DEC Scan Journal : Volume 36 Issue 1
2017 Volume 36, Issue 1 41 Contents Editorial Learning & teaching Research Share this Resource reviews Acknowledgements The authors wish to acknowledge the contribution of Dr Matt Bower, School of Education, Macquarie University to this article. Discussions between Dr Bower and the authors strongly informed this article. References Anderson, L. W. & Krathwohl, D. R. 2001, A taxonomy for learning, teaching, and assessing: a revision of bloom’s taxonomy of educational objectives, Allyn & Bacon, Boston. Bers, M. U. 2010, ‘The TangibleK Robotics Program: Applied computational thinking for young children’, Early Childhood Research and Practice, vol. 12, no. 2, Article 2. Biggs, J. B. 1995, ‘Assessing for learning: some dimensions underlying new approaches to educational assessment’, The Alberta Journal of Educational Research, vol. 41, no. 1, pp.1-17. Biggs, J. B., & Collis, K. F. 1982, Evaluating the quality of learning - the SOLO taxonomy, Academic Press, New York. Biggs, J. B., & Collis, K. F. 1991, ‘Multimodal learning and the quality of intelligent behaviour’, In H. Rowe (ed.), Intelligence: reconceptualization and measurement, Lawrence Erlbaum, Hillsdale, NJ. Bloom, B. S., & Krathwohl, D. R. 1956, Taxonomy of educational objectives: the classification of educational goals, Longmans, New York. Brennan, K., & Resnick, M. 2012, New frameworks for studying and assessing the development of computational thinking. Paper presented at the Annual Meeting of the American Educational Research Association, Vancouver, BC. Brown, W. 2013, Introduction to algorithmic thinking, accessed 31 January, 2017. Dodd, T. 2014, ‘Teach our young coding and we all reap the benefits’, Australian Financial Review, 30 June, p. 34. Foo, F. 2014, ‘Christopher Pyne urged to act on coding in classrooms’, The Australian, 9 December, accessed 31 January 2017. Kuhlthau, C. C. 2010, ‘Guided inquiry: school libraries in the 21st century’, School Libraries Worldwide, vol. 16, no. 1, pp.17-28. Lipman, M, 2003. Thinking in education (2nd edn), Cambridge University Press, New York. McDougall, B. 2015, ‘Cracking code of our digital future: kids embrace 21st century skills’, Daily Telegraph, 19 October, p. 1. NSW Department of Education and Training, 2003, Quality teaching in NSW public schools: discussion paper, Sydney NSW. Papert, S. 1980, Mindstorms: children, computers, and powerful ideas, Basic Books, New York. Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B. & Kafai, Y. 2009, ‘Scratch: programming for all’, Communications of the ACM, vol. 52, no. 11, pp.60-67. Selby, C. C., & Woollard, J, 2014. Computational thinking: the developing definition. Paper presented at the SIGCSE, Atlanta, GA. Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. 2013, ‘Integrating computational thinking with K-12 science education using agent-based computation: a theoretical framework’, Education and Information Technologies, vol. 18, no. 2, pp.351-380. Shiffman, A. 2015, ‘Time to teach kids a new language: code’, Australian Financial Review, 10 March, p. 25. Stevens, R. 2012, ‘Identifying 21st century capabilities’, International Journal of Learning and Change, vol. 6, no. 3, pp.123-137. Wing, J. M. 2006, ‘Computational thinking’, Communications of the ACM, vol. 49, no. 3, pp.33-35. Wing, J. M. 2008, ‘Computational thinking and thinking about computing’, Philos Trans A Math Phys Eng Sci, vol. 366, no. 1881, pp.3717-3725. Wing, J. M. 2011, ‘Research notebook: computational thinking - what And why?’, The Link, Spring, accessed 31 January 2017.
Volume 35 Issue 4
Volume 36 Issue 2