The purpose of this study is to explore how to use deep learning technology to improve the recommendation effect of generative resources in mixed teaching of government accounting. Aiming at the limitations of traditi...
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Generative Artificial Intelligence (GenAI) is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, the use of GenAI in education raises ethical conc...
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The influence of advanced technologies, especially artificial intelligence (AI), on the higher education sector is considerable and cannot be overlooked. It has been found out that this technology is beneficial both f...
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Currently, the traditional teaching methodology used in educational centers is not effectively adapted to the current technological era, which can lead to poor academic performance of students, especially in the subje...
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This article presents a case study of our process in Smart Education. This is a case of detecting driver smoking behavior, in which intelligent image processing technology was used. Let students know how to conduct ac...
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In contemporary times, the traditional computer wireless network teaching system is faced with difficulties such as backwardness and limitations, such as the lack of personalized recommendation and the lack of classro...
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In recent years, driven by the new generation of artificial intelligence technology, emotional computing has garnered significant attention and achieved substantial progress. Multimodal emotional computing based on te...
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In our study, we present a research that examined the correlation between first-year and graduate teacher training students' career image, teaching intention and pedagogical potential. Our goal was to assess the c...
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ISBN:
(纸本)9783031533815;9783031533822
In our study, we present a research that examined the correlation between first-year and graduate teacher training students' career image, teaching intention and pedagogical potential. Our goal was to assess the changes that occurred over the three years, from the beginning of the studies to the graduation, in the attitudes and intentions of engineering students, who, at the beginning of their higher education enrolled in teacher training in addition to their undergraduate studies. We examined whether, according to their judgment, there are any changes in their views regarding the teaching career and in the evaluation of their own teaching skills. The survey was conducted in two academic years: in the 2020/2021 academic year first-year students, while in the 2022/2023 academic year graduate students participated in the survey. The comparison was made on a sample of students from the Sapientia Hungarian University ofTransylvania Teacher Training Institute. The components of the self-edited questionnaire are: socio-demographic questions, characteristics of the teaching career, qualities of an effective teacher, assessment of the importance of teaching, the teacher's self-image. Students filled out the questionnaire on Google Forms.
This paper introduces OBL-AHO, an enhanced Archerfish Hunting Optimizer (AHO) variant that integrates Opposition-Based learning (OBL) to improve AHO's exploratory capabilities. By leveraging opposite solutions alo...
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The blended synchronous classroom (BSC) is an important form to promote the equity of urban and rural education. Compared with the traditional single-teacher classroom, the interaction has the characteristics of multi...
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ISBN:
(纸本)9789819744411;9789819744428
The blended synchronous classroom (BSC) is an important form to promote the equity of urban and rural education. Compared with the traditional single-teacher classroom, the interaction has the characteristics of multi-objects in BSC. The teacher-student dialogue directly influences the teaching effectiveness of such classrooms. However, most existing research focuses on counting the frequency of teacher-student interaction, in similar teaching activities, which might overlook the quality and depth of teacher-student dialogue. To fill this gap, this research uses a variety of learning analytics and data mining methods (e.g., lag sequence analysis, social network analysis and K-means) to detect fine-grained attributes of transitions of teacher-student dialogue in 40 BSC lessons, based on Bloom's taxonomy of educational objectives theory. The results show two kinds of classroom dialogue characteristics, as well as the transformation characteristics of questioning behaviors and the key questioning behaviors. This research deepens the understanding of the diversity of teacher-student dialogue and offers practical implications for improving the quality of classroom dialogue in BSC.
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