Explain what knowledge

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University of the People *

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4408

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Psychology

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Nov 24, 2024

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docx

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Explain what knowledge (about physics and about students) is required for consistency-based diagnosis. Standard solutions to physics problems serve as the knowledge inconsistency-based diagnosis (CBD). Every question is assumed to receive the proper response from students. The tutoring program makes observations that are in line with the right physics ideas. Conflicts arise when wrong answers are discovered. Conflicts can provide as evidence of the tutoring system’s flaws (Poole & Mackworth, 2017). The tutoring system determines what errors lead to these conflicts given a list of all conflicts. Explain what knowledge (about physics and about students) isrequired for abductive diagnosis. Abductive reasoning (AD) is the process of inferring explanations from the reasons students give for their propositional answers. Student responses in physics are viewed as fragmented, insufficient, and perhaps mistaken arguments for abductive diagnosis. Answers that are right and wrong are handled equally. The abductive diagnostic seeks to complete those justifications and offer proof-based representations of students' responses to the intelligent tutoringsystem (Makatchev, Jordan, & Vanlehn, 2004). What is the main advantage of using abductive diagnosis overconsistency-based diagnosis in this domain? Because the knowledge base for abductive diagnosis must support student responses, whether they are facts or merely hypotheses, it is more thorough. The tutoring method must be directed by AD after determining from the students' responses whether or not they have understood (Poole &Mackworth, 2017). Additionally, assumption-based reasoning’s can be implemented top-down or bottom-up in AD. What is the main advantage of consistency-based diagnosis overabductive diagnosis in this domain? Abductive diagnosis is more complex; consistency-based diagnosis is less so.CBD integrates student responses to its knowledge base and tries to disprove incorrect responses. The tutoring system can learn which configuration queries might result in inaccurate answers by "proving by contradiction." The tutoring system's accuracy is
tested using valid and invalid replies, and debugging of its knowledge base can be started to find incorrect bits of information (Felfernig, Friedrich, Jannah, & Stumpler, 2004). References: Poole, D. L., & Mackworth, A. K. (2017). Artificial Intelligence: Foundations of computational agents. Cambridge University Press. https://artint.info/2e/html/ArtInt2e.html . Felfernig, A., Friedrich, G., Jannach, D., & Stumpter, M. (2004). ConsistencyBased Diagnosis of Configuration Knowledge-Bases. Retrieved from https://www.sciencedirect.com/science/article/pii/S00043702030011 76 Makatchev, M., Jordan, P., & Vanlehn, K. (2004). Abductive Theorem Proving for Analyzing Students Explanations to Guide Feedback in Intelligent Tutoring Systems, Journal of Automated Reasoning 32, 187-226. arte-final.pdf(pitt.edu)
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