Construction and Implementation of Blended Teaching Ecology Based on Cloud Class

Zheng, Yanyan; Chen, Ying

doi:10.1109/csei50228.2020.9142492

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…The traditional offline teaching mode can no longer satisfy everyone’s thirst for knowledge. The common strong rise of new media communication channels and new portable devices makes everyone’s learning more convenient and efficient ( Zheng & Chen, 2020 ). Under the influence of COVID-19, the proportion of online teaching has gradually increased in the past two years, and the teaching method has gradually changed from a pure offline teaching method to a combination of the two, and the proportion of online courses has gradually increased ( Liu & Zhang, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network

Chen,

Aleem

2024

PeerJ Computer Science

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To maintain a harmonious teacher-student relationship and enable educators to gain a more insightful understanding of students’ learning progress, this study collects data from learners utilizing the software through a network platform. These data are mainly formed by the user’s learning characteristics, combined with the screen lighting time, built-in inertial sensor attitude, signal strength, network strength and other multi-dimensional characteristics to form the learning observation value, so as to analyze the corresponding learning state, so that teachers can carry out targeted teaching improvement. The article introduces an intelligent classification approach for learning time series, leveraging long short-term memory (LSTM) as the foundation of a deep network model. This model intelligently recognizes the learning status of students. The test results demonstrate that the proposed model achieves highly precise time series recognition using relatively straightforward features. This precision, exceeding 95%, is of significant importance for future applications in learning state recognition, aiding teachers in gaining an intelligent grasp of students’ learning status.

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Section: Introductionmentioning

confidence: 99%

A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network

Chen,

Aleem

2024

PeerJ Computer Science

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“…The current online system has no good monitoring mechanism, reasonable feedback and the student feel. Therefore, the innovated blended teaching design should be ecological and organic combination, and based on the FLIP terms of flexible, learning culture, intentional and professional educator [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Towards Implementation of Blended Teaching Approaches for Higher Education in Myanmar

Khine¹,

Win²,

Naing³

2021

IJEME

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Blended teaching strategy becomes an integral part of the 21st-century education system to meet the industry 4.0 needs. As not only the online system can create the best system from the points of view of effectiveness and expending cost, but also the traditional teaching style cannot meet the higher level of industry needs. Therefore, the combination of the advancement of technology and the effective design of teaching theory appears in different blended systems to promote education level. This system also proposes a new model to initiate the teaching style that can supplement the requirements of this education era based on FLIP learning terms. The system is built by blending the online and face-to-face strategies using communication technology and multimedia components at pre-class, online test, and in-class times based on stakeholders' satisfaction with the system. The outcome intends to build an effective education system that facilitates the developing country, the Myanmar situation. Moreover, the research methodology goal includes improving the problem-solving ability and performance results of the university students and to increase the self-reflection of all participants.

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“…(Zhang et al, 2019). This resulted from the fact that online instructional management could decrease the constraints of time, learning areas and teaching resources, and could widen learners' interests (Zheng and Chen, 2020). With the rapid development of digital technology, educational institutes could effectively apply important policies and tasks with educational reform and online instruction.…”

Section: Introductionmentioning

confidence: 99%

Technology acceptance of online instruction for vocational instructors in new normal education

Wannapiroon¹,

Nilsook²,

Jitsupa³

et al. 2021

WJET

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This research aimed to: develop a model for vocational instructors’ acceptance of online instruction after they had arranged online instruction for one year; and investigate the consistency of this model using the empirical evidence gained from 1,818 vocational instructors from five regions in Thailand: the Northern Region, the Northeastern Region, the Central Region, the Eastern Region and Bangkok, and the Southern Region. The research instrument used to collect the data was a questionnaire on the vocational instructors’ acceptance of online instruction. The data were analysed using construct validity and the consistency of the causal relationship model. The research findings revealed that social distancing during the COVID-19 pandemic resulted in the vocational instructors’ adjusted attitudes towards online instruction for the better. This adjustment directly affected some changes in the instructors’ behaviour in physical classroom instruction to online instruction in the following period. Keywords: online learning, technology acceptance model, vocational education and training

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Construction and Implementation of Blended Teaching Ecology Based on Cloud Class

Cited by 4 publications

References 8 publications

A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network

A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network

Towards Implementation of Blended Teaching Approaches for Higher Education in Myanmar

Technology acceptance of online instruction for vocational instructors in new normal education

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