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Redesigning method engineering education through a trinity of blended learning measures

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
Języki publikacji
EN
Abstrakty
EN
This paper presents a teaching case of a Blended Learning (BL) approach that was applied to a course on Method Engineering (ME) intended for graduate Business Informatics (BIS) students. The main reason for transforming a Master course on ME from traditional to blended is to take advantage of combining frontal instruction with e-learning based instruction and at the same time reducing lecturers' workload in times of increasing student numbers in BIS and Computer Science (CS) areas. The BL approach consists of three parts, as it consists of the introduction of computer-supported peer assessment, interactive e-lectures, and digital examination. The approach has been reflected upon by course lecturers themselves and it was evaluated through two separate student surveys, from which a variety of positive outcomes can be deduced. Increased generation of feedback, an increase in student motivation, and improved understanding of the course content are three of these outcomes that stand out. On top of student related advantages, especially the BL parts concerning peer assessment and digital examination reduce teaching load. These findings are informative for both education researchers and instructors who are interested in embedding BL in BIS or CS education.
Rocznik
Tom
Strony
791--797
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
  • Department of Information and Computing Sciences, Faculty of Science, Utrecht University, Princetonplein 5, 3584 CC Utrecht, the Netherlands
  • Department of Information and Computing Sciences, Faculty of Science, Utrecht University, Princetonplein 5, 3584 CC Utrecht, the Netherlands
Bibliografia
  • 1. W. W. Porter, C. R. Graham, K. A. Spring, and K. R. Welch, “Blended learning in higher education: Institutional adoption and implementation,” Computers & Education, vol. 75, pp. 185–195, 2014, http://dx.doi.org/10.1016/j.compedu.2014.02.011.
  • 2. A. Norberg, C. D. Dziuban, and P. D. Moskal, “A timebased blended learning model,” On the Horizon, vol. 19, no. 3, pp. 207–216, 2011, http://dx.doi.org/10.1108/10748121111163913.
  • 3. B. van der Zwaan, Higher Education in 2040: A Global Approach. Amsterdam, the Netherlands: Amsterdam University Press, 2017.
  • 4. D. Garrison and H. Kanuka, “Blended learning: Uncovering its transformative potential in higher education,” The Internet and Higher Education, vol. 7, no. 2, pp. 95–105, 2004, http://dx.doi.org/10.1016/j.iheduc.2004.02.001.
  • 5. B. Jones, Motivating Students by Design: Practical Strategies for Professors. Blacksburg, USA: Brett D. Jones, 2018.
  • 6. R. M. Filius, R. A. de Kleijn, S. G. Uijl, F. J. Prins, H. V. Rijen, and D. E. Grobbee, “Strengthening dialogic peer feedback aiming for deep learning in SPOCs,” Computers & Education, vol. 125, pp. 86–100, 2018, http://dx.doi.org/10.1016/j.compedu.2018.06.004.
  • 7. D. G. Collings, H. Scullion, and P. M. Caligiuri, Eds., Global Talent Management, 2nd ed. New York, USA: Routledge, 2019.
  • 8. A. De Lucia, C. Gravino, R. Oliveto, and G. Tortora, “An experimental comparison of ER and UML class diagrams for data modelling,” Empirical Software Engineering, vol. 15, no. 5, pp. 455–492, 2010, http://dx.doi.org/10.1007/s10664-009-9127-7.
  • 9. R. M. Filius, R. A. de Kleijn, S. G. Uijl, F. J. Prins, H. V. Rijen, and D. E. Grobbee, “Promoting deep learning through online feedback in SPOCs,” Frontline Learning Research, vol. 6, no. 2, pp. 92–113, 2018, http://dx.doi.org/10.14786/flr.v6i2.350.
  • 10. N. Unkelos-Shpigel and I. Hadar, “Test first, code later: Educating for test driven development,” in Advanced Information Systems Engineering Workshops, R. Matulevičius and R. Dijkman, Eds. Cham, Switzerland: Springer International Publishing, 2018, pp. 186–192, http://dx.doi.org/10.1007/978-3-319-92898-2_16.
  • 11. B. Oates, Researching Information Systems and Computing. Thousand Oaks, USA: SAGE Publications, 2006.
  • 12. A. Strauss and J. Corbin, Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, USA: SAGE Publications, 1998.
  • 13. S. P. Balfour, “Assessing writing in MOOCs: Automated essay scoring and calibrated peer review,” Research & Practice in Assessment, vol. 8, pp. 40–48, 2013.
  • 14. A. F. Nield and M. G. Wintre, “Multiple-choice questions with an option to comment: Student attitudes and use,” Teaching of Psychology, vol. 13, no. 4, pp. 196–199, 1986, http://dx.doi.org/10.1207/s15328023top1304_6.
Uwagi
1. Track 5: Software and System Engineering
2. Technical Session: Joint 39th IEEE Software Engineering Workshop (SEW-39) and 6th International Workshop on Cyber-Physical Systems (IWCPS-6)
3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8525520d-a9ec-4019-a1c6-14d2ae93842d
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