An Assessment Instrument of Technological Literacies in Makerspaces and FabLabs

Journal of Engineering Education

Volumn 106, Issue 1, 2017, Pages 149-175

  Blikstein, Paulo ^a   Kabayadondo, Zaza ^b   Martin, Andrew ^a   Fields, Deborah ^c  

^a STANFORD UNIVERSITY   (United States)

^b SMITH COLLEGE   (United States)

^c UTAH STATE UNIVERSITY   (United States)

Author keywords

assessment tools; constructionism; design practice; FabLabs; project based learning

Indexed keywords

ENGINEERING EDUCATION; FABRICATION; ITERATIVE METHODS;

ASSESSMENT INSTRUMENTS; ASSESSMENT TOOL; CONSTRUCTIONISM; DESIGN PRACTICE; EXPLORATION TECHNOLOGIES; FABLAB; FABRICATION TECHNOLOGIES; PERFORMANCE; PROJECT BASED LEARNING; TECHNOLOGICAL LITERACY;

STUDENTS;

EID: 85010843389     PISSN: 10694730     EISSN: 21689830     Source Type: Journal    
DOI: 10.1002/jee.20156     Document Type: Article

References (55)

1. Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Greenwich, CT: Information Age.
2. Barron, B. (2006). Interest and self-sustained learning as catalysts of development: A learning ecology perspective. Human Development, 49, 193–224.
3. Blikstein, P. (2013). Digital fabrication and ‘making’ in education: The democratization of invention. In J. Walter-Herrmann & C. Büching (Eds.), FabLabs: Of machines, makers and inventors (pp. 203–221). Bielefeld: Transcript Publishers.
4. Blikstein, P., & Worsley, M. (2016). Children are not hackers: Building a culture of powerful ideas, deep learning, and equity in the Maker Movement. In K. Peppler, E. Halverson, & Y. Kafai (Eds.), Makeology: Makerspaces as learning environments (Volume 1, pp. 64–79), New York, NY: Routledge.
5. Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2004). The concept of validity. Psychological Review, 111(4), 1061–1071.
6. Chu, S. K. W., Tse, S., & Chow, K. (2011). Using collaborative teaching and inquiry project-based learning to help primary school students develop information literacy and information skills. Library & Information Science Research, 33(2), 132–143.
7. Collins, A., Brown, J. S., & Holum, A. (1991). Cognitive apprenticeship: Making thinking visible. American Educator, 15(3), 6–11.
8. Conde, M., Miguelanez, S., Molina, M., Abad, F., & Riaza, B. (2011). Informational literacy and information and communication technologies use by secondary education students in Spain: A descriptive study. Contemporary Issues in Education Research (CIER), 4(4), 1–12.
9. Crooks, T. J., Kane, M. T., & Cohen, A. S. (1996). Threats to the valid use of assessment. Assessment in Education, 3(3), 265–285.
10. Denner, J., & Werner, L. (2011). Measuring computational thinking in middle school using game programming. American Educational Research Association Conference, New Orleans, LA.
11. Denner, J., Werner, L., & Ortiz, E. (2012). Computer games created by middle school girls: Can they be used to measure understanding of computer science concepts? Computers and Education, 58(1), 240–249.
12. DeVellis, R. F. (2016). Scale development: Theory and applications (4th edn). Thousand Oaks, CA: Sage.
13. Dewey, J. (1916). Democracy and education. New York, NY: The Free Press.
14. Fields, D. A. (2009). What do students gain from a week at science camp? Youth perceptions and the design of an immersive research-orieted astronomy camp. International Journal of Science Education, 31(2), 151–171.
15. Gee, J. P. (2004). Situated language and learning: A critique of traditional schooling. New York, NY: Routledge.
16. Gençtürk, E., Gökçek, T., & Güneş, G. (2010). Reliability and validity study of the technology proficiency self-assessment scale. Procedia – Social and Behavioral Sciences, 2(2), 2863–2867.
17. Gershenfeld, N. (2008). Fab: The coming revolution on your desktop – From personal computers to personal fabrication. New York, NY: Basic Books.
18. Green, J., Yu, S., & Copeland, D. (2014). Measuring critical components of digital literacy and their relationships with learning. Computers and Education, 76, 55–69.
19. Griffin, D., & Tversky, A. (1992) The weighing of evidence and the determinants of confidence. Cognitive Psychology, 24, 411–435.
20. Hargittai, E. (2005). Survey measures of web-oriented digital literacy. Social Science Computer Review, 23(3), 371–379.
21. 2L). Computers and Education, 77, 1–12.
22. International Society for Technology in Education. (2007). National Education Technology Standards for Students. www.iste.org/Content/NavigationMenu/NETS/ForStudents/NETS_for_Students.htm
23. International Technology Education Association. (1996). Technology for all Americans: A rationale and structure for the study of technology. Reston, VA. http://www.iteawww.org
24. Kafai, Y. B. (2006). Constructionism. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 35–46). New York, NY: Cambridge University Press.
25. Kafai, Y. B., & Peppler, K. A. (2011). Youth, technology, and DIY developing participatory competencies in creative media production. Review of Research in Education, 35(1), 89–119.
26. Koller, M., & Stahel, W. A. (2011). Sharpening Wald-type inference in robust regression for small samples. Computational Statistics and Data Analysis, 55(8), 2504–2515.
27. Koriat, A., Lichtenstein, S., & Fischloff, B. (1980). Reasons for confidence. Journal of Experimental Psychology: Human Learning and Memory, 6, 107–118.
28. Lebeaume, J., & Perez, W. G. (2012). How do the interactive white board and the radio frequency identification and tracking system work? Exploration of pupils' spontaneous knowledge and didactical proposals for technology education. In PATT 26 Conference; Technology Education in the 21st Century, Stockholm, Sweden, pp. 293–300. Linköping University Electronic Press.
29. Lei, J., Shen, J., & Johnson, L. (2014). Digital technologies and assessment in the twenty-first-century schooling. Contemporary Trends and Issues in Science Education, 41, 185–200.
30. Lewis, T., Petrina, S., & Hill, A. M. (1998). Problem posing – Adding a creative increment to technological problem solving. Journal of Industrial Teacher Education, 36(1), 5–35.
31. Lichtenstein, S., & Fischhoff, B. (1977). Do those who know more also know more about how much they know? The calibration of probability judgments. Organizational Behavior and Human Performance, 20, 159–183.
32. Litt, E. (2013). Measuring users' internet skills: A review of past assessments and a look toward the future. New Media & Society, 15(4), 612–630.
33. Livingstone, S., Van Couvering, E., & Thumin, N. (2008). Converging traditions of research on media and information literacies. In J. Coiro, M. Knobel, C. Lankshear, & D. Leu (Eds.), Handbook of research on new literacies (pp. 103–132). New York, NY: Lawrence Erlbaum.
34. Martinez, S. L., & Stager, G. S. (2013). Invent to learn: Making, tinkering and engineering in the classroom. Torrance, CA: Constructing Modern Knowledge Press.
35. Mikhak, B., Leon, C., Gonton, T., Gershenfeld, N., McEnnis, C., & Taylor, J. (2002). Fab Lab: An alternative model of ICT for development. ThinkCycle: Development by design (dyd02). Bangalore, India: ThinkCycle.
36. National Academy of Engineering and National Research Council. (2006.) Tech Tally: Approaches to assessing technological literacy. Washington, DC: National Academies Press.
37. National Assessment of Educational Progress. (2014). Technology and engineering literacy framework for the 2014 National Assessment of Educational Progress. https://www.nagb.org/publications/frameworks/technology/2014-technology-framework.html
38. Next Generation Science Standards Lead States. (2013). Next Generation Science Standards: For States, By States [Website] http://www.nextgenscience.org/
39. Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
40. Papert, S. (1991). Situating constructionism. In S. Papert & I. Harel (Eds.), Constructionism (pp. 1–11). Cambridge, MA: MIT Press.
41. Pearson, G. (2007). Assessment of technological literacy in the United States. Design and Technology: An International Journal, 12(2), 87–97.
42. Peppler, K., & Glosson, D. (2013). Stitching circuits: Learning about circuitry through e-textile materials. Journal of Science Education and Technology, 22(5), 751–763.
43. Petrich, M., Wilkinson, K., & Bevan, B. (2013). It looks like fun, but are they learning? In M. Honey & D. Kanter, (Eds.), Design, make, play: Growing the next generation of STEM innovators (pp. 50–70). New York, NY: Routledge.
44. Piaget, J. (1929). The child's conception of the world. New York, NY: Harcourt, Brace and Co.
45. Piaget, J. (1974). To understand is to invent. New York, NY: Penguin Books.
46. Remold, J., Verdugo, R., & Michalchik, V. (2013). California tinkering afterschool network: Pilot year evaluation report. SRI. http://www.sri.com/sites/default/files/publications/ca-tinkering-afterschool-network-evaluation-report-final_web_1.pdf
47. Ro, H. K., Merson, D., Lattuca, L. R., & Terenzini, P. T. (2015). Validity of the contextual competence scale for engineering students. Journal of Engineering Education, 104(1), 35–54.
48. Smith, J. J., Cheruvelil, K. S., & Auvenshine, S. (2013). Assessment of student learning associated with tree thinking in an undergraduate introductory organismal biology course. CBE Life Sciences Education, 12(3), 542–552.
49. Velayutham, S., Aldridge, J., & Fraser, B. (2011) Development and validation of an instrument to measure students' motivation and self-regulation in science learning. International Journal of Science Education, 33(15), 2159–217.
50. Vygotsky, L. S. (1978). Mind in society. M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds. Cambridge, MA: Harvard University Press.
51. Werner, J., Denner, L., & Campe, S. (2006). IT fluency from a project-based program for middle school students. Journal of Computer Science Education Online, 2, 205–6.
52. Worsley, M., & Blikstein, P. (2014). Analyzing engineering design through the lens of learning analytics. Journal of Learning Analytics, 1(2), 151–186.
53. Yoon Yoon, S., Evans, M. G., & Strobel, J. (2014). Validation of the Teaching Engineering Self-Efficacy Scale for K-12 teachers: A structural equation modeling approach. Journal of Engineering Education, 103(3), 463–485.
54. Zimmerman, B. J. (1998). Academic studying and the development of personal skill: A self-regulatory perspective. Educational Psychologist, 33, 73–86.
55. Zylka, J., Muller, W., & Martins, S. W. (2011). Media literacy worldwide: Similarities and differences of theoretical and practical approaches. Proceedings of the Global Engineering Education Conference (EDUCON), Amman, Jordan.