Research paper

A Mobile Platform-Based Course Intelligent Question and Answer Service Mode and Its Implementations

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  • 1. Library of South China Agricultural University, Guangzhou 510640;
    2. Guangzhou shadow Technology Co., Ltd., Guangzhou 510642

Received date: 2020-08-05

  Online published: 2021-03-17

Abstract

[Purpose/Meaning] Multimedia methods are used in classroom teaching, with such characteristics as a large amount of information and fast pace, which doubles the pressure of extracurricular tutoring and answering service. This article proposes an active information service model of creating a course information system, establishing a course information database and linking it to a course information interaction platform.[Method/Process] By constructing a course answering robot and embedding it into the course interactive platform with the role of "intelligent teaching assistant", the information service can directly face the front line of teaching, and the extracurricular auxiliary teaching is more convenient and efficient. Taking the course WeChat group as an example platform, an "intelligent teaching assistant' role is generated in the form of an app and pulled into the group' giving certain online Q&A and online self-learning capabilities.[Results/Conclusions] The technical theories and methods of system development are briefly introduced. After the prototype system is tested the effectiveness and feasibility of the online role service model is initially verified. This article explores a new way in using modern information systems to actively serve the front line of teaching.

Cite this article

YAN Yimei, CHEN Hongbiao . A Mobile Platform-Based Course Intelligent Question and Answer Service Mode and Its Implementations[J]. Journal of Library and Information Science in Agriculture, 2021 , 33(2) : 74 -82 . DOI: 10.13998/j.cnki.issn1002-1248.20-0704

References

[1] 黄晓斌, 杨敏. 世界一流大学图书馆为本科教学服务的做法与启示[J]. 图书馆论坛, 2019(7): 136-143.
HUANG X B, YANG M.Ten world top university libraries' services for undergraduate education and their inspirations[J]. Library tri-bune, 2019(7): 136-143.
[2] 李书宁. 构建分层学科服务体系提供精准化嵌入式服务[J]. 图书馆工作与研究, 2017(1): 85-89.
LI S N.Constructing hierarchical subject service systems and providing accurate embedded services[J]. Library work and study, 2017(1): 85-89.
[3] 贾静. 加强高校图书馆科研服务工作探析[J]. 图书情报工作, 2015, 59(s2): 41-44.
JIA J.On strengthening the scientific research service of university library[J]. Library and information service,2015, 59(s2): 41-44.
[4] 吴爱芝, 王婧媛. 大数据时代高校图书馆嵌入式科研服务模式与内容研究[J]. 现代情报, 2018(12): 97-101.
WU A Z, WANG J Y.Research on embedded research services of university libraries in big data era[J]. Journal of modern informa-tion, 2018(12): 97-101.
[5] 纪彦旭. 基于微信平台的教学系统的设计与实现[D]. 湖北工业大学, 2018: 25-50.
JI Y X.Design and implementation of teaching system based on WeChat platform[D]. Wuhan: Hubei university of technology, 2018: 25-50.
[6] 丘源. 微信平台在大学专业课程教学中的应用—以单片机原理及应用课程为例[J]. 大学教育2019(3): 84-86, 103.
QIU Y.The application of WeChat platform in college and university professional courses instruction-Taking "principle and application of single-chip microcomputer" course as an example[J]. University education, 2019(3): 84-86, 103.
[7] 宋振世, 顾笑迎. 微信在图书馆信息服务中的应用实践—以华东师范大学图书馆为例[J]. 图书馆杂志, 2017(10): 26-32.
SONG Z S, GU X Y.Application of WeChat to library information service: East China normal university library as an example[J].Library journal, 2017(10): 26-32.
[8] 王雅戈, 叶继元, 林云水, 等. 高校图书馆信息咨询高端服务的实践与思考—常熟国家大学科技园信息平台构建与服务[J]. 图书馆论坛, 2013, 33(2): 68-72.
WANG Y G, YE J Y, LIN Y S, et al.Practice and thinking on the advanced information consultation service of university library-services & construction on information platform of Changshu national university science park[J]. Library tribune, 2013, 33(2): 68-72.
[9] ALLISON D.Chatbots in the library is it time[J].Library hi tech, 2012(1): 95-107.
[10] SHAOKUN J. Similarity calculation and proposed benefit-harm value for grammar learning chat robot[J]. 法政大学大学院纪要(情报科学研究科编), 2015(10).
[11] 李雪婷, 李莘. 图书馆微信平台自动问答机器人语言体系研究[J]. 现代情报, 2016(10): 99-101.
LI X T, LI X.Research on language system of library automatic question-answering system based on WeChat[J]. Journal of modern information, 2016(10): 99-101.
[12] 刘宝瑞, 郭宏娇. 基于Deep QA的图书馆数字参考咨询问答系统研究[J]. 情报科学, 2017(4): 103-108.
LIU B R, GUO H J.Library digital answering and reference system based on deep QA technology[J]. Information science, 2017(4): 103-108.
[13] 沈奎林, 邵波, 赵华. 利用微信构建图书馆智能问答系统[J]. 图书馆学研究, 2015(8): 75-80.
SHEN K L, SHAO B, ZHAO H.Using WeChat to construct the intelligent question-answering system of library[J]. Researches in library science, 2015(8): 75-80.
[14] 覃显晶, 王祥伟, 庄卉卉. 基于人工智能技术的图书馆咨询机器人设计与实现[J]. 情报探索, 2019(3): 91-97.
QIN X J, WANG X W, ZHUANG H H.Design and implementation of library consulting robot based on artificial intelligence[J]. Infor-mation research, 2019(3): 91-97.
[15] 陆伟, 戚越, 胡潇戈, 等. 图书馆自动问答系统的设计与实现[J]. 图书情报知识, 2019(2): 5-16.
LU W, QI Y, HU X G, et al.Design and implementation of library automatic question answering system[J]. Technology intelligence engineering, 2019(2): 5-16.
[16] DOUG T (美), JOHN B (美), 著. 相关性搜索: 利用Solr与Elasticsearch创建智能应用[M]. 莫映, 蔡宇飞, 殷智勇, 译. 北京: 电子工业出版社, 2017: 23-26.
DOUG T, JOHN B.Relevant search: With applications for solr and elasticsearch[M]. Translator: MO Y, CAI Y F, YING Z Y. Beijing: Publishing house of electronics industry, 2017: 23-26.
[17] 张继军, 主编. Java程序设计[M]. 北京: 中国水利水电出版社, 2019: 6-21.
ZHANG J J.Java程序设计[M]. Beijing: China water & power press, 2019: 6-21.
[18] 王海, 于佳. Java开发工具分析与研究(一)[J]. 吉林化工学院学报, 2016(3): 67-70.
WANG H, YU J.The analysis and review on development tools of Java(I)[J]. Journal of Jilin institute of chemical technology, 2016(3): 67-70.
[19] 付磊, 张益军, 编著. Redis开发与运维[M]. 北京: 机械工业出版社, 2017: 346-391.
FU L, ZHANG Y J.Redis DevOps[M]. Beijing: China machine press, 2017: 346-391.
[20] 李子骅, 编著. Redis入门指南(第二版)[M]. 北京: 人民邮电出版社, 2016: 103-127.
LI Z H.Redis Getting Started Guide (2nd Edition)[M]. Beijing: Posts & telecom press, 2016: 103-127.
[21] 张超著. Elasticsearch源码解析与优化实践[M]. 北京: 电子工业出版社, 2019: 316-341.
ZHANG C.Elasticsearch source code analysis and optimization practice[M]. Beijing: Publishing house of electronics industry, 2019: 316-341.
[22] 2020 Elasticsearch b v Elasticsearch reference: 7.9(current)[EB/OL].[2020-05-26]. https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html.
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