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| Learning Analytics and Knowledge Conference | |
|---|---|
| Name | Learning Analytics and Knowledge Conference |
| Abbreviation | LAK |
| Discipline | Learning analytics |
| First | 2011 |
| Frequency | Annual |
Learning Analytics and Knowledge Conference The Learning Analytics and Knowledge Conference is an annual scholarly meeting focused on online learning innovations, educational data mining, and learning sciences research. It convenes researchers, practitioners, and policymakers from institutions such as Harvard University, Stanford University, Massachusetts Institute of Technology, University of Edinburgh, and Open University to present empirical studies, methodological advances, and systems engineering projects. The conference fosters collaboration among communities represented by organizations like Society for Learning Analytics Research, IEEE, ACM, EDUCAUSE, and Sloan Consortium.
The conference showcases work at the intersection of Carnegie Mellon University-style learning engineering, University of Pennsylvania cognitive modeling, University of Melbourne data science, University of Oxford assessment design, and University of California, Berkeley analytics infrastructure. Attendees include scholars from University of Toronto, University College London, University of British Columbia, Monash University, and University of Sydney, as well as industry partners such as Google, Microsoft Research, Amazon Web Services, IBM Research, and Pearson. Sessions cover topics relevant to practitioners from California State University, Khan Academy, edX, Coursera, and Udacity.
The conference emerged in the 2010s alongside initiatives at MIT's HASTAC-affiliated projects, Stanford Graduate School of Education efforts, and the Open University's learning analytics pilots. Early editions featured work from teams at University of Maryland, University of Michigan, Rutgers University, New York University, and Columbia University. Over time it incorporated standards discussions involving IMS Global Learning Consortium, policy dialogues with actors from OECD, European Commission, and UNESCO, and collaborations with research centers like Learning Research and Development Center and Research Institute for Learning and Teaching.
Typical programming includes keynote addresses by leaders from National Science Foundation, Wellcome Trust, Bill & Melinda Gates Foundation, and Alfred P. Sloan Foundation; paper sessions featuring work from University of Illinois Urbana-Champaign, Purdue University, Georgia Institute of Technology, Arizona State University, and Duke University; workshops organized by Association for Computational Linguistics, American Educational Research Association, and European Association for Learning and Instruction; and tutorials from teams at Microsoft Research New England, Facebook AI Research, and DeepMind. Poster sessions frequently feature researchers from University of Amsterdam, Leiden University, ETH Zurich, Technical University of Munich, and EPFL.
Research spans areas championed by groups at Utrecht University, KU Leuven, Trinity College Dublin, King's College London, and University of Copenhagen: predictive modeling, learning dashboards, adaptive learning systems, and ethical analytics. Work often cites theoretical frameworks from Jean Piaget-influenced cognitive development studies, Lev Vygotsky-inspired social constructivism, and computational methods refined at Alan Turing Institute. Applied impact is seen in implementations at Ministry of Education, Singapore, New York City Department of Education, Department for Education (England), and initiatives by Bill & Melinda Gates Foundation grantees.
Awarded papers have come from teams at Carnegie Mellon University (notably Pittsburgh research labs), University of Edinburgh's learning analytics group, University of Nottingham's digital education researchers, University of Southampton's semantic web teams, and Imperial College London's data science labs. Prestigious recognitions include best paper awards often sponsored by ACM SIGCHI, IEEE Learning Technology Task Force, and foundations such as MacArthur Foundation. Landmark articles have influenced practice at K-12 systems in districts like Los Angeles Unified School District, Chicago Public Schools, and New York City Department of Education.
Organization has involved consortia and centers including Society for Learning Analytics Research, Jisc, FutureLearn, Open Learning Initiative, Digital Promise, and university hubs at University of Texas at Austin, University of Florida, University of Washington, University of Arizona, and University of California, Los Angeles. Conference program committees frequently draw members from ACM, IEEE, AAAI, AERA, and international networks like European Association for Online Learning.
The community comprises academics from Boston University, Northeastern University, Rice University, University of Notre Dame, and Vanderbilt University; practitioners from IMS Global, SIIA, ISTE, SMART Technologies, and Blackboard Inc.; and policy stakeholders from UNICEF, World Bank, and European Commission. Regional hubs include contributors from Asia-Pacific University, African Virtual University, Latin American Educational Technology Network, and national labs such as Sandia National Laboratories and Lawrence Berkeley National Laboratory.
Critiques addressed at the conference mirror debates in forums involving Electronic Frontier Foundation, Privacy International, American Civil Liberties Union, Data & Society Research Institute, and Center for Democracy & Technology regarding student data privacy, algorithmic bias, and informed consent. Future agendas emphasize interdisciplinary work linking Neuroscience Research Centers, Human-Computer Interaction labs at University of Glasgow, partnerships with public health institutions, and standards coordination with ISO and W3C to guide ethical, scalable deployments.
Category:Conferences