參考文獻 |
吳清山. (2002). 創意教學的重要理念與實施策略. 臺灣教育(614), 2-8.
教育部. (2014). 十二年國民基本教育課程綱要總綱. 臺北市: 教育部.
Agudo-Peregrina, Á. F., Iglesias-Pradas, S., Conde-González, M. Á., & Hernández-García, Á. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in human behavior, 31, 542-550. https://doi.org/10.1016/j.chb.2013.05.031 Albanese, M. A., & Mitchell, S. (1993). Problem-based learning: A review of literature on its outcomes and implementation issues. Academic medicine, 68(1), 52-81. https://journals.lww.com/academicmedicine/Abstract/1993/01000/Problem_based_Le arning__A_Review_of_Literature_on.20.aspx Ali, L., Asadi, M., Gašević, D., Jovanović, J., & Hatala, M. (2013). Factors influencing beliefs for adoption of a learning analytics tool: An empirical study. Computers & Education, 62, 130-148. https://doi.org/10.1016/j.compedu.2012.10.023 Andrist, S., Collier, W., Gleicher, M., Mutlu, B., & Shaffer, D. (2015). Look together: Analyzing gaze coordination with epistemic network analysis. Frontiers in psychology, 6, 1016. https://doi.org/10.3389/fpsyg.2015.01016 Arastoopour Irgens, G., Shaffer, D. W., Swiecki, Z., Ruis, A., & Chesler, N. C. (2015). Teaching and assessing engineering design thinking with virtual internships and epistemic network analysis. International Journal of Engineering Education. https://www.ijee.ie/contents/c320316B.html Azevedo, R. (2005). Computer environments as metacognitive tools for enhancing learning. Educational psychologist, 40(4), 193-197. https://doi.org/10.1207/s15326985ep4004_1 Azevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary educational psychology, 29(3), 344-370. https://doi.org/10.1016/j.cedpsych.2003.09.002 Bajzek, D., Brown, W., Lovett, M., & Rule, G. (2007). Inventing the digital dashboard for learning. EdMedia+ Innovate Learning, https://www.learntechlib.org/primary/p/25512/ Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning: An approach to medical education (Vol. 1). Springer Publishing Company. Bedir, H. (2019). Pre-service ELT teachers’ beliefs and perceptions on 21st century learning and innovation skills (4Cs). Journal of Language and Linguistic Studies, 15(1), 231246. https://doi.org/10.17263/jlls.547718 89 Bell, S. (2010). Project-based learning for the 21st century: Skills for the future. The clearing house, 83(2), 39-43. https://doi.org/10.1080/00098650903505415 Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: principles, policy & practice, 5(1), 7-74. https://doi.org/10.1080/0969595980050102 Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S., Guzdial, M., & Palincsar, A. (1991). Motivating project-based learning: Sustaining the doing, supporting the learning. Educational psychologist, 26(3-4), 369-398. https://doi.org/10.1080/00461520.1991.9653139 Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and instruction, 7(2), 161-186. https://doi.org/10.1016/S0959-4752(96)000. https://doi.org/ Boss, S. (2013). PBL for 21st century success (J. Larmer Ed.). Novato, California: Buck Institute for Education. Bostock, M., Ogievetsky, V., & Heer, J. (2011). D³ data-driven documents. IEEE transactions on visualization and computer graphics, 17(12), 2301-2309. . https://doi.org/10.1109/TVCG.2011.185 Boud, D., & Feletti, G. (1997). Changing problem-based learning: Introduction to the second edition. The challenge of problem-based learning, 1-14. Boud, D., & Griffin, V. (1987). Appreciating adults learning: From the learners′ perspective. Kogan Page Limited. Bowman, D., Swiecki, Z., Cai, Z., Wang, Y., Eagan, B., Linderoth, J., & Shaffer, D. W. (2021). The mathematical foundations of epistemic network analysis. Advances in Quantitative Ethnography: Second International Conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, Proceedings 2, Brückner, S., Schneider, J., Zlatkin-Troitschanskaia, O., & Drachsler, H. (2020). Epistemic network analyses of economics students’ graph understanding: An eye-tracking study. Sensors, 20(23), 6908. https://doi.org/10.3390/s20236908 Chalkiadaki, A. (2018). A systematic literature review of 21st century skills and competencies in primary education. International Journal of Instruction, 11(3), 1-16. Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012). A reference model for learning analytics. International Journal of Technology Enhanced Learning, 4(5-6), 318-331. https://doi.org/10.1504/IJTEL.2012.051815 Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 1165-1188. https://www.jstor.org/stable/41703503 Collins, A. (1991). Cognitive apprenticeship and instructional technology. Educational values and cognitive instruction: Implications for reform, 1991, 121-138. Colvin, C., Rogers, T., Wade, A., Dawson, S., Gasevic, D., Buckingham Shum, S., Nelson, K., Alexander, S., Lockyer, L., & Kennedy, G. (2016). Student retention and learning analytics: A snapshot of Australian practices and a framework for advancement. 90 D’Angelo, A.-L. D., Ruis, A. R., Collier, W., Shaffer, D. W., & Pugh, C. M. (2020). Evaluating how residents talk and what it means for surgical performance in the simulation lab. The American Journal of Surgery, 220(1), 37-43. https://doi.org/10.1016/j.amjsurg.2020.02.016 Dawson, S., Gašević, D., Siemens, G., & Joksimovic, S. (2014). Current state and future trends: A citation network analysis of the learning analytics field. Proceedings of the fourth international conference on learning analytics and knowledge, https://doi.org/10.1145/2567574.2567585 Dillenbourg, P. (1999). What do you mean by collaborative learning? In: Oxford: Elsevier. Dillon, C., & Greene, B. (2003). Learner differences in distance learning: Finding differences that matter. Handbook of distance education, 235-244. Dochy, F., Segers, M., Van den Bossche, P., & Gijbels, D. (2003). Effects of problem-based learning: A meta-analysis. Learning and instruction, 13(5), 533-568. Donham, R. S., Schmieg, F., & Allen, D. (2001). The large and the small of it. The power of problem-based learning, 179-190. Dubovi, I., & Tabak, I. (2021). Interactions between emotional and cognitive engagement with science on YouTube. Public Understanding of Science, 30(6), 759-776. Duch, B. J., Groh, S. E., & Allen, D. E. (2001). The power of problem-based learning: a practical" how to" for teaching undergraduate courses in any discipline. Stylus Publishing, LLC. Duval, E. (2011). Attention please! Learning analytics for visualization and recommendation. Proceedings of the 1st international conference on learning analytics and knowledge. https://doi.org/10.1145/2090116.2090118 Eagan, B., & Hamilton, E. (2018). Epistemic network analysis of an international digital makerspace in Africa, Europe, and the US. Annual Meeting of the American Education Research Association, New York City, Erkens, G., Jaspers, J., Prangsma, M., & Kanselaar, G. (2005). Coordination processes in computer supported collaborative writing. Computers in human behavior, 21(3), 463486. https://doi.org/10.1016/j.chb.2004.10.038 Felder, R. M., & Brent, R. (1996). Navigating the Bumpy Road to Student-Centered Instruction. College Teaching, 44(2), 43-47. https://doi.org/10.1080/87567555.1996.9933425 Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten/Stephen C. In: Few. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the national academy of sciences, 111(23), 8410-8415. Friendly, M. (2008). The Golden Age of Statistical Graphics. Statistical Science, 23(4), 502535. http://www.jstor.org/stable/20697655 91 Gašević, D., Dawson, S., & Siemens, G. (2015). Let’s not forget: Learning analytics are about learning. TechTrends, 59, 64-71. Gitelman, L. (2013). Raw data is an oxymoron. MIT press. Graafland, J. H. (2018). New technologies and 21st century children: Recent trends and outcomes. https://doi.org/10.1787/19939019 Hakkarainen, K., Ilomäki, L., Lipponen, L., Muukkonen, H., Rahikainen, M., Tuominen, T., Lakkala, M., & Lehtinen, E. (2000). Students’ skills and practices of using ICT: Results of a national assessment in Finland. Computers & Education, 34(2), 103-117. https://doi.org/10.1016/S0360-1315(00)00007-5 Haythornthwaite, C., de Laat, M., & Dawson, S. (2013). Introduction to the special issue on learning analytics. In (Vol. 57, pp. 1371-1379): Sage Publications Sage CA: Los Angeles, CA. Heikkilä, A., & Lonka, K. (2006). Studying in higher education: students′ approaches to learning, self‐regulation, and cognitive strategies. Studies in higher education, 31(1), 99-117. https://doi.org/10.1080/03075070500392433 Hiltz, S. R., & Turoff, M. (2005). Education goes digital: The evolution of online learning and the revolution in higher education. Communications of the ACM, 48(10), 59-64. https://doi.org/10.1145/1089107.1089139 Hod, Y., Katz, S., & Eagan, B. (2020). Refining qualitative ethnographies using Epistemic Network Analysis: A study of socioemotional learning dimensions in a Humanistic Knowledge Building Community. Computers & Education, 156, 103943. Hostetter, C., & Busch, M. (2013). Community matters: Social presence and learning outcomes. Journal of the Scholarship of Teaching and Learning, 13(1), 77-86. https://scholarworks.iu.edu/journals/index.php/josotl/article/view/3268 Hung, J.-L., & Zhang, K. (2008). Revealing online learning behaviors and activity patterns and making predictions with data mining techniques in online teaching. MERLOT Journal of Online Learning and Teaching. Hung, W., Jonassen, D. H., & Liu, R. (2008). Problem-based learning. In Handbook of research on educational communications and technology (pp. 485-506). Routledge. Hursen, Ç. (2018). The impact of Edmodo-assisted project-based learning applications on the inquiry skills and the academic achievement of prospective teachers. TEM Journal, 7(2), 446-455. Hwang, G.-J. (2002). On the development of a cooperative tutoring environment on computer networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 32(3), 272-278. https://doi.org/ 10.1109/TSMCC.2002.804451 Hwang, G.-J., Wang, S.-Y., & Lai, C.-L. (2021). Effects of a social regulation-based online learning framework on students’ learning achievements and behaviors in mathematics. Computers & Education, 160, 104031. 92 Hwang, S. Y., & Kim, M. J. (2006). A comparison of problem-based learning and lecture-based learning in an adult health nursing course. Nurse education today, 26(4), 315-321. Järvelä, S., & Hadwin, A. F. (2013). New frontiers: Regulating learning in CSCL. Educational psychologist, 48(1), 25-39. Johnson, D. W., & Johnson, R. T. (1989). Cooperation and competition: Theory and research. Interaction Book Company. Johnson, D. W., Johnson, R. T., & Holubec, E. J. (1994). The new circles of learning: Cooperation in the classroom and school. ASCD. Johnson, D. W., Johnson, R. T., & Stanne, M. B. (2000). Cooperative learning methods: A meta-analysis. Johnson, K. A., & Johnson, D. E. (1995). Methane emissions from cattle. Journal of animal science, 73(8), 2483-2492. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., & Ludgate, H. (2013). NMC Horizon Report: 2013 K-2013, Austin, Texas: The New Media Consortium. Retrieved March, 24, 2014. Johnson, L., Becker, S. A., Estrada, V., & Freeman, A. (2014). NMC horizon report: 2014 K. The New Media Consortium. Karau, S. J., & Williams, K. D. (1993). Social loafing: A meta-analytic review and theoretical integration. Journal of personality and social psychology, 65(4), 681. Kelleher, J. D., & Tierney, B. (2018). Data science. MIT Press. Kids, B. f. (2019). Framework for 21st century learning definitions. In: Battelle for Kids. Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. John Wiley & Sons. Krajcik, J. S., & Blumenfeld, P. C. (2006). Project-based learning. na. Kreijns, K., Kirschner, P. A., & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in human behavior, 19(3), 335-353. Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS one, 8(2), e56936. Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International journal of information management, 34(3), 387-394. Larmer, J., Mergendoller, J., & Boss, S. (2015). Setting the standard for project based learning. ASCD. Larson, K., Sahm, J., Shenkar, R., & Strauss, B. (1985). Methylation-induced blocks to in vitro DNA replication. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 150(1-2), 77-84. 93 Lin, Y., Zheng, L., Zheng, Z., Wu, Y., Hu, Z., Yan, C., & Yang, Y. (2019). Improving person re-identification by attribute and identity learning. Pattern recognition, 95, 151-161. Littleton, K., Hakkinen, P., & Dillenbourg, P. (1999). Collaborative learning: Cognitive and computational approaches. In: Amsterdam: Pergamon. Liu, S., Cui, W., Wu, Y., & Liu, M. (2014). A survey on information visualization: recent advances and challenges. The Visual Computer, 30, 1373-1393. Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an “early warning system” for educators: A proof of concept. Computers & Education, 54(2), 588-599. Marchaim, U. (2001). High-school student research at Migal science institute in Israel: Case Study. Journal of Biological Education, 35(4), 178-182. McCandless, D. (2012). Information is beautiful. Collins London. McCrudden, M. T., & Schraw, G. (2007). Relevance and goal-focusing in text processing. Educational psychology review, 19, 113-139. McLaughlin, J. E., Roth, M. T., Glatt, D. M., Gharkholonarehe, N., Davidson, C. A., Griffin, L. M., ... & Mumper, R. J. (2013). The flipped classroom: a course redesign to foster learning and engagement in a health professions school. . Micikas, L. B. (1996). Designing a Biology Curriculum That Promotes Scientific Literacy. Journal of College Science Teaching, 25(6), 431-434. Miller, T. (2011). Making sense of fatherhood. Gender, caring and work. Murphy, K. L., & Gazi, Y. (2001). Role plays, panel discussions and simulations: Project-based learning in a web-based course. Educational Media International, 38(4), 261-270. Murrell, P. (2018). R graphics. CRC Press. Nijhof, W., & Kommers, P. (1985). An analysis of cooperation in relation to cognitive controversy. Learning to cooperate, cooperating to learn, 125-145. Park, Y., & Jo, I.-H. (2015). Development of the learning analytics dashboard to support students’ learning performance. Journal of Universal Computer Science, 21(1), 110. Petri, G., & von Wangenheim, C. G. (2017). How games for computing education are evaluated? A systematic literature review. Computers & Education, 107, 68-90. Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In Handbook of self-regulation (pp. 451-502). Elsevier. Playfair, W. (1801). The commercial and political atlas: representing, by means of stained copper-plate charts, the progress of the commerce, revenues, expenditure and debts of england during the whole of the eighteenth century. T. Burton. Polman, J. L. (1998). Activity Structures for Project-Based Teaching and Learning: Design and Adaptation of Cultural Tools. Roschelle, J., & Teasley, S. D. (1995). The construction of shared knowledge in collaborative problem solving. Computer supported collaborative learning, Ruis, A., Rosser, A. A., Quandt-Walle, C., Nathwani, J. N., Shaffer, D. W., & Pugh, C. M. (2018). The hands and head of a surgeon: Modeling operative competency with 94 multimodal epistemic network analysis. The American Journal of Surgery, 216(5), 835840. Ruiz, J. S., Díaz, H. J. P., Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., & Kloos, C. D. (2014). Towards the development of a learning analytics extension in open edX. Proceedings of the second international conference on technological ecosystems for enhancing multiculturality, Rummel, N., & Spada, H. (2005). Learning to collaborate: An instructional approach to promoting collaborative problem solving in computer-mediated settings. The journal of the Learning Sciences, 14(2), 201-241. Salomon, G., & Globerson, T. (1989). When teams do not function the way they ought to. International journal of Educational research, 13(1), 89-99. Schnaider, K., Schiavetto, S., Meier, F., Wasson, B., Allsopp, B. B., & Spikol, D. (2021). Governmental response to the covid-19 pandemic-a quantitative ethnographic comparison of public health authorities’ communication in denmark, norway, and Sweden. Advances in Quantitative Ethnography: Second International Conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, Proceedings 2, Schunk, D. H. (1994). Self-regulation of self-efficacy and attributions in academic settings. Schwendimann, B. A., Rodriguez-Triana, M. J., Vozniuk, A., Prieto, L. P., Boroujeni, M. S., Holzer, A., Gillet, D., & Dillenbourg, P. (2016). Perceiving learning at a glance: A systematic literature review of learning dashboard research. IEEE Transactions on Learning Technologies, 10(1), 30-41. Shaffer, D., & Ruis, A. (2017). Epistemic network analysis: A worked example of theory-based learning analytics. Handbook of learning analytics. Shaffer, D. W. (2017). Quantitative ethnography. Lulu. com. Shaffer, D. W., Collier, W., & Ruis, A. R. (2016). A tutorial on epistemic network analysis: Analyzing the structure of connections in cognitive, social, and interaction data. Journal of Learning Analytics, 3(3), 9-45. Shaffer, D. W., Hatfield, D., Svarovsky, G. N., Nash, P., Nulty, A., Bagley, E., Frank, K., Rupp, A. A., & Mislevy, R. (2009). Epistemic network analysis: A prototype for 21st-century assessment of learning. International Journal of Learning and Media, 1(2), 33-53. Siemens, G., & Gasevic, D. (2012). Guest editorial-learning and knowledge analytics. Journal of Educational Technology & Society, 15(3), 1-2. Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE review, 46(5), 30. Simon, J. R. (1969). Reactions toward the source of stimulation. Journal of Experimental Psychology, 81, 174-176. https://doi.org/10.1037/h0027448 Slavin, R. E. (1985). An introduction to cooperative learning research. Learning to cooperate, cooperating to learn, 5-15. Stahl, G., Koschmann, T. D., & Suthers, D. D. (2006). CSCL: An historical perspective. 95 Su, Y., Li, Y., Hu, H., & Rosé, C. P. (2018). Exploring college English language learners’ self and social regulation of learning during wiki-supported collaborative reading activities. International Journal of Computer-Supported Collaborative Learning, 13, 35-60. Sullivan, S., Warner-Hillard, C., Eagan, B., Thompson, R. J., Ruis, A. R., Haines, K., Pugh, C. M., Shaffer, D. W., & Jung, H. S. (2018). Using epistemic network analysis to identify targets for educational interventions in trauma team communication. Surgery, 163(4), 938-943. Sung, H., Cao, S., Ruis, A. R., & Shaffer, D. W. (2019). Reading for breadth, reading for depth: Understanding the relationship between reading and complex thinking using epistemic network analysis. International Conference on Computer Supported Collaborative Learning, Sungur, S., & Tekkaya, C. (2006). Effects of problem-based learning and traditional instruction on self-regulated learning. The journal of educational research, 99(5), 307-320. Swayne, D. F., Lang, D. T., Buja, A., & Cook, D. (2003). GGobi: evolving from XGobi into an extensible framework for interactive data visualization. Computational Statistics & Data Analysis, 43(4), 423-444. https://doi.org/https://doi.org/10.1016/S01679473(02)00286-4 Theus, M. (2002). Interactive data visualization using Mondrian. Journal of Statistical Software, 7, 1-9. Thomas, R. M. (2000). Comparing theories of child development. Wadsworth/Thomson Learning. Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. John Wiley & Sons. Tsai, C. C. (2004). Beyond cognitive and metacognitive tools: The use of the Internet as an ‘epistemological’tool for instruction. British Journal of Educational Technology, 35(5), 525-536. Tukey, J. W. (1962). The future of data analysis. The annals of mathematical statistics, 33(1), 1-67. Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2013). Learning analytics dashboard applications. American Behavioral Scientist, 57(10), 1500-1509. Verbert, K., Govaerts, S., Duval, E., Santos, J. L., Van Assche, F., Parra, G., & Klerkx, J. (2014). Learning dashboards: an overview and future research opportunities. Personal and Ubiquitous Computing, 18, 1499-1514. Vernon, D. T., & Blake, R. L. (1993). Does problem-based learning work? A meta-analysis of evaluative research. Academic medicine, 68(7), 550-563. Volet, S., & Summers, M. (2013). Interpersonal regulation in collaborative learning activities. Interpersonal regulation of learning and motivation: Methodological advances, 204. Volet, S., Vauras, M., & Salonen, P. (2009). Self-and social regulation in learning contexts: An integrative perspective. Educational psychologist, 44(4), 215-226. 96 Vygotsky, L. S. (1986). Thought and language-Revised edition. Cambridge, MA: Massachusetts Institute of Technology. Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press. Winne, P., & Hadwin, A. (2010). Self-Regulated Learning and Socio-Cognitive Theory. Learning and cognition in education, 34-39. https://doi.org/10.1016/B978-0-08044894-7.00470-X Wooldridge, A. R., Carayon, P., Shaffer, D. W., & Eagan, B. (2018). Quantifying the qualitative with epistemic network analysis: a human factors case study of task-allocation communication in a primary care team. IISE transactions on healthcare systems engineering, 8(1), 72-82. Yew, E. H., & Yong, J. J. (2014). Student perceptions of facilitators’ social congruence, use of expertise and cognitive congruence in problem-based learning. Instructional Science, 42, 795-815. Yousef, A. M. F., & Khatiry, A. R. (2021). Cognitive versus behavioral learning analytics dashboards for supporting learner’s awareness, reflection, and learning process. Interactive Learning Environments, 1-17. Zamecnik, A., Kovanović, V., Grossmann, G., Joksimović, S., Jolliffe, G., Gibson, D., & Pardo, A. (2022). Team interactions with learning analytics dashboards. Computers & Education, 185, 104514. Zhang, S., Liu, Q., & Cai, Z. (2019). Exploring primary school teachers’ technological pedagogical content knowledge (TPACK) in online collaborative discourse: An epistemic network analysis. British Journal of Educational Technology, 50(6), 34373455. Zheng, J., Xing, W., & Zhu, G. (2019). Examining sequential patterns of self-and socially shared regulation of STEM learning in a CSCL environment. Computers & education, 136, 34-48. Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of educational psychology, 81(3), 329. Zimmerman, B. J. (1998). Developing self-fulfilling cycles of academic regulation: an analysis of exemplary instructional models. Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Handbook of self-regulation (pp. 13-39). Elsevier. Zörgő, S., & Peters, G.-J. Y. (2019). Epistemic network analysis for semi-structured interviews and other continuous narratives: challenges and insights. Advances in Quantitative Ethnography: First International Conference, ICQE 2019, Madison, WI, USA, October 20–22, 2019, Proceedings 1(pp. 267-277). Springer International Publishing. |