Remote Learning Models in Video Corpus Construction: Simulation, Creativity and Remodelling as Pedagogic Tools
Abstract
Within online learning environments research, this paper identifies four remote-learning models that have characterised the use of the OpenMWS platform within the processes of selection, transcription, annotation and concordance-like searches characterising video corpus construction and analysis. They relate to student tasks such as the creation of video corpora ex novo when completing dissertations, traineeships, group project work and with remodelling existing video corpora to meet the needs of new audiences such as primary and secondary schoolchildren. The paper makes reference to how analytics records student interactions with the platform, an approach inviting students to reflect on their own learning trajectories.
Downloads
References
Baldry, A. (2022). Multimodality and Genre Evolution: A decade-by-decade approach to online video genre analysis. In I. Moschini & M.G. Sindoni (Eds.), Mediation and multimodal meaning making in digital environments. London: Routledge.
Baldry, A., Kantz, D. (2022). Corpus-Assisted Approaches to Multimodal Discourse Analysis for English for Medical Purposes. In: V. Bonsignori, B. Crawford Camiciottoli, D. Filmer (Eds.). Analysing Multimodality in Specialized Discourse: Innovative Research Methods and Applications. Wilmington (DE): Vernon Press, pp. 1–22.
Baldry, A., P. Thibault (2020). A Model for Multimodal Corpus Construction of Video Genres: Phasal Analysis and Resource Integration Using OpenMWS. In: Multiliteracy Advances and Multimodal Challenges in ELT Environments, ed. by N. Vasta & A. Baldry. Udine: Forum Editrice, pp. 159–173.
Baldry, A., Thibault P. J., Coccetta F., Kantz D., Taibi D. (2020). Multimodal Ecological Literacy: Animal and human interactions in the animal rescue genre. In: N. Vasta & A. Baldry (Eds.), Multiliteracy Advances and Multimodal Challenges in ELT Environments. Udine: Forum, pp. 155–218.
Baldry, A., Coccetta F., Kantz, D. (2022). What if? Healthcare Simulations, Online Searchable Video Corpora and Formulating Hypotheses. In: A. F. Plastina. (Ed.) Analysing Health Discourse in Digital Environments, Newcastle upon Tyne: Cambridge Scholars, pp. 126–146.
Bianchi, F., Taibi, D., Kemkes, P., Marenzi, I. (2022). Learning analytics at the service of interpreter training in academic curricula. In: S. Maci & M. Sala, (Eds.), Corpus Linguistics and Translation Tools for Digital Humanities: Research Methods and Applications. London: Bloomsbury Publishing.
Bolter, J. D., Grusin, R. (1999). Remediation: Understanding New Media. MIT Press: Cambridge, Massachusetts.
Brill, J. M., Park, Y. (2008). Facilitating engaged learning in the interaction age taking a pedagogically-disciplined approach to innovation with emergent technologies. International Journal of Teaching and Learning in Higher Education, 20(1), 70–78.
Buzzetto-More, N. A. (2014). An examination of undergraduate student’s perceptions and predilections of the use of YouTube in the teaching and learning process. Interdisciplinary Journal of E-Learning and Learning Objects, 10(1), 17–32.
Chiazzese, G., Fulantelli, G., Pipitone, V., Taibi, D. (2018). Engaging Primary School Children in Computational Thinking: Designing and Developing Videogames. Educational Knowledge Society, 19, 63–81
Coccetta, F. (2022). Multimodal corpora and concordancing in DDL. In: R. Jablonkai & E. Csomay (Eds.), The Routledge Handbook of Corpora in English Language Teaching and Learning. London: Routledge, pp. 361–376.
Dalke, A. F., Cassidy, K., Grobstein, P., Blank, D. (2007). Emergent pedagogy: learning to enjoy the uncontrollable—and make it productive. Journal of Educational Change, 8(2), 111–130.
Fulantelli, G., Taibi, D. (2014). Learning Analytics: opportunities for schools. Italian Journal of Educational Technology. 22(3), pp. 157–164.
Fulantelli, G., Scifo, L., Taibi, D. (2021). Training School Activities to Promote a Conscious Use of social media and Human Development According to the Ecological Systems Theory. CSEDU 1, 517–524.
Jackman, W. M. (2019). YouTube Usage in the University Classroom: An Argument for its Pedagogical Benefits. Int. J. Emerg. Technol. Learn., 14(9), 157–166.
Jackman, W. M., Roberts, P. (2014). Students’ perspectives on YouTube video usage as an e-resource in the university classroom. Journal of Educational Technology Systems, 42(3), 273–296.
Jones, T., Cuthrell, K. (2011). YouTube: Educational potentials and pitfalls. Computers in the Schools, 28(1), 75–85.).
Kang, J., Lindgren, R., Planey, J. (2018). Exploring emergent features of student interaction within an embodied science learning simulation. Multimodal Technologies and Interaction, 2(3), 39.
Lim, F. V., Cope, B., Kalantzis, M. (2022). A metalanguage for learning: Rebalancing the cognitive with the socio-material. Frontiers in Communication, 8. https://doi.org/10.3389/fcomm.202-2.830613
Liu, Y., Holden, D., Zheng, D. (2016). Analyzing students’ language learning experience in an augmented reality mobile game: an exploration of an emergent learning environment. Procedia-Social and Behavioral Sciences, 228, 369–374.
Nascimbeni, F., Vosloo, S. (2019). Digital literacy for children: Exploring definitions and frameworks. Scoping Paper, 1. New York, United Nations Children's Fund (UNICEF), Office of Global Insight and Policy, https://www.unicef.org/globalinsight/media/1271/file/%20UNICEF-Global-Insight-digital-literacy-scoping-paper-2020.pdf.
Oliveira, M., Cabral, P., Taibi, D. (2021). “Interactivity to improve visual analysis in groups with different literacy levels”). CAPSI 2021 Proceedings. 10. https://aisel.aisnet.org/capsi2021/10
Sindoni M. G. et al. (2019). “The Common Framework of Reference for Intercultural Digital Literacies”.www.eumade4ll.eu/wp-content/uploads/2020/02/cfridil-framework-linked-fin1.pdf.
Taibi, D. (2020). “Analysis D: Shaping digital identities through group study: A simulated case study using online tools and videos to explore animal-human interaction”. In: N. Vasta A. Baldry (Eds.), pp. 190–195.
Taibi, D. (2021). “Learning Analytics in Support of Video Corpus Construction and Exploration”. In: C. Busch, M. Steinicke, R. Frieß and T. Wendler (Eds.), Proceedings of the 20th European Conference On E-Learning, Reading: Academic Conferences International Limited, pp. 450–459.
Taibi, D., Bianchi, F., Kemkes, P., Marenzi, I. (2018). A learning analytics dashboard to analyse learning activities in interpreter training courses. In International Conference on Computer Supported Education. Springer, Cham., pp. 268–286.
Taibi, D., Dietze, S. (2012). Fostering analytics on learning analytics research: The LAK dataset. LAK ‘15: Proceedings of the Fifth International Conference on Learning Analytics and Knowledge, 15(3), 1–163.
Thibault, P. J. (in press). The human semiotic footprint: How our systems of meaning affect the human ecology. Open semiotics. Paris: Éditions L’Harmattan.
Tyner, K. (2014). Literacy in a Digital World: Teaching and learning in the age of information. London: Routledge.
Vasta, N. (2020). “Advances and Challenges in EFL Multiliteracy Environments”. In: N. Vasta & A. Baldry (Eds.), Multiliteracy Advances and Multimodal Challenges in ELT Environments. Udine: Forum, pp. 27–64.
Vasta, N., Baldry, A. (2020). Multiliteracy Advances and Multimodal Challenges in ELT Environments. Udine: Forum.
Wood, J. (2022). Making peer feedback work: the contribution of technology-mediated dialogic peer feedback to feedback uptake and literacy. Assessment & Evaluation in Higher Education, 47(3), 327–346.
Copyright (c) 2023 Davide Taibi
This work is licensed under a Creative Commons Attribution 4.0 International License.