673
Views
0
CrossRef citations to date
0
Altmetric
Articles

Involving students in engineering course design: a combined approach based on constructive alignment and multi-criteria decision-making

ORCID Icon, ORCID Icon & ORCID Icon
Pages 647-666 | Received 17 Feb 2022, Accepted 31 Oct 2023, Published online: 06 Nov 2023

References

  • Allan, J. 1996. “Learning Outcomes in Higher Education.” Studies in Higher Education 21 (1): 93–108. https://doi.org/10.1080/03075079612331381487.
  • Anderson, T., and J. Shattuck. 2012. “Design-Based Research.” Educational Researcher 41 (1): 16–25. https://doi.org/10.3102/0013189X11428813.
  • Biggs, J. 1996. “Enhancing Teaching Through Constructive Alignment.” Higher Education 32 (3): 347–364. https://doi.org/10.1007/BF00138871.
  • Biggs, J., and C. Tang. 2011. Teaching for Quality Learning at University. McGraw-hill education (UK).
  • Blair, E., and K. Valdez Noel. 2014. “Improving Higher Education Practice Through Student Evaluation Systems: Is the Student Voice Being Heard?” Assessment & Evaluation in Higher Education 39 (7): 879–894. https://doi.org/10.1080/02602938.2013.875984.
  • Bloom, B. S. 1956. “Taxonomy of Educational Objectives. Vol. 1: Cognitive Domain.” New York: McKay 20 (24): 1.
  • Blumberg, P. 2009. “Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge.” Innovative Higher Education 34 (2): 93–103. https://doi.org/10.1007/s10755-009-9095-2.
  • Bovill, C. 2019. “A co-Creation of Learning and Teaching Typology: What Kind of co-Creation are you Planning or Doing?” International Journal for Students as Partners 3 (2): 91–98. https://doi.org/10.15173/ijsap.v3i2.3953.
  • Bovill, C. 2020a. Co-creating Learning and Teaching: Towards Relational Pedagogy in Higher Education. St Albans: Critical Publishing.
  • Bovill, C. 2020b. “Co-creation in Learning and Teaching: The Case for a Whole-Class Approach in Higher Education.” Higher Education 79 (6): 1023–1037. https://doi.org/10.1007/s10734-019-00453-w.
  • Bovill, C., and C. J. Bulley. 2011. “A Model of Active Student Participation in Curriculum Design: Exploring Desirability and Possibility.” In Improving Student Learning (18) Global Theories and Local Practices: Institutional, Disciplinary and Cultural Variations, edited by C. Rust, 176–188. Oxford: The Oxford Centre for Staff and Educational Development.
  • Bovill, C., A. Cook-Sather, and P. Felten. 2011. “Students as co-Creators of Teaching Approaches, Course Design, and Curricula: Implications for Academic Developers.” International Journal for Academic Development 16 (2): 133–145. https://doi.org/10.1080/1360144X.2011.568690.
  • Bovill, C., A. Cook-Sather, P. Felten, L. Millard, and N. Moore-Cherry. 2016. “Addressing Potential Challenges in co-Creating Learning and Teaching: Overcoming Resistance, Navigating Institutional Norms and Ensuring Inclusivity in Student–Staff Partnerships.” Higher Education 71 (2): 195–208. https://doi.org/10.1007/s10734-015-9896-4.
  • Brooman, S., S. Darwent, and A. Pimor. 2015. “The Student Voice in Higher Education Curriculum Design: Is There Value in Listening?” Innovations in Education and Teaching International 52 (6): 663–674. https://doi.org/10.1080/14703297.2014.910128.
  • Christie, M., and E. De Graaff. 2017. “The Philosophical and Pedagogical Underpinnings of Active Learning in Engineering Education.” European Journal of Engineering Education 42 (1): 5–16. https://doi.org/10.1080/03043797.2016.1254160.
  • Cober, R., E. Tan, J. Slotta, H. J. So, and K. D. Könings. 2015. “Teachers as Participatory Designers: Two Case Studies with Technology-Enhanced Learning Environments.” Instructional Science 43 (2): 203–228. https://doi.org/10.1007/s11251-014-9339-0.
  • Cook-Sather, A. 2011. “Layered Learning: Student Consultants Deepening Classroom and Life Lessons.” Educational Action Research 19 (1): 41–57. https://doi.org/10.1080/09650792.2011.547680.
  • Cook-Sather, A. 2014. “Multiplying Perspectives and Improving Practice: What Can Happen When Undergraduate Students Collaborate with College Faculty to Explore Teaching and Learning.” Instructional Science 42 (1): 31–46. https://doi.org/10.1007/s11251-013-9292-3.
  • Coşkun, S., Y. Kayıkcı, and E. Gençay. 2019. “Adapting Engineering Education to Industry 4.0 Vision.” Technologies 7 (1): 10. https://doi.org/10.3390/technologies7010010.
  • Crawley, E. F., J. Malmqvist, S. Östlund, D. R. Brodeur, and K. Edström. 2014. “The CDIO Approach.” In Rethinking Engineering Education, edited by Sören Östlund and Kristina Edström, 11–45. Cham: Springer.
  • Creswell, J. W. 2012. Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. Boston: Pearson Education, Inc.
  • Davis, B., and D. Sumara. 2002. “Constructivist Discourses and the Field of Education: Problems and Possibilites.” Educational Theory 52 (4): 409. https://doi.org/10.1111/j.1741-5446.2002.00409.x.
  • Dymova, L., P. Sevastjanov, and A. Tikhonenko. 2013. “A Direct Interval Extension of TOPSIS Method.” Expert Systems with Applications 40 (12): 4841–4847. https://doi.org/10.1016/j.eswa.2013.02.022.
  • Edström, K., J. Törnevik, M. Engström, and Å Wiklund. 2003. “Student Involvement in Principled Change: Understanding the Student Experience.” In Proceedings of the 11th International Symposium Improving Student Learning, OCSLD, Oxford, England.
  • Erpolat Taşabat, S. 2019. “A Novel Multicriteria Decision-Making Method Based on Distance, Similarity, and Correlation: DSC TOPSIS.” Mathematical Problems in Engineering 2019: 1–20.
  • Ginsberg, M. B., and R. J. Wlodkowski. 2009. Diversity and Motivation: Culturally Responsive Teaching in College. San Francisco: John Wiley & Sons.
  • Gulati, R., and T. Soni. 2015. “Digitization: A Strategic key to Business.” Journal of Advances in Business Management 1 (2): 60–67. https://doi.org/10.14260/jadbm/2015/8.
  • Hadgraft, R. G., and A. Kolmos. 2020. “Emerging Learning Environments in Engineering Education.” Australasian Journal of Engineering Education 25 (1): 3–16. https://doi.org/10.1080/22054952.2020.1713522.
  • Hwang, C. L., and K. Yoon. 1981. “Methods for Multiple Attribute Decision Making.” In Multiple Attribute Decision Making, edited by M. Beckmann and H. P. Künzi, 58–191. Berlin, Heidelberg: Springer.
  • Kamvysi, K., K. Gotzamani, A. Andronikidis, and A. C. Georgiou. 2014. “Capturing and Prioritizing Students’ Requirements for Course Design by Embedding Fuzzy-AHP and Linear Programming in QFD.” European Journal of Operational Research 237 (3): 1083–1094. https://doi.org/10.1016/j.ejor.2014.02.042.
  • Könings, K. D., C. Bovill, and P. Woolner. 2017. “Towards an Interdisciplinary Model of Practice for Participatory Building Design in Education.” European Journal of Education 52 (3): 306–317. https://doi.org/10.1111/ejed.12230.
  • Könings, K. D., and S. McKenney. 2017. “Participatory Design of (Built) Learning Environments.” European Journal of Education 52 (3): 247–252. https://doi.org/10.1111/ejed.12232.
  • Könings, K. D., T. Seidel, and J. J. van Merriënboer. 2014. “Participatory Design of Learning Environments: Integrating Perspectives of Students, Teachers, and Designers.” Instructional Science 42 (1): 1–9. https://doi.org/10.1007/s11251-013-9305-2.
  • Krathwohl, D. R. 2002. “A Revision of Bloom's Taxonomy: An Overview.” Theory Into Practice 41 (4): 212–218. https://doi.org/10.1207/s15430421tip4104_2.
  • Kuh, G. D., J. Kinzie, J. H. Schuh, and E. J. Whitt. 2011. Student Success in College: Creating Conditions That Matter. San Francisco: John Wiley & Sons.
  • Li, G., C. Yuan, S. Kamarthi, M. Moghaddam, and X. Jin. 2021. “Data Science Skills and Domain Knowledge Requirements in the Manufacturing Industry: A gap Analysis.” Journal of Manufacturing Systems 60: 692–706. https://doi.org/10.1016/j.jmsy.2021.07.007.
  • Liu, S. F., Y. L. Lee, Y. Z. Lin, and C. F. Tseng. 2013. “Applying Quality Function Deployment in Industrial Design Curriculum Planning.” International Journal of Technology and Design Education 23 (4): 1147–1160. https://doi.org/10.1007/s10798-012-9228-2.
  • Lizzio, A., K. Wilson, and R. Simons. 2002. “University Students’ Perceptions of the Learning Environment and Academic Outcomes: Implications for Theory and Practice.” Studies in Higher Education 27 (1): 27–52. https://doi.org/10.1080/03075070120099359.
  • Lorenz, M., M. Rüßmann, R. Strack, K. L. Lueth, and M. Bolle. 2015. Man and Machine in Industry 4.0: How Will Technology Transform the Industrial Workforce Through 2025. The Boston Consulting Group, 2.
  • Malmqvist, J., M. Knutson Wedel, and M. Enelund. 2011. “Constructive Alignment (CA) for Degree Projects-Intended Learning Outcomes, Teaching and Assessment.” In Proceedings of 7th International CDIO Conference, Copenhagen, Denmark.
  • Martens, S. E., S. N. Meeuwissen, D. H. Dolmans, C. Bovill, and K. D. Könings. 2019. “Student Participation in the Design of Learning and Teaching: Disentangling the Terminology and Approaches.” Medical Teacher 41: 1203–1205. https://doi.org/10.1080/0142159X.2019.1615610.
  • McKenney, S., and T. C. Reeves. 2018. Conducting Educational Design Research. London: Routledge.
  • Meyers, N. M., and D. D. Nulty. 2009. “How to use (Five) Curriculum Design Principles to Align Authentic Learning Environments, Assessment, Students’ Approaches to Thinking and Learning Outcomes.” Assessment & Evaluation in Higher Education 34 (5): 565–577. https://doi.org/10.1080/02602930802226502.
  • Ochieng, P. A. 2009. “An Analysis of the Strengths and Limitation of Qualitative and Quantitative Research Paradigms.” Problems of Education in the 21st Century 13: 13.
  • Olson, D. L. 2004. “Comparison of Weights in TOPSIS Models.” Mathematical and Computer Modelling 40 (7-8): 721–727. https://doi.org/10.1016/j.mcm.2004.10.003.
  • Ryan, A., and D. Tilbury. 2013. Flexible Pedagogies: New Pedagogical Ideas. London.: Higher Education Academy.
  • Seale, J. 2009. “Doing Student Voice Work in Higher Education: An Exploration of the Value of Participatory Methods.” British Educational Research Journal 36 (6): 995–1015. https://doi.org/10.1080/01411920903342038.
  • Shih, H. S., H. J. Shyur, and E. S. Lee. 2007. “An Extension of TOPSIS for Group Decision Making.” Mathematical and Computer Modelling 45 (7–8): 801–813. https://doi.org/10.1016/j.mcm.2006.03.023.
  • Skoogh, A., B. Johansson, and E. J. Williams. 2012, December. “Constructive Alignment in Simulation Education.” In Proceedings of the 2012 Winter Simulation Conference (WSC), 1–11. IEEE.
  • Thanassoulis, E., P. K. Dey, K. Petridis, I. Goniadis, and A. C. Georgiou. 2017. “Evaluating Higher Education Teaching Performance Using Combined Analytic Hierarchy Process and Data Envelopment Analysis.” Journal of the Operational Research Society 68 (4): 431–445. https://doi.org/10.1057/s41274-016-0165-4.
  • Triantaphyllou, E. 2000. “Multi-criteria Decision Making Methods.” In Multi-Criteria Decision Making Methods: A Comparative Study, edited by Panos M. Pardalos and Donald Hearn, 5–21. Boston, MA: Springer.
  • Trigwell, K., and M. Prosser. 1991. “Improving the Quality of Student Learning: The Influence of Learning Context and Student Approaches to Learning on Learning Outcomes.” Higher Education 22 (3): 251–266. https://doi.org/10.1007/BF00132290.
  • Tsinidou, M., V. Gerogiannis, and P. Fitsilis. 2010. “Evaluation of the Factors That Determine Quality in Higher Education: An Empirical Study.” Quality Assurance in Education 18 (3): 227–244.
  • Tzeng, G. H., and J. J. Huang. 2011. Multiple Attribute Decision Making: Methods and Applications. Boca Raton: CRC press.
  • Vanfretti, L., and M. Farrokhabadi. 2015. “Consensus-based Course Design and Implementation of Constructive Alignment Theory in a Power System Analysis Course.” European Journal of Engineering Education 40 (2): 206–221. https://doi.org/10.1080/03043797.2014.944101.
  • Velasquez, M., and P. T. Hester. 2013. “An Analysis of Multi-Criteria Decision Making Methods.” International Journal of Operations Research 10 (2): 56–66.
  • Wang, X., Y. Su, S. Cheung, E. Wong, and T. Kwong. 2013. “An Exploration of Biggs’ Constructive Alignment in Course Design and its Impact on Students’ Learning Approaches.” Assessment & Evaluation in Higher Education 38 (4): 477–491. https://doi.org/10.1080/02602938.2012.658018.
  • Wee, D., R. Kelly, J. Cattel, and M. Breunig. 2015. “Industry 4.0-how to Navigate Digitization of the Manufacturing Sector.” McKinsey & Company 58: 7–11.
  • Wirth, R., and J. Hipp. 2000, April. “CRISP-DM: Towards a Standard Process Model for Data Mining.” In Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining, edited by Rakesh Agrawal and Paul Stolorz, 29–39. London, UK: Springer-Verlag.
  • Wolf-Wendel, L., K. Ward, and J. Kinzie. 2009. “A Tangled Web of Terms: The Overlap and Unique Contribution of Involvement, Engagement, and Integration to Understanding College Student Success.” Journal of College Student Development 50 (4): 407–428. https://doi.org/10.1353/csd.0.0077.
  • Wood, P., and W. Cajkler. 2016. “A Participatory Approach to Lesson Study in Higher Education.” International Journal for Lesson and Learning Studies 5 (1): 4–18. https://doi.org/10.1108/IJLLS-08-2015-0027.
  • Yüksel, F. Ş., A. N. Kayadelen, and F. Antmen. 2023. “A Systematic Literature Review on Multi-Criteria Decision Making in Higher Education.” International Journal of Assessment Tools in Education 10 (1): 12–28. https://doi.org/10.21449/ijate.1104005.
  • Zavadskas, E. K., Z. Turskis, and S. Kildienė. 2014. “State of art Surveys of Overviews on MCDM/MADM Methods.” Technological and Economic Development of Economy 20 (1): 165–179. https://doi.org/10.3846/20294913.2014.892037.
  • Zopounidis, C., and M. Doumpos. 2002. “Multicriteria Classification and Sorting Methods: A Literature Review.” European Journal of Operational Research 138 (2): 229–246. https://doi.org/10.1016/S0377-2217(01)00243-0.