.9.1.1C0606.
Vancouver Ersoy M. MATEMATİK ÖĞRETİMİNDE SEMANTİK WEB TABANLI İKNA TEKNOLOJİSİ KULLANIMI. Education Sciences. 2014;9(1):57-72.