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On Systematic Tracking of Common Problems Experienced by Students

  • Sylvia Encheva
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

Evaluation processes in higher education have been addressed by both educators and computer scientists. While the first group is occupied mainly with the learning side of the problem the latter one is concentrating on approaches that can extract the most useful information from previously collected data applying statistical methods. Results obtained from evaluation of students knowledge can also be analyzed with non-probabilistic methods. They appear to be very helpful for locating those places where improvements have to be made.

Keywords

Knowledge Visualization Dependencies 

References

  1. 1.
    Dummer P, Ifenthaler D (2010) Automated knowledge visualization and assessment. Comput Based Diagn Syst Anal Knowl 2:77–115CrossRefGoogle Scholar
  2. 2.
    Ifenthaler D (2010) Learning and instruction in the digital age. In Spector JM, Ifenthaler D, IsaÃ-as P, Kinshuk, and Sampson DG ( eds) Learning and instruction in the digital age: making a difference through cognitive approaches, technology-facilitated collaboration and assessment, and personalized communications, Springer, New York, pp. 3–11 Google Scholar
  3. 3.
    Higham P (2013) Regulating accuracy on university tests with the plurality option. Learn Instr 24:26–36CrossRefGoogle Scholar
  4. 4.
    Carpineto C, Romano G (2004) Concept data analysis: theory and applications. John Wiley & Sons, Ltd Google Scholar
  5. 5.
    Davey BA, Priestley HA (2005) Introduction to lattices and order. Cambridge University Press, CambridgeGoogle Scholar
  6. 6.
    Edelman PH, Jamison RE (1985) The theory of convex geometries. Geom Dedicata 19:247–270CrossRefMATHMathSciNetGoogle Scholar
  7. 7.
    Gruber P, Wills J (1993) Handbook of convex geometry. Elsevier, AmsterdamGoogle Scholar
  8. 8.
    Boyd EA, Faigle U (1990) An algorithmic characterization of antimatroids. Discrete Appl Mathe 28(3):197–205CrossRefMATHMathSciNetGoogle Scholar
  9. 9.
    Glasserman P, Yao DD (1994) Monotone structure in discrete event systems, Wiley series in probability and statistics. Wiley, New YorkGoogle Scholar
  10. 10.
    Parmar A (2003) Some mathematical structures underlying efficient planning, AAAI spring symposium on logical formalization of commonsense reasoningGoogle Scholar
  11. 11.
    Higham PA (2007) No Special K! A signal detection framework for the strategic regulation of memory accuracy. J Exp Psychol Gen 136:1–22CrossRefMathSciNetGoogle Scholar
  12. 12.
    Sieck WR, Merkle EC, Van Zandt T (2007) Option fixation: a cognitive contributor to overconfidence. Organ Behav Hum Decis Process 103:68–83CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Stord/Haugesund University CollegeHaugesundNorway

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