PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
May 6, 2026Education + Training

Effectiveness of an AI-based virtual mentorship model on technical competency development in university-level woodwork technology education in Nigeria

View Full Paper
Ask AI
Bookmark
Share

Authors

AOArinzechukwu Victor OkanyaOAOnyekachi Kevin Attah

Discussion

Loading...

Member takes

Overview

Quasi-experimental study shows significant skill acquisition in woodworking students through AI mentorship, suggesting a need for curriculum reform.

Key Points

  • This research investigates the impact of an AI-based virtual mentorship model on technical competency in woodworking education.
  • Quasi-experimental design with pre-test and post-test assessments
  • Involves 130 first-year students from two Nigerian universities
  • Experimental group received AI mentorship while control group used traditional methods
  • Technical competencies assessed using specific woodworking assessment scale
  • Data analyzed with mean and t-test methods.
  • Significant improvement in technical competency for the experimental group (t(128) = 15.28, p < 0.001)
  • AI model positively influenced precision measurement, safety compliance, and joinery techniques
  • Findings support AI applications in vocational education to develop practical skills.

Cite This Study

Okanya et al. (2026) studied this question.

synapsesocial.com/papers/69faa25e04f884e66b533060https://doi.org/10.1108/et-01-2026-0043
View Full Paper
Ask AI
Bookmark
Share