How Does Indirect Feedback Affect the Attitude in Higher Software Engineering Education?

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 715)

Abstract

Specialized programming knowledge and further generic competencies are needed to be able to develop software adequately. Therefore, it is essential to foster communication skills in higher software engineering education. One aspect of communication – feedback – is used rather frequently in agile software development as well as in educational settings, but: How does this indirect feedback affect the attitude of students in higher software engineering education? This paper describes a research proposal in order to detect how and to what extent indirect feedback has an impact on the individual’s attitude.

Keywords

Feedback Attitude Higher education Software engineering 

Notes

Acknowledgement

The present work as part of the EVELIN project was funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung) under grant number 01PL17022A. The author is responsible for the content of this publication.

References

  1. 1.
    ACM (2017). http://dl.acm.org. Accessed 12 May 2017
  2. 2.
    Balzert, H.: Lehrbuch der Software-Technik [German]. Bd.1. Software-Entwicklung. Spektrum Akademischer Verlag, Heidelberg (2001)Google Scholar
  3. 3.
    Bangert-Drowns, R., Kulik, C., Kulik, J., Morgan, M.: The instructional effect of feedback in test-like events. Rev. Educ. Res. 61, 213–238 (1991)CrossRefGoogle Scholar
  4. 4.
    BASE: Bielefelder Academic Search Engine (2017). https://www.base-search.net. Accessed 12 May 2017
  5. 5.
    Beck, K.: Extreme Programming Explained. Embrace Change, 1st edn. Addison Wesley, Boston (2000)Google Scholar
  6. 6.
    Bibliographisches Institut GmbH – Duden Verlag (ed): Duden. Feedback [German] (2017). http://www.duden.de/node/714633/revisions/1382751/view. Accessed 19 May 2017
  7. 7.
    Butler, D.L., Winne, P.H.: Feedback and self-regulated learning: a theoretical synthesis. Rev. Educ. Res. 65, 245–281 (1995)CrossRefGoogle Scholar
  8. 8.
    Clark, H.: Using Language. Cambridge University Press, Cambridge (1996)CrossRefGoogle Scholar
  9. 9.
    Curtis, B., Krasner, H., Iscoe, N.: A field study of the software design process for large systems. Commun. ACM 31(11), 1268–1287 (1988)CrossRefGoogle Scholar
  10. 10.
    Ditton, H., Müller, A.: Feedback und Rückmeldungen. Theoretische Grundlagen, empirische Befunde, praktische Anwendungsfelder [German]. Waxmann, Münster, New York (2014)Google Scholar
  11. 11.
    Eagly, A.E., Chaiken, S.: The Psychology of Attitudes. Harcourt Brace Jovanovich, Fort Worth (1993)Google Scholar
  12. 12.
    Fagan, M.E.: Design and code inspections to reduce errors in program development. IBM Sys. J. 15(3), 182–211 (1976)CrossRefGoogle Scholar
  13. 13.
    Fengler, J.: Feedback geben: Strategien und Übungen [German]. Beltz, Weinheim (2004)Google Scholar
  14. 14.
    Flick, U.: Qualitative Sozialforschung. Eine Einführung [German]. Rowohlts enzyklopädie, Reinbek bei Hamburg (2012)Google Scholar
  15. 15.
    Gold-Veerkamp, C.: Erhebung von Soll-Kompetenzen im Software Engineering: Anforderungen an Hochschulabsolventen aus industrieller Perspektive [German]. Springer-Verlag, Wiesbaden (2015)CrossRefGoogle Scholar
  16. 16.
    Hattie, J., Timperley, H.: The power of feedback. Rev. Educ. Res. 77, 81–112 (2007)CrossRefGoogle Scholar
  17. 17.
    Hilbert, D.M., Redmiles, D.F. (n. a.): Collecting User Feedback and Usage Data on a Large Scale to Inform Software Development. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.8257. Accessed 20 May 2017
  18. 18.
    IEEE (ed.): 1028-2008 - IEEE Standard for Software Reviews and Audits (2008). http://standards.ieee.org/findstds/standard/1028-2008.html. Accessed 11 May 2017
  19. 19.
    IEEE-Xplore digital library (2017). http://ieeexplore.ieee.org/Xplore/home.jsp. Accessed 12 May 2017
  20. 20.
    Jakobs, G., Curtis, A., Braine, G., Huang, S.-Y.: Feedback on student writing: taking the middle path. J. Second Lang. Writ. 7(3), 307–317 (1998)CrossRefGoogle Scholar
  21. 21.
    Kitchenham, B., Brereton, O., et al.: Systematic literature reviews in software engineering – A systematic literature review (2008). http://www.cin.ufpe.br/~in1037/leitura/meta-systematic-reviews-kitchenham-jan09ist.pdf. Accessed 11 May 2017
  22. 22.
    Kluger, A.N., DeNisi, A.: The effects of feedback interventions on performance: a historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychol. Bull. 119(2), 254–284 (1996)CrossRefGoogle Scholar
  23. 23.
    Kohli, A.K., Jaworksy, B.J.: The influence of coworker feedback on salespeople. J. Mark. 58(4), 82–94 (1994)CrossRefGoogle Scholar
  24. 24.
    Krause, U.-M.: Feedback und kooperatives Lernen [German]. Waxmann, Münster (2007)Google Scholar
  25. 25.
    Krause, U.-M., Stark, R., Mandl, H.: Förderung des computerbasierten Wissenserwerbs durch kooperatives Lernen und eine Feedbackmaßnahme [German]. Zeitschrift für Pädagogische Psychologie 18(2), 125–136 (2004)CrossRefGoogle Scholar
  26. 26.
    Kulhavy, R.W., Stock, W.A.: Feedback in written instruction: the place of response certitude. Educ. Psychol. Rev. 1, 279–308 (1989)CrossRefGoogle Scholar
  27. 27.
    Lewin, K.: Feldtheorie in den Sozialwissenschaften [German]. Huber Verlag, ‎München (2012). Ausgewählte SchriftenGoogle Scholar
  28. 28.
    Maio, G., Olson, J.: Attitudes in social behavior. Part Three. Social psychology. In: Willey, J. (ed.) Handbook of psychology. Klumer, Academic/Plenum Publishers, New York (1998)Google Scholar
  29. 29.
    Morales-Ramirez, I., Perini, A., Guizzardi, R.: Providing foundation for user feedback concepts by extending a communication ontology. In: International Conference on Conceptual Modeling, pp. 305–312. Springer International Publishing. http://link.springer.com/content/pdf/10.1007%2F978-3-319-12206-9_25.pdf. 20 May 2017
  30. 30.
    Mory, E.H.: Feedback research revisited. In: Jonassen, D.H. (ed.) Handbook of research for educational comunications and technology, pp. 745–783. Lawrence Erlbaum Associates, Mahwah, NJ (2004)Google Scholar
  31. 31.
    Narciss, S.: Informatives tutorielles Feedback [German]. Waxmann, Münster (2006)Google Scholar
  32. 32.
    Narciss, S.: Feedback in instructional contexts. In: Seel, N. (ed.), Encyclopedia of the Learning Sciences, Volume F, pp. 1285–1289. Springer Science & Business Media, LLC, New York (2012)Google Scholar
  33. 33.
    Oberhoff, B.: Akzeptanz von interpersonellem Feedback. Eine empirische Untersuchung zu verschiedenen Feedback-Formen [German]. Dissertation (1978)Google Scholar
  34. 34.
    Ramaprasad, A.: On the definition of feedback. Behav. Sci. 28(1), 4–13 (1983)CrossRefGoogle Scholar
  35. 35.
    Sach, R., Petre, M.: Feedback: how does it impact software engineers? In: Proceedings of the 5th International Workshop on Co-operative and Human Aspects of Software Engineering, pp. 123–134. IEEE Press (2012)Google Scholar
  36. 36.
    Salinger, S.: Ein Rahmenwerk für die qualitative Analyse der Paarprogrammierung [German]. Dissertation (2013). http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000094430. Accessed 8 May 2017
  37. 37.
    Schulz, F.: Peer Feedback in der Hochschullehre hilfreich gestalten – Onlinegestütztes Peer Feedback in der Lehrerbildung mit der Plattform Peer Gynt. [German]. Dissertation (2013). https://kluedo.ub.uni-kl.de/frontdoor/index/index/year/2013/docId/3629. Accessed 11 May 2017
  38. 38.
    ScienceDirect (2017). http://www.sciencedirect.com. Accessed 12 May 2017
  39. 39.
    Sedelmaier, Y., Landes, D.: SWEBOS – The Software Engineering Body of skills (2015). https://www.researchgate.net/publication/275646070_SWEBOS_-_Software_Engineering_Body_of_Skills. Accessed 20 May 2017
  40. 40.
    Sherief, N., Abdelmoez, W., Phalp, K.T., Ali, R.: Modelling Users Feedback in Crowed-Based Requirements Engineering. An Empirical Study (2015). http://eprints.bournemouth.ac.uk/22518/. Accessed 20 May 2017
  41. 41.
    Six, B.: Einstellungen. Lexikon der Wissenschaft [German] (2000). http://www.spektrum.de/lexikon/psychologie/einstellungen/3914. Accessed 20 May 2017
  42. 42.
    WEBOFSCIENCE (2017). https://www.webofknowledge.com. Accessed 20 May 2017

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.University of Applied Sciences and Arts CoburgCoburgGermany

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