Pomen kognitivnih in afektivnih procesov pri delu z računalnikom
DOI:
https://doi.org/10.37886/Ključne besede:
afektivni procesi, delo, izobraževanje, kognitivni procesi, učenje, umetna inteligenca, poslovni procesi, računalnikPovzetek
Raziskovalno vprašanje (RV): Zakaj in kako meriti človekove občutke pri delu in učenju z računalnikom? Ali v strojih (računalnikih, robotih), ki izvajajo takšne binarne zapise, poteka samo simulacija kognitivnih fenomenov in njihovih procesov, ali jih le–ti dejansko izražajo, torej znajo razmišljati?
Namen: Prikaz pomena kognitivnih in afektivnih procesov pri uporabi računalnika in IKT, tako pri učenju kot pri vsakdanjem delu.
Metoda: Primerjalna metoda, na podlagi katere smo primerjali dosedanje znanstvene izsledke in na podlagi le–teh oblikovali zaključke.
Rezultati: Človek ima pri učenju aktivno vlogo in uporaba IKT mu omogoča, da skozi procese razmišljanja in izmenjavo stališč rešuje zadane probleme in tako na osebnostni (izobraževalni ravni) kot poslovni ravni dosega odlične rezultate. Pri samem učenju in delu z računalnikom človek potrebuje notranjo motivacijo, na katero povečanje vplivajo pozitivni afektivni procesi in tako dobro vplivajo tudi na kognitivne procese.
Organizacija: Poznavanje generacijskih značilnosti in njihovo pravo izkoriščanje, danes postaja konkurenčna prednost organizacij. Mlajše generacije odraščajo z računalniki in tega dejstva se morajo zavedati tako učitelji kot menedžerji, ter prilagoditi učne in poslovne procese zahtevam informacijsko–komunikacijske tehnologije.
Družba: V 21. st. živimo v družbi znanja, ki je nepogojno povezana in odvisna od razvoja informacijske tehnologije. Digitalna pismenost je postala vsakdanji pojem in tega se je začela zavedati tudi družba sama, ki je začela nuditi izobraževalne programe računalniškega opismenjevanje vsem generacijskim skupinam.
Originalnost: V članku podajamo strnjeno sintezo raziskav in stališč avtorjev, zabeleženih v zadnjih 25 let, ter jih kombiniramo z lastnimi zaključki, ki temeljijo na teh stališčih.
Omejitve/nadaljnje raziskovanje: Temeljna omejitev je, da gre za primerjalni članek, ki gradi na stališčih in sklepih različnih avtorjev, ni pa bila izvedena lastna znanstvena raziskava, na kateri bi odkrili nova dognanja.
Literatura
1. Abramson, I. C., Curb, A. L. & Barber, R. K. (2011). A bibliography of articles of interest to teachers of psychology appearing in psychological reports 1955–2010. Psychological Reports, 108, 192–212. doi: 10.2466/11.pr0.108.1.182-212
2. Bechtel, W. (2008). Mental Mechanisms: Philosophical Perspectives on Cognitive Neurosciences. New York: Routledge.
3. Bisson, P., Stephenson, E., & Vigurie, S. P. (2010). The global grid. McKinsey Quarterly. Pridobljeno na https://www.mckinseyquarterly.com
4. Blaye, A., Light, P., Joiner, R., & Sheldon, S. (1991). Collaboration as a facilitator of planning and problem solving on a computer-based task. British Journal of Developmental Psychology, 9(4), 471–483. doi: 10.1111/j.2044-835X.1991.tb00890.x
5. Candy, P. C. (1991). Self–direction for lifelong learning: A comprehensive guide to theory and practice. San Fransisco: Jossey Bass.
6. Coles, M. J. (1995). Critical thinking, talk and a community of inquiry in the primary school. Language and Education, 9(3), 161–177.
7. Crook, C. (1994). Computers and the collaborative experience of learning. London: Routledge.
8. Dawson, M. R. W. (1998). Understanding Cognitive Science. Oxford: Blackwell.
9. Ensmenger, N. (2012). The digital construction of technology: Rethinking the history of computers in society. Technology and Culture, 53(4), 753–776. Pridobljeno na http://search.proquest.com/docview/1240308418?accountid=28931
10. Gasar, S., & Jakšič, J. (2001). Procesiranje informacij: primerjava človek – računalnik. Organizacija, 34(2), 75–82.
11. Gelepithis, A. M. P. (2004). Remarks on the foundations of cybernetics and cognitive science. Kybernetes, 33(9), 1396–1410. doi: 10.1108/03684920410556043
12. Gelston, S. (2008). Gen Y, gen X and the baby boomers: workplace generation wars. Pridobljeno na http://www.cio.com/article/178050/Gen_Y_Gen_X_and_the_Baby_Boomers_Workplace_
Generation_Wars?page=1&taxonomyId=3185
13. Gendolla, E. H. G., Wright, A. R., & Richter, M. (2012). Effort intensitivity: some insights from the cardiovascular system. V R. M. Ryan (ur.), The Oxford Handbook of Human Motivation (str. 420–440). New York: Oxford University Press.
14. Ginsberg, M. L. (1993). Essentials of artificial intelligence. San Mateo: Morgan Kaufmann.
15. Hemby, V. K. (1998). Predicting Computer Anxiety in the Business Communication Classroom Facts, Figures, and Teaching Strategies. Journal of Business and Technical Communication, 12(1), 89–108. doi: 10.1177/1050651998012001005
16. Honkela, T. (2005). Von Foerster meets Kohonen: approaches to artificial intelligence, cognitive science and information systems development. Kybernetes, 34(1/2), 40–53. doi: 10.1108/
03684920510575735
17. Huang, S.-J.. & Chiu, N.-H. (2006). Optimization of analogy weights by genetic algorithm for software effort estimation. Information and software technology, 48(11), 1034–1045. doi: 10.1016/j.bbr.2011.03.031
18. Jonassen, D., & Reeves, T. (1996). Learning with technology: Using computers as cognitive tools. V D. H. Jonassen (ur.), Handbook of research for educational communications and technology (str. 693–719). London: Prentice Hall International.
19. Kaltnekar, Z. (1991). Information technology and the humanization of work. V E. Szewczak (ur.), Information technology and the humanization of work (str. 493–532). Harrisburg: Idea Group Publishing.
20. Kaplan, S. R., & Mikes, A. (2012). Managing risks: a new framework. Harvard Business Review 90(6), 49–60. Pridobljeno na http://hbr.org/2012/06/managing–risks–a–new–framework/ar/1
21. Laurillard, D. (1995). Multimedia and the changing experience of the learner. British Journal of Educational Technology, 26(3), 179–189.
22. Logar, V., & Belič, A. (2011). Brain–computer interface analysis of a dynamic visio–motor task. Artificial intelligence in medicine, 51(1), 43–51. doi:10.1016/j.artmed.2010.10.004
23. Logar, M. (2007). Možnosti preverjanja kognitivnih funkcij pri bolnikih v klinični praksi (Specialistično delo). Ljubljana: Medicinska fakulteta.
24. Loufrank, M., & Rickard, K. (1988). Psychology of the scientist: LVIII: anxiety about research: an initial examination of a multimensional concept. Psychological Reports, 62, 455–463.
25. MacKay, D. (1980). Brains, machines and persons. Grand Rapids: Eerdmans.
26. Markoff, J. (2012). Scientist sees promise in deep–learning programs. New York Times. Pridobljeno na http://www.nytimes.com/2012/11/24/science/scientists–see–advances–in–deep–learning–a–part–of–artificial–intelligence.html?_r=1&
27. McAteer, E., Tolmie, A., Duffy, C., & Corbett, J. (1997). Computer mediated communication as a learning resource. Journal of Computer Assisted Learning, 13(4), 219–227.
28. McLoughlin, C. (1999). Culturally responsive technology use: Developing an online community of learners. British Journal of Educational Technology, 30(3), 245–251. doi: 10.1111/1467–8535.00112
29. McLoughlin, C., & Oliver, R. (1998). Maximising the language and learning link in computer learning environments. British Journal of Educational Technology, 29(2), 125–136.
30. O’Dell, C., & Hubert, C. (2011). The new edge in knowledge. Hoboken: John Wiley & Sons.
31. Pasley, B. N., David, S. V., Mesgarani, N., Flinker, A., Shamma, S. A., Crone, N. E., Knight, R. T., & Chang, E. F. (2012). Reconstructing Speech from Human Auditory Cortex. PLoS Biology, 10(1). doi:10.1371/journal.pbio.1001251
32. Peterson, R. G. (2003). Cognitive science: what one needs to know. Zygon, 32(4), 615–627.
33. Pylyshyn, Z. W. (1986). Computation and cognition: toward a foundation for cognitive science. London: Cambridge, MIT Press.
34. Reinecke, K., & Bernstein, A. (2011). Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces. ACM Transactions on Computer–Human Interaction, 18(2), 8:1–8:29. doi= 10.1145/1970378.1970382
35. Resnick, L. B., Levine, J. M., & Teasley, S. D. (1991). Perspectives on socially shared cognition. Washington: American Psychological Association.
36. Reeve, J., & Woogul, L. (2012). Neuroscience and Human Motivation. V R. M. Ryan (ur.), The Oxford Handbook of Human Motivation (str. 365–380). New York: Oxford University Press.
37. Rozell, J. E. & III Gardner, L.W. (2000). Cognitive, motivation, and affective processes associated with computer–related performance: a path analysis. Computers in Human Behavior, 16(2), 199–222. doi: 10.1016/S0747–5632(99)00054–0
38. Schunk, H. D., & Usher, L. E. (2012). Social cognitive theory and motivation. V R. M. Ryan (ur.), The Oxford Handbook of Human Motivation (str. 13–27). New York: Oxford University Press.
39. Smith–Saedler, E., & Badger, B. (1998). Cognitive style, learning and innovation. Technology Analysis & Strategic Management, 10(2), 247–265.
40. Smith, R., & Hunter, B. (2007). Baby boomers and generation X: nursing education beyond the computer. Pridobljeno na http://www.nursinglibrary.org/vhl/handle/10755/165130
41. Sternberg, J. R. (2009). Cognitive Psychology (5. izd.). Belmont: Cengage.
42. Sočan, L. (2001). Znanje in razvoj v Sloveniji v razmerah nove ekonomije: upravljanje sodobnih informacijskih tehnologij zahteva vlaganja v človeški kapital. Andragoška spoznanja, 7(1), 86–98.
43. Sun, R. (2008). The Cambridge Handbook of Computational Psychology. New York: Cambridge University Press.
44. Van Gog, T., Kester, L., Nievelstein, F., Giesbers, B., & Paas, F. (2009). Uncovering cognitive processes: Different techniques that can contribute to cognitive load research and instruction. Computers in Human Behaviour, 25(2), 325–331. doi.org/10.1016/j.chb.2008.12.021
45. White, G., & Ploeger, F. (2004). Cognitive characteristics for learning visual basic. The Journal of Computer Information Systems, 44(3), 58–66.
46. Wickens, C. D., Lee, J. D., Liu, Y., & Gordon- Becker, S. (2004). An Introduction to Human Factors Engineering (2. izd.). Upper Saddle River, NJ: Pearson Prentice Hall.
47. Zemke, R., Raines, C., & Filipczak, B. (2000). Generations at work: Managing the clash of veterans, boomers, in your work place. New York: American Management Association.
