University academics’ perceptions regarding the future use of telepresence robots to enhance virtual transnational education: an exploratory investigation in a developing country

Smart Learning Environments

Table 2 Summary of participants’ demographic and professional characteristics

Variable	Values	N	% (of total)
Gender	Male	25	54.35
Gender	Female	21	45.65
Age	> 50 years	17	36.96
	40–50 years	13	28.26
	< 40 years	16	34.78
Faculty rank	Lecturer	16	34.78
	Associate Professor	19	41.30
	Professor	11	23.91
Faculty	Engineering	10	21.47
	Medicine	9	19.57
	Computer Science	9	19.57
	Education	10	21.47
	Science	8	17.39
Years of university teaching experience	> 10 years	11	23.91
	5–10 years	19	41.30
	< 5 years	16	34.78
Years of using technology in teaching	> 10 years	0	0
	5–10 years	15	32.61
	< 5 years	31	67.39
Preferred teaching methodology	Flexible teaching activities that (combination of teacher-directed and platform-directed instruction)	7	15.22
	Mixture of teacher-centered and student-centered activities	31	67.39
	Teacher-directed activities	3	6.52
	Student-centered activities	5	10.87