基于Android手機平臺的趣味繪畫色彩學習系統(tǒng)的設(shè)計與開發(fā)
發(fā)布時間：2018-07-26 19:22
【摘要】：近年來,移動學習被廣泛的應(yīng)用于學校、企業(yè)等機構(gòu)的教育培訓中,隨著移動設(shè)備普及率的增加,因其充分利用學習者碎片化時間的優(yōu)點受到了越來越多的社會關(guān)注,提高了學習者的學習效率,鞏固了課堂教學目標。色彩之于人的生活與工作都有較大比重的影響,尤其是運用色彩的專業(yè)領(lǐng)域。移動學習方式為色彩學習與運用帶來了適應(yīng)性的教學輔助改革,讓色彩學習更多的來源于生活與自然,架起師生課外溝通平臺的同時,增加學習者與學習環(huán)境之間的溝通。 本文構(gòu)建的繪畫色彩學習系統(tǒng),旨在為色彩學習者提供更加方便快捷的移動色彩知識庫和色彩信息的交流學習平臺,以及更加靈活的色彩采集途徑,使色彩信息、色彩應(yīng)用實例、色彩學習資源實現(xiàn)合理共享。作為教學輔助工具訓練色彩學習者對色彩和色彩搭配的敏感度,為了達到這一教學目標,系統(tǒng)添加了推薦引擎技術(shù),在研究色彩相似度的基礎(chǔ)上,通過學習者的喜好和其他色彩搭配實例將最可能感興趣或最佳搭配推送到學習者面前,提高了學習者的學習興趣,進而促進教學輔助質(zhì)量的提高。 本文首先介紹了論文的研究意義與研究方法,提出了色彩學習移動化的必要性,在移動學習的相關(guān)教學理論指導(dǎo)下,將分布式認知概念引入到系統(tǒng)中來,強調(diào)感知個體與環(huán)境和其他感知個體之間的相互影響。然后闡述了傳統(tǒng)的移動學習模式,繼而提出分布式認知理論視角下的色彩移動學習模型的設(shè)計。接下來,在理論模型的基礎(chǔ)上,探究系統(tǒng)實現(xiàn)的可行性和開銷成本,并對系統(tǒng)客戶端和服務(wù)器端可能采用的實現(xiàn)技術(shù)進行對比分析；接著對色彩相似度展開進一步的討論,詳細描述了推薦引擎在色彩學習系統(tǒng)中應(yīng)用的相似度算法。接下來對繪畫色彩學習系統(tǒng)進行整體設(shè)計,包括架構(gòu)設(shè)計、功能設(shè)計、數(shù)據(jù)庫設(shè)計。最后闡述了系統(tǒng)關(guān)鍵模塊的詳細設(shè)計與開發(fā)過程,以及系統(tǒng)的運行結(jié)果展示。
[Abstract]:In recent years, mobile learning has been widely used in the education and training of schools, enterprises and other institutions. With the increasing popularity of mobile devices, more and more attention has been paid to mobile learning because of its advantage of making full use of the fragmented time of learners. Improve learners' learning efficiency and consolidate classroom teaching objectives. Color has a greater impact on people's life and work, especially in the use of color in the professional field. Mobile learning brings adaptive teaching assistant reform for color learning and application, makes color learning more from life and nature, sets up extra-curricular communication platform for teachers and students, and increases communication between learners and learning environment at the same time. The painting color learning system constructed in this paper aims at providing a more convenient and quick exchange and learning platform for color learners to move the color knowledge base and color information, as well as a more flexible way of color collection, so that the color information can be obtained. Color application examples, color learning resources to achieve reasonable sharing. As a teaching aid tool to train color learners' sensitivity to color and color collocation, in order to achieve this teaching goal, the system adds the technology of recommendation engine, which is based on the study of color similarity. Through the learners' preference and other collocation examples, the most likely interest or the best collocation can be pushed to the learners, which can improve the learners' interest in learning and further improve the quality of teaching aids. This paper first introduces the research significance and research methods of the paper, and puts forward the necessity of color learning mobility. Under the guidance of the relevant teaching theory of mobile learning, the concept of distributed cognition is introduced into the system. Emphasis is placed on the interaction between the perceptual individual and the environment and other perceptual individuals. Then the traditional mobile learning model is introduced, and the design of color mobile learning model based on distributed cognitive theory is put forward. Then, on the basis of the theoretical model, the feasibility and cost of the system implementation are explored, and the possible implementation technologies of the system client and server are compared and analyzed. Then, the color similarity is further discussed. The similarity algorithm of recommendation engine in color learning system is described in detail. Then the overall design of painting color learning system, including architecture design, function design, database design. Finally, the detailed design and development process of the key modules of the system and the running results of the system are described.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP391.3;J206.3-4
本文編號：2147041
[Abstract]:In recent years, mobile learning has been widely used in the education and training of schools, enterprises and other institutions. With the increasing popularity of mobile devices, more and more attention has been paid to mobile learning because of its advantage of making full use of the fragmented time of learners. Improve learners' learning efficiency and consolidate classroom teaching objectives. Color has a greater impact on people's life and work, especially in the use of color in the professional field. Mobile learning brings adaptive teaching assistant reform for color learning and application, makes color learning more from life and nature, sets up extra-curricular communication platform for teachers and students, and increases communication between learners and learning environment at the same time. The painting color learning system constructed in this paper aims at providing a more convenient and quick exchange and learning platform for color learners to move the color knowledge base and color information, as well as a more flexible way of color collection, so that the color information can be obtained. Color application examples, color learning resources to achieve reasonable sharing. As a teaching aid tool to train color learners' sensitivity to color and color collocation, in order to achieve this teaching goal, the system adds the technology of recommendation engine, which is based on the study of color similarity. Through the learners' preference and other collocation examples, the most likely interest or the best collocation can be pushed to the learners, which can improve the learners' interest in learning and further improve the quality of teaching aids. This paper first introduces the research significance and research methods of the paper, and puts forward the necessity of color learning mobility. Under the guidance of the relevant teaching theory of mobile learning, the concept of distributed cognition is introduced into the system. Emphasis is placed on the interaction between the perceptual individual and the environment and other perceptual individuals. Then the traditional mobile learning model is introduced, and the design of color mobile learning model based on distributed cognitive theory is put forward. Then, on the basis of the theoretical model, the feasibility and cost of the system implementation are explored, and the possible implementation technologies of the system client and server are compared and analyzed. Then, the color similarity is further discussed. The similarity algorithm of recommendation engine in color learning system is described in detail. Then the overall design of painting color learning system, including architecture design, function design, database design. Finally, the detailed design and development process of the key modules of the system and the running results of the system are described.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP391.3;J206.3-4
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