1 / 15

Rafael Vetromille-Castro Education Technology , PhD Applied Linguistics, MA

Social Interactive Entropy in Online Classrooms Symposium " Social groups in CALL contexts: complex adaptive systems (CAS) ". Rafael Vetromille-Castro Education Technology , PhD Applied Linguistics, MA Federal University of Pelotas (UFPEL)

adin
Télécharger la présentation

Rafael Vetromille-Castro Education Technology , PhD Applied Linguistics, MA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Social Interactive Entropy in Online ClassroomsSymposium"Social groups in CALL contexts: complexadaptive systems (CAS)" Rafael Vetromille-Castro EducationTechnology, PhD Applied Linguistics, MA Federal Universityof Pelotas (UFPEL) Multimedia Laboratoryof Research on Language StudiesandLiterature (LAMPELL) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

  2. Starting point • Online [language learning/language teachereducation] classrooms: whatkeptstudentsinteracting in VLE? • Groupsofindividuals in VLE: ComplexAdaptive Systems (CAS) • Entropy: social interactiveentropy – implications for CALL practice

  3. Theoretical background • Sociocultural andComplex perspective: Central role ofinteraction (The ‘Five Graces Group’, 2009:2; Vetromille-Castro, 2012) • Groups in [online] learningcontexts: CAS (Davis & Simmt, 2003; Bowsfield, 2004; Vetromille-Castro, 2008) • Social interactiveentropy (Vetromille-Castro, 2008)

  4. Theoretical background • Sociocultural andComplex perspective: Central role ofinteraction (Ellis, 1994: 143-89; The ‘Five Graces Group’, 2009:2) Language: • consists of multiple agents (the speakers in the speech community) interacting with one another; • is adaptive and, being so, generates future behavior based on agents’ past and current interactions; and • has its structure emerged “from interrelated patterns of experience, social interaction, and cognitive processes

  5. Theoretical background • Neural network: minimalbrainunit (Nicolelis, 2011) • Neurosocial network: locusofknowledgeconstruction (Vetromille-Castro, 2012)

  6. Theoretical background • Groups in [online] learningcontexts: CAS (Davis & Simmt, 2003; Bowsfield, 2004; Vetromille-Castro, 2008) • Davis & Simmt, 2003; • Bowsfield, 2004 • Vetromille-Castro, 2008 • (Larsen-Freeman, 1997; Bertalanffy, 1973) • InternalDiversity • Redundancy • Decentralizedcontrol • Enablingconstraints • Neighborinteractions • Dynamic • Nonlinear • Chaotic • Unpredictable • Sensitive to initialconditions • Sensitive to feedback • Open • Self-organizing • Adaptive

  7. Theoretical background • Entropy (Clausius, 1865) • Concept linked to the Second Law of Thermodynamics • The amount of energy that is lost in certain phenomena • Entropy: different areas, similar phenomenon • Social interactiveentropy (Vetromille-Castro, 2008) • Energy in social CAS: interaction

  8. The research: context • Language teachereducation online courseon CALL material development • 3 editions • 37 in-serviceteachers [13/13/12 stds.] • Courseperiod: 10 weeks • Interactivetools: weekly fora + unpredictableandself-organized use ofportfolios

  9. The research: methodology • Analysisonexchangedmessages • Quantity • Content • Qualitative Social Values (Piaget, 1973) • Objective: • What kept people interacting in VLE: identification of both highly interactive periods and values permeating interactions

  10. Discussion • Threedifferentsystemicbehaviors • maximumentropic force [week 1-2] • systemicresistance [week 3-7] • systemicsurrender [week 8-10]

  11. Social interactiveentropy: behavior

  12. Social interactiveentropy: behavior

  13. Conclusion

  14. References Bowsfield, S. (2004). Complexity in the English language arts classroom: prompting the collective. In: COMPLEXITY SCIENCE AND EDUCATIONAL RESEARCH CONFERENCE, 2004, Chaffey’s Locks, Canada (pp. 147-154). Proceedings…Chaffey’s Locks, Canada. Davis, B. and Simmt, E. (2003). Understanding learning systems: mathematics education and complexity science. In: Journal for Research in Mathematics Education (pp.137-177), v.34, n.2. The Five Graces Group (2009). Language is a complex, adaptive system: position paper. In: N.C. Ellis; D. Larsen-Freeman. (Ed.) Language as a complex adaptive system. – Language Learning 60th anniversary special issue (pp. 1-26). Wiley-Blackwell, v.59, n.1. Gleick, J. (1989). Caos: a criação de uma nova ciência. 16ª ed. Rio de Janeiro: Campus. Paiva, V.L.M.O. (2011). Caos, complexidade e aquisição de segunda língua. In: V.L.M.O Paiva; M. Nascimento. (Ed.). Sistemas adaptativos complexos: lingua(gem) e aprendizagem (p.p.187-203). 2ª ed. Campinas: Pontes, 2011. Piaget, J. (1973). Estudos Sociológicos. Rio de Janeiro: Forense. Vetromille-Castro, R. (2007). A interação social e o benefício recíproco como elementos constituintes de um sistema complexo em ambientes virtuais de aprendizagem para professores de línguas. 2007. 226 f. Tese (Doutorado em Informática na Educação) – Programa de Pós-Graduação em Informática na Educação, Universidade Federal do Rio Grande do Sul, Porto Alegre. _____. (2008). Considerações sobre grupos em ambientes virtuais de aprendizagem como sistemas complexos. Revista Brasileira de Linguística Aplicada (Impresso) (pp. 211-234), v.8, n.1.

  15. Muito obrigado!Thankyou!vetromillecastro@gmail.com

More Related