Automated Generation of User Guidance by Combining Computation and Deduction
Walther Neuper

TL;DR
This paper introduces Lucas Interpretation, a novel approach combining computation and deduction in a CTP-based language to generate user guidance in educational mathematics assistants, enhancing problem-solving support.
Contribution
It presents a new method that integrates computation and deduction for user guidance, addressing the limitations of ATP in generating solutions for applied mathematics problems.
Findings
Prototype implementation demonstrates practical usefulness.
Effective integration of computation and deduction for guidance.
Supports educational mathematics assistants with improved problem-solving aid.
Abstract
Herewith, a fairly old concept is published for the first time and named "Lucas Interpretation". This has been implemented in a prototype, which has been proved useful in educational practice and has gained academic relevance with an emerging generation of educational mathematics assistants (EMA) based on Computer Theorem Proving (CTP). Automated Theorem Proving (ATP), i.e. deduction, is the most reliable technology used to check user input. However ATP is inherently weak in automatically generating solutions for arbitrary problems in applied mathematics. This weakness is crucial for EMAs: when ATP checks user input as incorrect and the learner gets stuck then the system should be able to suggest possible next steps. The key idea of Lucas Interpretation is to compute the steps of a calculation following a program written in a novel CTP-based programming language, i.e. computation…
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