Exploring Intelligent Teaching for Teachers of Ideology and Politics in the Context of Artificial Intelligence

Tian, Xianghui

doi:10.1155/2022/7423038

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Many of the published studies found were discipline-specific in nature and highlighted the differing challenges and implications of GenAI and the diverse range of bespoke recommendations of how these concerns may be addressed. Such publications proceeded from educational studies in the areas of Chemistry (Emenike & Emenike, 2023), Computer Science (Hurlburt & Reisman, 2023), Ideology and Politics (Tian, 2022), Inclusive Learning (Gupta & Chen, 2022), Law (Quezada Castro et al, 2022), Management (Lim et al, 2023), Medicine (Khan et al, 2023), Nursing (Archibald & Clark, 2023;Choi et al, 2022), Science Education (Cooper, 2023;Costello, 2023), and Social Work (Hodgson et al, 2022). After thorough review of these, common affordances amongst these studies include personalised student learning enablement, enhanced accessibility, and workload optimization for lecturers.…”

Section: Implications Of Genai For He Instructionmentioning

confidence: 99%

A Systematic Review of Generative AI and (English Medium Instruction) Higher Education

Bannister,

Santamaría-Urbieta,

Alcalde-Peñalver

2023

AULA_ABIERTA

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This systematic review investigates the current state of research on Generative Artificial Intelligence (GenAI) and its implications for (EMI) Higher Education. The study employs a methodology based on an evidence-informed and theoretically credible framework to answer two research questions: (1) What studies of relevance to (EMI) Higher Education have been published thus far, considering the most recent developments of GenAI? and (2) Which key areas are currently lacking in extant literature and in need of further scholarly exploration in this regard in (EMI) Higher Education research? The results of the study reveal a limited number of pertinent publications, indicating a sparse scholarly landscape with a dearth of work on the implications of Generative AI in EMI Higher Education. Based on these findings, preliminary recommendations have been made to guide future research in this area. This study contributes to the literature by highlighting the need for further research on the potential of GenAI to enhance the teaching and learning experience in (EMI) Higher Education and provides a theoretical framework to guide future research. These findings may inform researchers and educators interested in exploring how GenAI may be leveraged from different educational perspectives.

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Section: Implications Of Genai For He Instructionmentioning

confidence: 99%

A Systematic Review of Generative AI and (English Medium Instruction) Higher Education

Bannister,

Santamaría-Urbieta,

Alcalde-Peñalver

2023

AULA_ABIERTA

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“…First of all, the main content of the current early warning mechanism for ideological and political education in colleges and universities should be clarified. In the current academic research, the various organic components of the early warning mechanism are basically the following three parts: information collection mechanism, information analysis mechanism and communication and feedback mechanism [30][31].…”

Section: Early Warning Mechanism Of Ideological and Political Educati...mentioning

confidence: 99%

Integration Development of Civic Education and Student Management in Colleges and Universities Based on Combining Data Fusion Model in the Context of Exquisite Parenting

Jing

2023

Applied Mathematics and Nonlinear Sciences

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This paper focuses on the design of an educational early warning mechanism based on the fusion of ideological education and multi-featured data so as to manage the educational situation of students in colleges and universities efficiently and accurately. In this paper, the wavelet transform, discrete Fourier transform, and lag sequence analysis algorithms are used to effectively extract temporal features of students’ behaviors. PageRank and Hit’s algorithms are employed to extract features related to student concept maps. The emotional tendencies recognition interface provided by Tencent Cloud was used to obtain the emotional features of students’ speeches. Following this, a multi-feature fusion was performed to depict the students’ learning. A Hive-based data warehouse is used to integrate heterogeneous data from multiple sources. Finally, the education early warning model based on multi-feature data fusion is introduced, and the operation mechanism of early warning mechanism for ideological and political education in colleges and universities is established. To verify the effect of this paper’s model against other algorithms, this paper’s model achieves the optimal performance in the F1 score in negative samples, which is 0.91, followed by the TPA-LSTM algorithm, which is 0.88. Before the optimization of the early warning mechanism, the average per capita absenteeism of the students was 1.32 sessions, and the rate of disciplinary actions was 0.0291. At the end of the academic year, the average per capita absence rate decreases to 1.24 sessions, and the disciplinary action rate decreases to 0.0245.

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“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

mentioning

confidence: 99%

Retracted: Exploring Intelligent Teaching for Teachers of Ideology and Politics in the Context of Artificial Intelligence

Computing¹

2023

Wireless Communications and Mobile Computing

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Exploring Intelligent Teaching for Teachers of Ideology and Politics in the Context of Artificial Intelligence

Cited by 4 publications

References 22 publications

A Systematic Review of Generative AI and (English Medium Instruction) Higher Education

A Systematic Review of Generative AI and (English Medium Instruction) Higher Education

Integration Development of Civic Education and Student Management in Colleges and Universities Based on Combining Data Fusion Model in the Context of Exquisite Parenting

Retracted: Exploring Intelligent Teaching for Teachers of Ideology and Politics in the Context of Artificial Intelligence

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