Carmel Kent @carmel_kent
kent.carmel at gmail.com

Areas of interest: Self-Directed Learning, AI in education, Computational social science, Learning analytics, Online learning communities, interactivity in online communities, collaborative learning technologies

Email: kent.carmel at gmail.com

Peer-reviewed journals:

Kent, C., Landau, G. M., & Ziv-Ukelson, M. (2006). On the complexity of sparse exon assembly. Journal of Computational Biology, 13(5), 1013-1027.

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.

Rafaeli, S., & Kent, C. (2015). Network-structured discussions for collaborative concept mapping and peer learning. IBM Journal of Research and Development, 59(6), 7-1.

Kent, C., Laslo, E., & Rafaeli, S. (2016). Interactivity in online discussions and learning outcomes. Computers & Education, 97, 116-128.

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
Chandler K, Aristeidou M, Ball S, Charitonos K, Kent C, Perryman L & Rets I (2024). Collaboration and care in climate education: Brave responses to an uncertain future. The Curiculum Journal, Open Access, https://doi.org/10.1002/curj.296.

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.

Kent, C., & Rafaeli, S. (2016, January). How interactive is a semantic network? Concept maps and discourse in knowledge communities. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 2095-2104). IEEE.

Kent, C., Rechavi, A., & Rafaeli S., (2016). Topological Indicators of Networked Learning. In The Internet, Politics, and Policy Conference, Oxford Internet Institute, UK.

Kent, C., Boulton, C.A. & Williams, H. (2017). Towards Measurement of the Relationship between Student Engagement and Learning Outcomes at a Bricks-and-Mortar University. Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop
co-located with 7th International Learning Analytics and Knowledge Conference
(LAK 2017), Canada.

Weiser, O., Kalman, Y.M., Kent, C & Ravid, G., (2018). A Delphi Study of Competencies and Skills for Data Analytics (WIP). In ISECON 2018, San Antonio, Texas, USA.

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.

Kent, C., Chaudhry, M. A., Cukurova, M., Bashir, I., Pickard, H., Jenkins, C., Du Boulay, B., and Luckin, R. (2021). Machine learning models and their development process as learning affordances for humans. In International Conference on Artificial Intelligence in Education (pp. 228-240). Springer, Cham.

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

Non-academic writing & talks

· Revolutionary education: applying the diagnostics of Medicine 2.0

· A national lesson in data modelling and analytics

· Supporting Teachers with AI

· The Big Blind: staring down AI

· Can machines learn
· Is AI intelligent
· Back down the time-tunnel: Forgetting the lessons of Covid
· Why the AlphaGo story made me scared of (the people behind) AI
· Why excluding parents & carers from their children's education is wrong (talk at the Rethinking Education conference 2022)