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ECTEL
2010
Springer
13 years 8 months ago
Investigating Teachers' Understanding of IMS Learning Design: Yes They Can!
In order to understand whether conceptual obscurity is truly the reason for the slow uptake of IMS Learning Design (LD), we have initiated an investigation into teachers' unde...
Michael Derntl, Susanne Neumann, Dai Griffiths, Pe...
ICALT
2005
IEEE
14 years 4 months ago
Authoring Educational Topic Maps: Can We Make It Easier?
In this paper we examine some problems related to capturing the structure and the topic name space of learning content in the context of Topic Map authoring. We demonstrate that t...
Darina Dicheva, Christo Dichev
ALT
2003
Springer
14 years 2 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
ICMLA
2009
13 years 8 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
ICML
2005
IEEE
14 years 11 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos