Hint-Giving Phraseology for Computer Assisted Learning

  • Marietta SiontiEmail author
  • Ellen Schack
  • Thomas Schack
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 916)


In this paper we will discuss work to date on an exploratory study of tutoring patterns and their role for tutoring systems’ assistance in initiating creative responses and sustaining learning. Based on classroom discourse analysis, investigation of several studies of computer assisted learning -both for single and peer learning- and our understanding of the assistance dilemma of Intelligent Tutoring Systems (ITS), we argue that the students’ need for (artificial) facilitator’s help emphasizes on the manner of hint-providing, so we should take particular note of the challenges that arise from formalizing these definitions to apply to the style of problem solving and the students’ different age groups. This is the first step towards a mobile ITS that utilizes eye-tracking and virtual reality glasses, in order to identify difficulties and offer on time feedback in textual or visual mode, which will be superimposed on a transparent lens in users’ field of view. We will conclude with a discussion of implications and future directions.


Computer assisted learning (single and peer learning) Assistance dilemma Discourse analysis 


  1. Ai, H., Sionti, M., Wang, Y., Rosé, C.P.: Finding Transactive contributions in whole group discussions. In: Proceedings of the International Conference of the Learning Sciences (2010)Google Scholar
  2. Aleven, V., Ashley, K.D.: Teaching case-based argumentation through a model and examples: empirical evalution of an intelligent learning environment. Paper presented at the Artificial Intelligence in Education, Kobe, Japan (1997)Google Scholar
  3. Baker, R.S., Corbett, A.T., Koedinger, K.R., Wagner, A.Z.: Off-Task Behavior in the cognitive tutor classroom: when students “Game the System”. In: Proceedings of ACM CHI: Computer-Human (2004)Google Scholar
  4. Berkowitz, M., Gibbs, J.: Measuring the developmental features of moral discussion. Merrill-Palmer Q. 29, 399–410 (1983)Google Scholar
  5. Calarco, J.M.: “I need help!” Social class and children’s help-seeking in elementary school. Am. Sociol. Rev. 76(6), 862–882 (2011)MathSciNetCrossRefGoogle Scholar
  6. Chiu, M.M.: Effects of status on solutions, leadership, and evaluations during group problem solving. Sociol. Educ., 175–195 (2000)Google Scholar
  7. Chiu, M.M.: Group problem solving processes: Social interactions and individual turns. J. Theor. Soc. Behav. 30(1), 27–50 (2000)CrossRefGoogle Scholar
  8. Chiu, M.M.: Analyzing group work processes: Towards a conceptual framework and systematic statistical analysis. In: Columbus, F. (ed.) Advances in Psychology Research, vol. 4, pp. 193–222. Nova Science, Huntington, NY (2001)Google Scholar
  9. Chiu, M.M.: Adapting teacher interventions to student needs during cooperative learning. Am. Educ. Res. J. 41, 365–399 (2004)CrossRefGoogle Scholar
  10. Clark, R.C., Mayer, R.E.: E-Learning and the Science of Instruction. Jossey-Bass/Pfeiffer (2003)Google Scholar
  11. Gweon, G., Rosé, C.P., Albright, E., Cui, Y.: Evaluating the effect of feedback from a CSCL problem solving environment on learning, interaction, and perceived interdependence. In: Proceedings of Computer Supported Collaborative Learning 2007 (2007)Google Scholar
  12. Hmelo-Silver, C.E.: Problem-based learning: what and how do students learn? Educ. Psychol. Rev. 16(3) (2004)Google Scholar
  13. Howley, I., Chaudhuri, S., Kumar, R., Rosé, C.: Motivation and Collaboration Online. Poster Presented at Artificial Intelligence in Education (AIED 2009). Brighton: UK (2009a)Google Scholar
  14. Howley, I., Chaudhuri, S., Kumar, R., Rosé, C.: Motivation and Collaborative Behavior: An Exploratory Analysis. Poster Presented at Computer Supported Collaborative Learning. Greece, Rhodes (2009)CrossRefGoogle Scholar
  15. Karabenick, S.A., Berger, J.L.: Help seeking as a self-regulated learning strategy (2013)Google Scholar
  16. King, A.: Designing the instructional process to enhance critical thinking across the curriculum. Teach. Psychol. 22(1), 13–17 (1995)CrossRefGoogle Scholar
  17. Koedinger, K.R., Aleven, V.: Exploring the assistance dilemma in experiments with cognitive tutors. Educ. Psychol. Rev. 19(3), 239–264 (2007)CrossRefGoogle Scholar
  18. McLaren, B.M., Lim, S., Koedinger, K.R.: When is assistance helpful to learning? Results in combining worked examples and intelligent tutoring. In: Woolf, B., Aimeur, E., Nkambou, R., Lajoie, S. (eds.) Proceedings of the 9th International Conference on Intelligent Tutoring Systems, pp. 677–680. Springer, Berlin (2008b)Google Scholar
  19. McLaren, B.M., Lim, S., Yaron, D., Koedinger, K.R.: Can a polite intelligent tutoring system lead to improved learning outside of the lab? In: Proceedings of the 13th International conference on AI in Ed, pp. 433–440 (2007)Google Scholar
  20. McLaren, B.M., Lim, S., Gagnon, F., Yaron, D., Koedinger, K.R.: Studying the effects of personalized language and worked examples in the context of a web-based intelligent tutor. In: Proceedings of the 8th International Conference on International TUT System, pp. 318–328 (2006)Google Scholar
  21. Megan, H.: The structure of classroom discourse. In: Handbook of Discourse Analysis, pp. 119–131 (2003)Google Scholar
  22. Michaels, S., O’Connor, C., Resnick, L.B.: Deliberative discourse idealized and realized: Accountable Talk in the classroom and in civic life. Stud. Philos. Educ. 27, 283–297 (2008)CrossRefGoogle Scholar
  23. Nelson-Le Gall, S.: Chapter 2: Help-seeking behavior in learning. Rev. Res. Educ. 12(1), 55–90 (1985)Google Scholar
  24. Nelson-Le Gall, S., Glor-Scheib, S.: Help seeking in elementary classrooms: an observational study. Contemp. Educ. Psychol. 10(1), 58–71 (1985)CrossRefGoogle Scholar
  25. Newman, R.S.: Children’s help-seeking in the classroom: The role of motivational factors and attitudes. J. Educ. Psychol. 82(1), 71 (1990)CrossRefGoogle Scholar
  26. O’Connor, M.C., Michaels, S., Chapin, S.: Small-scale experimental studies of classroom talk: seeking local effects in discourse-intensive instruction. In: Paper Presented at Annual Meeting of the American Educational Research Association (2007)Google Scholar
  27. Piaget, J.: Piaget’s theory. In: Mussen, P.H. (ed.) Carmichael’s Manual of Child Psychology, vol. 1, 3rd edn, pp. 703–732. Wiley, New York (1970)Google Scholar
  28. Rau, M., Aleven, V., Rummel, N.: Intelligent tutoring systems with multiple representations and self-explanation prompts support learning of fractions. In: Dimitrova, V. Mizoguchi, R., du Boulay, B., Graesser, A. (Eds.) Proceedings of the 14th International conference on Artificial Intelligence in Education, AIED 2009, pp. 441–448. IOS Press, Amsterdam (2009)Google Scholar
  29. Resnick, L.B., Salmon, M., Zeitz, C.M.: The structure of reasoning in conversation. In: Proceedings of the Thirteenth Annual Conference of the Cognitive Science SocietyGoogle Scholar
  30. Resnick, L.B., Salmon, M., Zeitz, C.M., Wathen, S.H., Holowchak, M.: Reasoning in conversation. Cognit. Instr. 11(3, 4), 347–364 (1993)Google Scholar
  31. Resnick, L.B., William, D., Apodaca, R., Rangel, E.: The relationship between assessment and the organization and pratice of teaching. In: McGaw, B., Peterson, P., Baker, E. (eds.) International Encyclopedia of Education, in press, 3rd Edition Teaching of Psychology, vol. 22, pp. 13–17 (2010)Google Scholar
  32. Ryan, A.M., Shin, H.: Help-seeking tendencies during early adolescence: An examination of motivational correlates and consequences for achievement. Learn. Instr. 21(2), 247–256 (2011)CrossRefGoogle Scholar
  33. Sionti, M., Ai, H., Rosé, C.P., Resnick, L.: A framework for analyzing development of argumentation through classroom discussions. In Educational Technologies for Teaching Argumentation Skills, pp. 28–55 (2011)Google Scholar
  34. Teasley, S.D., Roschelle, J.: Constructing a joint problem space: the computer as a tool for sharing knowledge. In: Computers as Cognitive Tools, pp. 229–258 (1993)Google Scholar
  35. Weinberger, A., Fischer, F.: A framework to analyze argumentative knowledge construction in computer supported collaborative learning. Comput. Educ. 46, 71–95 (2006)CrossRefGoogle Scholar
  36. Wittenbaum, G.M., Hollingshead, A.B., Paulus, P.B., Hirokawa, R.Y., Ancona, D.G., Peterson, R.S., et al.: The functional perspective as a lens for understanding groups. Small Group Res. 35(1), 17–43 (2004)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Marietta Sionti
    • 1
    Email author
  • Ellen Schack
    • 2
  • Thomas Schack
    • 1
    • 3
    • 4
  1. 1.Neurocognition and Action Research Group, Cluster of Excellence-Cognitive Interaction TechnologyBielefeld UniversityBielefeldGermany
  2. 2.von Bodelschwinghschen Stiftungen Bethel, ProWerkBielefeldGermany
  3. 3.Faculty of Psychology and Sport SciencesBielefeld UniversityBielefeldGermany
  4. 4.CoR-Lab, Research Institute for Cognition and RoboticsBielefeld UniversityBielefeldGermany

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