Hope, Aspirations, and the Impact of LLMs on Female Programming Learners in Afghanistan
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arXiv
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| Format: | Preprint |
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2025
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| author | Behmanush, Hamayoon Akhtari, Freshta Nooripour, Roghieh Weber, Ingmar Cannanure, Vikram Kamath |
| author_facet | Behmanush, Hamayoon Akhtari, Freshta Nooripour, Roghieh Weber, Ingmar Cannanure, Vikram Kamath |
| contents | Designing impactful educational technologies in contexts of socio-political instability requires a nuanced understanding of educational aspirations. Currently, scalable metrics for measuring aspirations are limited. This study adapts, translates, and evaluates Snyder's Hope Scale as a metric for measuring aspirations among 136 women learning programming online during a period of systemic educational restrictions in Afghanistan. The adapted scale demonstrated good reliability (Cronbach's α = 0.78) and participants rated it as understandable and relevant. While overall aspiration-related scores did not differ significantly by access to Large Language Models (LLMs), those with access reported marginally higher scores on the Avenues subscale (p = .056), suggesting broader perceived pathways to achieving educational aspirations. These findings support the use of the adapted scale as a metric for aspirations in contexts of socio-political instability. More broadly, the adapted scale can be used to evaluate the impact of aspiration-driven design of educational technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_08630 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hope, Aspirations, and the Impact of LLMs on Female Programming Learners in Afghanistan Behmanush, Hamayoon Akhtari, Freshta Nooripour, Roghieh Weber, Ingmar Cannanure, Vikram Kamath Computers and Society Artificial Intelligence Human-Computer Interaction Designing impactful educational technologies in contexts of socio-political instability requires a nuanced understanding of educational aspirations. Currently, scalable metrics for measuring aspirations are limited. This study adapts, translates, and evaluates Snyder's Hope Scale as a metric for measuring aspirations among 136 women learning programming online during a period of systemic educational restrictions in Afghanistan. The adapted scale demonstrated good reliability (Cronbach's α = 0.78) and participants rated it as understandable and relevant. While overall aspiration-related scores did not differ significantly by access to Large Language Models (LLMs), those with access reported marginally higher scores on the Avenues subscale (p = .056), suggesting broader perceived pathways to achieving educational aspirations. These findings support the use of the adapted scale as a metric for aspirations in contexts of socio-political instability. More broadly, the adapted scale can be used to evaluate the impact of aspiration-driven design of educational technologies. |
| title | Hope, Aspirations, and the Impact of LLMs on Female Programming Learners in Afghanistan |
| topic | Computers and Society Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2511.08630 |