Attitude is the most powerful predictor of behavioral intention to use MALL among higher education learners in Vietnam.¶

Claim · All claims
Evidence · 1 study · associational r2 · q2 · i3 large
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i3 Attitude toward MALL was the strongest predictor of behavioral intention (β = .42). → Vo 2020

Evidence¶

Vo 2020¶

Vo, H. N. (2020). Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach. Computers and Education, 146, Article 103761. doi:10.1016/j.compedu.2019.103761

q2 · i3 · associational · r2

Path analysis of Rasch-calibrated person measures from 293 Vietnamese learners showed attitude predicted behavioral intention ("β = .42"), the strongest path in the model.

"Attitude significantly predicted behavioral intention at p < .001 level (β = .42), while behavioral intention was a significant antecedent to use behavior at p < .01 level (β = .20)."

Discussion¶

Related Claims¶

• Attitude is the strongest predictor of behavioral intention for new users, while perceived usefulness is strongest for light, medium and heavy users — related
• In a Vietnamese EFL sample, all six Meta-UTAUT hypotheses on MALL adoption were accepted with p-values below 0.05 — related
• Attitude, facilitating conditions, and social influence correlate most strongly with behavioral intention, while perceived ease of use correlates weakest — related
• MALL effect sizes show no visible correlation with grade level or sample size — related