Table 1. VOSviewer-derived key terms and...

Table 1.

VOSviewer-derived key terms and relevance scores in ai education literature

ID	Term	Occurrences	Relevance score
1	AI tool	22	0.4493
2	Artificial intelligence	38	0.5219
3	Assessment	19	0.6795
4	Benefit	17	0.8807
5	Challenge	29	0.6567
6	Chatbot	25	0.6264
7	ChatGPT	74	1.2861
8	Concern	22	0.6836
9	Course	21	0.8823
10	Development	26	0.404
11	Educator	22	0.4625
12	Engineering	29	0.8817
13	Engineering education	16	1.0579
14	Generative AI	19	0.5786
15	Higher education	53	0.73
16	Higher education institution	10	1.2778
17	Impact	20	0.6407
18	Implication	17	0.5034
19	Integration	15	0.4926
20	Large language model	16	3.7942
21	Learning	31	0.4513
22	Limitation	15	1.2291
23	LLM	12	4.737
24	Opportunity	17	0.7784
25	Perception	19	0.8085
26	Teaching	20	0.9415
27	University	24	0.5643

ID	Term	Occurrences	Relevance score
1	AI tool	22	0.4493
2	Artificial intelligence	38	0.5219
3	Assessment	19	0.6795
4	Benefit	17	0.8807
5	Challenge	29	0.6567
6	Chatbot	25	0.6264
7	ChatGPT	74	1.2861
8	Concern	22	0.6836
9	Course	21	0.8823
10	Development	26	0.404
11	Educator	22	0.4625
12	Engineering	29	0.8817
13	Engineering education	16	1.0579
14	Generative AI	19	0.5786
15	Higher education	53	0.73
16	Higher education institution	10	1.2778
17	Impact	20	0.6407
18	Implication	17	0.5034
19	Integration	15	0.4926
20	Large language model	16	3.7942
21	Learning	31	0.4513
22	Limitation	15	1.2291
23	LLM	12	4.737
24	Opportunity	17	0.7784
25	Perception	19	0.8085
26	Teaching	20	0.9415
27	University	24	0.5643

Source(s): Authors’ own work

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