An education capable of saving humanity is no small undertaking. -M. Montessori
Lit Review: The Limits of Adaptive Learning
I am working on a project on the limits of adaptive learning in the humanities. In order to better understand the landscape, I conducted a research review on the topics of Artificial Intelligence, Adaptive Learning Theory, and Theories of Learning and Teaching in the humanities.
Artificial Intelligence in Education (AIED)
1. Arthur, W. B., The nature of technology: what it is and how it evolves. New York: Free Press, 2011.
2. Beck, Joseph, Mia Stern and Erik Haugsjaa. “Applications of AI in Education.” XRDS Crossroads: The ACM Magazine for Students-Special Issue on Artificial Intelligence, Volume 3 Issue 1, September 1996. Pages 11-15. ACM New York, NY, USA doi>10.1145/332148.332153
3. Benjamin, R., Race after technology abolitionist tools for the new Jim code. Cambridge: Polity, 2019.
4. Boden, Margaret A. “Creativity and Artificial Intelligence.” Artificial Intelligence, vol. 103, no. 1-2, 1998, pp. 347–356., doi:10.1016/s0004-3702(98)00055-1
6. Cumming, G. (1998), Artificial intelligence in education: an exploration. Journal of Computer Assisted Learning, 14: 251-259. doi:10.1046/j.1365-2729.1998.1440251.x
10. Frankish, Keith, and William M. Ramsey. The Cambridge Handbook of Artificial Intelligence. Cambridge University Press, 2015.
12. Heidegger, Martin. The Question Concerning Technology, pp 3–35, 1977.
13. Holmes, Wayne, et al. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign, 2019.
14. Lawler, Robert Walt., and Masoud Yazdani. Artificial Intelligence and Education: Learning Environments & Tutoring Systems. Vol. 1, Ablex, 1987.
18. Pedró, Francesc. “Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development.” United Nations Educational, Scientific and Cultural Organization: Working Papers on Education Policy, vol. 07, 2019, doi:https://backend.educ.ar/refactor_resource/getBook/1097.
20. Romero, Cristobal, and Sebastian Ventura. “Data Mining in Education.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 3, no. 1, 2012, pp. 12–27., doi:10.1002/widm.1075.
21. Rogers, E. M., Diffusion of innovations: 5th ed. New York: Free Press, 2003.
22. Roque, Ricarose, et al. “Supporting Diverse and Creative Collaboration in the Scratch Online Community.” Mass Collaboration and Education, 2016, pp. 241–256., doi:10.1007/978-3-319-13536-6_12.
23. Serious Science. “Rethinking Learning in the Digital Age – Mitchel Resnick.” YouTube, 13 Mar. 2013, https://youtu.be/A_0XzM34_Ew.
24. Tschopp, Marisa. “Psychology of Artificial Intelligence.” Foundations, Range, Implications from a Humanities Perspective, 15 Feb. 2018, https://www.scip.ch/en/?labs.20180215.
Adaptive Learning Theory
25. Declan, K. “Adaptive versus learner control in a multiple intelligence learning environment.” Journal of Educational Multimedia and Hypermedia 17.3 (2008): 307-336.APA Google Scholar.
27. Henriksen K, Kaplan H. “Hindsight bias, outcome knowledge and adaptive learning.” BMJ Quality & Safety 2003; 12: ii46-ii50.
28. Johnson, D., and Dina Samora. “The Potential Transformation Of Higher Education Through Computer-Based Adaptive Learning Systems.” Global Education Journal 2016.1 (2016). Google Scholar.
29. Jones, V. & Jo, J.H. (2004). Ubiquitous learning environment: An adaptive teaching system using ubiquitous technology. In R. Atkinson, C. McBeath, D. Jonas-Dwyer & R. Phillips (Eds), Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference (pp. 468-474). Perth, 5-8 December. http://www.ascilite.org.au/conferences/perth04/procs/jones.htm
32. Liu, M., McKelroy, E., Corliss, S.B. et al. “Investigating the effect of an adaptive learning intervention on students’ learning.” Education Tech Research Dev (2017) 65: 1605. https://doi.org/10.1007/s11423-017-9542-1
35. Nakic, J., Granic, A., & Glavinic, V. (2015). Anatomy of Student Models in Adaptive Learning Systems: A Systematic Literature Review of Individual Differences from 2001 to 2013. Journal of Educational Computing Research, 51(4), 459–489. https://doi.org/10.2190/EC.51.4.e
37. Sonwalkar, N. (2007). Adaptive Individualization: The Next Generation of Online Education. In C. Montgomerie & J. Seale (Eds.), Proceedings of ED-MEDIA 2007–World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3056-3063). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 10, 2019 from https://www.learntechlib.org/primary/p/25810/.
38. N. Peirce, O. Conlan and V. Wade, “Adaptive Educational Games: Providing Non-invasive Personalised Learning Experiences,” 2008 Second IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning, Banff, BC, 2008, pp. 28-35. doi: 10.1109/DIGITEL.2008.30 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4700726&isnumber=4700713
39. Shute, V. & Towle, B. (2003) “Adaptive E-Learning”, Educational Psychologist, 38:2, 105-114, DOI: 10.1207/S15326985EP3802_5
40. Sonwalkar, N. (2007). Adaptive Individualization: The Next Generation of Online Education. In C. Montgomerie & J. Seale (Eds.), Proceedings of ED-MEDIA 2007–World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3056-3063). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 10, 2019 from https://www.learntechlib.org/primary/p/25810/.
41. Walkington, Candace A. “Using adaptive learning technologies to personalize instruction to student interests: The impact of relevant contexts on performance and learning outcomes.” Journal of Educational Psychology,2013, Vol.105(4), pp.932-945.
42. Woolie-Wilson, Jessie. “Blending Technology and Classroom Learning: Jessie Woolley-Wilson at TEDxRainier.” YouTube, YouTube, 17 Dec. 2012, https://www.youtube.com/watch?v=o0TbaHimigw.
43. Vandewaetere, M., Desmet, P., Clarebout, G., “The contribution of learner characteristics in the development of computer-based adaptive learning environments.” Computers in Human Behavior, Volume 27, Issue 1, 2011, Pages 118-130, ISSN 0747-5632, https://doi.org/10.1016/j.chb.2010.07.038
Theories of Learning & Teaching in the Humanities
44. Agre, Philip E. “The Soul Gained and Lost: Artificial Intelligence as a Philosophical Project.” Stanford Humanities Review , vol. 4, no. 2, 1995, pp. 1–19., https://pages.gseis.ucla.edu/faculty/agre/shr.html.
45. Allan Janik (2010) A future for the humanities?, Innovation: The European Journal of Social Science Research, 23:1, 1-12, DOI: 10.1080/13511611003791091
46. Beetham, H. and Sharpe, R. (2007) Rethinking Pedagogy for a Digital Age: Designing and Delivering E-Learning. Routledge. Google Scholar.
47. Binet, A., and Theodore Simon. The development of intelligence in children:(the Binet-Simon scale). Vol. 11. Williams & Wilkins, 1916.APA Google Scholar.
49. Bromme, R., Pieschl, S. & Stahl, E. “Epistemological beliefs are standards for adaptive learning: a functional theory about epistemological beliefs and metacognition.” Metacognition & Learning (2010) 5: 7. https://doi.org/10.1007/s11409-009-9053-5
53. Kong, S. C., Chan, T. W., Griffin, P., Hoppe, U., Huang, R., Kinshuk, … & Sharples, M. (2014). E-learning in school education in the coming 10 years for developing 21st century skills: Critical research issues and policy implications. Journal of Educational Technology & Society, 17(1), 70-78. Google Scholar.
54. McCarty, Willard. “Humanities Computing: Essential Problems, Experimental Practice,” Literary and Linguistic Computing, Volume 17, Issue 1, April 2002, Pages 103–125, https://doi.org/10.1093/llc/17.1.103
55. Messer-Davidow, E. Shumway, D. R., Sylvan, D. (1993) Knowledges: Historical and Critical Studies in Disciplinarity. University of Virginia Press. Google Scholar.
56. Patrick, H. Allison M. Ryan, Paul R. Pintrich, “The differential impact of extrinsic and mastery goal orientations on males’ and females’ self-regulated learning,” Learning and Individual Differences, Volume 11, Issue 2, 1999, Pages 153-171, ISSN 1041-6080, https://doi.org/10.1016/S1041-6080(00)80003-5.
63. Wosk, Julie Helen. “Conference Report: Humanities and the Machine: Responses to Technology (State University of New York, Maritime College, Fort Schuyler, Bronx, April 3, 1981).” Technology and Culture, vol. 23, no. 3, 1 July 1982, p. 435.
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