A handheld classroom dashboard: Teachers’ perspectives on the use of real-time collaborative learning analytics

• Alavi, H., Dillenbourg, P, & Kaplan, F. (2009). Distributed awareness for class orchestration. In Proceedings of European Conference on Technology Enhanced Learning, (pp. 211–225). Springer.

• Bannon, L. J. (1995). Issues in computer supported collaborative learning. Paper presented at the Computer supported collaborative learning, (pp. 267–281). Springer.

• Beetham, H., & Sharpe, R. (2013). Rethinking pedagogy for a digital age: designing and delivering e-learning. London: Routledge Falmer.

  Google Scholar 

• Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. Washington, DC: US Department of Education, Office of Educational Technology.

• Bishop, J. L., & Verleger, M. A. (2013). The flipped classroom: A survey of the research. In Proceedings of ASEE National Conference, (pp. 1–18).

• Bodily, R., & Verbert, K. (2017). Trends and issues in student-facing learning analytics reporting systems research. In Proceedings of International Conference on Learning Analytics and Knowledge, LAK'17, (pp. 309–318). ACM.

• Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. The Journal of the Learning Sciences, 2(2), 141–178.

  Article  Google Scholar 

• Bruce, B. C., & Rubin, A. (1993). Electronic quills: A situated evaluation of using computers for writing in classrooms. Hillsdale: Lawrence Erlbaum Associates.

  Google Scholar 

• Buckingham Shum, S., & Crick, R. D. (2016). Learning Analytics for 21st Century Competencies. Journal of Learning Analytics, 3(2), 6–21.

  Article  Google Scholar 

• Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in information visualization: using vision to think. Burlington, USA: Morgan Kaufmann.

• Chandrasegaran, Senthil, Chris Bryan, Hidekazu Shidara, Tung-Yen Chuang, and Kwan-Liu Ma. (2019). TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems, CHI'19, (pp. 577:571--577:514). ACM.

• Cheema, S., VanLehn, K., Burkhardt, H., Pead, D., & Schoenfeld, A. (2016). Electronic posters to support formative assessment. In Proceedings of 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, (pp. 1159–1164). ACM.

• Chen, F.-H., Looi, C.-K., & Chen, W. (2009). Integrating technology in the classroom: a visual conceptualization of teachers' knowledge, goals and beliefs. Journal of Computer Assisted Learning, 25(5), 470–488.

  Article  Google Scholar 

• Chen, W., Looi, C.-K., & Tan, S. (2010). What do students do in a F2F CSCL classroom? The optimization of multiple communications modes. Computers & Education, 55(3), 1159–1170.

  Article  Google Scholar 

• Clayphan, A., Martinez-Maldonado, R., Tomitsch, M., Atkinson, S., & Kay, J. (2016). An In-the-Wild Study of Learning to Brainstorm: Comparing Cards, Tabletops and Wall Displays in the Classroom. Interacting with Computers.

• Dillenbourg, P. (2013). Design for classroom orchestration. Computers & Education, 69, 485–492.

  Article  Google Scholar 

• Dillenbourg, P. (2015). Orchestration graphs. Lausanne, Switzerland: EPFL Press.

• Dillenbourg, P., & Evans, M. (2011). Interactive tabletops in education. International Journal of Computer-Supported Collaborative Learning, 6(4), 491–514.

  Article  Google Scholar 

• Dillenbourg, P., & Hong, F. (2008). The mechanics of CSCL macro scripts. International Journal of Computer-Supported Collaborative Learning, 3(1), 5–23.

  Article  Google Scholar 

• Dillenbourg, P., Järvelä, S., & Fischer, F. (2009). The evolution of research on computer-supported collaborative learning. In N. Balacheff, S. Ludvigsen, T. de Jong, A. Lazonder, & S. Barnes (Eds.), Technology-enhanced learning: principles and products (pp. 3–19). Dordrecht: Springer.

  Chapter  Google Scholar 

• Dillenbourg, P., Prieto, L. P., & Olsen, J. K. (2018). Classroom Orchestration. In F. Fischer, C. E. Hmelo-Silver, S. R. Goldman, & P. Reimann (Eds.), International Handbook of the Learning Sciences (pp. 180–190). London, UK: Routledge.

  Chapter  Google Scholar 

• Dillenbourg, P., Zufferey, G., Alavi, H., Jermann, P., Do-Lenh, S., Bonnard, Q., Cuendet, S., & Kaplan, F. (2011). Classroom orchestration: The third circle of usability. In Proceedings of International Conference on Computer Supported Collaborative Learning, CSCL'11, (pp. 510–517). Springer.

• Dillenbourg, P., & Jermann, P. (2010). Technology for classroom orchestration. In M. S. Khine & I. M. Saleh (Eds.), New science of learning (pp. 525–552). New York: Springer.

  Chapter  Google Scholar 

• Dimitriadis, Y. A. (2012). Supporting Teachers in Orchestrating CSCL Classrooms. In A. Jimoyiannis (Ed.), Research on e-Learning and ICT in Education (pp. 71–82). New York: Springer.

  Chapter  Google Scholar 

• Do-Lenh, Son. (2012). Supporting Reflection and Classroom Orchestration with Tangible Tabletops. Doctoral dissertation. École Polytechnique Fédérale de Lausanne, Switzerland: CRAFT group, School of Computer Science.

• Echeverria, V., Martinez-Maldonado, R., & Shum, S. B.. (2019). Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems, CHI'19, (pp. 39, 31–16). ACM.

• Echeverria, V., Martinez-Maldonado, R., Shum, S. B., Chiluiza, K., Granda, R., & Conati, C. (2018). Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers’ Attention through Educational Data Storytelling. Journal of Learning Analytics, 5(3), 72–97.

  Article  Google Scholar 

• Erickson, T., & Kellogg, W. A. (2000). Social translucence: an approach to designing systems that support social processes. ACM Transactions on Computer-Human Interaction, 7(1), 59–83.

  Article  Google Scholar 

• Fischer, F., Kollar, I., Mandl, H., & Haake, J. M. (2007). Scripting computer-supported collaborative learning: Cognitive, computational and educational perspectives (Vol. 6). New York: Springer.

  Book  Google Scholar 

• Greller, W., & Drachsler, H. (2012). Translating learning into numbers: A generic framework for learning analytics. Educational Technology & Society, 15(3), 42–57.

  Google Scholar 

• Gutiérrez Rojas, I., Crespo García, R. M., & Kloos, C. D. (2012). Enhancing Orchestration of Lab Sessions by Means of Awareness Mechanisms. In A. Ravenscroft, S. Lindstaedt, C. Kloos, & D. Hernández-Leo (Eds.), 21st Century Learning for 21st Century Skills (pp. 113–125). Berlin Heidelberg: Springer.

  Chapter  Google Scholar 

• Gweon, Gahgene, Carolyn P. Rosé, Emil Albright, and Yue Cui. (2007). Evaluating the effect of feedback from a CSCL problem solving environment on learning, interaction, and perceived interdependence. In Proceedings of 8th iternational conference on Computer-Supported Collaborative Learning, (pp. 234–243). ISLS.

• Hämäläinen, R., & Arvaja, M. (2009). Scripted collaboration and group-based variations in a Higher Education CSCL context. Scandinavian Journal of Educational Research, 53(1), 1–16.

  Article  Google Scholar 

• Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81–112.

  Article  Google Scholar 

• Hernández-Leo, D., Martinez-Maldonado, R., Pardo, A., Muñoz-Cristóbal, J. A., & Rodríguez-Triana, M. J. (2019). Analytics for learning design: A layered framework and tools. British Journal of Educational Technology, 50(1), 139–152.

  Article  Google Scholar 

• Higgins, S., Mercier, E., Burd, E., & Hatch, A. (2011). Multi-touch tables and the relationship with collaborative classroom pedagogies: A synthetic review. International Journal of Computer-Supported Collaborative Learning, 6(4), 515–538.

  Article  Google Scholar 

• Holstein, Kenneth, Bruce M. McLaren, and Aleven, V. (2018). The Classrooom as a Dashboard: Co-designing Wearable Cognitive Augmentation for K-12 Teachers. In Proceedings of International Learning Analytics and Knowledge Conference, LAK'18, (pp. 79–88). ACM.

• Kaendler, C., Wiedmann, M., Rummel, N., & Spada, H. (2015). Teacher Competencies for the Implementation of Collaborative Learning in the Classroom: a Framework and Research Review. Educational Psychology Review, 27(3), 505–536.

  Article  Google Scholar 

• Kamin, S., Capitanu, B., Twidale, M., & Peiper, C. (2009). A teacher’s dashboard for a high school algebra class. In R. H. Reed, D. A. Berque, & J. C. Prey (Eds.), The impact of tablet PCs and pen-based technology on education: Evidence and outcomes (pp. 63–72). West Lafayette: Purdue University Press.

  Google Scholar 

• Kirschner, P. A. (2002). Can we support CSCL? Educational, social and technological affordances for learning.

• Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Hoboken: John Wiley & Sons.

  Book  Google Scholar 

• Kreitmayer, Stefan, Yvonne Rogers, Robin Laney, and Stephen Peake. (2013). UniPad: orchestrating collaborative activities through shared tablets and an integrated wall display. In Proceedings of 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP 2013), (pp. 801–810). ACM.

• Liu, A. L., & Nesbit, J. C. (2019). Dashboards for Computer-Supported Collaborative Learning. In M. Virvou, E. Alepis, G. A. Tsihrintzis, & L. C. Jain (Eds.), Machine Learning Paradigms: Advances in Learning Analytics (pp. 157–182). Cham: Springer International Publishing.

  Google Scholar 

• Liu, A. L., & Nesbit, J. C. (2020). Dashboards for Computer-Supported Collaborative Learning. In M. Virvou, E. Alepis, G. A. Tsihrintzis, & L. C. Jain (Eds.), Machine Learning Paradigms: Advances in Learning Analytics (pp. 157–182). Cham: Springer International Publishing.

  Chapter  Google Scholar 

• Loibl, K., & Rummel, N. (2014). The impact of guidance during problem-solving prior to instruction on students’ inventions and learning outcomes. Instructional Science, 42(3), 305–326.

  Article  Google Scholar 

• Looi, C.-K., & Song, Y. (2013). Orchestration in a networked classroom: Where the teacher's real-time enactment matters. Computers & Education, 69, 510–513.

  Article  Google Scholar 

• Ludvigsen, S., Cress, U., Law, N., Rosé, C. P., & Stahl, G. (2016). Collaboration scripts and scaffolding. International Journal of Computer-Supported Collaborative Learning, 11(4), 381–385.

  Article  Google Scholar 

• Mangaroska, K., & Giannakos, M. N. (2018). Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning. IEEE Transactions on Learning Technologies, (in press), 1–19.

• Martinez-Maldonado, R., Clayphan, A., & Kay, J. (2015a). Deploying and Visualising Teacher’s Scripts of Small Group Activities in a Multi-Surface Classroom Ecology: a study in-the-wild. Computer Supported Cooperative Work, 24(2), 177–221.

  Article  Google Scholar 

• Martinez-Maldonado, R., Clayphan, A., Yacef, K., & Kay, J. (2015b). MTFeedback: providing notifications to enhance teacher awareness of small group work in the classroom. IEEE Transactions on Learning Technologies, 8(2), 187–200.

  Article  Google Scholar 

• Martinez-Maldonado, Roberto, Yannis Dimitriadis, Judy Kay, Kalina Yacef, and Marie-Theresa Edbauer. (2013). MTClassroom and MTDashboard: supporting analysis of teacher attention in an orchestrated multi-tabletop classroom. In Proceedings of International Conference on Computer Supported Collaborative Learning (CSCL2013), (pp. 119–128). ISLS.

• Martinez-Maldonado, Roberto, Judy Kay, and Kalina Yacef. (2011a). Visualisations for longitudinal participation, contribution and progress of a collaborative task at the tabletop. In Proceedings of International Conference on Computer Supported Learning, CSCL'11, (pp. 25–32). ISLS.

• Martinez-Maldonado, R., Schneider, B., Charleer, S., Shum, S. B., Klerkx, J., & Duval, E. (2016). Interactive Surfaces and Learning Analytics: Data, Orchestration Aspects, Pedagogical Uses and Challenges. In Proceedings of Sixth International Conference on Learning Analytics and Knowledge (pp. 124–133 ). ACM.

• Martinez-Maldonado, Roberto, Kalina Yacef, Judy Kay, Ahmed Kharrufa, and Ammar Al-Qaraghuli. (2011b). Analysing frequent sequential patterns of collaborative learning activity around an interactive tabletop. In Proceedings of International Conference on Educational Data Mining 2011 (EDM 2011), (pp. 111–120).

• Martinez-Maldonado, R, Yacef, K., Kay, J., & Schwendimann, B. (2012). An interactive teacher’s dashboard for monitoring multiple groups in a multi-tabletop learning environment. In Proceedings of International Conference on Intelligent Tutoring Systems 2012 (ITS 2012), (pp. 482–492). Springer.

• Mercier, E. (2016). Teacher orchestration and student learning during mathematics activities in a smart classroom. International Journal of Smart Technology and Learning, 1(1), 33–52.

  Article  Google Scholar 

• Molenaar, I., & Carolien Knoop-van Campen. (2017). Teacher dashboards in practice: Usage and impact. In Proceedings of European Conference on Technology Enhanced Learning, (pp. 125–138). Springer.

• Munoz-Cristobal, J. A., Jorrin-Abellan, I. M., Asensio-Perez, J. I., Martinez-Mones, A., Prieto, L. P., & Dimitriadis, Y. (2015). Supporting teacher orchestration in ubiquitous learning environments: a study in primary education. IEEE Transactions on Learning Technologies, 8(1), 83–97.

  Article  Google Scholar 

• Muñoz-Cristóbal, J. A., Prieto, L. P., Asensio-Pérez, J. I., Martínez-Monés, A., Jorrín-Abellán, I. M., & Dimitriadis, Y. (2014). Deploying learning designs across physical and web spaces: Making pervasive learning affordable for teachers. Pervasive and Mobile Computing, 14, 31–46.

  Article  Google Scholar 

• Ni, A. Y. (2013). Comparing the effectiveness of classroom and online learning: Teaching research methods. Journal of Public Affairs Education, 19(2), 199–215.

  Article  Google Scholar 

• Nicolopoulou, A., & Cole, M. (1996). Generation and transmission of shared knowledge in the culture of collaborative learning: The Fifth Dimension, its play-world and its institutional contexts. In E. Forman, N. Minnick, & C. A. Stone (Eds.), Contexts for learning: Sociocultural dynamics in children's development (pp. 283–314). New York: Oxford University.

  Google Scholar 

• Noel, R., Riquelme, F., Lean, R. M., Merino, E., Cechinel, C., Barcelos, T. S., Villarroel, R., & Munoz, R. (2018). Exploring Collaborative Writing of User Stories With Multimodal Learning Analytics: A Case Study on a Software Engineering Course. IEEE Access, 6, 67783–67798.

  Article  Google Scholar 

• Noguera, I., Guerrero-Roldán, A.-E., & Masó, R. (2018). Collaborative agile learning in online environments: Strategies for improving team regulation and project management. Computers in Education, 116, 110–129.

  Article  Google Scholar 

• O’Donnell, A. M., & Hmelo-Silver, C. E. (2013). Introduction: What is collaborative learning? An overview. In C. E. Hmelo-Silver, C. A. Chinn, C. Chan, & A. M. O'Donnell (Eds.), The International Handbook of Collaborative Learning (pp. 1–15). New York: Routledge.

  Google Scholar 

• Olsen, J. (2017). Orchestrating Combined Collaborative and Individual Learning in the Classroom. Doctoral dissertation. Carnegie Mellon University, Pittsburgh, Pennsylvania: Human-Computer Interaction Institute.

• Peiper, C. E. (2008). A teacher's dashboard: Monitoring students in Tablet PC classroom settings. Doctoral dissertation. University of Illinois Urbana-Champaign.

• Phiri, L., Meinel, C., & Suleman, H. (2016). Streamlined orchestration: An orchestration workbench framework for effective teaching. Computers & Education, 95, 231–238.

  Article  Google Scholar 

• Prieto, L. P., Dimitriadis, Y., Asensio-Pérez, J. I., & Looi, C.-K. (2015a). Orchestration in learning technology research: evaluation of a conceptual framework. Research in Learning Technology, 23, 1–15.

  Article  Google Scholar 

• Prieto, L. P, Dimitriadis, Y, Harrer, A, Milrad, M., Nussbaum, M, & Slotta, J. D. (2015b). The orchestrated collaborative classroom: Designing and making sense of heterogeneous ecologies of teaching and learning resources. In Proceedings of International Conference on Computer Supported Collaborative Learning (pp. 880–884). International Society of the Learning Sciences.

• Prieto, L. P., Triana, M. J. R., Maldonado, R. M., Dimitriadis, Y. A., & Gašević, D. (2018). Orchestrating learning analytics (OrLA): Supporting inter-stakeholder communication about adoption of learning analytics at the classroom level. Australasian Journal of Educational Technology, 35(4), 14–33.

  Google Scholar 

• Prieto, L. P., Sharma, K., Kidzinski, L., & Dillenbourg, P. (2017). Orchestration Load Indicators and Patterns: In-the-wild Studies Using Mobile Eye-tracking. IEEE Transactions on Learning Technologies, 11(2), 1–1.

  Google Scholar 

• Prieto, L. P., Sharma, K., & Dillenbourg, P. (2015c). Studying Teacher Orchestration Load in Technology-Enhanced Classrooms. In G. Conole, T. Klobučar, C. Rensing, J. Konert, & É. Lavoué (Eds.), Design for Teaching and Learning in a Networked World (pp. 268–281). International Publishing: Springer.

  Chapter  Google Scholar 

• Prinsen, F., Volman, M. L. L., & Terwel, J. (2007). The influence of learner characteristics on degree and type of participation in a CSCL environment. British Journal of Educational Technology, 38(6), 1037–1055.

  Article  Google Scholar 

• Rodríguez-Triana, M. J., Prieto, L. P., Martínez-Monés, A., Asensio-Pérez, J. I., & Dimitriadis, Y. (2018). Monitoring Collaborative Learning Activities: Exploring the Differential Value of Collaborative Flow Patterns for Learning Analytics. In Proceedings of 2018 IEEE 18th International Conference on Advanced Learning Technologies, ICALT'18, (pp. 155–159). IEEE.

• Rodríguez Triana, Jesús, M., Monés, A. M., Asensio Pérez, J. I., & Dimitriadis, Y. (2014). Scripting and monitoring meet each other: Aligning learning analytics and learning design to support teachers in orchestrating CSCL situations. British Journal of Educational Technology, 46(2), 330–343.

• Scheffel, M., Drachsler, H., Stoyanov, S., & Specht, M. (2014). Quality indicators for learning analytics. Journal of Educational Technology & Society, 17(4), 117.

  Google Scholar 

• Schell, J., Lukoff, B., & Mazur, E. (2013). Catalyzing learner engagement using cutting-edge classroom response systems in higher education. Cutting-edge Technologies in Higher Education, E(6), 233–261.

  Article  Google Scholar 

• Schwendimann, B. A., Rodriguez-Triana, M. J., Vozniuk, A., Prieto, L. P., Boroujeni, M. S., Holzer, A., Gillet, D., & Dillenbourg, P. (2017). Perceiving learning at a glance: A systematic literature review of learning dashboard research. IEEE Transactions on Learning Technologies, 10(1), 30–41.

  Article  Google Scholar 

• Sirbu, Maria-Dorinela, Mihai Dascalu, Scott A Crossley, Danielle S McNamara, and Stefan Trausan-Matu. (2019). Longitudinal Analysis and Visualization of Participation in Online Courses Powered by Cohesion Network Analysis. In Proceedings of International Conference on Computer-Supported Collaborative Learning, (pp. 640–643).

• Slade, S., & Prinsloo, P. (2013). Learning Analytics: Ethical Issues and Dilemmas. American Behavioral Scientist, 57(10), 1510–1529.

  Article  Google Scholar 

• Soller, A., Martinez, A., Jermann, P., & Muehlenbrock, M. (2005). From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning. International Journal of Artificial Intelligence in Education, 15(4), 261–290.

  Google Scholar 

• Sottilare, R. A., Shawn Burke, C., Salas, E., Sinatra, A. M., Johnston, J. H., & Gilbert, S. B. (2018). Designing adaptive instruction for teams: A meta-analysis. International Journal of Artificial Intelligence in Education, 28(2), 225–264.

  Article  Google Scholar 

• Spence, R. (2001). Information visualization (Vol. 1). New York: Addison-Wesley.

  Google Scholar 

• Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning: An historical perspective. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 409–426). Oxford, UK: Cambridge University Press.

  Google Scholar 

• Stahl, Gerry. (2002). Rediscovering cscl. Paper presented at the CSCL, (pp. 169-181).

• Stahl, G. (2015). A decade of CSCL. International Journal of Computer-Supported Collaborative Learning, 10(4), 337–344.

  Article  Google Scholar 

• Stahl, G. (2017). Global introduction to CSCL. Philadelphia: Lulu.

  Google Scholar 

• Stodel, E. J., Thompson, T. L., & MacDonald, C. J. (2006). Learners' perspectives on what is missing from online learning: Interpretations through the community of inquiry framework. The International Review of Research in Open and Distributed Learning, 7(3).

• Tchounikine, P. (2013). Clarifying design for orchestration: orchestration and orchestrable technology, scripting and conducting. Computers & Education, 69, 500–503.

  Article  Google Scholar 

• Tchounikine, P. (2019). Learners’ agency and CSCL technologies: towards an emancipatory perspective. International Journal of Computer-Supported Collaborative Learning, 14(2), 237–250.

  Article  Google Scholar 

• Teasley, S. D. (2017). Student Facing Dashboards: One Size Fits All? Technology. Knowledge and Learning, 22(3), 377–384.

  Article  Google Scholar 

• Tissenbaum, Mike, Camillia Matuk, Matthew Berland, Felipe Cocco, Marcia Linn, CREATE Nik Hajny, CREATE Al Olsen, Beat Schwendimann, Mina Shirvani Boroujeni, and Jonathan Vitale. (2016). Real-time visualization of student activities to support classroom orchestration. In Proceedings of 12th International Conference of the Learning Sciences, (pp. 1120–1127). ISLSs.

• Treisman, A. (1985). Preattentive processing in vision. Computer vision, graphics, and image processing, 31(2), 156–177.

  Article  Google Scholar 

• van Leeuwen, A. (2015). Learning analytics to support teachers during synchronous CSCL: Balancing between overview and overload. Journal of learning Analytics, 2(2), 138–162.

  Article  Google Scholar 

• Van Leeuwen, Anouschka, J. J., Erkens, G., & Brekelmans, M. (2014). Supporting teachers in guiding collaborating students: Effects of learning analytics in CSCL. Computers in Education, 79, 28–39.

• van Leeuwen, A., Janssen, J., Erkens, G., & Brekelmans, M. (2015). Teacher regulation of multiple computer-supported collaborating groups. Computers in Human Behavior, 52, 233–242.

  Article  Google Scholar 

• van Leeuwen, A., Rummel, N., & van Gog, T. (2019). What information should CSCL teacher dashboards provide to help teachers interpret CSCL situations? International Journal of Computer-Supported Collaborative Learning, (in press), 1–29.

• VanLehn, Kurt, Salman Cheema, Jon Wetzel, and Daniel Pead. (2016). Some less obvious features of classroom orchestration systems Educational Technologies: Challenges, Applications and Learning Outcomes, (pp. 73–94). Nova Science Publishers, Inc.

• Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2013). Learning Analytics Dashboard Applications. American Behavioral Scientist, 57(10), 1500–1509.

  Article  Google Scholar 

• Walton, Jamiahus, Michael C Dorneich, Stephen Gilbert, Desmond Bonner, Eliot Winer, and Colin Ray. (2014). Modality and timing of team feedback: Implications for GIFT. Paper presented at the 2nd Annual GIFT Users Symposium, (pp. 199–207).

• Wang, Patrick, Pierre Tchounikine, and Matthieu Quignard. (2015). A Model to Support Monitoring for Classroom Orchestration in a Tablet-Based CSCL Activity. In Proceedings of 10th European Conference on Technology Enhanced Learning, (pp. 491–496). Springer.

• Wise, A., Knight, S., & Shum, S. B. (2020). Collaborative Learning Analytics. In U. Cress, C. Rosé, A. Wise, & J. Oshima (Eds.), International Handbook of Computer-Supported Collaborative Learning, (pp. in press. London: Springer.

• Wise, A. F., & Schwarz, B. B. (2017). Visions of CSCL: eight provocations for the future of the field. International Journal of Computer-Supported Collaborative Learning, 12(4), 423–467.

  Article  Google Scholar 

• Xing, Wanli, Bob Wadholm, and Sean Goggins. (2014). Learning analytics in CSCL with a focus on assessment: an exploratory study of activity theory-informed cluster analysis. In Proceedings of International Conference on Learning Analytics and Knowledge, LAK'14, (pp. 59–67). ACM.

• Yi, Ji Soo, Youn-ah Kang, John T. Stasko, and Julie A. Jacko. (2008). Understanding and characterizing insights: how do people gain insights using information visualization? In Proceedings of 2008 Workshop on Beyond time and errors: novel evaLuation methods for Information Visualization, (pp. 1–6). ACM.

• Yoo, Yesom, Hyeyun Lee, Il-Hyun Jo, and Yeonjeong Park. (2015). Educational Dashboards for Smart Learning: Review of Case Studies. In Proceedings of Emerging Issues in Smart Learning, (pp. 145–155). Springer.

• Zurita, G., & Nussbaum, M. (2004). Computer supported collaborative learning using wirelessly interconnected handheld computers. Computers & Education, 42(3), 289–314.

  Article  Google Scholar 

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