本文選題：智能知識點(diǎn)診斷 + ICAI�。� 參考：《河南理工大學(xué)》2014年碩士論文

【摘要】：在全球化的趨勢下,教育教學(xué)的地位日趨重要,傳統(tǒng)的教育教學(xué)方式由于其局限性已經(jīng)無法滿足現(xiàn)階段不斷提高的課程學(xué)習(xí)需求。本文通過對各個高校和培訓(xùn)機(jī)構(gòu)中網(wǎng)絡(luò)化課程的建設(shè)所面臨的問題進(jìn)行分析,設(shè)計(jì)了基于智能知識點(diǎn)診斷及策略推理機(jī)制的學(xué)習(xí)系統(tǒng)。論文的研究內(nèi)容及主要工作包括:1、將學(xué)科知識和教學(xué)知識用知識庫表示的方式構(gòu)建教學(xué)知識庫,將學(xué)生在學(xué)習(xí)過程中的學(xué)習(xí)特點(diǎn)和學(xué)習(xí)進(jìn)程用學(xué)生模型來描述,依據(jù)相應(yīng)的策略自動生成與學(xué)生知識水平相對應(yīng)的教學(xué)內(nèi)容。根據(jù)學(xué)生的知識水平、掌握程度及學(xué)習(xí)進(jìn)度的不同,選擇與其相適應(yīng)的課程內(nèi)容并調(diào)整教學(xué)進(jìn)度。2、根據(jù)學(xué)生的錯誤進(jìn)行診斷,智能分析模塊會分析產(chǎn)生錯誤的原因,并給出相應(yīng)的糾正措施和建議。對學(xué)生的學(xué)習(xí)狀態(tài)變化能自動跟蹤,并動態(tài)分析,及時調(diào)整教學(xué)策略和教學(xué)內(nèi)容,實(shí)現(xiàn)個別化教學(xué)。系統(tǒng)提供智能評價功能,對學(xué)生的學(xué)習(xí)行為和教師的教學(xué)行為進(jìn)行分析和評價,并給出相應(yīng)的學(xué)習(xí)或教學(xué)建議。3、對以智能知識點(diǎn)診斷及策略推理機(jī)制為基礎(chǔ)的教學(xué)系統(tǒng)中,以英語教學(xué)為例進(jìn)行系統(tǒng)的整體設(shè)計(jì)思想介紹,通過引入人工智能診斷機(jī)制思想設(shè)計(jì)了學(xué)生模型和教師模型,可實(shí)現(xiàn)教學(xué)內(nèi)容與教學(xué)策略分開化。4、論述了系統(tǒng)中關(guān)鍵功能的技術(shù)過程,對系統(tǒng)總體的架構(gòu)、功能、教學(xué)模式、流程和數(shù)據(jù)庫進(jìn)行了分析設(shè)計(jì)。包括學(xué)生模型的構(gòu)建、知識點(diǎn)分析、錯誤判定、教學(xué)策略庫的實(shí)現(xiàn)以及智能分析模塊的設(shè)計(jì)流程、方法等。
[Abstract]:Under the trend of globalization, the status of education and teaching is becoming more and more important. Because of its limitations, the traditional education and teaching methods can not meet the increasing needs of curriculum learning at the present stage. Based on the analysis of the problems faced by the construction of network courses in universities and training institutions, a learning system based on intelligent knowledge point diagnosis and strategic reasoning mechanism is designed in this paper. The research contents and main work of the thesis include: 1. The knowledge base of teaching is constructed by using knowledge base to express subject knowledge and teaching knowledge, and the characteristics and process of students' learning in the process of learning are described by student model. According to the corresponding strategies, it automatically generates the teaching contents corresponding to the students' knowledge level. According to the students' knowledge level, mastering degree and learning progress, choosing the appropriate course contents and adjusting the teaching progress. 2. According to the students' mistakes, the intelligent analysis module will analyze the causes of the errors. The corresponding corrective measures and suggestions are also given. The change of students' learning state can be automatically tracked and dynamically analyzed, teaching strategies and contents can be adjusted in time, and individualized teaching can be realized. The system provides the function of intelligent evaluation, analyzes and evaluates the students' learning behavior and the teacher's teaching behavior, and gives the corresponding learning or teaching advice .3. in the teaching system based on the intelligent knowledge point diagnosis and the strategy reasoning mechanism, Taking English teaching as an example, this paper introduces the whole design idea of the system, designs the student model and the teacher model by introducing the artificial intelligence diagnosis mechanism. This paper discusses the technical process of the key functions in the system, and analyzes and designs the overall structure, function, teaching mode, process and database of the system. It includes the construction of student model, knowledge point analysis, error judgment, the realization of teaching strategy library and the design flow and method of intelligent analysis module.
【學(xué)位授予單位】：河南理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.7;G434

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