Considerations for Developing a Generalized Gradebook for an Open-Source Intelligent Tutoring System Framework

Author:

Sinatra Anne M.

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Goldberg, B.S., Hoffman, M.: Adaptive course flow and sequencing through the engine for management of adaptive pedagogy (EMAP). In: AIED Workshops (2015)

2. Goldberg, B., Brawner, K., Hoffman, M.: The GIFT architecture and features update: 2020 edition. In: Proceedings of the 8th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym8), p. 11. US Army Combat Capabilities Development Command–Soldier Center (2020)

3. Merrill, M. D.: Component display theory. Instr. Des. Theories Models: An overview of their current status 1, 282-333 (1983)

4. Owens, K., et al.: Synthetic training environment experiential learning for readiness (STEEL-R) demonstration. In: Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym10), p. 71 (2022)

5. Sinatra, A.M.: The 2022 instructor’s guide to the generalized intelligent framework for tutoring (GIFT). In: Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym10), p. 21 (2022)

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