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Boulanger, D., Seanosky, J., Kumar, V., Kinshuk, Panneerselvam, K., & Somasundaram, T. S. (2015). Smart learning analytics. In G. Chen, V. Kumar, R. H. Kinshuk, & S. C. Kong (Eds.), (pp. 289–296). Emerging issues in smart learning, The International Conference on Smart Learning Environment 2014. Springer Berlin Heidelberg.
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Boulanger, D., Seanosky, J., Kumar, V., Kinshuk, Panneerselvam, K., & Somasundaram, T. S. (2015). Smart learning analytics. In G. Chen, V. Kumar, R. H. Kinshuk, & S. C. Kong (Eds.), (pp. 289–296). Emerging issues in smart learning, The International Conference on Smart Learning Environment 2014. Springer Berlin Heidelberg.
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Reiners, T., Wood, L., & Dron, J. (2014). From chaos towards sense: A Learner-centric Narrative Virtual Learning Space. In J. Bishop (Ed.), From chaos towards sense: A Learner-centric Narrative Virtual Learning Space (Vol. Gamification for Human Factors Integration: Social, pp. 242–258). Hershey, US: Igi.
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Brokenshire, D., Kumar, V., & Shakya, J. (2005). Providing information for mixed initiative interaction via interoperable user modeling. In D. W. Aha, & G. Tecuci (Eds.), (pp. 16–21). Mixed-initiative problem-solving assistants, The American Association of Artificial Intelligence Fal. Menlo Park, California: The AAAI Press.
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Doherty, L., Lougheed, P., Brokenshire, D., Jordanov, M., Rao, S., Shakya, J., et al. (2005). Recognizing opportunities for mixed-initiative interactions in novice programming. In D. W. Aha, & G. Tecuci (Eds.), (pp. 51–56). Mixed Initiative Problem-Solving Assistants, The American Association of Artificial Intelligence Fal. Menlo Park, California: The AAAI Press.
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