Students' Big-Five personality significantly influences their usage of communication tools in a web-based learning system, with 32 of 120 behavioral features significantly affected¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1–r2 · q3
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Multiple linear regression shows all five personality traits significantly affect students' in-class and after-class communication activities (p<0.01 with Bonferroni-type adjustment). → Wen Wu 2019 q3 i? Personality traits significantly affect linguistic, psychological-presence, and task-engagement features of message content, with 22 content features vs 9 activity features significant. → Wen Wu 2019 (2)

Evidence¶

Wen Wu 2019¶

Wen Wu, Li Chen, Qingchang Yang, You Li. (2019). Inferring Students' Personality from Their Communication Behavior in Web-based Learning Systems. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-018-00173-9

q3 · i? · associational · r1

Multiple linear regression with 164 students' TIPI personality scores as predictors and logged communication behaviors as dependent variables, using Bonferroni-type adjustment (p<0.01). The article reports "all of the five personality traits significantly affect students' activities".

"Looking at activity features, the results show that all of the five personality traits significantly affect students' activities carried out both in and after class."

Wen Wu 2019 (2)¶

Wen Wu, Li Chen, Qingchang Yang, You Li. (2019). Inferring Students' Personality from Their Communication Behavior in Web-based Learning Systems. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-018-00173-9

q3 · i? · associational · r2

Summary of the regression analysis over 120 features from 164 students: 32 significant features, comprising 22 content features, 9 activity features, and gender. No effect sizes printed, so impact is null.

"In summary, 32 (out of 120) features are empirically found to be signifi- cantly influenced by students’ personality."

Discussion¶

Learner Variables¶

• Personality Traits — predictor: learners who differ on it differ in outcomes

Related Claims¶

• A LASSO model infers students' Big-Five personality from communication behavior with significantly better accuracy than a mean baseline — related
• Distinct communication-behavior features significantly predict each Big-Five trait, with exclamation marks and after-class activities the strongest Neuroticism predictors — a narrower finding that bears on this claim
• Conscientiousness and Extraversion positively predict chat message posting, while Extraversion positively predicts forum posting — a narrower finding that bears on this claim