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Carmel Kent
@carmel_kent
kent.carmel at gmail.com
Areas of interest: Computational social science, Learning analytics, Online learning communities, interactivity in online communities, collaborative learning technologies
Email: kent.carmel at gmail.com
Peer-reviewed journals:
Carmeli, B., Casali, P., Goldbraich, A., Goldsteen, A., Kent, C., Licitra, L., et al (2011). Evicase: an evidence-based case structuring approach for personalized healthcare. Studies in health technology and informatics, 180, 604-608.
Slonim, N., Carmeli, B., Goldsteen, A., Keller, O., Kent, C., & Rinott, R. (2012). Knowledge-analytics synergy in clinical decision support. Stud Health Technol Inform, 180, 703-7.
Kent, C., Lewenstein, M., & Sheinwald, D. (2012). On demand string sorting over unbounded alphabets. Theoretical Computer Science, 426, 66-74.
Boulton, C.A., Kent, C. & Williams, H. (2018). Virtual learning environment engagement and learning outcomes at a 'bricks-and-mortar' university. Computers & Education, 126, 129-142.
Kent, C. & Rechavi, A. (2018), Deconstructing Online Social Learning: Network Analysis of the Creation, Consumption and Organization Types of Interaction, International Journal of Research & Method in Education, 1-22. https://www.tandfonline.com/eprint/GYBDMWTIIKC3DIV6IFPK/full?target=10.1080/1743727X.2018.1524867
Kent, C., Rechavi, A., & Rafaeli, S. (2019). The Relationship Between Offline Social Capital and Online Learning Interactions. International Journal of Communication, 13, 26. https://ijoc.org/index.php/ijoc/article/viewFile/10213/2590
Cukurova, M., Kent, C., & Luckin, R. (2019). Artificial Intelligence and Multimodal Data in the Service of Human Decision-making: A Case Study in Debate Tutoring, British Journal of Educational Technology, 50 (6), 3032-3046. https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjet.12829
Cukurova, M., Kent, C., & Luckin, R. (2020). Impact of an AI research frame on the perceived credibility of educational research evidence, International Journal of Artificial Intelligence in Education . https://link.springer.com/article/10.1007/s40593-019-00188-w
Boulton, C., Hughes, E., Kent, C., Smith, J. & Williams, H (2019). Student engagement and wellbeing over time at a higher education institution, PLOS ONE, 14(11).
Kent, C. & Cukurova, M., (2020). Investigating Collaboration as a Process with Theory-driven Learning Analytics, Journal of Learning Analytics, 7(1), 59–71. http://dx.doi.org/10.18608/jla.2020.71.5. https://epress.lib.uts.edu.au/journals/index.php/JLA/article/view/6545
Sher, N., Kent, C. & Rafaeli, S. (2020). How ‘networked’ are online collaborative concept-maps? Introducing metrics for quantifying and comparing the ‘networkedness’ of collaboratively constructed content. Education Sciences, 10(10), 267. https://www.mdpi.com/2227-7102/10/10/267/htm
Weiser, O., Kalman, Y.M., Kent, C & Ravid, G., (2022). 65 Competencies: Which Ones Should Your Data Analytics Experts Have?. Communications of the ACM, 65, 3 (March 2022), 58–66. DOI:https://doi.org/10.1145/3467018
Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3.
Kent C, du Boulay B, Cukurova M. Keeping the Parents outside the School Gate—A Critical Review. Education Sciences. 2022; 12(10):683. https://doi.org/10.3390/educsci12100683
Books:
Kent, C. & du Boulay, B. (2022). AI for Learning. CRC Press, Routeldge, ISBN 9781032039213, https://www.routledge.com/AI-for-Learners/Kent-Boulay/p/book/9781032039213
Book chapters:
Kent, C., Rechavi, A. & Rafaeli, S. (2019). Networked Learning Analytics: A Theoretically Informed Methodology for Analytics of Collaborative Learning In Y.Kali, A. Baram-Tsabary, A., Schejter (Eds.), Learning in a networked society: Spontaneous and designed technology enhanced learning communities. Springer.
Cukurova, M., Kent, C., & Akanji, A. (2021, August 25). Identifying tertiary level educators' needs and understanding of the collaboration process analytics. https://doi.org/10.35542/osf.io/2d3ty
Kent, C., Akanji, A., du Boulay, B., Bashir, I., Fikes, T., Rodríguez De Jesús, S., Ramirez Hall, A., Alvarado, P., Jones, J., Cukurova, M., Sher, V., Blake, C., Fisher, A., Greenwood, J., & Luckin, R. (2022). Mind the Gap. From Typical LMS Traces to Learning to Learn Journeys. In Trajkovski, G., Demeter, M., & Hayes, H. (Eds.). Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan. IGI Global. https://doi.org/10.4018/978-1-7998-9644-9
Peer reviewed, archived conferences:
Bianchi, S., Burla, A., Conti, C., Farkash, A., Kent, C., Maman, Y., & Shabo, A. (2009, June). Semantic warehousing of diverse biomedical information. In International Conference on Next Generation Information Technologies and Systems (pp. 73-85). Springer Berlin Heidelberg.
Sher, N., Rafaeli, S & Kent, C., (2019). Linking as collective thinking? Participant content linking as a means of organizing knowledge meaningfully in online discussions. In Technology, mind and society, Washington, DC, USA.
Sher, N., Rafaeli, S & Kent, C. (2020, January). Creativity is Connecting Things: The Role of Network Topology in Fostering Collective Creativity in Multi-Participant Asynchronous Online Discussions. In 2020 53th Hawaii International Conference on System Sciences (HICSS). IEEE.
Peer reviewed conferences:
Kent, C., Landau, G. M., & Ziv-Ukelson, M. (2005, June). On the complexity of sparse exon assembly. In Annual Symposium on Combinatorial Pattern Matching (pp. 201-218). Springer Berlin Heidelberg.
Kent, C., Lewenstein, M., & Sheinwald, D. (2007, July). On demand string sorting over unbounded alphabets. In Annual Symposium on Combinatorial Pattern Matching (pp. 16-27). Springer Berlin Heidelberg.
Aharoni, E., Altmann, A., Borgulya, G., D'Autilia, R., Incardona, F., Kaiser, R., Kent, C. et al (2007). Integration of viral genomics with clinical data to predict response to anti-HIV treatment. In 1st Africa Conference. Paul Cunningham and Miriam Cunningham.
Bianchi, S., Burla, A., Conti, C., Farkash, A., Kent, C., Maman, Y., & Shabo, A. (2009, September). Biomedical data integration–capturing similarities while preserving disparities. In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 4654-4657). IEEE.
Adadi, R., Burla, A., Farkash, A., Kent, C., Maman, Y., & Shabo, A. (2010). From Biomedical Data Warehouse to Marts: Capturing Disparities while Preserving Similarities, Poster, MedInfo.
Kent, C., Laslo, E., Rafaeli, S., & Baram-Tsabari, A. (2015). Designing network support for online discourse based on ambient group communication studies. A poster In CSCL. Gothenburg, Sweden. Retrieved from https://sites.google.com/a/edtech.haifa.ac.il/ambienttodesigned/study3.
Kent, C., & Rafaeli, S. (2016). How interactive is a semantic network? Concept maps and discourse in knowledge communities. In IsraHCI.
Kent, C. (2016). How can Interactivity and Learning go hand in hand? Should online learning be social?. Poster, In Connected Life, Oxford Internet Institute, UK.
Goldfrad K., Laslo. E. & Kent, C. (2017), The Role of Content Relations in Foreign Language Interactive Learning. In The 15th Annual MEITAL National Conference, University of Haifa.
Weiser, O., Kalman, Y.M., Kent, C. & Ravid, G. (2018, June 18). What Competencies are Needed for Data Analytics? - A Delphi Study. Paper presented at the 12th conference of the Israel Association for Information Systems (ILAIS), Ashdod, Israel
Kent, C., Rechavi, A., & Rafaeli, S. (2019). A theoretically informed methodology for analytics of collaborative learning. A Symposium poster In CSCL. Lyon, France.
Cukurova, M., Kent, C. & Luckin, R. (2019). The value of multimodal data in classification models to interpret social and emotional aspects of tutoring. A post paper in AIED 2019, the 20th International Conference on Artificial Intelligence in Education, Chicago, USA.
Weiser, O., Kalman, Y.M., Kent, C. & Ravid, G. (2019, June 24). Who is a data analyst? academia vs. industry. In The 13th conference of the Israel Association for Information Systems (ILAIS), Tel Aviv, Israel
Kent, C. & Rechavi, A., (2020). Content-Structure Proxies for Remote Interactive Learning, Content Meets Structure - Integrating Different Perspectives on Social Networks (CoMeS, Heidelberg, Germany).
Kent, C., Chaudhry, M. A., Cukurova, M., Bashir, I., Pickard, H., Jenkins, C., Du Boulay, B., and Luckin, R. (2021). On how Unsupervised Machine Learning Can Shape Minds: a Brief Overview. A poster In International Learning Analytics and Knowledge Conference (LAK 2021).
Patents:
Kent C. & Sheinwald D. On Demand sorting of strings, over unbounded alphabet, in an O(nlogn+N) deterministic time", Disclosure IL8-2006-0123.
Rubin Y., Manan Y., Carmeli B., Kent C., Rinott R., & Slonim, N. A method to visualize a personalized treatment possibilities, Disclosure IL8-2010-0158.
"Data entry application with data structuring through real time natural language processing", IL8-2011-0018, Rubin, Y., Kent, C., Carmeli, B., Maman, Y., Rinott R., & Slonim N. A Framework for Evidence Based Case Structuring. Disclosure IL8-2011-0046.
Rubin, Y., Kent, C., Maman, Y., Carmeli, B., Rinott R., & Slonim N. Usage of assigned treatment in Clinical Decision Support systems. Disclosure IL9-2011-0115
Kent C., & Rafaeli, S. A System And Method For Displaying, Connecting And Analyzing Data In An Online Collaborative Webpage. Disclosure US-2014-0344213-A.
Reports:
Educate Ventures research and Cambridge University Press (2021) Shock to the System: Lessons from COVID-19. Available online: https://www.cambridge.org/partnership/research/Shock-to-the-System-lessons-learned-from-COVID19