Student online engagement (cognitive, emotional, behavioral) positively predicts learning performance and satisfaction¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Each engagement dimension significantly and positively predicts learning performance and satisfaction, with emotional engagement strongest for satisfaction (β = 0.52). → Hazzam 2023

Evidence¶

Hazzam 2023¶

Hazzam, J., & Wilkins, S. (2023). The influences of lecturer charismatic leadership and technology use on student online engagement, learning performance, and satisfaction. Computers & Education. https://doi.org/10.1016/j.compedu.2023.104809

q3 · i? · associational · r2

SEM path analysis from the same 659-student survey; all six engagement→outcome paths significant. The model explains 41% of variance in learning performance and 63.5% in satisfaction.

"The relationships between student emotional engagement and learning performance (β = 0.36, p < .001) and student satisfaction (β = 0.52, p < .001) indicate significant and positive loading paths, supporting H3b and H4b."

Discussion¶

Related Claims¶

• Lecturer charismatic leadership is positively related to student online cognitive, emotional, and behavioral engagement — related
• Emotional engagement is the strongest predictor of motivation, especially need-based motivations — related
• In agentic AI-supported online learning, perceived autonomy, competence, and relatedness are each positively associated with learning motivation — related
• The comprehensive psychological need satisfaction configuration (competence core) has the highest coverage for high learning engagement, with GAI use unconstrained — related