2nd International Workshop on Evidence-based Technology by Maria Rosita Cecilia, Tania Di Mascio (auth.), Pierpaolo

2nd International Workshop on Evidence-based Technology by Maria Rosita Cecilia, Tania Di Mascio (auth.), Pierpaolo

By Maria Rosita Cecilia, Tania Di Mascio (auth.), Pierpaolo Vittorini, Rosella Gennari, Ivana Marenzi, Tania Di Mascio, Fernando De la Prieta (eds.)

Research on know-how more suitable studying (TEL) investigates how details and verbal exchange applied sciences will be designed so that it will aid pedagogical actions. The proof dependent layout (EBD) of a process bases its judgements on empirical proof and effectiveness. The evidence-based TEL workshop (ebTEL) brings jointly TEL and EBD.

The first version of ebTEL amassed contributions within the region of TEL from machine technology, man made intelligence, evidence-based medication, academic psychology and pedagogy. just like the earlier variation, this moment variation, ebTEL’13, desires to be a discussion board within which TEL researchers and practitioners alike can speak about leading edge evidence-based rules, initiatives, and classes with regards to TEL.

The workshop came about in Salamanca, Spain, on may perhaps 22nd-24th 2013.

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Extra resources for 2nd International Workshop on Evidence-based Technology Enhanced Learning

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In such a case, the reviewer can: a. select the event “sit” with sentence “Little Hugh and Peter sit at the table” (that does not occur in another WHAT game for the chosen story and is different than the correct solution and the other wrong solution for this game), b. rewrite the sentence as “Victor sits at the table” (this is an event that does NOT happen in the story). Similarly we proceed in temporal/causal games for WRONG events so as to make them plausible wrong events and minimise the work of illustrators.

Of the ebTEL 2012 Workshop co-located with PAAMS 2012. Springer (2012) 2. : Design Smart Games with requirements, generate them with a Click, and revise them with a GUIs. Advances in Distributed Computing and Artificial Intelligence Journal 1(3), 59–68 (2012) 3. : The TERENCE smart games revision guidelines and software tool. , De la Prieta, F. ) 2nd International Workshop on Evidenced-Based TEL. AISC, vol. 218, pp. 17–24. Springer, Heidelberg (2013) 4. : Playing for Improving the Reading Comprehension Skills of Primary School Poor Comprehenders.

The learners involved were about 300 in Italy and about 300 in the UK; the educators involved were about 50 in Italy and about 30 in the UK. Learners are currently represented by five classes in Italy and four classes in UK [14]. The most significant features related to the characteristics of the users and considered for deriving the TERENCE classes are biographical information, personality and usage of technology. All the classes and the features used for deriving the TERENCE classes were then specified using personas, which are explained in [2] [14].

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