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Ask Systems: interrogative access to multiple ways of thinking

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Abstract

The purpose of this paper is to familiarize instructional designers and researchers with a useful design and research paradigm known as “Ask Systems.” Ask Systems are interrogative interfaces to information and learning environments that model conversations with a skilled, reflective practitioner (Schön, The reflective practitioner, 1983) or teacher. By selecting questions to answer, users access information or scaffolds that help them to solve a problem, perform a task, or comprehend domain knowledge. Ask Systems are potentially effective for designing interactive learning systems because question asking is one of the most fundamental skills in learning that affects comprehension and problem solving (Graesser et al., in: Britton and Graesser (eds.) Models of understanding text, 1996b; Graesser et al., Journal of Artificial Intelligence in Education, 3:235–241, 1992). By selecting questions to answer, students may also learn how to generate their own meaningful questions, because the quality of student-generated questions is strong predictor of domain knowledge and problem solving (Graesser and Olde, Journal of Educational Psychology, 95(3):524–536, 2003). Ask Systems are demonstrated that represent a variety of learning and task structures, including frequently asked questions, problem solving, metacognition, causal understanding, and multiple perspectives. Although empirical research on Ask Systems is very limited, they appear to represent a potentially effective paradigm for designing instruction and conducting research in a variety of learning environments.

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References

  • Bareiss, R., & Osgood, R. (1993). Applying AI models to the design of exploratory hypermedia systems. In: Proceedings of the fifth ACM conference on Hypertext, Seattle, Washington (pp. 94–105).

  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32–42.

    Google Scholar 

  • Carey, S. (2002). The origin of concepts: Continuing the conversation. In N. L. Stein, P. J. Bauer, & M. Rabinowitz (Eds.), Representation, memory, and development: Essays in honor of Jean Mandler (pp. 43–52). Mahwah, NJ: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

  • Cataldo, M. G., & Cornoldi, C. (1998). Self-monitoring in good and poor reading comprehension and their use of strategy. British Journal of Developmental Psychology, 16, 155–165.

    Google Scholar 

  • Cleary, C., & Bareiss, R. (1996). Practical methods for automatically generating typed links. In: Proceedings of the seventh ACM conference on Hypertext (p. 31), Maryland: Bethesda.

  • Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.

    Google Scholar 

  • Feltovich, P. J., Spiro, R. J., & Coulson, R. L. (1989). The nature of conceptual understanding in biomedicine: The deep structure of complex ideas and the development of misconceptions. In D. Evans & V. Patel (Eds.), The cognitive sciences in medicine. Cambridge, MA: MIT Press.

    Google Scholar 

  • Ferguson, W., Bareiss, R., Birnbaum, L., & Osgood, R. (1992). Ask systems: An approach to the realization of story-based teachers. Journal of the Learning Sciences, 2(1), 95–134.

    Article  Google Scholar 

  • Fitzgerald, W., & Wisdo, C. (1994). Using natural language processing to construct large-scale hypertext systems. In: Proceedings from 8th knowledge acquisition for knowledge-based systems workshop, 30 January to 4 February, 23. http://www.entish.org/published/fitzgerald-wisdo.pdf.

  • Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34, 906–911.

    Article  Google Scholar 

  • Flavell, J. H. (1987). Speculations about the nature and development of metacognition. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 21–29). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Ge, X., & Land, S. M. (2003). Scaffolding students’ problem-solving processes in an ill-structured task using question prompts and peer interactions. Educational Technology Research and Development, 51(1), 21–38.

    Article  Google Scholar 

  • Ge, X., & Land, S. M. (2004). A conceptual framework for scaffolding ill-structured problem solving using question prompts and peer interactions. Educational Technology Research and Development, 52(2), 5–22.

    Article  Google Scholar 

  • Graesser, A. C., Baggett, W., & Williams, K. (1996a). Question-driven explanatory reasoning. Applied Cognitive Psychology, 10, S17–S31.

    Article  Google Scholar 

  • Graesser, A. C., Langston, M. C., & Lang, K. L. (1992). Designing educational software around questioning. Journal of Artificial Intelligence in Education, 3, 235–241.

    Google Scholar 

  • Graesser, A. C., & Olde, B. A. (2003). How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down. Journal of Educational Psychology, 95(3), 524–536.

    Article  Google Scholar 

  • Graesser, A. C., Swamer, S. S., Baggett, W. B., & Sell, M. A. (1996b). New models of deep comprehension. In B. K. Britton & A. C. Graesser (Eds.), Models of understanding text. Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Hartley, J. (2004). Designing instructional and informational text. In D. H. Jonassen (Ed.), Handbook of research on educational communications and technology (2nd ed., pp. 9176–9948). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Johnson, C., Birnbaum, L., Bareiss, R., & Hinrichs, T. (1998). Integrating organizational memory and performance support. In: Proceedings of the 4th international conference on intelligent user interfaces (pp. 127–134), California: Los Angeles.

  • Johnson, C., Birnbaum, L., Bareiss, R., & Hinrichs, T. (2000). War stories: Harnessing organizational memories to support task performance. Intelligence, 11(1), 16–31.

    Article  Google Scholar 

  • Jonassen, D. H. (2000). Revisiting activity theory as a framework for designing student-centered learning environments. In D. H. Jonassen & S. M. Land (Eds.), Theoretical foundations of learning environments (pp. 89–122). Mahwah, NJ: Lawrence Erlbaum associates.

    Google Scholar 

  • Jonassen, D. H. (2011). Learning to solve problems: A handbook for designing problem-solving learning environments. New York: Routledge.

    Google Scholar 

  • Jonassen, D. H., & Hernandez-Serrano, J. (2002). Case-based reasoning and instructional design: Using stories to support problem solving. Educational Technology Research and Development, 50(2), 65–77.

    Article  Google Scholar 

  • Jonassen, D. H., & Ionas, I. G. (2008). Designing effective supports for reasoning causally. Educational Technology Research and Development, 56(3), 287–308.

    Article  Google Scholar 

  • Jonassen, D. H., Schmidt, M. A, Miller, W., & Neumeyer, G. (2005, June). A problem-based introduction to nuclear sciences. In: Proceedings of the annual conference and exposition of the american society of engineering education, Portland, OR. http://www.asee.org/conferences/annual.cfm.

  • Jonassen, D. H., Shen, D., Marra, R. M., Cho, Y. H., Lo, J. L., & Lohani, V. K. (2009). Engaging and supporting problem solving in engineering ethics. Journal of Engineering Education, 98(3), 235–254.

    Google Scholar 

  • Jonassen, D. H., Tessmer, M., & Hannum, W. H. (1999). Task analysis methods for instructional design. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • King, A. (1989). Effects of self-questioning training on college students’ comprehension of lectures. Contemporary Educational Psychology, 14(4), 366–381.

    Article  Google Scholar 

  • King, A. (1991). Effects of training in strategic questioning on children’s problem-solving performance. Journal of Educational Psychology, 83(3), 307–317.

    Article  Google Scholar 

  • King, A. (1992). Facilitating elaborative earning through guided student-generated question. Educational Psychologist, 27(1), 111–126.

    Article  Google Scholar 

  • King, A. (1994). Guiding knowledge construction in the classroom: Effects of teaching children how to question and how to explain. American Educational Research Association, 31(2), 338–368.

    Google Scholar 

  • Kolodner, J. (1983). Case-based reasoning. New York: Morgan Kauffman.

    Google Scholar 

  • Palinscar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 2, 117–175.

    Article  Google Scholar 

  • Rosenshine, B., Meister, C., & Chapman, S. (1996). Teaching students to generate questions: A review of the intervention studies. Review of Educational Research, 66(2), 81–221.

    Google Scholar 

  • Schank, R. C. (1994). Active learning through multimedia. IEEE Multimedia, 1(1), 69–78.

    Article  Google Scholar 

  • Schank, R. C., & Cleary, C. (1995). Engines for education. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Schank, R. C., Ferguson, W., Birnbaum, L., Barger, J., & Greising, M. (1991). ASK Tom: An experimental interface for video case libraries (Tech. Report No. 10). Evanston, IL: Institute for the Learning Sciences, Northwester University.

    Google Scholar 

  • Schmidt, M., Easter, M., Jonassen, D., Miller, W., & Ionas, G. (2008). Preparing the twenty-first century workforce: The case of curriculum change in radiation protection education in the United States. Journal of Vocational Education & Training, 60(4), 423–439.

    Article  Google Scholar 

  • Schoenfeld, A. H. (1985). Beyond the purely cognitive. Cognitive Science, 7, 329–363.

    Article  Google Scholar 

  • Schön, D. (1983). The reflective practitioner. New York: Basic Books.

    Google Scholar 

  • Sembugamoorthy, V., & Chandrasekeran, B. (1986). Functional representations of devices and compilation of diagnostic problem-solving systems. In J. Kolodner & C. K. Riesbeck (Eds.), Experience, memory, and reasoning (pp. 47–53). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Smith, M. K. (2001). Donald Schön: Learning, reflection and change. The encyclopedia of informal education. www.infed.org/thinkers/et-schon.htm.

  • Spiro, R. J., & Jehng, J. C. (1990). Cognitive flexibility and hypertext: Theory and technology for the non-linear and multi-dimensional traversal of complex subject matter. In D. Nix & R. J. Spiro (Eds.), Cognition, education, and multimedia: Explorations in high technology. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

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  1. University of Missouri, 303 Townsend Hall, Columbia, MO, 65211, USA

    David H. Jonassen

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  1. David H. Jonassen
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Jonassen, D.H. Ask Systems: interrogative access to multiple ways of thinking. Education Tech Research Dev 59, 159–175 (2011). https://doi.org/10.1007/s11423-010-9179-9

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