Table 2.

Studies that report variables that might impact on student motivation.

Author(s)	Variable - predictor (feature, aspect, trait, etc.)	Impact on student motivation
Ferrer et al., 2013	Usability	Despite the usability issues in mobile AR, student motivation can be improved.
Huang and Liaw, 2014	Immersion and interaction	Immersion and interactivity features are predictors of student motivation, but immersion is a stronger predictor.
Chen and Liao, 2015	Type of AR content (static and dynamic) Type of guiding strategies (procedure-guided or question-guided)	Learners in the static-AR and the procedure-guided strategy outperformed those learners in the dynamic-AR and the question-guided strategy in the dimension of intrinsic goal orientation
Chen and Wang, 2015	Learning styles	Learning styles do not affect learning motivation in mobile AR instruction.
Gopalan et al., 2016	Engagement Enjoyment Fun Ease of use	Engagement, Enjoyment and Fun were significant predictors of student motivation. Ease of use was not a predictor of motivation.