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The Impact of Game Elements on Learner Motivation: Influence of Initial Motivation and Player Profile
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In: EISSN: 1939-1382 ; IEEE Transactions on Learning Technologies ; https://hal.univ-lyon2.fr/hal-03579428 ; IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TLT.2022.3153239⟩ (2022)
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Human cumulative culture and the exploitation of natural phenomena
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In: ISSN: 1471-2970 ; Philosophical Transactions of the Royal Society B: Biological Sciences ; https://hal.archives-ouvertes.fr/hal-03509412 ; Philosophical Transactions of the Royal Society B: Biological Sciences, 2022, 377 (1843), ⟨10.1098/rstb.2020.0311⟩ (2022)
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Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
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In: Sensors; Volume 22; Issue 5; Pages: 1799 (2022)
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A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin
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In: Mathematics; Volume 10; Issue 8; Pages: 1307 (2022)
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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The “Social” in Social VR: A Linguistic Analysis of Verbal Behavior in Groups ...
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Technology-mediated task-based language teaching : a qualitative research synthesis
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| 10 |
How do L2 student moderators facilitate a peer-led discussion forum?
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Satisfacción de los estudiantes con la docencia online en tiempos de COVID-19
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 70, 2022 (Ejemplar dedicado a: Nuevos retos del profesorado ante la enseñanza digital), pags. 35-45 (2022)
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| 12 |
Mobile assisted language learning: : scope, praxis and theory
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In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 4, 2022 (Ejemplar dedicado a: Monográfico), pags. 11-25 (2022)
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Neural-based Knowledge Transfer in Natural Language Processing
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Uma abordagem complexa para aprendizagem baseada em tarefas mediada por tecnologias ; A complex approach to technology-mediated task-based learning
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In: Entrepalavras; v. 11, n. 3 (11): Linguagem e Tecnologia; 148-169 (2022)
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Abstract:
O presente trabalho tem como objetivo analisar o processo de ensino/aprendizagem da língua inglesa como segunda língua na área de CALL, com ênfase na interação oral em um ambiente mediado pela tecnologia síncrona de comunicação usando a Aprendizagem Baseada em Tarefas (ABT), sob a perspectiva da Teoria da Complexidade. Além disso, visa a analisar e definir o ciclo da tarefa como um Sistema Adaptativo Complexo. A metodologia deste estudo possui caráter netnográfico uma vez que esse modelo de fazer pesquisa permite lidar com questões relativas à teoria e à prática, adaptando a pesquisa etnográfica a fim de incluir a influência da internet nos ambientes mediados pela tecnologia. Os dados foram construídos usando as gravações de cinco aulas em um ambiente mediado pela ferramenta Zoom de comunicação síncrona. Os participantes eram alunos do curso de Biotecnologia da Universidade Federal de Pelotas e foram selecionados em razão da necessidade de realizarem reuniões com pesquisadores de universidades internacionais. Com base em uma perspectiva complexa e netnográfica para observação dos dados, foi possível constatar que o ciclo da tarefa neste novo ambiente de aprendizagem é sensível às condições iniciais, imprevisível, aberto, dinâmico, adaptativo, complexo, caótico, não-linear, auto-organizável e sensível ao feedback. Este estudo visa a contribuir para o desenvolvimento de uma nova área de investigação em CALL, devido à necessidade de se entender melhor as implicações pedagógicas das interações que acontecem dentro desse novo contexto de maneira complexa e não reducionista, baseando-se em uma teoria robusta, como é a da Complexidade. ; The focus of this study is the process of teaching/learning English as a second language in CALL, emphasizing oral interaction in an environment mediated by a synchronous communication tool using Task-Based Learning (TBL) under the perspective of the Complexity Theory. It aims to analyze and define the task cycle as a Complex Adaptive System. The current study adopts a netnographic methodology that deals with theory and practice adapting the ethnographic method to include the influence of the internet in technology-mediated environments. We built the dataset using video recordings of five classes carried out in an environment mediated by Zoom. The participants were students from the Biotechnology program at the Federal University of Pelotas selected due to their need to have online meetings with researchers from international universities. Based on a complex and netnographic perspective for data observation, it was possible to demonstrate that the task cycle, in this new learning environment, is sensitive to initial conditions, unpredictable, open, dynamic, adaptive, complex, chaotic, nonlinear, self-organizing, and sensitive to feedback. This study attempts to contribute to developing a new area of investigation in CALL due to the need to understand better the pedagogical implications of the interactions in this unique learning context in a complex and non-reductionist manner using a robust theory as the Complexity Theory.
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Keyword:
Aprendizagem Baseada em Tarefas mediada por Tecnologias. Teoria da Complexidade. CALL; Technology-Mediated Task Based Learning. Complexity Theory. CALL
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URL: https://doi.org/10.22168/2237-6321-32273
http://www.entrepalavras.ufc.br/revista/index.php/Revista/article/view/2273
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| 15 |
Improving Learners’ Assessment and Evaluation in Crisis Management Serious Games: an Emotion-based Educational Data Mining Approach
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In: ISSN: 1875-9521 ; Entertainment Computing ; https://hal.archives-ouvertes.fr/hal-03203938 ; Entertainment Computing, Elsevier, 2021, pp.100428. ⟨10.1016/j.entcom.2021.100428⟩ (2021)
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How Hermeneutic Spirals may reduce Complexity to Narrative Schemata - expanding on "Complexity and the Userly Text"
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In: https://hal.archives-ouvertes.fr/hal-03254233 ; 2021 (2021)
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Argumentation of Prospective Mathematics Teachers in Fraction Tasks Mediated by an Online Assessment System With Automatic Feedback
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In: Eurasia Journal of Mathematics, Science and Technology Education ; https://hal.archives-ouvertes.fr/hal-03538861 ; Eurasia Journal of Mathematics, Science and Technology Education, 2021, 17 (12), pp.em2055. ⟨10.29333/ejmste/11425⟩ (2021)
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| 18 |
The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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| 19 |
Utilising visual attention cues for vehicle detection and tracking
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In: Hu, Feiyan orcid:0000-0001-7451-6438 , Gurram Munirathnam, Venkatesh orcid:0000-0002-4393-9267 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Little, Suzanne orcid:0000-0003-3281-3471 (2021) Utilising visual attention cues for vehicle detection and tracking. In: 25th International Conference on Pattern Recognition (ICPR2020), 10-15 Jan 2021, Milan, Italy (Online). (2021)
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cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
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In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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