Interface design for HCI classroom: from learners’ perspective
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[1] Aalberg, T., Lorås, M.: Active learning and student peer assessment in a web development course. In: Norsk IKT-konferanse for forskning og utdanning (2018)
[2] Albano, A.: Introduction to educational and psychological measurement using R (2017)
[3] Carter, A.S., Hundhausen, C.D.: A review of studio-based learning in computer science. J. Comput. Sci. Coll. 27(1), 105–111 (2011)
[4] Churchill, E.F., Bowser, A., Preece, J.: Teaching and learning human-computer interaction: past, present, and future. Interactions 20(2), 44–53 (2013)
[5] Cicchetti, D.V.: Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol. Assess. 6(4), 284 (1994)
[6] Dang, T., Nguyen, H.N., Pham, V.: WordStream: interactive visualization for topic evolution. In: Johansson, J., Sadlo, F., Marai, G.E. (eds.) EuroVis 2019 - Short Papers. The Eurographics Association (2019). https://doi.org/10.2312/evs.20191178
[7] Dang, T., Pham, V., Nguyen, H.N., Nguyen, N.V.: AgasedViz: visualizing groundwater availability of Ogallala Aquifer, USA. Environ. Earth Sci. 79(5), 1–12 (2020)
[8] Figl, K., Bauer, C., Kriglstein, S.: Students’ view on instant online feedback for presentations. In: Proceedings of the AMCIS 2009, p. 775 (2009)
[9] Gehringer, E.F.: Electronic peer review and peer grading in computer-science courses. ACM SIGCSE Bull. 33(1), 139–143 (2001)
[10] Greenberg, S.: Teaching human computer interaction to programmers. Interactions 3(4), 62–76 (1996)
[11] Hatziapostolou, T., Paraskakis, I.: Enhancing the impact of formative feedback on student learning through an online feedback system. Electron. J. E-learn. 8(2), 111–122 (2010)
[12] Hewett, T.T., et al.: ACM SIGCHI Curricula for Human-Computer Interaction. ACM, New York (1992)
[13] Interaction Design Foundation: What is Human-Computer Interaction (HCI)? (2019). https://www.interaction-design.org/literature/topics/human-computer-interaction. Accessed 1 July 2020
[14] Kulkarni, C.E., Bernstein, M.S., Klemmer, S.R.: PeerStudio: rapid peer feedback emphasizes revision and improves performance. In: Proceedings of the Second (2015) ACM Conference on Learning@ Scale, pp. 75–84 (2015)
[15] Le, D.D., Pham, V., Nguyen, H.N., Dang, T.: Visualization and explainable machine learning for efficient manufacturing and system operations. Smart Sustain. Manuf. Syst. 3(2), 127–147 (2019)
[16] Ma, X., Yu, L., Forlizzi, J.L., Dow, S.P.: Exiting the design studio: leveraging online participants for early-stage design feedback. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, pp. 676–685 (2015)
[17] Magrabi, F., Coiera, E.W., Westbrook, J.I., Gosling, A.S., Vickland, V.: General practitioners’ use of online evidence during consultations. Int. J. Med. Inf. 74(1), 1–12 (2005)
[18] McGraw, K.O., Wong, S.P.: Forming inferences about some intraclass correlation coefficients. Psychol. Methods 1(1), 30 (1996)
[19] Nguyen, H.N., Dang, T.: EQSA: Earthquake situational analytics from social media. In: Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST 2019), pp. 142–143 (2019). https://doi.org/10.1109/VAST47406.2019.8986947
[20] Nichols, T.R., Wisner, P.M., Cripe, G., Gulabchand, L.: Putting the kappa statistic to use. Qual. Assur. J. 13(3–4), 57–61 (2010)
[21] Shannon, A., Hammer, J., Thurston, H., Diehl, N., Dow, S.: PeerPresents: A wab-based system for in-class peer feedback during student presentations. In: Proceedings of the 2016 ACM Conference on Designing Interactive Systems, DIS 2016, pp. 447–458. Association for Computing Machinery, New York (2016). https://doi.org/10.1145/2901790.2901816
[22] Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., Diakopoulos, N.: Designing the User Interface: Strategies for Effective Human-Computer Interaction. Pearson, London (2016)
[23] Sims, R.: Interactivity: a forgotten art? Comput. Hum. Behav. 13(2), 157–180 (1997)
[24] Nguyen, V.T., Hite, R., Dang, T.: Web-based virtual reality development in classroom: from learner’s perspectives. In: Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2018), pp. 11–18 (2018). https://doi.org/10.1109/AIVR.2018.00010