ABSTRACT
Scaled learning requires a novel set of practices on the part of professionals developing and delivering systems of scaled learning. IEEE's Industry Connections Industry Consortium for Learning Engineering (ICICLE) defines learning engineering as "a process and practice that applies the learning sciences, using human-centered engineering design methodologies, and data-informed decision-making to support learners and their development." This event will bring together learning engineering experts and other interested conference participants to further define the discipline and strategies to establish learning engineering at scale. It will also serve as a gathering place for attendees with shared interests in learning engineering to build community around the advancement of learning engineering as a professional practice and academic field of study.
Interdisciplinary research in the learning, computer and data sciences fields continue to discover techniques for developing increasingly effective technology-mediated learning solutions. However, these applied sciences discoveries have been slow to translate into wide-scale practice. This workshop will bring together conference participants to give input into models for scaling the profession of learning engineering and wide-scale use of learning engineering process and practice models.
- Aleven, V., Sewell, J., Popescu, O., Sottilare, R., Long, R., & Baker, R. (2018, June). Towards Adapting to Learners at Scale: Integrating MOOC and Intelligent Tutoring Frameworks. In Proceedings of the Learning @ Scale Conference, London, England, June 26--28, 2018.Google Scholar
- Glowa, L. and Goodell, J. (2016) Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning Vienna, VA.: International Association for K-12 Online Learning (iNACOL).Google Scholar
- Goodell, J., Kessler, A., Kurzweil, D., Kolodner, J., (2020). Competencies of Learning Engineering Teams and Team Members. IEEE ICICLE 2019 Conference on Learning Engineering.Google Scholar
- IEEE IC Industry Consortium on Learning Engineering (IEEE ICICLE). http:// https://www.ieeeicicle.org/.Google Scholar
- Sottilare, R., Long, R., & Goldberg, B. (2017, April). Enhancing the Experience Application Program Interface (xAPI) to Improve Domain Competency Modeling for Adaptive Instruction. In Proceedings of the Learning @ Scale Conference, Cambridge, Massachusetts, April 20-21, 2017. DOI: http://dx.doi.org/10.1145/3051457.3054001.Google Scholar
- Sottilare, R. & Brawner, K. (2018, June). Component Interaction within the Generalized Intelligent Framework for Tutoring (GIFT) as a Model for Adaptive Instructional System Standards. In the Adaptive Instructional System (AIS) Standards Workshop of the 14th International Conference of the Intelligent Tutoring Systems (ITS) Conference, Montreal, Quebec, Canada, June 2018.Google Scholar
- Sottilare, R. (2018, July). Community Models to Enhance Adaptive Instruction. In Foundations of Augmented Cognition (pp. 78--88). Springer International Publishing. DOI: 10.1007/978-3-319-91470-1_8.Google ScholarDigital Library
- Sottilare, R. (2018). A Comprehensive Review of Design Goals and Emerging Solutions for Adaptive Instructional Systems. Technology, Instruction, Cognition, & Learning (TICL) Journal. Vol. 11, pp. 5--38. Old City Publishing, Philadelphia.Google Scholar
- Sottilare, R.A., Graesser, A.C., Lester, J., & Baker, R. (2017). Preface - Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research. International Journal of Artificial Intelligence in Education. DOI: 10.1007/s40593-017-0149-9.Google Scholar
- Sottilare, R.A., Burke, C.S., Salas, E., Sinatra, A.M., Johnston, J.H. & Gilbert, S.B. (2017). Designing Adaptive Instruction for Teams: A Meta-Analysis. International Journal of Artificial Intelligence in Education. DOI: 10.1007/s40593-017-0146z.Google Scholar
- Folsom-Kovarik, J., Mostafavi, B., Sottilare, R., Davidson, I., Perez, R., & Walker, P. (2019). Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems. In Proceedings of the 27th IEEE Conference on Software, Telecommunications, and Computer Networks. September 2019. Split, Croatia.Google ScholarCross Ref
- Sottilare, R., Hoehn, R., & Tanaka, A. (2019) Adapting Existing Simulation Architectures to Enhance Tailored Instruction. In Proceedings of the Interservice/Industry Training Simulation & Education Conference, Orlando, Florida, December 2019.Google Scholar
- Sottilare, R. (2019, July). Exploring Methods to Promote Interoperability in Adaptive Instructional Systems. In: Sottilare R., Schwarz J. (eds) Adaptive Instructional Systems. HCII 2019. Lecture Notes in Computer Science, vol 11597. Springer, ChamGoogle Scholar
- Bell B. & Sottilare R. (2019) Adaptation Vectors for Instructional Agents. In: Sottilare R., Schwarz J. (eds) Adaptive Instructional Systems. HCII 2019. Lecture Notes in Computer Science, vol 11597. Springer, ChamGoogle Scholar
- Sottilare, R., Stensrud, B. & Hampton, A. (2019, July). Examining Elements of an Adaptive Instructional System (AIS) Conceptual Model. In: Sottilare R., Schwarz J. (eds) Adaptive Instructional Systems. HCII 2019. Lecture Notes in Computer Science, vol 11597. Springer, Cham.Google Scholar
Index Terms
- Learning Engineering @ Scale
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