arbiter
JournalsPricingAccount

Investigating the effects of generative Artificial Intelligence on student satisfaction and self-efficacy

Todd C. Haderlie et al.

Marketing Education Review2025https://doi.org/10.1080/10528008.2025.2576159article
AJG 1ABDC C
Weight
0.41

What the paper says

No abstract available.

2 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1080/10528008.2025.2576159

Or copy a formatted citation

@article{todd2025,
  title        = {{Investigating the effects of generative Artificial Intelligence on student satisfaction and self-efficacy}},
  author       = {Todd C. Haderlie et al.},
  journal      = {Marketing Education Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/10528008.2025.2576159},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Investigating the effects of generative Artificial Intelligence on student satisfaction and self-efficacy

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.