Use the knowledge construction decision tree to guide the design of the activity. Consider the following:Does the learning activity require knowledge construction? Is knowledge construction the main requirement? Are learners required to apply their knowledge in a new context? Is the learni...
One of the best features of Helpjuice is its ability to create knowledge base articles that include decision trees. With the decision tree option, you can walk readers through a set of questions that display different content based on their answers. This can be especially helpful for technical ...
The knowledge construction decision tree poses four questions that correspond to the rubric. Educators must consider these questions when designing learning activities to deepen knowledge construction:Does the learning activity require knowledge construction? Is knowledge construction the main requ...
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4 We set up string-to-tree translation systems based on each of the different parses of the German target-language side of the parallel training data. While BitPar, the Stanford Parser and the Berkeley Parser are all based on the NEGRA/TIGER annotation scheme, they differ in whether they ...
The Go program Crazy Stone, using Monte Carlo tree search (MCTS), won9×9Go in the 11th Computer Olympiad18. Afterward, it was found that MCTS is more suitable for Go. Cheng-Wei Chou et al.19used Meta-MCTS to solve7×7Go in 2011. Although his algorithm does not completely solve7×...
This work presents an approach to extract and exploit knowledge in an automated way by means of a decision tree algorithm, relying on the interpretation of the built model to gain insight into the generating process. It is structured as follows: Section 2 describes the problem that was to be...
(dark blue); temperate and semi-arid sampling locations are noted.b, Photo of mounted Yallara specimen; photo credit: K. Travouillon. A map showing the historical Yallara range.c, Phylogenetic tree ofMacrotis lagotisandMacrotis leucura. Support values for major branches are given as boot...
Rymon, R. 1993. An SE-tree based characterization of the induction problem. Proceedings of the Tenth International Conference on Machine Learning. Morgan Kaufmann. Sarawagi, S., Thomas, S., and Agrawal, R. 1998. Integrating association rule mining with relational database systems: Alternatives ...