arbiter
JournalsPricingAccount

From technology to pedagogy: determinants of university faculty’s pedagogically relevant use of generative AI

Nazir Ahmed Jogezai et al.

Quality Assurance in Education2025https://doi.org/10.1108/qae-12-2024-0255article
AJG 1
Weight
0.41

What the paper says

Purpose This study aims to explain the factors associated with university faculty’s use of pedagogically relevant (PR) generative artificial intelligence (GAI). These included AI literacy (AIL), organizational guidelines (OG), previous experience (PE) of using artificial intelligence (AI) and frequent interaction (FI) with GAI. Design/methodology/approach The study used a cross-sectional quantitative approach and collected data from 650 university faculty members. The data was analyzed using a variance-based approach known as partial least squares structural equation modeling with SmartPLS4 software. Findings The results revealed that AIL has a significant effect on PR, while OG, PE and FI have a non-significant effect in this regard. OG and PE have a significant impact on AIL. The effect of PE on FI is also significant, while FI has a non-significant effect on AIL. Research limitations/implications The study has implications for the broader educational system, university administration and faculty professional development programs and organizational-level support such as developing guidelines. The study’s scope was limited to faculty’s responses. Future research should study the opinions of educational leaders, such as deans and vice chancellors, regarding organizational-level guidelines for faculty’s pedagogical use of GAI. Originality/value The results show that faculty can use GAI in a way that is useful for pedagogical purposes and student learning. They can enhance their own efficacy by learning how to use GAI and understanding how to adhere to AI-related rules and procedures.

2 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1108/qae-12-2024-0255

Or copy a formatted citation

@article{nazir2025,
  title        = {{From technology to pedagogy: determinants of university faculty’s pedagogically relevant use of generative AI}},
  author       = {Nazir Ahmed Jogezai et al.},
  journal      = {Quality Assurance in Education},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/qae-12-2024-0255},
}

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

Flag this paper

From technology to pedagogy: determinants of university faculty’s pedagogically relevant use of generative AI

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.