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Research Article

Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach

ORCID Icon &
Article: 2261730 | Received 07 Feb 2023, Accepted 12 Sep 2023, Published online: 18 Oct 2023

Figures & data

Figure 1. PRISMA flowchart (adapted from Page et al. Citation2021).

Figure 1. PRISMA flowchart (adapted from Page et al. Citation2021).

Table 1. Analysis by document Type.

Figure 2. Publication and citation trends.

Figure 2. Publication and citation trends.

Table 2. Geographical location of studies.

Table 3. Top 12 publishers.

Figure 3. Word cloud for AI application in HE.

Figure 3. Word cloud for AI application in HE.

Figure 4. Topic modelling analysis for AI application in HE using LDA.

Figure 4. Topic modelling analysis for AI application in HE using LDA.

Table 4. Ten Most frequent words per topic.

Figure 5. Keyword co-occurrence map of high-frequency terms in titles and abstracts.

Figure 5. Keyword co-occurrence map of high-frequency terms in titles and abstracts.

Figure 6. Keyword density map of high-frequency terms in titles and abstracts.

Figure 6. Keyword density map of high-frequency terms in titles and abstracts.