Artificial Intelligence in Distance Education is a presentation raising questions to consider. Here’s an excerpt:
Like many scholars of technology, the Amish have rejected the idea that technologies are value-free tools. Instead, they recognize that “technology and social order are constructed simultaneously and influence each other a great deal” (Wetmore, 2012, p. 11).
For many of us, the technology rules the Amish have developed seem arbitrary and silly. But they are actually thought through very well.… The Amish believe that the best life is one that is lived in community with fellow believers. The majority of their decisions are driven by the goal of strengthening the ties they have to one another. (Wetmore, 2012, para. 5)
“The Amish believe that technologies can reinforce social norms, enable or constrain the ways that people interact with one another, and shape a culture’s identity” (Wetmore 2012, p. 11).
Bates (2005) writes that “we need some kind of framework to enable decision making about the choice and use of technology for teaching” (p. 41). Interestingly, Bates identifies the typical factors that have influenced decision making about education technologies, as availability of technology, free or cheap procurement, technologies that replicate traditional teaching formats, and enthusiasm of decision maker. None of these have much relation to educational theories. Notably (disappointingly), when Bates proposes an alternative framework for technology selection and application, teaching and learning is included but identified as a weak discriminator because it’s too complex. “It is much easier to discriminate between technology on the basis of access or cost than on the basis of teaching effectiveness” (Bates, 2005, p. 59). There are too many variables including teachers’ skill and motivation to teach regardless of media and technologies and learners’ preferred learning styles as well as the capacity and motivation to learn with excellent or poor learning technologies (p. 58). Bates is optimistic that this will change and research will begin to identify differences that media and technology have on teaching and learning (p. 59).
References for full presentation.
Prepared by Lisa Hammershaimb and Peggy Lynn MacIsaac
Anderson, T. (2005). Distance learning – social software’s killer ap. In Proceedings of the 17th Biennial Conference of the Open and Distance Learning Association of Australia, ODLAA: Adelaida.
Artificial intelligence. (n.d.). In Oxford English Dictionary online. Retrieved from http://0-www.oed.com.aupac.lib.athabascau.ca/view/Entry/271625?redirectedFrom=%22artificial+intelligence%22#eid
Athabasca University. (2014). MDDE 620: Advanced technology for distance education and training study guide. Athabasca, AB: Athabasca University.
Avatar. (n.d.). In Oxford English Dictionary online. Retrieved from http://0-www.oed.com.aupac.lib.athabascau.ca/view/Entry/13624?redirectedFrom=avatar#eid
Bates, A.W. (2005). Selecting and using technologies in distance education. In Technology, e-learning and distance education (pp.41-66). New York, NY: Routledge.
Beaudoin, M. (1990). The instructor’s changing role in distance education. American Journal of Distance Education 4(2), 21-9. doi:10.1080/08923649009526701
Bostrom, N. (2006, August 9). AI set to exceed human brain power. CNN website. Retrieved from http://www.cnn.com/2006/TECH/science/07/24/ai.bostrom/
Brusilovsky, P. (1999). Adaptive and intelligent technologies for web-based education. Künstliche Intelligenz, 13(4), 19-25. Retrieved from http://www2.sis.pitt.edu/~peterb/papers/KI-review.html
Brusilovsky, P. , Eklund, J., & Schwarz E. (1998). Web-based education for all: A tool for development adaptive courseware. Computer Networks and ISDN Systems, 30(1–7), 291-300. doi: 10.1016/S0169-7552(98)00082-8
Brusilovsky, P., & Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education, 13(2), 159-172.
Bulu, S. T. (2012). Place presence, social presence, co-presence, and stasfation in virtual worlds. Computers & Education 58, 154-161. doi: 10.1016/j.compedu.2011.08.024
Cain, W.T. (2012) Amish photo. Retrieved from http://www.slate.com/blogs/future_tense/2012/12/24/smartphones_tablets_make_us_think_about_technology_like_the_amish_do.html
Carbonell, J. R. (1970). AI in CAI: An artificial-Intelligence approach to computer-assisted instruction. IEEE Transactions on Man-Machine Systems, 11(4), 190-202. doi: 10.1109/TMMS.1970.299942
Carbonell photo (n.d.). Software Institute website. Retrieved from http://softwareinstitute.touro.edu/administration/jaime-carbonell
Cartoon reception Metropolitan Musuem of Art (n.d.) Retrieved from http://upload.wikimedia.org/wikipedia/commons/b/ba/Metropolitan_opening_reception.jpg
Chen, G. D., Lee, J. H., Wang, C. H., Chao, P. Y., Li, L. Y., & Lee, T. Y. (2012). An empathic avatar in a computer-aided learning program to encourage and persuade learners. Educational Technology & Society, 15 (2), 62-72.
Cohn, J. (2013). The robot will see you now. The Atlantic, 311(2). 58-67.
Dede, C. (1996). The evolution of distance education: Emerging technologies and distributed learning.
American Journal of Distance Education, 10(2), 4-36.
Fahy, P. (2008).Characteristics of interactive online learning media. In T. Anderson and F. Elloumi (Eds.), Theory and Practice of Online Learning. Athabasca, AB: Athabasca University.
Fischer, T. (2009). Amish photo Retrieved from http://www.flickr.com/photos/22714323@N06/4099700944/
Frechette, C., & Moreno, R. (2010). The roles of animated pedagogical agents’ presence and nonverbal communication in multimedia learning environments. Journal of media psychology: Theories, methods, and applications, 22(2), 61-72. doi:10.1027/1864-1105/a000009
Gamze, O., Amy M., J., Robert K., A., & Martin, R. (2013). Investigating the impact of pedagogical agent gender matching and learner choice on learning outcomes and perceptions. Computers & Education, 67, 36-50. doi:10.1016/j.compedu.2013.02.006
Garrison, G.R., Anderson, T., Archer, W. (2001). Critical thinking, cognitive presence, and computer conferencing in distance education. Journal of Distance Education, 15(1), 7-23.
Jones, C. (2006). Robot Dog photo. Retrieved from http://www.flickr.com/photos/17149966@N00/280634385/
Gredler, M. E. (2004). Games and simulations and their relationships to learning. In D. H. Jonassen, (Ed), Handbook of Research on Educational Communications and Technology (2nd ed.), (pp. 571-581). Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers.
Johnson, L.W., Rickel, J.W., & Lester, J.C. (2000) Animated pedagogical agents: Face-to-face interaction in interactive learning environments. International Journal of Artificial Intelligence in Education 11, 47-78.
Jonassen, D., Davidson, M., Collins, M., Campbell, J., & Haag, B. B. (1995). Constructivism and computer‐mediated communication in distance education. American Journal of Distance Education, 9(2), 7-26.
Jones, C. (2006). Robot Dog photo. Retrieved from http://www.flickr.com/photos/17149966@N00/280634385/
Kay, J. (2012). AI and education: Grand challenges. IEEE Intelligent Systems, 27(5), 66-69.
Leber, J. (2013). The Avatar Will See You Now. Technology Review, 116(5), 22-23.
Long, P.D., & Siemens, G. (2011). Penetrating the fog: Analytics in learning and education. Educause Review 46(5), 30-41.
Mazza, R. & Dimitrova, V. (2004). Visualising student tracking data to support instructors in web-based distance education. In Proceedings of the 13th International World Wide Web Conference, 154-61. doi: 10.1145/1013367.1013393
McCarthy, J., Minsky, M.L., Rochester, N., & Shannon, C.E. (1955). A proposal for the Dartmouth summer reasearhc project on artificial intelligence. Retrieved from http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html
McCarthy photo. (2006). Retrieved from http://www.flickr.com/photos/null0/272015955/
Mclaren, B. M. , Scheuer, O., & Mikšátko, J. (2010). Supporting collaborative learning and e-discussions using artificial intelligence techniques. International Journal of Artificial Intelligence in Education, 20(1), 1-46. doi: 10.3233/JAI-2010-0001
Mehmet, K. (2009). Contemporary distance education applications with multiple-agent architecture and distributed artificial intelligence techniques. International Online Journal of Educational Sciences, 1(1), 1-28.
Nabiyev, V. Karal, H. Arslan, S., Erumit, A., & Cebi, A. (2013). An artificial intelligence-based distance education system: Artimate. Turkish Online Journal of Distance Education 14(2), 81-98.
Pavón, J., Gómez-Sanz, J. J., & Fuentes, R. (2005). The INGENIAS methodology and tools. Agent-oriented methodologies, 9, 236-276.
Rodriguez, C. (2012). MOOCs and the AI-Stanford like courses: Two successful and distinct course formats for massive open online courses. European Journal of Open, Distance and E-Learning, 2.
Sarraf Shirazi, A., von Mammen, S., & Jacob, C. (2013). Abstraction of agent interaction processes: Towards large-scale multi-agent models. Simulation, 89(4), 524. doi:10.1177/0037549712470733
Schejbal, D. (2012). In search of a new paradigm for higher education. Innovative Higher Education, 37(5), 373-386.
Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist 57, 380-400.
Singh, V. (2006). Lord Krishna statue photo. Retrieved from http://www.flickr.com/photos/64121897@N00/145098480/
Sklar, E., & Richards, D. (2010). Agent-based systems for human learners. The Knowledge Engineering Review, 25(2), 111-35. doi 10.1017/S0269888910000044
Sträfling, N., Fleischer, I., Polzer, C., Leutner, D., & Krämer, N. C. (2010). Teaching learning strategies with a pedagogical agent: The effects of a virtual tutor and its appearance on learning and motivation. Journal of Media Psychology: Theories, Methods, and Applications, 22(2), 73-83. doi:10.1027/1864-1105/a000010
Taylor, J. C. (1995). Distance education technologies: The fourth generation. Australian Journal of Educational Technology, 11, 1-7.
Tod, J. (1829). On the religious establishments of Méwar. Transactions of the Royal Asiatic Society of Great Britain and Ireland, 2(1), 270-325.
Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433-60. doi:10.2307/2251299
Turing photo (n.d.). Retrieved from wikipedia.org
Wetmore, J.M., (2007). Amish technology: Reinforcing values and building community. Technology and Society Magazine, IEEE, 26(2), 10-21.
Wiggins, G. (2013, October 5). Curriculum is more important than learning technology. TechTough website. Retrieved from http://www.teachthought.com/technology/curriculum-is-more-important-than-learning-technology/