One-on-one tutoring is a form of instruction that requires interaction between a tutor and a tutee. The effectiveness of tutoring is examined from the perspectives of the tutor's actions, the tutee's actions, and successive interactions. A tutor's actions that may not lead to successive interactions consist of asking an initiating question, providing feedback, and asking a comprehension-gauging...

Learning from worked-out examples is very effective for initial skill acquisition, at least when learners actively explain the solution steps in the examples to themselves. However, learning solely on the basis of self-explanations is connected with several restrictions, even when effective self-explaining is trained or elicited. Therefore, a coherent set of principles for integrating instructi...

In this paper we describe ASTRA, a computational aid for generating process explanations in nuclear astrophysics. The system operates in two stages, the rst using knowledge of quantum theory to produce a set of legal reactions among elements and the second searching for pathways of such reactions that explain the evolution of some element in terms of lighter ones. ASTRA has found apparently nov...

This is a study of an action research project conducted in one the biggest university departments for sociology Central Eastern European capital during first half 2000s. The paper shows that researchers’ images society have strong impact on social scientific methodology, explanations and narratives. I offer example how realist approaches to science technology studies can be used field discuss b...

According to a longstanding philosophical tradition dating back Aristotle, certain proofs do not only certify the truth of their conclusion but also explain it. Lately, much effort is being devoted logically characterise explanatory relation grounding, especially by proof-theoretical means. Nevertheless, no thorough investigation resulting notion formal explanation exists. We show that explanat...

Abstract We examine whether data generated by explanation techniques, which promote a process of self-reflection, can improve classifier performance. Our work is based on the idea that humans have ability to make quick, intuitive decisions as well reflect their own thinking and learn from explanations. To best our knowledge, this first time potential mimicking using explanations explainability ...