CopertinaAnnamaria

Contemporary educational psychology, 19(4), 460-475.
Schwendimann, B.A., et al. (2017). Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research. IEEE Transactions on Learning Technologies, 10(1), 30-41.
Simpson, A. (2017). The surprising persistence of Biglan’s classi1cation scheme. Studies in Higher Education, 42(8), 1520-1531.
Song, M. K., Lin, F. C., Ward, S. E., & Fine, J. P. (2013). Composite variables: when and how. Nursing research, 62(1), 45. Retrieved from:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459482/
Srinivasa K.G., & Muralidhar Kurni (2021). A Beginner’s Guide to Learning Analytics. Cham (Svizzera): Springer.
Stites, A.A., Berger, E., Deboer, J., & Rhoads, J.F. (2019). A Cluster-Based Approach to Understanding Students’ Resource-Usage Patterns in an Active, Blended, and Collaborative Learning Environment. International Journal of Engineering Education, 35(6/A), 1738–1757.
Stokes, D.E. (1997). Pasteur’s Quadrant. Basic Science and Technological Innovation. Washington, D.C.: Brooking Institution Press.
Tabachnick, B.G., & Fidell, L.S. (2013). Cleaning Up Your Act: Screening Data. In B.G.
Tabachnick & L.S. Fidell, Using Multivariate Statistics (6th ed., pp.60-114). Boston: Pearson.
Telea, A. C. (2014). Introduction. In A.C. Telea (2014), Data visualization: principles and practice. Boca Raton, FL: CRC Press.
Tomietto, M., Saiani, L., Palese, A., Cunico, L., Cicolini, G., Watson, P., & Saarikoski, M. (2012). Clinical learning environment and supervision plus nurse teacher (CLES+ T) scale: testing the psychometric characteristics of the Italian version. Giornale italiano di medicina del lavoro ed ergonomia, 34(2 Suppl B), B72-80.
Trinchero, R. (2002). Manuale di ricerca educativa. Milano: FrancoAngeli.
Trinchero, R., & Robasto, D. (2019). I mixed methods nella ricerca educativa. Milano: Mondadori Education.
Trochim, W.M.K. (1989). An introduction to concept mapping for planning and evaluation. Evaluation and Program Planning, 12, 1-16.
Uddin, M. F., & Gupta, N. (2014). Seven V's of Big Data understanding Big Data to extract value. In Proceedings of the 2014 zone 1 conference of the American Society for Engineering Education (pp. 1-5). IEEE.
Unwin, A., Chen, C., & Härdle, W.K. (2008). Introduction. In C. Chen, W.K. Härdle, & Unwin, A., Handbook of Data Visualization. Heidelberg, Germania: Springer.
Vannini, I. (2009). Ricerca empirico-sperimentale in Pedagogia. Alcuni appunti su riJessione teorica e sistematicità metodologica. Ricerche di Pedagogia e Didattica, 4(1). Retrieved from: https://rpd.unibo.it/article/view/1549/922
Vizcaya-Moreno, M.F., Pérez-Cañaveras, R. M., De Juan, J., & Saarikoski, M. (2015). Development and psychometric testing of the clinical learning environment, supervision and nurse teacher evaluation scale (CLES+ T): The Spanish version. International journal of nursing studies, 52(1), 361-367.
Wallace, C. S., Chambers, T. G., & Prather, E. E. (2018). Item response theory evaluation of the Light and Spectroscopy Concept Inventory national data set. Physical Review Physics Education Research, 14(1), 010149.
Wiggins, G., & McTighe, J. (2005). Understanding by design. Alexandria, VA: Association for Supervision and Curriculum Development.
Zacharis, N.Z. (2015). A multivariate approach to predicting student outcomes in webenabled blended learning courses. Internet and Higher Education, 27, 44–53.
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization.
Organizational research methods, 18(3), 429-472.
228 - Analisi Multivariata e Learning Analytics: metodi e applicazioni

ANALISI MULTIVARIATA E LEARNING ANALYTICS: METODI E APPLICAZIONI

Negli ultimi decenni il crescente uso di ambienti online per la formazione ha reso disponibili grandi quantità di dati relativi ai processi educativi che, analizzati in rigorosi processi di indagine attraverso tecniche di analisi statistica, possono contribuire a descrivere, conoscere e, in definitiva, migliorare l’apprendimento, l’insegnamento, la pianificazione e l’organizzazione della didattica.
Il volume, delineando il legame esistente fra ricerca educativa, analisi statistica e tecnologie digitali, presenta otto tecniche di analisi multivariata seguite da applicazioni di tali metodi nell’ambito educativo nel contesto internazionale.