Students' technology acceptance increased significantly after taking a MAIC course¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Pre-post comparison showed a significant overall increase in technology acceptance, with significant gains in Habit, Effort Expectancy, and Facilitating Conditions. → Jifan Yu 2024
Evidence¶
Jifan Yu 2024¶
Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Ruimiao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun. (2024). From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. Preprint. Under review. https://arxiv.org/abs/2409.03512 doi:10.48550/arxiv.2409.03512
q2 · i? · design · r2
Pre- and post-course technology acceptance questionnaires in the MAIC pilot. The article reports 'a significant overall increase in technology acceptance (N = 111,t = 3.05,p = 0.002),' with significant improvements in Habit (t = 2.81, p = 0.005), Effort Expectancy (t = 3.98, p < 0.001), and Facilitating Conditions (t = 3.22, p = 0.002).
"The results demonstrated a significant overall increase in technology acceptance (N = 111,t = 3.05,p = 0.002)."
Discussion¶
Related Claims¶
- Students in MAIC tend to prefer the passive continuous mode over interactive mode
- Predicted post-test distributions differed significantly from real distributions in four dimensions, with no significant difference only for Technology Acceptance
- In the MAIC case study, student development agent predictions (Concept and Scales methods) outperformed the mean baseline across all five non-cognitive dimensions on RMSE and MAE — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
technology-acceptance-increased-maic |
title |
Students' technology acceptance increased significantly after taking a MAIC course |
description |
Students' technology acceptance increased significantly after taking a MAIC course |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jifan-yu-2024 |
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