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The Andes Physics Tutoring System: Lessons Learned

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TLDR
The Andes system demonstrates that student learning can be significantly increased by upgrading only their homework problem-solving support, and its key feature appears to be the grain-size of interaction.
Abstract
The Andes system demonstrates that student learning can be significantly increased by upgrading only their homework problem-solving support. Although Andes is called an intelligent tutoring system, it actually replaces only the students' pencil and paper as they do problem-solving homework. Students do the same problems as before, study the same textbook, and attend the same lectures, labs and recitations. Five years of experimentation at the United States Naval Academy indicates that Andes significantly improves student learning. Andes' key feature appears to be the grain-size of interaction. Whereas most tutoring systems have students enter only the answer to a problem, Andes has students enter a whole derivation, which may consist of many steps, such as drawing vectors, drawing coordinate systems, defining variables and writing equations. Andes gives feedback after each step. When the student asks for help in the middle of problem-solving, Andes gives hints on what's wrong with an incorrect step or on what kind of step to do next. Thus, the grain size of Andes' interaction is a single step in solving the problem, whereas the grain size of a typical tutoring system's interaction is the answer to the problem. This report is a comprehensive description of Andes. It describes Andes' pedagogical principles and features, the system design and implementation, the evaluations of pedagogical effectiveness, and our plans for dissemination.

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Focus on Formative Feedback

TL;DR: This article reviewed the corpus of research on feedback, with a focus on formative feedback, defined as information communicated to the learner that is intended to modify his or her thinking or behavior to improve learning.
Journal ArticleDOI

Focus on formative feedback

TL;DR: This paper reviews the corpus of research on feedback, with a particular focus on formative feedback—defined as information communicated to the learner that is intended to modify the learners' thinking or behavior for the purpose of improving learning, and concludes with a set of guidelines for generatingformative feedback.
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The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

TL;DR: It was found that the effect size of human tutoring was much lower than previously thought, and the effect sizes of intelligent tutoring systems were nearly as effective as human tutors.
Proceedings Article

The Behavior of Tutoring Systems

TL;DR: Although tutoring systems differ widely in their task domains, user interfaces, software structures, knowledge bases, etc., their behaviors are in fact quite similar.
References
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TL;DR: This paper describes and evaluates explanations offered by these theories to account for the effect of extralist cuing, facilitation of recall of list items by nonlist items.
Journal ArticleDOI

Intelligent tutoring systems

TL;DR: Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP.
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