CopertinaAnnamaria

Interdisciplinary Journal of Research and Development, 16, 55-60.
Csikszentmihalyi, M. (2014). The Experience Sampling Method. In M. Csikszentmihalyi, Flow and the Foundations of Positive Psychology. The Collected Works of Mihaly Csikszentmihalyi (pp. 21-34). Dordrecht: Springer Science+Business Media.
de Lillo, A., Argentin, G., Lucchini, M., Sarti, S., & Terraneo, M. (2007). Analisi multivariata per le scienze sociali. Milano: Pearson Education.
de Lima, C. R. M., Soares, T. C., de Lima, M. A., Veras, M. O., de Andrade, J. B. S. O., & Guerra, A. (2020). Sustainability funding in higher education: a literature-based review. International Journal of Sustainability in Higher Education, 21(3), 441-464.
De Luca, A. M., & Lucisano, P. (2011). Item analisi tra modello e realtà. Italian Journal of Educational Research, (7), 85-96.
De Santis, A., Bellini, C., Sannicandro, K., & Minerva, T. (2020). Students’ perception on e-proctoring system for online assessment (pp. 161-168). Enhancing the Human Experience of Learning with Technology: New challenges for research into digital, open, distance & networked educationEuropean Distance and E-Learning
Network (EDEN) Proceedings 2020, Research Workshop | Lisbon, 21-23 October,
2020. Retrieved from:
https://www.eden-online.org/proc-2485/index.php/PROC/article/view/1770
De Santis, A., Sannicandro, K., Bellini, C., & Minerva, T. (2019). Predictive Model Selection for Completion Rate in Massive Open Online Courses. Je-LKS, Journal of e-Learning and Knowledge Society, 15(3), 145-159.
De Santis, A., Sannicandro, K., Bellini, C., & Minerva, T. (2021a). Cluster analysis for tailored tutoring system. Q-TIMES WEBMAGAZINE, XIII(3), 265-277.
De Santis, A., Sannicandro, K., Bellini, C., Cadamuro, A., & Minerva, T. (2021b). Students’ academic achievements: clusters based on metacognition, literacy and numeracy skills. Giornale italiano di educazione alla salute, sport e didattica inclusiva, 5(2), 89-101.
Delgado-Algarra, E.J., Román Sánchez, I.M., Ordóñez Olmedo, E., & Lorca-Marín, A.A. (2019). International MOOC trends in citizenship, participation and sustainability: Analysis of technical, didactic and content dimensions. Sustainability, 11(20), 5860.
Demchenko, Y., Membrey, P., Grosso, P., & de Laat, C. (2013a). Addressing Big Data Issues in Scienti1c Data Infrastructure. First International Symposium on Big Data and Data Analytics in Collaboration (BDDAC 2013). Part of The 2013 Int. Conf. on Collaboration Technologies and Systems (CTS 2013), May 20-24, 2013, San Diego, California, USA.
Demchenko, Y., Ngo, C., & Membrey, P. (2013b). Architecture Framework and Components for the Big Data Ecosystem [Draft Version 0.2]. Retrieved from http://www.uazone.org/demch/worksinprogress/sne-2013-02-techreport-bdafdraft02.pdf
Domenici, G., Lucisano, P., & Biasi, V. (2021). Ricerca sperimentale e processi valutativi in educazione. Milano: Mc Graw Hill.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
Doyle, K., Sainsbury, K., Cleary, S., Parkinson, L., Vindigni, D., McGrath, I., & Cruickshank, M. (2017). Happy to help/happy to be here: Identifying components of successful clinical placements for undergraduate nursing students. Nurse education today, 49, 27-32.
Drabowicz, T. (2017). Social theory of internet use: Corroboration or rejection among the digital natives? Correspondence analysis of adolescents in two societies. Computers & Education, 105, 57-67.
Drachsler, H., & Greller, W. (2016). Privacy and analytics: it’s a DELICATE issue a checklist for trusted learning analytics. In Proceedings of the sixth international conference on learning analytics & knowledge (pp. 89-98).
Ebel, R. L., & Frisbie, D. A. (1991). Essentials of educational measurement (5th ed.). New Delhi: Prentice Hall of India.
Fabbri, L. (2012). Ricerca didattica e contesti di apprendimento. Nuovi costrutti epistemologici. In P.C. Rivoltella e P.G. Rossi (Eds.). L’agire didattico. Manuale per l’insegnante. Brescia: Editrice La Scuola.
Felini, D., & Zobbi, E. (2022). University climate in distance education contexts:
developing an assessment instrument. Journal of e-Learning and Knowldge Society, 18(1), 75-86.
Ferguson, R. (2014). Learning analytics: fattori trainanti, sviluppi e s1de. TD Tecnologie Didattiche, 22(3), 138-147 (Trad. It. a cura di Davide Taibi e Giovanni Fulantelli).
Ferrari, S. (2013). Berthoz e il paradigma della semplessità. In P.C. Rivoltella (ed.), Fare didattica con gli EAS (pp. 63-68 ). Brescia: Editrice La Scuola.
Fisher, H.E., Boone, W., & Neumann, K. (2014). Quantitative Research Designs and Approaches. In N.G. Lederman & S.K. Abell (Eds.), Handbook of Research on Science Education, Vol. 2 (pp. 32-51). New York and London: Routledge.
Forrest, J., Lean, G., & Dunn, K. (2015). Challenging racism through schools: teacher attitudes to cultural diversity and multicultural education in Sydney, Australia. Race Ethnicity and Education, 19(3), 618-638.
Galli, M., & Minerva, T. (1999). Algoritmi genetici per l’evoluzione di modelli lineari.
Metodologia ed Applicazioni [Working paper]. Retrieved from:
http://morgana.unimore.it/materiali_discussione/0284.pdf
González-González, C. S., Infante-Moro, A., & Infante-Moro, J. C. (2020). Implementation of E-proctoring in Online Teaching: A Study about Motivational Factors. Sustainability, 12(8).
Greller, W., & Drachsler, H. (2012). Translating Learning into Numbers: A Generic Framework for Learning Analytics. Educational Technology & Society, 15(3), 42– 57.
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., & Tatham, R.L. (2014). Multivariate data analysis (7th ed.). Edinburgh Gate, Harlow, Essex (GB): Pearson.
Han, I., & Shin, W.S. (2016). The use of a mobile learning management system and academic achievement of online students. Computers & Education, 102, 79-89.
Hynes, H., Stoyanov, S., Drachsler, H., Maher, B., Orrego, C., Stieger, L., Druener, S., Sopka, S., SchrXder, H., & Henn, P. (2015). Designing learning outcomes for handoff teaching of medical students using group concept mapping: 1ndings from a multicountry European study. Academic Medicine, 90(7), 988-994.
Hussein, A. A. (2020). Fifty-Six Big Data V’s Characteristics and Proposed Strategies to Overcome Security and Privacy Challenges (BD2). Journal of Information Security, 11(4), 304-328.
Istat (2016). Aspetti della vita quotidiana 2016. Aspetti metodologici della ricerca [Aspects of daily life 2016. Survey Methodology]. Retrieved from: http://www.istat.it/it/archivio/129956
Iten, N., & Petko, D. (2016). Learning with serious games: Is fun playing the game a predictor of learning success?. British Journal of Educational Technology, 47(1), 151-163.
Kassambara, A. (2017). Practical Guide to Principal Component Methods in R. STHDA, Statistical tools for high-throughput data analysis.
Kay, R. H., & Loverock, S. (2008). Assessing emotions related to learning new software:
The computer emotion scale. Computers in Human Behavior, 24(4), 1605-1623.
Khalil, M. & Ebner, M. (2015). Learning Analytics: Principles and Constraints. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2015 (pp. 1326-1336). Chesapeake, VA: AACE.
Khan, N., Alsaqer, M., Shah, H., Badsha, G., Abbasi, A. A., & Salehian, S. (2018). The 10 Vs, issues and challenges of big data. In Proceedings of the 2018 international conference on big data and education (pp. 52-56).
Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society, 3(1), 1-10.
Kmiotek-Meier, E. A., Skrobanek, J., Nienaber, B., Vysotskaya, V., Samuk, S., Ardic, T., Pavlova, I., Dabasi-Halázs, Z., Diaz, C., Bissinger, J., Schlimbach, T., & Horvath, K. (2019). Why is it so hard? And for whom? Obstacles to intra-European mobility. Migration Letters, 16(1), 31-44.
Kolski, T., & Weible, J. (2018). Examining the relationship between student test anxiety and webcam based exam proctoring. Online Journal of Distance Learning Administration, 21(3).
Kovanović, V., Joksimović, S., Poquet, O., Hennis, T., de Vries, P., Hatala, M., Dawson,
S., Siemens, G., & Gašević, D (2019). Examining communities of inquiry in Massive Open Online Courses: The role of study strategies. The Internet and Higher Education, 40, pp. 20-43.
Lang, C., Wise, A.F., Merceron, A., Gašević, D., & Siemens, G. (2022). What is Learning Analytics? In C. Lang, G. Siemens, A. Friend Wise, D. Gašević & A. Merceron (Eds.). Handbook of Learning Analytics (2nd. ed.). Vancouver: SoLAR.
Laurillard, D. (2012). Teaching as a Design Science: Building Pedagogical Patterns for