Skip to main content
Have a personal or library account? Click to login
Exploring Artifact Definitions in Project Management Education: A Case Study in a French Engineering School Cover

Exploring Artifact Definitions in Project Management Education: A Case Study in a French Engineering School

By:   
Open Access
|Nov 2024

References

  1. AlYahmady, H. H., & Alabri, S. S. (2013). Using Nvivo for Data Analysis in Qualitative Research. International Interdisciplinary Journal of Education, 2(2).
  2. Ballesteros-Sánchez, L., Ortiz-Marcos, I., Rivero, R., & Ruiz, J. J. (2017). Project management training: An integrative approach for strengthening the soft skills of engineering students. International Journal of Engineering Education, 33(6), 19121926.
  3. Bouffartigue, P., & Gadéa, C. (1997). Les ingénieurs français: Spécificités nationales et dynamiques récentes d’un groupe professionnel. Revue Française de Sociologie, 38(2), 301326. 10.2307/3322935
  4. Boutinet, J.-P. (2012). Anthropologie du projet. Presses Universitaires de France. 10.3917/puf.bouti.2012.01
  5. Chipulu, M., Ojiako, U., Ashleigh, M., & Maguire, S. (2011). An Analysis of Interrelationships between Project Management and Student-Experience Constructs. Project Management Journal, 42(3), 91101. 10.1002/pmj.20225
  6. Cole, M. (1996). Cultural psychology: A once and future discipline. Harvard University Press.
  7. Collier-Reed, B. I., Case, J. M., & Linder, C. (2009). The experience of interacting with technological artefacts. European Journal of Engineering Education, 34(4), 295303. 10.1080/03043790902987352
  8. De Vries, M. J. (2005). Teaching about technology: An introduction to the philosophy of technology for non-philosophers. Springer.
  9. Guo, P., Saab, N., Post, L. S., & Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research, 102, 101586. 10.1016/j.ijer.2020.101586
  10. Heitmann, G. (1996). Project-oriented Study and Project-organized Curricula: A Brief Review of Intentions and Solutions. European Journal of Engineering Education, 21(2), 121131. 10.1080/03043799608923395
  11. Helle, L., Tynjälä, P., & Olkinuora, E. (2006). Project-Based Learning in Post-Secondary Education – Theory, Practice and Rubber Sling Shots. Higher Education, 51(2), 287314. 10.1007/s10734-004-6386-5
  12. Holsapple, C. W., & Joshi, K. D. (2001). Organizational knowledge resources. Decision Support Systems, 31(1), 3954. 10.1016/S0167-9236(00)00118-4
  13. Impedovo, M. A., Andreucci, C., Delserieys-Pedregosa, A., Coiffard, C., & Ginestié, J. (2015). Technical Objects between Categorisation and Learning: An Exploratory Case Study in French Middle School. Design and Technology Education, 20(2), 3245.
  14. Impedovo, M. A., Andreucci, C., & Ginestié, J. (2017). Mediation of artefacts, tools and technical objects: An international and french perspective. International Journal of Technology and Design Education, 27(1), 1930. 10.1007/s10798-015-9335-y
  15. Knorr-Cetina, C. (1999). Epistemic Cultures: How the sciences make knowledge. Harvard University Press.
  16. Lemaître, D. (2017). Current developments in the French engineering education system. European Journal of Engineering Education, 42(2), 131141. 10.1080/03043797.2016.1249342
  17. Marnewick, C. (2023). Student experiences of project-based learning in agile project management education. Project Leadership and Society, 4, 100096. 10.1016/j.plas.2023.100096
  18. Martínez, J. F., Borko, H., & Stecher, B. M. (2012). Measuring instructional practice in science using classroom artifacts: Lessons learned from two validation studies. Journal of Research in Science Teaching, 49(1), 3867. 10.1002/tea.20447
  19. Miettinen, R., & Virkkunen, J. (2005). Epistemic Objects, Artefacts and Organizational Change. Organization, 12(3), 437456. 10.1177/1350508405051279
  20. Nia, M. G., Harandi, M. F., & De Vries, M. (2019). Technology Development as a Normative Practice: A Meaning-Based Approach to Learning About Values in Engineering—Damming as a Case Study. Science and Engineering Ethics, 25(1), 5555. 10.1007/s11948-017-9999-7
  21. Nvivo (Version 12 Plus). (2018). [Logiciel]. Lumivero. www.lumivero.com
  22. Ojiako, U., Ashleigh, M., Chipulu, M., & Maguire, S. (2011). Learning and teaching challenges in project management. International Journal of Project Management, 29(3), 268268. 10.1016/j.ijproman.2010.03.008
  23. Ojiako, U., Chipulu, M., Ashleigh, M., Awinda, K., Samwinga, V., Brown, D., & Maguire, S. (2013). Pedagogical imperatives in the teaching of project management. International Journal of Operations & Production Management, 166(2), 6868. 10.1680/mpal.11.00012
  24. Paavola, S., Lipponen, L., & Hakkarainen, K. (2004). Models of Innovative Knowledge Communities and Three Metaphors of Learning. Review of Educational Research, 74(4), 557557. 10.3102/00346543074004557
  25. Rabardel, P. (1995). Les hommes et les technologies: Approche cognitive des instruments contemporains. A. Colin.
  26. Rodríguez, J., Laverón-Simavilla, A., Del Cura, J. M., Ezquerro, J. M., Lapuerta, V., & Cordero-Gracia, M. (2015). Project Based Learning experiences in the space engineering education at Technical University of Madrid. Advances in Space Research, 56(7), 13191319. 10.1016/j.asr.2015.07.003
  27. Rücker, M. T., & Pinkwart, N. (2018). The things that belong: A grounded theory study of student categorizations of complex technical artifacts. International Journal of Technology and Design Education, 28(3), 701701. 10.1007/s10798-017-9419-y
  28. Séris, J. P. (1994). La technique. PUF.
  29. Sharma, K. K., Israel, D., & Bhalla, B. (2021). Does previous work experience matter in students’ learning in higher project management education? Engineering, Construction and Architectural Management, 28(1), 424424. 10.1108/ECAM-01-2019-0015
  30. Strauss, A. L., & Corbin, J. M. (2003). Basics of qualitative research: Techniques and procedures for developing grounded theory (2. ed., [Nachdr.]). Sage Publ.
  31. Svensson, M., & Ingerman, Å. (2010). Discerning technological systems related to everyday objects: Mapping the variation in pupils’ experience. International Journal of Technology and Design Education, 20(3), 255255. 10.1007/s10798-009-9084-x
  32. Vermersch, P. (2014). L’entretien d’explicitation (8e édition augmentée). ESF éditeur.
  33. Vinck, D. (2009). De l’objet intermédiaire à l’objet-frontière. Revue d’anthropologie des connaissances, 3(1), 5151.
  34. Yin, R. K. (2018). Case study research and applications: Design and methods (Sixth edition). SAGE.
  35. Camerer, C. F., Dreber, A., Forsell, E., Ho, T.-H., Huber, J., Johannesson, M., Kirchler, M., Almenberg, J., Altmejd, A., Chan, T., Heikensten, E., Holzmeister, F., Imai, T., Isaksson, S., Nave, G., Pfeiffer, T., Razen, M., & Wu, H. (2016). Evaluating replicability of laboratory experiments in economics. Science. 10.1126/science.aaf0918
  36. Champely, S. (2020). pwr: Basic Functions for Power Analysis (R package version 1.3-0) [Computer software]. https://CRAN.R-project.org/package=pwr
  37. Cochran, W. (1977). Sampling techniques (3rd Ed.). John Wiley & Sons.
  38. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.
  39. Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98101. 10.1111/1467-8721.ep10768783
  40. DeBruine, L. (2021). faux: Simulation for Factorial Designs (R package version 1.1.0) [R]. https://debruine.github.io/faux/
  41. Errington, T. M., Mathur, M., Soderberg, C. K., Denis, A., Perfito, N., Iorns, E., & Nosek, B. A. (2021). Investigating the replicability of preclinical cancer biology. eLife, 10, e71601. 10.7554/eLife.71601
  42. Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175191. 10.3758/bf03193146
  43. Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology & Health, 25(10), 12291245. 10.1080/08870440903194015
  44. Funder, D. C., & Ozer, D. J. (2019). Evaluating Effect Size in Psychological Research: Sense and Nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156168. 10.1177/2515245919847202
  45. Glaser, B., & Strauss, A. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine Publishing.
  46. Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough?: An experiment with data saturation and variability. Field Methods, 18(1), 5982. 10.1177/1525822X05279903
  47. Hartell, E., & Buckley, J. (2021). Comparative judgement: An overview. In A. Marcus Quinn & T. Hourigan (Eds.), Handbook for Online Learning Contexts: Digital, Mobile and Open (pp. 289307). Springer International Publishing. 10.1007/978-3-030-67349-9_20
  48. Hoogeveen, S., Sarafoglou, A., Aczel, B., Aditya, Y., Alayan, A. J., Allen, P. J., Altay, S., Alzahawi, S., Amir, Y., Anthony, F.-V., Kwame Appiah, O., Atkinson, Q. D., Baimel, A., Balkaya-Ince, M., Balsamo, M., Banker, S., Bartoš, F., Becerra, M., Beffara, B., … Wagenmakers, E.-J. (2023). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain & Behavior, 13(3), 237283. 10.1080/2153599X.2022.2070255
  49. Jak, S., Jorgensen, T. D., Verdam, M. G. E., Oort, F. J., & Elffers, L. (2021). Analytical power calculations for structural equation modeling: A tutorial and Shiny app. Behavior Research Methods, 53(4), 13851406. 10.3758/s13428-020-01479-0
  50. Kimbell, R., Martin, G., Wharfe, W., Wheeler, T., Perry, D., Miller, S., Shepard, T., Hall, P., & Potter, J. (2005). E-scape portfolio assessment: Phase 1 report. Goldsmiths, University of London. http://research.gold.ac.uk/1527/
  51. Kimbell, R., Wheeler, T., Miller, S., & Pollitt, A. (2007). E-scape portfolio assessment: Phase 2 report. Goldsmiths, University of London. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/606018/0107_RichardKimball_et_al_e-scape2report.pdf
  52. Kimbell, R., Wheeler, T., Stables, K., Shepard, T., Martin, F., Davies, D., Pollitt, A., & Whitehouse, G. (2009). E-scape portfolio assessment: Phase 3 report. Goldsmiths, University of London.
  53. Lafit, G., Adolf, J. K., Dejonckheere, E., Myin-Germeys, I., Viechtbauer, W., & Ceulemans, E. (2021). Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920978738. 10.1177/2515245920978738
  54. Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863. 10.3389/fpsyg.2013.00863
  55. Lakens, D. (2019). The value of preregistration for psychological science: A conceptual analysis. Japanese Psychological Review, 62(3), 221230. 10.24602/sjpr.62.3_221
  56. Lakens, D. (2021). Sample size justification. PsyArXiv. 10.31234/osf.io/9d3yf
  57. Lakens, D., & Caldwell, A. R. (2021). Simulation-Based Power Analysis for Factorial Analysis of Variance Designs. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920951503. 10.1177/2515245920951503
  58. Lakens, D., & Evers, E. R. K. (2014). Sailing From the Seas of Chaos Into the Corridor of Stability: Practical Recommendations to Increase the Informational Value of Studies. Perspectives on Psychological Science, 9(3), 278292. 10.1177/1745691614528520
  59. Lakens, D., Pahlke, F., & Wassmer, G. (2023). Group Sequential Designs: A Tutorial. 10.31234/osf.io/x4azm
  60. Lakens, D., Scheel, A. M., & Isager, P. M. (2018). Equivalence testing for psychological research: A tutorial. Advances in Methods and Practices in Psychological Science, 1(2), 259269. 10.1177/2515245918770963
  61. Low, J. (2019). A pragmatic definition of the concept of theoretical saturation. Sociological Focus, 52(2), 131139. 10.1080/00380237.2018.1544514
  62. Makowski, D., Ben-Shachar, M. S., Patil, I., & Lüdecke, D. (2020). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306. 10.21105/joss.02306
  63. Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 943. 10.1126/science.aac4716
  64. Qin, X. (2023). Sample size and power calculations for causal mediation analysis: A Tutorial and Shiny App. Behavior Research Methods. 10.3758/s13428-023-02118-0
  65. Richard, F. D., Bond, C. F., & Stokes-Zoota, J. J. (2003). One Hundred Years of Social Psychology Quantitatively Described. Review of General Psychology, 7(4), 331363. 10.1037/1089-2680.7.4.331
  66. Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E., Bahník, Š., Bai, F., Bannard, C., Bonnier, E., Carlsson, R., Cheung, F., Christensen, G., Clay, R., Craig, M. A., Dalla Rosa, A., Dam, L., Evans, M. H., Flores Cervantes, I., … Nosek, B. A. (2018). Many analysts, one data set: Making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychological Science, 1(3), 337356. 10.1177/2515245917747646
  67. Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science, 11(5), 702712. 10.1177/1745691616658637
Language: English
Page range: 38 - 57
Submitted on: Jan 12, 2024
Accepted on: May 10, 2024
Published on: Nov 6, 2024
Published by: Virginia Tech
In partnership with: Paradigm Publishing Services

© 2024 Emilien Jacob, published by Virginia Tech
This work is licensed under the Creative Commons Attribution 4.0 License.