【摘要】：隨著教育改革的深入和科學(xué)技術(shù)的快速發(fā)展,教育發(fā)展也越來(lái)越多元化。計(jì)算機(jī)信息技術(shù)在教育中應(yīng)用比重也越來(lái)越大,出現(xiàn)了以遠(yuǎn)程學(xué)習(xí)、移動(dòng)學(xué)習(xí)等為代表的網(wǎng)絡(luò)學(xué)習(xí)。然而,對(duì)于仍處在以課堂教育為主的學(xué)生而言,網(wǎng)絡(luò)學(xué)習(xí)還存在著諸如無(wú)法深入課堂,提供個(gè)性化學(xué)習(xí)服務(wù)等缺點(diǎn)。因此,研究針對(duì)課堂教學(xué)的個(gè)性化學(xué)習(xí)服務(wù)平臺(tái),為追求個(gè)性化學(xué)習(xí)提供支撐,成為當(dāng)前教育研究和關(guān)注的熱點(diǎn)。大數(shù)據(jù)及移動(dòng)技術(shù)的發(fā)展與廣泛應(yīng)用,大大促進(jìn)了信息技術(shù)融入傳統(tǒng)課堂教學(xué)中的速度。以大數(shù)據(jù)理論為理論支撐,以移動(dòng)技術(shù)為支撐,在課堂教學(xué)中,為學(xué)生提供個(gè)性化學(xué)習(xí)服務(wù)成為可能。論文在個(gè)性化學(xué)習(xí)理論研究的基礎(chǔ)上,首先,分析個(gè)性化學(xué)習(xí)的特點(diǎn)和影響學(xué)習(xí)效果的主要因素;其次,建立個(gè)性化學(xué)習(xí)支撐服務(wù)平臺(tái),基于本體建立學(xué)習(xí)資源和知識(shí)體系模型,并利用數(shù)據(jù)挖掘建模技術(shù),建立資源的個(gè)性化推薦模型;最后,結(jié)合教學(xué)過(guò)程中產(chǎn)生的問(wèn)題和需求,設(shè)計(jì)實(shí)現(xiàn)基于iOS的移動(dòng)自主學(xué)堂系統(tǒng)。通過(guò)該系統(tǒng),為學(xué)生提供個(gè)性化學(xué)習(xí)服務(wù),提高課堂教學(xué)效率。論文的主要研究?jī)?nèi)容如下:(1)分析個(gè)性化學(xué)習(xí)的特點(diǎn),及影響個(gè)性化學(xué)習(xí)的因素,為建立個(gè)性化學(xué)習(xí)平臺(tái)做理論鋪墊。(2)構(gòu)建個(gè)性化學(xué)習(xí)平臺(tái)模型,細(xì)化個(gè)性化學(xué)習(xí)內(nèi)容。在構(gòu)建模型的過(guò)程中,基于本體建立學(xué)習(xí)資源元數(shù)據(jù)描述模型,及中學(xué)知識(shí)體系模型,并用OWL語(yǔ)言描述。為平臺(tái)數(shù)據(jù)分析提供支持。(3)在對(duì)學(xué)生和學(xué)習(xí)資源雙重聚類分析的基礎(chǔ)上,設(shè)計(jì)協(xié)同過(guò)濾算法,建立學(xué)習(xí)資源個(gè)性化推薦模型。(4)開發(fā)基于iOS的自主學(xué)堂系統(tǒng)。
[Abstract]:With the deepening of educational reform and the rapid development of science and technology, the development of education is becoming more and more diversified. The application of computer information technology in education has become more and more important, and the network learning represented by distance learning and mobile learning has emerged. However, for the students who are still in the classroom education, the network learning still has some shortcomings, such as unable to go deep into the classroom and provide individualized learning services. Therefore, the research of individualized learning service platform for classroom teaching has become the focus of educational research and attention. The development and wide application of big data and mobile technology greatly promote the speed of information technology in traditional classroom teaching. Taking big data's theory as theoretical support and mobile technology as support, it is possible to provide individualized learning services for students in classroom teaching. On the basis of the study of individualized learning theory, firstly, this paper analyzes the characteristics of individualized learning and the main factors that affect the learning effect. Secondly, the individualized learning support service platform is established, the learning resources and knowledge system model is established based on ontology, and the personalized recommendation model of resources is established by using data mining modeling technology. Finally, a mobile autonomous school system based on iOS is designed and implemented according to the problems and demands in the teaching process. Through this system, we can provide individualized learning service for students and improve the efficiency of classroom teaching. The main contents of this paper are as follows: (1) analyzing the characteristics of individualized learning and the factors that affect it, and making a theoretical foundation for the establishment of individualized learning platform. (2) constructing a model of individualized learning platform. Refine the content of personalized learning. In the process of constructing the model, the learning resource metadata description model and the middle school knowledge system model are established based on ontology, and the model is described by OWL language. (3) based on the dual clustering analysis of students and learning resources, a collaborative filtering algorithm is designed to establish a personalized recommendation model for learning resources. (4) an autonomous school system based on iOS is developed.
【學(xué)位授予單位】：河南師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：G434

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