Large language model and domain-specific model collaboration for smart education
Top Cited Papers
- 23 March 2024
- journal article
- research article
- Published by Zhejiang University Press in Frontiers of Information Technology & Electronic Engineering
- Vol. 25 (3) , 333-341
Abstract
摘要 提出旨在增强智能教育的大型语言与领域特定模型协作(LDMC)框架。LDMC框架充分利用大型领域通用模型的综合全面知识,将其与小型领域特定模型的专业和学科知识相结合,并融入来自学习理论模型的教育学知识。这种整合产生的多重知识表达促进了个性化和自适应的教育体验。在智能教育背景下探讨了LDMC框架的各种应用,包括群体学习、个性化辅导、课堂管理等。LDMC融合了多种规模模型的智能,代表了一种先进而全面的教育辅助框架。随着人工智能的不断发展,该框架有望在智慧教育领域展现较大潜力。This publication has 29 references indexed in Scilit:
- Personas-based Student Grouping using reinforcement learning and linear programmingKnowledge-Based Systems, 2023
- Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT2023
- AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR2023
- A learning path recommendation model based on a multidimensional knowledge graph framework for e-learningKnowledge-Based Systems, 2020
- Multiple Knowledge Representation of Artificial IntelligenceEngineering, 2020
- Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation2019
- Smart Education with artificial intelligence based determination of learning stylesProcedia Computer Science, 2018
- Understanding bag-of-words model: a statistical frameworkInternational Journal of Machine Learning and Cybernetics, 2010
- A Randomized Controlled Trial Evaluating the Active Communication Education Program for Older People with Hearing ImpairmentEar & Hearing, 2007
- Kolb's Experiential Learning Theory and Its Application in Geography in Higher EducationJournal of Geography, 2000