Abstract
The value that data has in the information society is undeniable. However data per se has limited significance, as it requires structure and it needs to be adequately conveyed to the user. Education is no exception to all the sectors currently harnessing the power of the data that stems from the interaction with their various stakeholders. Learning analytics can assist educators to understand how their students are learning, how successful they are at the accomplishment of certain tasks and to identify if they are at risk of failing. A fundamental part of learning analytics is visualisation, which is responsible for the communication of the data that is collected and becomes central in determining the teacher intervention in the learning process. In this paper the authors will present the results of semi-structured interviews that were conducted with lecturers at UNIV faculties and schools, in order to collect their insights regarding what aspects should be considered when design a teachers dashboard. Main requirements as well as major concerns are compiled and discussed. This is specifically useful to guide the future design of a teacher dashboard at UNIV and other universities.
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Aleven, V., Xhakaj, F., Holstein, K., McLaren, B.M.: Developing a teacher dashboard for use with intelligent tutoring systems. In: Proceedings of the 4th International Workshop on Teaching Analytics, IWTA at the 11th European Conference on Technology Enhanced Learning, Lyon, France (2016)
Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)
Charmaz, K.: Constructivist grounded theory. J. Posit. Psychol. 12(3), 299–300 (2017). https://doi.org/10.1080/17439760.2016.1262612
Chatti, M.A., Dyckhoff, A.L., Schroeder, U., Thüs, H.: A reference model for learning analytics. Int. J. Technol. Enhanc. Learn. 4(5–6), 318–331 (2012)
Clow, D.: The learning analytics cycle: closing the loop effectively. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge – LAK 2012, pp. 134–137. ACM, Vancouver (2012). https://doi.org/10.1145/2330601.2330636
Colthorpe, K., Sharifirad, T., Ainscough, L., Anderson, S., Zimbardi, K.: Prompting undergraduate students’ metacognition of learning: implementing ‘meta-learning’assessment tasks in the biomedical sciences. Assess. Eval. High. Educ. 43(2), 272–285 (2018)
Dabbebi, I., Iksal, S., Gilliot, J.-M., May, M., Garlatti, S.: Towards adaptive dashboards for learning analytic: an approach for conceptual design and implementation. In: Proceedings of 9th International Conference on Computer Supported Education (CSEDU), Porto, Portugal, pp. 120–131 (2017)
Duval, E.: Attention please! Learning analytics for visualization and recommendation. In: Proceedings of LAK11: 1st International Conference on Learning Analytics and Knowledge, pp. 9–17. ACM (2011)
Firmin, M.W., Hwang, C.-e., Copella, M., Clark, S.: Learned helplessness: the effect of failure on test-taking. Education 124(4), 688 (2004)
Hattie, J., Timperley, H.: The power of feedback. Rev. Educ. Res. 77(1), 81–112 (2007)
Khan, S.: The One World Schoolhouse: Education Reimagined. Twelve, New York (2012)
Kitto, K., et al.: The connected learning analytics toolkit. In: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pp. 548–549. ACM, Edinburgh (2016)
Martinez-Maldonado, R., Pardo, A., Mirriahi, N., Yacef, K., Kay, J., Clayphan, A.: LATUX: an iterative workflow for designing, validating and deploying learning analytics visualisations. J. Learn. Anal. 2(3), 9–39 (2016)
Melesse, S., Jirata, E.: Teachers’ perception and practice of constructivist teaching approach: the case of secondary schools of Kamashi Zone. Sci. Technol. Arts Res. J. 4(4), 194–199 (2015)
Molenaar, I., Knoop-van Campen, C.A.: How teachers make dashboard information actionable. IEEE Trans. Learn. Technol. 12(3), 347–355 (2018)
Mottus, A., Kinshuk, H.R., Graf, S., Chen, N.-S.: Use of dashboards and visualization techniques to support teacher decision making. In: Kinshuk, H.R. (ed.) Ubiquitous Learning Environments and Technologies. Lecture Notes in Educational Technolog, pp. 181–199. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-44659-1_10
Muñoz-Merino, P.J., Valiente, J.A.R., Kloos, C.D.: Inferring higher level learning information from low level data for the Khan Academy platform. In: Proceedings of the Third International Conference on Learning Analytics and Knowledge, pp. 112–116 (2013)
Ochoa, X.: Visualizing uncertainty in the prediction of academic risk. In: Proceedings of the Workshop on Visual Aspects of Learning Analytics held at the International Conference on Learning Analytics and Knowledge (LAK 2015), Poughkeepsie, USA, pp. 4–10 (2015)
Papamitsiou, Z., Economides, A.: Learning analytics and educational data mining in practice: a systematic literature review of empirical evidence. Educ. Technol. Soc. 17(4), 49–64 (2014)
Pesare, E., Roselli, T., Rossano, V., Di Bitonto, P.: Digitally enhanced assessment in virtual learning environments. J. Vis. Lang. Comput. 31(Part B), 252–259 (2015)
Puentedura, R.: The SAMR Model and Digital Learning (2015)
Rayón, A., Guenaga, M., Núñez, A.: Integrating and visualizing learner and social data to elicit higher-order indicators in SCALA dashboard. In: Proceedings of the 14th International Conference on Knowledge Technologies and Data-Driven Business. ACM, Graz (2014)
Reimers, G., Neovesky, A., der Wissenschaften, A.: Student focused dashboards. In: Proceedings of the 7th International Conference on Computer Supported Education, Lisbon, Portugal (2015)
Rose, C.P., et al.: Analytics of social processes in learning contexts: a multi-level perspective. In: Looi, C.K., Polman, J., Cress, U., Reimann, P. (eds.) Transforming Learning, Empowering Learners: Proceedings of the International Conference of the Learning Sciences, vol. 1, pp. 24–31. International Society of Sciences, Singapore (2016)
Santos, J.L., Verbert, K., Govaerts, S., Duval, E.: Addressing learner issues with StepUp!: an evaluation. In: Proceedings of the Third International Conference on Learning Analytics and Knowledge, Leuven, Belgium (2013)
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., Kirschner, P.A.: Linking learning behavior analytics and learning science concepts: designing a learning analytics dashboard for feedback to support learning regulation. Comput. Hum. Behav. 107, 105512 (2018)
Verbert, K., Duval, E., Klerkx, J., Govaerts, S., Santos, J.L.: Learning analytics dashboard applications. Am. Behav. Sci. 57(10), 1500–1509 (2013)
Acknowledgements
The first author would like to acknowledge the work of Solange M. Lima, as a research assistant, in a Teacher Dashboards’ grant, led by the first author, which originated findings that have been used as the basis for this paper.
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Isaias, P., Backx Noronha Viana, A. (2020). On the Design of a Teachers’ Dashboard: Requirements and Insights. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences. HCII 2020. Lecture Notes in Computer Science(), vol 12205. Springer, Cham. https://doi.org/10.1007/978-3-030-50513-4_19
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