A Mobile Teaching Method of Ideological and Political Education in Colleges and Universities Based on Android Platform

被引:0
作者
Peng, Yu [1 ]
Zeng, Yan [2 ]
机构
[1] Wuhan Sports Univ, Sch Marxism, Wuhan 430079, Peoples R China
[2] Wuhan Sports Univ, Sports Technol Coll, Wuhan 430205, Peoples R China
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the advent of mobile Internet technology, mobile teaching platforms have emerged as the times require and are actively applied in the teaching platform, which greatly enhances the effectiveness of teaching. However, many concerns remain in the integrated development of ideological and political education and mobile teaching platforms, such as improving instructors' information literacy and improving classroom-platform coordination. The integration of teaching and platforms is not high, the main role of students is not paid enough attention, and platform functions need to constantly improve the lack of fusion effect evaluation mechanism, etc. In order to address these issues, it is necessary to investigate the integration and development of the two from the perspectives of improving teachers' information literacy, strengthening online and offline interaction, creating a platform with ideological and political characteristics, implementing the "education-oriented" concept, continuously optimizing platform functions, and developing a scientific evaluation mechanism. Only by following the road will we be able to continue to develop their deep integration and, as a result, increase the teaching quality platform.
引用
收藏
页数:8
相关论文
共 34 条
[11]   Performance analysis of local exit for distributed deep neural networks over cloud and edge computing [J].
Lee, Changsik ;
Hong, Seungwoo ;
Hong, Sungback ;
Kim, Taeyeon .
ETRI JOURNAL, 2020, 42 (05) :658-668
[12]   Research on Information System for Teaching Quality Evaluation Model of Business English Translation Based on SVM [J].
Mao, Chunhua .
ADVANCED RESEARCH ON MATERIAL SCIENCE, ENVIROMENT SCIENCE AND COMPUTER SCIENCE III, 2014, 886 :552-555
[13]   Structural health monitoring of bridges: a model-free ANN-based approach to damage detection [J].
Neves, A. C. ;
Gonzalez, I. ;
Leander, J. ;
Karoumi, R. .
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2017, 7 (05) :689-702
[14]   Project-Based Learning Approach for Teaching Mobile Application Development Using Visualization Technology [J].
Nurbekova, Zhanat ;
Grinshkun, Vadim ;
Aimicheva, Gaukhar ;
Nurbekov, Bakyt ;
Tuenbaeva, Kalima .
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2020, 15 (08) :130-143
[15]   A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification [J].
Onan, Aytug ;
Tocoglu, Mansur A. L. P. .
IEEE ACCESS, 2021, 9 :7701-7722
[16]   An ensemble scheme based on language function analysis and feature engineering for text genre classification [J].
Onan, Aytug .
JOURNAL OF INFORMATION SCIENCE, 2018, 44 (01) :28-47
[17]   A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification [J].
Onan, Aytug ;
Korukoglu, Serdar ;
Bulut, Hasan .
EXPERT SYSTEMS WITH APPLICATIONS, 2016, 62 :1-16
[18]   A feature selection model based on genetic rank aggregation for text sentiment classification [J].
Onan, Aytug ;
Korukoglu, Serdar .
JOURNAL OF INFORMATION SCIENCE, 2017, 43 (01) :25-38
[19]   Ensemble of keyword extraction methods and classifiers in text classification [J].
Onan, Aytug ;
Korukoglu, Serdar ;
Bulut, Hasan .
EXPERT SYSTEMS WITH APPLICATIONS, 2016, 57 :232-247
[20]   A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer [J].
Onan, Aytug .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (20) :6844-6852