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Journal of Computing in Higher Education

Erschienen in:

03.02.2018

The influence of perceived constraints during needs assessment on design conjecture

verfasst von: Jill Stefaniak, John Baaki, Brent Hoard, Laura Stapleton

Erschienen in: Journal of Computing in Higher Education | Ausgabe 1/2018

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Abstract

Needs assessment is a fundamental step in the instructional design process where instructional designers must determine the difference between the current state of affairs and a desired state. Throughout the needs assessment process, the instructional designer must feel comfortable making decisions and assumptions based on the information that has been provided for a project. We refer to the ability to make these decisions with limited information as design conjecture. This research aims to explore the relationship between needs assessment and design conjecture by examining the influence of perceived constraints on instructional designers’ ability to make decisions. A total of 47 instructional designers participated in a design session where they were asked to design an intervention for a given scenario while using a think-aloud protocol. We dissected the design sessions to explore how the instructional designers conjectured over needs assessment topics. The results point to recommendations for how we can align and strengthen the relationship between analysis and conjecture in an instructional design context.

Vorheriger Artikel Design tools in practice: instructional designers report which tools they use and why

Nächster Artikel Supporting the development of collaboration and feedback skills in instructional designers

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Altschuld, J. W., & Watkins, R. (2014). A primer on needs assessment. More than 40 years of research and practice. In J. W. Altschuld & R. Watkins (Eds.), Needs assessment: Trends and a view toward the future. New directions for Evaluation 144 (pp. 5–18). London: Wiley.

Altschuld, J. W., & Witkin, B. R. (2000). From needs assessment to action: Transforming needs into solution strategies. San Francisco: Sage.

Baaki, J., Tracey, M. W., & Hutchinson, A. (2016). Give us something to react to and make it rich: Designers reflecting-in-action with external representations. International Journal of Technology and Design Education, 27, 667–682.CrossRef

Bannan-Ritland, B. (2001). Teaching instructional design: An action learning approach. Performance Improvement Quarterly, 14(2), 37–52.CrossRef

Boling, E. C., Hough, M., Krinsky, H., Saleem, H., & Stevens, M. (2012). Cutting the distance in distance education: Perspectives on what promotes positive, online learning experiences. The Internet and Higher Education, 15(2), 118–126.CrossRef

Branch, R. M., & Kopcha, T. J. (2014). Instructional design models. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (4th ed., pp. 77–87). London: Routledge.CrossRef

Brethower, D. M. (2006). Systemic issues. In J. A. Pershing (Ed.), Handbook of human performance technology (3rd ed., pp. 111–137). San Francisco, CA: Pfeiffer.

Burner, K. J. (2010). From performance analysis to training needs assessment. In K. H. Silber & W. R. Foshay (Eds.), Handbook of improving performance in the workplace: Instructional design and training delivery (Vol. 1, pp. 144–183). San Francisco, CA: Pfeiffer.

Burton, A., Shadbolt, N., Rugg, G., & Hedgecock, A. (1990). The efficacy of knowledge elicitation techniques: A comparison across domains and levels of expertise. Knowledge Acquisition, 2(2), 167–178.CrossRef

Cobb, P., Confrey, J., DiSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.CrossRef

Dalziel, J., Conole, G., Wills, S., Walker, S., Bennett, S., Dobozy, E., et al. (2016). The Larnaca declaration on learning design. Journal of Interactive Media in Education, 1(7), 1–24.

Ericsson, K. A., & Simon, H. A. (1998). How to study thinking in everyday life: Contrasting think-aloud protocols with descriptions and explanations of thinking. Mind, Culture, and Activity, 5(3), 178–186.CrossRef

Ertmer, P. A., & Cennamo, K. S. (1993). Teaching instructional design: An apprenticeship model. Performance Improvement Quarterly, 8(4), 43–58.CrossRef

Ertmer, P. A., Stepich, D. A., York, C. S., Stickman, A., Wu, X. L., Zurek, S., et al. (2008). How instructional design experts use knowledge and experience to solve ill-structured problems. Performance Improvement Quarterly, 21(1), 17–42.CrossRef

Hoard, B., & Stefaniak, J. E. (2016). Knowledge of the human performance technology practitioner relative to ISPI Human Performance Technology Standards and the degree of standard acceptance by the field. Performance Improvement Quarterly, 29(1), 9–33.CrossRef

Kaufman, R. (1983). A holistic planning model. A system approach for improving organizational effectiveness and impact. Performance and Instruction Journal, 22(8), 3–12.CrossRef

Kaufman, R. (1999). Mega planning: Practical tools for organizational success. Thousand Oaks, CA: Sage.

Kaufman, R., & Guerra-Lopez, I. (2013). Needs assessment for organizational success. Alexandria, VA: ASTD.

Kaufman, R., Oakley-Brown, H., Watkins, R., & Leigh, D. (2003). Strategic planning for success: Aligning people, performance, and payoffs. San Francisco, CA: Jossey-Bass.

Kenny, R. F., Zhang, Z., Schwier, R. A., & Campbell, K. (2005). A review of what instructional designers do: Questions answered and questions not asked. Canadian Journal of Learning and Technology, 31(1). Retrieved April 12, 2017 from http://www.cjlt.ca/index.php/cjlt/article/view/147/140.

Koszalka, T. A., Russ-Eft, D. F., & Reiser, R. (2013). Instructional designer competencies: The Standards (4th ed.). Charlotte, NC: Information Age Publishing.

Lee, Y. F., Altschuld, J. W., & White, J. L. (2007). Effects of multiple stakeholders in identifying and interpreting perceived needs. Evaluation and Program Planning, 30(1), 1–9.CrossRef

Leigh, D., Watkins, R., Platt, W. A., & Kaufman, R. (2000). Alternate models of needs assessment: Selecting the right one for your organization. Human Resource Development Quarterly, 11(1), 87–93.CrossRef

Mager, R. F., & Pipe, P. (1997). Analyzing performance problems (3rd ed.). Atlanta, GA: The Center for Effective Performance, Inc.

Morrison, G. R., Ross, S., Kalman, H., & Kemp, J. (2013). Designing effective instruction (7th ed.). Hoboken, NJ: Wiley.

Pershing, J. A. (2006). Human performance technology fundamentals. In J. A. Pershing (Ed.), Handbook of human performance technology (3rd ed., pp. 5–26). San Francisco, CA: Pfeiffer.

Peterson, T. O. (2004). From felt need to actual need: A multi-method multi-sample approach to needs assessment. Performance Improvement Quarterly, 17(1), 5–21.CrossRef

Reigeluth, C. M. (2013). Instructional design theories and models: An overview of their current status. Hoboken, NJ: Taylor and Francis.

Rossett, A. (1982). A typology for generating needs assessments. Journal of Instructional Development, 6(1), 28–33.CrossRef

Rossett, A. (1987). Training needs assessment. Englewood Cliffs, NJ: Educational Technology Publishing Co.

Rowland, G. (1992). What do instructional designers actually do? An initial investigation of expert practice. Performance Improvement Quarterly, 5(2), 65–86.CrossRef

Rummler, G. A., & Brache, A. P. (2013). Improving performance: How to manage the white space on the organization chart (3rd ed.). New York: Jossey-Bass.

Sandoval, W. (2014). Conjecture mapping: An approach to systematic educational design research. Journal of the learning sciences, 23(1), 18–36.CrossRef

Sleezer, C. M. (1992). Needs assessment: Perspectives from the literature. Performance Improvement Quarterly, 5(2), 34–46.CrossRef

Sugar, W. (2014). Studies of ID practices: A review and synthesis of research on ID current practices. London: Springer.CrossRef

Van Tiem, D. M., Moseley, J. L., & Dessinger, J. C. (2012). Fundamentals of performance improvement (3rd ed.). San Francisco, CA: Pfeiffer.

Watkins, R., Leigh, D., Platt, W., & Kaufman, R. (1998). Needs assessment—A digest, review, and comparison of needs assessment literature. Performance Improvement, 37(7), 40–53.CrossRef

Wedman, J. (2014). Needs assessments in the private sector. New Directions for Evaluation, 2014(144), 47–60.CrossRef

Wedman, J., & Tessmer, M. (1993). Instructional designers’ decisions and priorities: A survey of design practice. Performance Improvement Quarterly, 6, 43–53.CrossRef

Williams, D. D., South, J. B., Yanchar, S. C., Wilson, B. G., & Allen, S. (2011). How do instructional designers evaluate? A qualitative study of evaluation in practice. Educational Technology Research and Development, 59(6), 885–907.CrossRef

Wilmoth, F. S., Prigmore, C., & Bray, M. (2010). HPT models: An overview of the major models in the field. In R. Watkins & D. Leigh (Eds.), Handbook of improving performance in the workplace: Selecting and implementing performance interventions (Vol. 2, pp. 5–26). San Francisco: Pfeiffer.

Titel: The influence of perceived constraints during needs assessment on design conjecture
verfasst von: Jill Stefaniak
John Baaki
Brent Hoard
Laura Stapleton
Publikationsdatum: 03.02.2018
Verlag: Springer US
Erschienen in: Journal of Computing in Higher Education / Ausgabe 1/2018
Print ISSN: 1042-1726
Elektronische ISSN: 1867-1233
DOI: https://doi.org/10.1007/s12528-018-9173-5

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