Download Adaptive and Adaptable Learning: 11th European Conference on by Katrien Verbert, Mike Sharples, Tomaž Klobučar PDF

By Katrien Verbert, Mike Sharples, Tomaž Klobučar

This booklet constitutes the court cases of the eleventh ecu convention on expertise superior studying, EC-TEL 2016, held in Lyon, France, in September 2016.
The 26 complete papers, 23 brief papers, eight demo papers, and 33 poster papers offered during this quantity have been conscientiously reviewed and chosen from 148 submissions.

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Read or Download Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings PDF

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Extra info for Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings

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Res. Policy 41(7), 1262–1282 (2012) 19. : A general framework for analysing diversity in science, technology and society. J. R. Soc. Interface 4(February), 707–719 (2007) 20. com Abstract. In this paper we explore the impact of an inter-classrooms math tournament implemented through internet. The strategy is to increase learning through intra-classroom collaboration generated by inter-classroom competition. Ten fourth grade classes with all their students from eight schools participated. During previous weeks students practiced on-line and played a cloud based board game designed to learn word problems.

86. Overall, the tournament featured 113 weak students and 104 strong students. 63. 56. Note that there is a significant gap between these two means. As shown in Fig. 24 points more than the weak students. 97 SD. 5 SD. This is not only statistically significant, it is a huge gap. Fig. 3. GPA and performance during the tournament by weak and strong students, shown with confidence intervals. 22 R. Araya et al. 65. As shown in Fig. 74. 47. 64 points lower than the mean performance by the strong students.

In: Proceedings of the 19th International Conference on World Wide Web, vol. 15, pp. 891–900 (2010) 5. : How useful is social feedback for learning to rank YouTube videos? World Wide Web 17(5), 997–1025 (2014) 6. , Hall, K. : Improved video categorization from text metadata and user comments. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information – SIGIR 2011, p. 835 (2011) 7. : Deriving group profiles from social media to facilitate the design of simulated environments for learning.

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