Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling

Chatterjee, Sheshadri; Bhattacharjee, Kalyan Kumar

doi:10.1007/s10639-020-10159-7

Cited by 267 publications

(161 citation statements)

References 49 publications

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“…They contribute to student learning and offer many possibilities that allow a more personalized and personalized educational advancement for each student. On the other hand, of all the stages offered by the educational system, the field of higher education is the one that best seems to be adapting to these technologies and where the best results are obtained [4,[29][30][31][32][39][40][41]. Especially, in teacher training it is a highly attractive and useful resource because it allows to relate content, develop concepts, establish relationships, correct tasks, tutoring processes supported by virtual assistants, etc.…”

Section: Discussionmentioning

confidence: 99%

Scientific Development of Educational Artificial Intelligence in Web of Science

et al. 2020

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The social and technological changes that society is undergoing in this century are having a global influence on important aspects such as the economy, health and education. An example of this is the inclusion of artificial intelligence in the teaching–learning processes. The objective of this study was to analyze the importance and the projection that artificial intelligence has acquired in the scientific literature in the Web of Science categories related to the field of education. For this, scientific mapping of the reported documents was carried out. Different bibliometric indicators were analyzed and a word analysis was carried out. We worked with an analysis unit of 379 publications. The results show that scientific production is irregular from its beginnings in 1956 to the present. The language of greatest development is English. The most significant publication area is Education Educational Research, with conference papers as document types. The underlying organization is the Open University UK. It can be concluded that there is an evolution in artificial intelligence (AI) research in the educational field, focusing in the last years on the performance and influence of AI in the educational processes.

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Section: Discussionmentioning

confidence: 99%

Scientific Development of Educational Artificial Intelligence in Web of Science

et al. 2020

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“…İlk olarak, yapay zekâ yardımı ile yükseköğretimde öğrenme bireyselleştirilerek öğrencilerin özel ihtiyaçları karşılanabilmektedir (Chatterjee ve Bhattacharjee, 2020). Öğrenciler bireysel ihtiyaçlarına göre uyarlanmış tamamen yeni ve benzersiz bir eğitim yaklaşımı ile eğitim almaktan zevk almaktadır.…”

Section: Yapay Zekâ'nın Yararları Ve Tehditleriunclassified

“…Yapay zekânın öğrencilere, öğretim üyelerine, idari personele ve araştırmacılara ve dolayısıyla yükseköğretimde çok yardımcı olması beklenmektedir (Stefan ve Sharon, 2017). Tüm gelişmiş ve gelişmekte olan ülkelerde, hükümetler eğitim kalitesini artırmak istemektedir (Chatterjee ve Bhattacharjee, 2020). Bunun yapay zekâ gibi modern teknolojiyi benimseyerek başarılabileceği konusunda hemfikirdirler (Cremer ve Bettignies, 2013).…”

Section: Yöneticileri öğRetim üYelerini öğRencileri Ve Yardımcı Perunclassified

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Eğitimde Yeni Bir Paradigma: “Yükseköğretimde Yapay Zekâ”

Taşçi¹,

Çelebi²

2020

OPUS Uluslararası Toplum Araştırmaları Dergisi

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The developments in technology in recent years have deeply affected societies. Artificial intelligence, one of these developments, has also created a revolution in human life. One of the areas that artificial intelligence affects is higher education. Artificial intelligence, which emerged as a result of the digital revolution, is a challenge to higher education. In this respect, how ready are higher education institutions for artificial intelligence? What revolution can artificial intelligence, an output of the digital age, create in higher education institutions? How ready are higher education leaders mentally and strategically for artificial intelligence? What are the ethical limitations of artificial intelligence in higher education? What are the benefits and challenges of artificial intelligence in improving student success, facilitating student enrollment, and better management of higher education resources? questions are a new paradigm in higher education. In the perspective of these questions, this study suggests that artificial intelligence can strengthen universities when used correctly in higher education. However, to realize this thesis, higher education institutions need to reassess and transform themselves in order to continue their mission of research, education and society.Nowadays,many universities strive to devote time and develop themselves to teach their students the skills and knowledge needed to provide the best possible education. Morever, it is especially important for educators and especially higher education leaders and faculty members to understand how artificial intelligence can support educators. In this respect, in this study, questions the role of artificial intelligence in higher education, as well as the applications of artificial intelligence in higher education, and discusses how optimistic institutions of higher education institutions can prepare for future artificial intelligence

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“…e time of theoretical teaching and case teaching is more important and appropriate. Only focusing on theoretical knowledge points will make students feel boring; focusing only on case analysis will make students feel confused and unable to achieve good teaching results [6]. In addition, the language used by teachers in the course of teaching must be contagious, so as to arouse the classroom atmosphere and stimulate students' enthusiasm for participating in case analysis and discussion, so that students will have a collision of ideas in the process of discussion and achieve good teaching results.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Influencing Factors of Teaching Effect Based on Structural Equation Model

2021

Complexity

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Structural equation model is a multivariate statistical analysis method. It can not only test some unpredictable abstract ideas, but also design parameters for the causal connection model between independent variables and dependent variables. Among them, the analysis of various latent variables is based on the verification factor analysis technology. The research first collects various relevant data, derives the latent variables and measurement variables, then composes the measurement model, and then verifies the adaptability of the measurement model structure mode through actual data collection. When such suitable factors are determined, a causal model based on path analysis technology for latent variables, that is, a structural model, can be used for parameter design. This article uses the structural equation model as an analysis tool, starting from the three aspects of teachers, cases, and students to evaluate the application effect of the case teaching method in the classroom teaching of intellectual property law course and construct a structural equation model of the influencing factors of the case teaching effect. To understand students’ satisfaction with case teaching effects and related influencing factors, the research results show that the effect of case teaching is jointly affected by the level of teachers, case selection, and student response. Among them, teacher factors have the greatest impact on case teaching effects, followed by case factors, and students have the least.

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Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling

Cited by 267 publications

References 49 publications

Scientific Development of Educational Artificial Intelligence in Web of Science

Scientific Development of Educational Artificial Intelligence in Web of Science

Eğitimde Yeni Bir Paradigma: “Yükseköğretimde Yapay Zekâ”

Analysis of Influencing Factors of Teaching Effect Based on Structural Equation Model

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