Abstract
The speed of change and the spread of ICT (Information and communications technology) in Education puts the entire educational system in the position of having to constantly think about new methods and redesign teaching models adapted to a globalized and interconnected society, where knowledge is distributed, easily accessible and constantly updated. The massive introduction of technology in learning environments has not given the expected improvement in teaching, in fact, there has been a misuse of technology with a deterioration in school performance. Education must therefore aim to develop certain skills to enable a student to work independently usefully and effectively. The new systems and teaching models must be designed so as to shift the focus on the student. It is therefore necessary to work on different directions that are represented by the intrinsic motivation, extrinsic motivation, curiosity, favorable environment and distributed cognition.
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References
Bauman Z., Vita liquida, Laterza, Roma, 2008.
Bauman Z., La società dell’incertezza. Bologna, Il Mulino, 1999.
Berlyne D.E., Conflict arousal and curiosity. McGraw-Hill, New York, 1960.
Berlyne D.E., Frommer F.D., Some determinants on the incidence and content of children’s questions. Child D., 1966.
Berthoz. A., La semplessità. Codice edizioni, Torino, 2011.
Bruner J., La ricerca del significato. Per una psicologia culturale, Bollati Boringhieri, Torino, 1992.
Bruner J., The Process of Education, Cambridge, Harvard University Press, 1960.
Bianchi A. P. Di Giovanni, E. Di Giovanni, Empowerment. Che cosa vuol dire? Really New Minds, 2015.
Calvani A. (2008) Connetivism: New paradigm or fascinating pout-pourri?, Je-LKS, pp. 247–252, 2008.
Collins W.A. (1982) Cognitive processing in television viewing, in D. Pearle all. Television and Behavior: ten years of scientific progress and implications for the eighties, Washington D.C., Us Government Printing Office.
Di Giovanni P., Psicologia della comunicazione, Zanichelli, 2007.
Deci E.L., Ryan R.M. (1985) Intrinsic motivation and self-determination in human behavior, New York, Plenum Press, 1985.
Facci M., Valorzi S., Berti M., Generazione Cloud, Erickson, Trento, 2013.
Fierli M., (2010) Le tecnologie nella scuola: che cosa si dice e che cosa succede davvero, Rivista educational 2.0, RCS libri.
Gonzalez C., The Role of Blended Learning in the World of Technology, http://www.unt.edu/benchmarks/archives/2004/september04/eis.htm (Retrieved 4/04/2016).
Hošková-Mayerová Š. and Potůček R., (2016) Qualitative and Quantitative Evaluation of the Entrance, Draft Tests from Mathematics Studies in Systems, Recent Trends in Social Systems: Quantitative Theories and Quantitative Models, Decision and Control, Vol. 66, Maturo (Eds.), 53–64.
Hošková-Mayerová, Š., Rosická, Z. (2015). E-Learning Pros and Cons: Active Learning Culture? Procedia - Social and Behavioral Sciences, 191, no. June 2015, pp. 958–962.
Hošková-Mayerová, Š. (2017) Education and Training in Crisis Management. In: The European Proceedings of Social & Behavioural Sciences EpSBS, Volume XVI. Future Academy, 2017, p. 849–856.
Hattie J. Visible learning: a synthesis of over 800 meta analyses relating to achievement. London-New York: Routledge, 2009.
Hendry L.B., Kloep M. (2002) Lifespan development. Resources, challengers and risks. Thompson Learning: London; trad. it. Lo sviluppo nel ciclo di vita. Bologna: Il Mulino, 2003.
Higgins S., Falzon C., Hall I., Moseley D., Smith F., Smith H., Wall K ‘Embedding ICT in the literacy and numeracy strategies: Final report.’, Project Report. University of Newcastle, upon Tyne, Newcastle, 2005.
Hunt J. Intrinsic motivation and its role in psychological development. In D. Levine, University of Nebraska Press, 1965.
Hunt J., 1963, Motivation inherent in information processing and action. In O.J. Harvey (ed.) Motivation and socila interaction, Ronald Press, New York, 1963.
Maehr, M.L. (1976), Continuing motivation: An analysis of a seldom considered educational outcome. Review of Educational Research, 46(3), 443–462, 1976.
Mariani L., Saper apprendere. Atteggiamenti, motivazioni, stili e strategie per insegnare a imparare, Edizioni libreriauniversitaria.it, Padova, 2010.
Papert S., I bambini e il computer. Milano, Rizzoli, 1994.
Pettenati M.C., Cicognini M.E., Guerin E., Mangione M.R. Personal Knowledge management skills for lifelong-learners 2.0, Hershey, PA, IGI http://www.igi-global.com.
Pittman T.S., Boggiano A.K., Ruble D.N., 1982 Intrinsic and extrinsic motivational orientations: Interactive effects of reward, competence feedback and task complexity. In J. Levine e M. Wang Eds Teacher and student perceptions: implications for learning. Hillsdale (NJ), Erlbaum, 1982.
Rosická, Z, Hošková-Mayerová, Š. (2014a) Motivation to Study and Work with Talented Students. Procedia - Social and Behavioral Sciences, 114, no. February/2014, p. 234–238.
Rosická, Z, Hošková-Mayerová, Š. (2014b) Efficient Methods at Combined Study Programs. Procedia - Social and Behavioral Sciences, 131, no. May/2014, p. 135–139.
Rumelhart D.E., Norman D.A. Accretion, tuning and restructuring, Three modes of learning, in Cotton J.W., Klatzky R. (eds.) Semantic factors in cognition. Erlbaum:Hillsdale (NJ), 1978.
Rumelhart D.E., Norman D.A. Analogical processes in learning, in Anderson J.R. (ed.) Cognitive skills and their acquisition. Hillsdale (NJ): Erlbaum, 1981.
Salvatori R., Tecnologie e-learning e mutamenti sociali, Edizioni Complexity, 2015.
Siemens G., Knowing Knowledge, http://ltc.umanitoba.ca/wikis/KnowingKnowledge/index.php/Main_Page, 2006.
Suchman, 1962, in The Block Scheduling, J. Allen Queen, 153–155, 2009 Corwin Press, 2009.
Trentin B, La didattica in pericolo, Rivista Educazione e scuola, 2011.
Vailati G., Rivista di Psicologia Applicata, pp. 160–166, Bologna, 1906.
Vallerand R. J., Pelletier L.G., Blais M.R., Briere N.M., Sencal C., Vallieres E.F., 1993, On the Assessment of intrinsic, extrinsic, and a motivation in education: Evidence on the concurrent and construct validity of the Academic Motivation Scale. Educational and Psychological Measurement, 53, 159–172, 1993.
White R., Motivation reconsidered: The concept of competence. Psychological Review, 66, 297–233, 1959.
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Salvatori, R. (2017). Advanced Technologies for Social Communication: Methods and Techniques in Online Learning. In: Hošková-Mayerová, Š., Maturo, F., Kacprzyk, J. (eds) Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences. Studies in Systems, Decision and Control, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-319-54819-7_22
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