In this paper we apply natural language processing and machine learning techniques to a corpus of transcripts from Imai and Gelfand [4] in order to develop classifiers that can be used to automate coding of negotiation thought units. The models we used include multinomial Naive Bayes, maximum entropy, and a first-order conditional random field. We demonstrate that such classifiers perform signi...

These lectures provide a pedagogical introduction to inflation and the theory of cosmological perturbations generated during inflation which are thought to be the origin of structure in the universe.

Research shows that expert-crafted worked examples can have a positive effect on student performance. To investigate the potential for data-driven worked examples to achieve similar results, we generated worked examples for the Deep Thought logic tutor, and conducted an experiment to assess their impact on performance. Students who received data-driven worked examples were much more likely to c...

Teacher pedagogical knowledge base (PKB) has secured a notable position in research on teacher cognition. One obvious gap this strand of concerns variations teachers’ thought processes relation to individual difference variables despite indications that PKB is likely differ across differences. To fill part the void, study investigated how PKB—conceptualized as frequency and dominance units/cate...

We have augmented the Deep Thought logic tutor with a Hint Factory that generates data-driven, context-specific hints for an existing computer aided instructional tool. We investigate the impact of the Hint Factory’s automatically generated hints on educational outcomes in a switching replications experiment that shows that hints help students persist in a deductive logic proofs tutor. Three in...

This paper presents an ontology-based approach to automatic annotation of learning objects’ (LOs) content units that we tested in TANGRAM, an integrated learning environment for the domain of Intelligent Information Systems. The approach does not primarily focus on automatic annotation of entire LOs, as other relevant solutions do. Instead, it provides a solution for automatic metadata generati...

Tomorrow’s marketing theory is best co-authored with its past, the history of marketing thought. The merits of this co-authoring are deeply rooted in the value this brings to marketing knowledge and the marketing discipline – conceptual, methodological, scientific and pedagogical value. The purpose of this contribution is to demonstrate the relationship between the history of marketing thought ...

This paper describes a design approach for integrating learning objects based on a strong pedagogical framework, the Smart Learning Design Framework (SLDF). The framework is based on the assumptions that good learning settings focus on pedagogically sound design and that reusable learning objects can be effectively located and incorporated into learning settings. This paper describes a tool dev...