Referencias
Barnett, R. (2018). The ecological university: A feasible utopia. London: Routledge. https://doi.org/10.4324/9781315194899-1
Link DOI | Link Google Scholar
Barron, B. (2004). Learning ecologies for technological fluency: Gender and experience differences. Journal of Educational Computing Research, 31(1), 1-36. https://doi.org/10.2190/1n20-vv12-4rb5-33va
Link DOI | Link Google Scholar
Barron, B. (2006). Interest and self-sustained learning as catalysts of development: A learning ecology perspective. Human Development, 49(4), 193-224. https://doi.org/10.1159/000094368
Link DOI | Link Google Scholar
Barron, B., Wise, S., & Martin, C. (2013). Creating within and across life spaces: The role of a computer clubhouse in a child’s learning ecology. In B. Bevan, P. Bell, R. Stevens & A. Razfar (Eds.), LOST Opportunities (pp. 99-118). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-4304-5_8
Link DOI | Link Google Scholar
Biggs, J., Kember, D., & Leung, D. (2001). The revised two-factor study process questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71, 133-149. https://doi.org/10.1348/000709901158433
Link DOI | Link Google Scholar
Bliuc, A.M, Ellis, R., Goodyear, P., & Piggott, L. (2010). Learning through face-to-face and online discussions: Associations between students’ conceptions, approaches and academic performance in political science. British Journal of Educational Technology, 41(3), 512-524. https://doi.org/10.1111/j.1467-8535.2009.00966.x
Link DOI | Link Google Scholar
Bonacich, P. (2007). Some unique properties of eigenvector centrality. Social Networks, 29(4), 555-564. https://doi.org/10.1016/j.socnet.2007.04.002
Link DOI | Link Google Scholar
Brewe, E., Kramer, L., & Sawtelle, V. (2012). Investigating student communities with network analysis of interactions in a physics learning center. Physical Review Special Topics-PER, 8, 010101. https://doi.org/10.1103/PhysRevSTPER.8.010101
Link DOI | Link Google Scholar
Cadima, R., Ojeda, J., & Monguet, M. (2012). Social networks and performance in distributed learning communities. Educational Technology and Society, 15(4), 296-304. https://bit.ly/2ZTD616
Link Google Scholar
Cope, B., & Kalantzis, M. (2017). E-learning ecologies: Principles for new learning and assessment. New York: Routledge. https://doi.org/10.4324/9781315639215
Link DOI | Link Google Scholar
Crawford, K., Gordon, S., Nicholas, J., & Prosser, M. (1998). Qualitatively different experiences of learning mathematics at university. Learning and Instruction, 8(5), 455-468. https://doi.org/10.1016/S0959-4752(98)00005-X
Link DOI | Link Google Scholar
De-Nooy, W., Mrvar, A., & Batagelj, V. (2011). Exploratory social network analysis with Pajek (2nd ed.). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511996368
Link DOI | Link Google Scholar
Ellis, R., & Bliuc, A. (2016). An exploration into first-year university students’ approaches to inquiry and online learning technologies in blended environments. British Journal of Educational Technology, 47(5), 970-980. https://doi.org/10.1111/bjet.12385
Link DOI | Link Google Scholar
Ellis, R., & Goodyear, P. (2019). The education ecology of universities: Integrating learning, strategy and the academy. London: Routledge. https://doi.org/10.4324/9781351135863
Link DOI | Link Google Scholar
Ellis, R., Bliuc, A., & Goodyear, P. (2012). Student experiences of engaged enquiry in pharmacy education: Digital natives or something else? Higher Education, 64(5), 609-626. https://doi.org/10.1007/s10734-012-9515-6
Link DOI | Link Google Scholar
Ellis, R., Pardo, A., & Han, F. (2016). Quality in blended learning environments – significant differences in how students approach learning collaborations. Computers & Education, 102, 90-102. https://doi.org/10.1016/j.compedu.2016.07.006
Link DOI | Link Google Scholar
Entwistle, N., & Ramsden, P. (2015). Understanding student learning. London: Routledge. https://doi.org/10.1016/b978-0-12-805359-1.00012-7
Link DOI | Link Google Scholar
Fenwick, T. (2014). Sociomateriality in medical practice and learning: Attuning to what matters. Medical Education, 48(1), 44-52. https://doi.org/10.1111/medu.12295
Link DOI | Link Google Scholar
Fenwick, T., & Landri, P. (2012). Materialities, textures and pedagogies: Socio-material assemblages in education. Pedagogy, Culture & Society, 20(1), 1-7. https://doi.org/10.1080/14681366.2012.649421
Link DOI | Link Google Scholar
Fenwick, T., Nerland, M., & Jensen, K. (2012). Sociomaterial approaches to conceptualizing professional learning and practice. Journal of Education and Work, 25(1), 1-13. https://doi.org/10.1080/13639080.2012.644901
Link DOI | Link Google Scholar
Freeman, L. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35-41. https://doi.org/10.2307/3033543
Link DOI | Link Google Scholar
Han, F., & Ellis, R. (2019a). Initial development and validation of the perceptions of the blended learning environment questionnaire. Journal of Psychoeducational Assessment. https://doi.org/10.1177/0734282919834091
Link DOI | Link Google Scholar
Han, F., & Ellis, R. (2019b). Identifying consistent patterns of quality learning discussions in blended learning. Internet and Higher Education, 40, 12-19. https://doi.org/10.1016/j.iheduc.2018.09.002
Link DOI | Link Google Scholar
Jackson, N. (2013). The concept of learning ecologies. In N. Jackson & G. Cooper (Eds.), Lifewide learning, education and personal development e-book (pp. 1-21). https://bit.ly/28Jc8As
Link Google Scholar
Kember, D. (2015). Taking qualitative studies beyond findings of a limited number of categories, with motivational orientation as an example. In V. Donche, S. De-Mayer, D. Gijbels, & H. Van-den-Bergh (Eds.), Methodological challenges in research on student learning (pp. 91-106). Antwerp: Garant Publishers. https://bit.ly/2Z2uyUx
Link Google Scholar
Nelson-Laird, T., Seifert, T., Pascarella, E., Mayhew, M., & Blaich, C. (2014). Deeply affecting first-year students’ thinking: Deep approaches to learning and three dimensions of cognitive development. Journal of Higher Education, 85(3), 402-432. https://doi.org/10.1080/00221546.2014.11777333
Link DOI | Link Google Scholar
Patterson, L., & Holladay, R. (2017). Deep learning ecologies: An invitation to complex teaching and learning. Circle Pines, MN: Human Systems Dynamics Institute. https://amzn.to/33tSPGr
Link Google Scholar
Pintrich, P. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385-407. https://doi.org/10.1007/s10648-004-0006-x
Link DOI | Link Google Scholar
Prosser, M., & Trigwell, K. (2017). Student learning and the experience of teaching. HERDSA Review of Higher Education, 4, 5-27. https://bit.ly/2H07sYo
Link Google Scholar
Quardokus, K., & Henderson, C. (2015). Promoting instructional change: Using social network analysis to understand the informal structure of academic departments. Higher Education, 70(3), 315-335. https://doi.org/10.1007/s10734-014-9831-0
Link DOI | Link Google Scholar
Rienties, B., Héliot, Y., & Jindal-Snape, D. (2013). Understanding social learning relations of international students in a large classroom using social network analysis. Studies in Higher Education, 66(4), 489-504. https://doi.org/10.1007/s10734-013-9617-9
Link DOI | Link Google Scholar
Rodríguez-Hidalgo, R., Zhu, C., Questier, F., & Torrens-Alfonso, A. (2011). Using social network analysis for analysing online threaded discussions. International Journal of Learning, Teaching and Educational Research, 10(3), 128-146. https://doi.org/10.1080/00221546.2014.11777333
Link DOI | Link Google Scholar
Tomás-Miquel, J., Expósito-Langa, M., & Nicolau-Juliá, D. (2016). The influence of relationship networks on academic performance in higher education: A comparative study between students of a creative and a non-creative discipline. Higher Education, 71(3), 307-322. https://doi.org/10.1007/s10734-015-9904-8
Link DOI | Link Google Scholar
Vermunt, J., & Donche, V. (2017). A learning patterns perspective on student learning in higher education: State of the art and moving forward. Educational Psychology Review, 29(2), 269-299. https://doi.org/10.1007/s10648-017-9414-6
Link DOI | Link Google Scholar
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. New York: Cambridge University Press. https://doi.org/10.1017/CBO9780511815478
Link DOI | Link Google Scholar
