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A. Ahmed

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Review Open access Aug 2026

Community ‌Stakeholder ‌Perceptions ‌of Market-Aligned Technical and Vocational Education and Training (TVET): Implications for Skills Development and Labour Market Alignment in Mombasa County, Kenya

Across policy and practice, Technical and Vocational Education and Training (TVET) is increasingly treated as a practical route for tackling youth unemployment, narrowing skills gaps, and advancing sustainable socio-economic progress. Yet, even with wide-ranging reforms in Kenya’s TVET landscape, empirical work that ca...

A. Ahmed, W. Kingi · 0 citations
Open access Jul 2026

Student ‌Experience ‌and ‌Programme Quality as Determinants of Student Satisfaction and Employability in Technical and Vocational Education and Training Institutions: Evidence from the Technical University of Mombasa, Kenya

Technical and Vocational Education and Training (TVET) is widely regarded as a core mechanism for building a skilled labour force that can sustain industrial expansion, innovation, and long-term economic development. In Kenya, reform efforts continue, yet there remains limited empirical work showing how multiple aspect...

A. Ahmed, W. Kingi · 0 citations
Open access Jul 2026

Building ‌a ‌Transformer-Based ‌Neural Machine Translation System for English–Kibajuni Translation: A Low-Resource Deep Learning Approach for Indigenous Language Preservation

The design, construction, and assessment of a compact Transformer-based Neural Machine Translation (NMT) system for English–Kibajuni translation suggest that appropriately scaled Transformer models, paired with subword tokenization and carefully tuned training procedures, can materially advance digital inclusion and la...

A. Ahmed, W. Bana, Mathew M. Egessa et al. · 0 citations

Building a Transformer-Based Neural Machine Translation System for English–Kibajuni Translation: A Low-Resource Deep Learning Approach for Indigenous Language Preservation

The design, construction, and assessment of a compact Transformer-based Neural Machine Translation (NMT) system for English–Kibajuni translation suggest that appropriately scaled Transformer models, paired with subword tokenization and carefully tuned training procedures, can materially advance digital inclusion and la...

A. Ahmed, W. Bana, Mathew M. Egessa et al. · 0 citations

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