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Good practice Imported

A Validated AI-Literacy Scale and Professional-Development Programme for Pre-Service Teachers in the West Bank

Palestine, State of · Tulkarm · See the Palestine, State of profile

Evidence: Observational / pre–post Top 40% 53/100 · Ask Evidence Copilot about this practice

A professional-development programme for 37 pre-service teachers at Palestine Technical University Kadoorie and Hebron University used a validated AI-literacy scale and found significant pretest-to-posttest gains, with no differential effect by gender or specialty (2024).

37
Pre-service teachers in the study (2023-2024)

Details

Maturity
Pilot
Promoter
Palestine Technical University Kadoorie
Period
2023-2024
Keywords
higher education, teacher training, AI literacy

Context

Researchers at Palestine Technical University Kadoorie in Tulkarm and Hebron University developed a professional-development programme to address a documented AI-literacy gap among pre-service teachers preparing to enter West Bank classrooms.

Objectives

The team aimed to build and validate a dedicated AI-literacy scale and use it to test whether a professional-development programme improves pre-service teachers' AI literacy, and whether gains differ by gender or specialty.

Activities

After validating the AI-literacy scale, the team ran a one-group pretest-posttest design with 37 undergraduate pre-service teachers from both universities, measuring literacy before and after training.

Results

AI-literacy scores rose significantly after the programme, with no significant difference in the size of the gain by gender or specialty area.

Conclusions

The study demonstrates a validated measurement tool and a promising training design, but the absence of a control group and the small, single-cohort sample limit causal attribution and generalisation beyond these two institutions.

Implementation
Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
researchers and faculty at Palestine Technical University Kadoorie and Hebron University

Conditions for success

  • a validated, purpose-built AI-literacy measurement scale
  • grounding in an instructional-design framework

Common failure modes

  • no control group, so attribution to the programme rather than general improvement cannot be confirmed
  • single-cohort sample (n=37) limits generalisation beyond the two institutions

Where it fits

Governance type
university-led academic research programme
Scale
two partner universities, single cohort
Income level
lower-middle income

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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