Xi Yang
College of Engineering
Works (4)
Updated: March 13th, 2024 05:01
2023 conference paper
XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent
Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23). Presented at the 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23), Würzburg, Germany.
Event: 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23) at Würzburg, Germany on September 19-22, 2023
TL;DR:
Empirical study shows the IPA with personalized explanations significantly improves students' learning outcomes compared to the other versions of the Intelligent Pedagogical Agent.
(via Semantic Scholar)
dl.acm.org (publisher PDF)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: December 17, 2023
2022 chapter book
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer
Event: Springer International Publishing
author keywords: Strategy awareness; Time awareness; Metacognitive skill instruction; Preparation for future learning; Backward chaining
TL;DR:
This work investigated the impact of mixing BC with FC on teaching strategy- and time-awareness for nonStrTime students and showed that on both tutors, Exp outperformed Ctrl and caught up with StrTime.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Sources: Web Of Science, ORCID, Crossref
Added: November 21, 2022
2022 article
Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 440–452.
author keywords: Critical decisions; Reinforcement learning; Student choice
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: November 21, 2022
2020 article
PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems
MULTIMEDIA MODELING (MMM 2020), PT II, Vol. 11962, pp. 63–75.
author keywords: Multimodal; Block-wise missing; Learning gain prediction
TL;DR:
A Progressively Refined Imputation for Multi-modalities by auto-Encoder (PRIME), which trains the model based on single, pairwise, and entire modalities for imputation in a progressive manner, and therefore enables us to maximally utilize all the available data.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: February 22, 2021
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