CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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67%; open Fortin, FA, De Rainvile, FM, Gardner, MA, Parizeau, M and Gagné, C (2012) Find in CUMINCAD DEAP: Evolutionary Algorithms Made Easy , Journal of Machine Learning Research, 13, pp. 2171-2175

67%; open Graves, A (2012) Find in CUMINCAD Supervised Sequence Labelling with Recurrent Neural Networks , Springer Berlin Heidelberg

67%; open Hattie, J (2012) Find in CUMINCAD Visible Learning for Teachers: Maximizing Impact on Learning , Routledge, London ; New York

67%; open Howe, E. L. C. and Schnabel, M. A. (2012) Find in CUMINCAD The Changing Face of Problem–Based Learning – Social networking and interprofessional collaboration, in S. Bridges, C. McGrath, and T. L. Whitehill (eds.) , Researching Problem based Learning in Clinical Education: The Next Generation, Springer, The Netherlands, 121–138

67%; open Howe, ELC and Schnabel, MA (2012) Find in CUMINCAD The Changing Face of Problem–Based Learning – Social networking and interprofessional collaboration , Researching Problem–based Learning in Clinical Education: The Next Generation, The Netherlands, 121–138

67%; open Hung, P.-H., Hwang, G.-J., Lee, Y.-H., & Su, I-Hsiang. (2012) Find in CUMINCAD A cognitive component analysis approach for developing game-based spatial learning tools , Computers & Education, 59(2), 762-773. https://doi.org/10.1016/j.compedu.2012.03.018

67%; open Hung, P.-H., Hwang, G.-J., Lee, Y.-H., & Su, I-Hsiang. (2012) Find in CUMINCAD A cognitive component analysis approach for developing game-based spatial learning tools , Computers & Education, 59(2), 762–773. https://doi.org/10.1016/j.compedu.2012.03.018

67%; open Hunter, N. (2012) Find in CUMINCAD The art of floral design , Cengage Learning

67%; open Jara-Ettinger, J., Baker, C.L., & Tenenbaum, J.B. (2012) Find in CUMINCAD Learning What is Where from Social Observations , Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 515-520)

67%; open Jara-Ettinger, J., Baker, C.L., & Tenenbaum, J.B. (2012) Find in CUMINCAD Learning What is Where from Social Observations , Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 515-520)

67%; open Juvancic, M, Mullins, M, Zupancic, T (2012) Find in CUMINCAD E-learning in architecture: professional and lifelong learning prospects , Pontes, E et al (eds) E-learning - organizational infrastructure and tools for specific areas, InTech, cop., Rijeka, pp. 180-182

67%; open Kapp, K. M. (2012) Find in CUMINCAD The gamification of learning and instruction: Game-based methods and strategies for training and education , Pfeiffer

67%; open Kapp, Karl M (2012) Find in CUMINCAD The Gamification of Learning and Instruction—Game-Based Methods and Strategies for Training and Education , San Francisco, CA: John Wiley & Sons

67%; open Kapp, Karl M (2012 ) Find in CUMINCAD The Gamification of Learning and Instruction—Game-Based Methods and Strategies for Training and Education , San Francisco, CA: John Wiley & Sons

67%; open Kapp, KM (2012) Find in CUMINCAD The Gamification of Learning and Instruction—Game-Based Methods and Strategies for Training and Education , John Wiley & Sons, San Francisco

67%; open Kapp, KM (2012) Find in CUMINCAD The Gamification of Learning and Instruction-Game-Based Methods and Strategies for Training and Education, , John Wiley & Sons, San Francisco

67%; open Kapp, KM (2012) Find in CUMINCAD The gamification of learning and instruction , Wiley, San Francisco

67%; open Kassimali Aslam (2012) Find in CUMINCAD Matrix Analysis of Structures SI Version , Indenpendence, KY: Cengage Learning

67%; open Lai, C, Wang, Q and Lei, J (2012) Find in CUMINCAD What factors predict undergraduate students' use of technology for learning? A case from Hong Kong , Computers & Education, 59(2), pp. 569-579

67%; open Le, QV, Ranzato, MA, Monga, R, Devin, M, Chen, K, Corrado, GS, Dean, J and Ng, AY (2012) Find in CUMINCAD Building High-Level Features Using Large Scale Unsupervised Learning , Proceedings of the 29th International Conference on International Conference on Machine Learning, USA, pp. 507-514

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