AI in Pakistani Schools: Adoption, Usage, and Perceived Impact among Educators

• URL: http://arxiv.org/abs/2509.25293v1
• Date: Mon, 29 Sep 2025 15:20:01 GMT
• Title: AI in Pakistani Schools: Adoption, Usage, and Perceived Impact among Educators
• Authors: Syed Hassan Raza, Azib Farooq,
• Abstract summary: Two-thirds of teachers expressed willingness to adopt AI tools given proper support.<n>One-third of respondents actively use AI tools frequently, others remain occasional users.<n>Teachers reported moderate improvements in student engagement and efficiency due to AI.
• Score: 0.8594140167290097
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial Intelligence (AI) is increasingly permeating classrooms worldwide, yet its adoption in schools of developing countries remains under-explored. This paper investigates AI adoption, usage patterns, and perceived impact in Pakistani K-12 schools based on a survey of 125 educators. The questionnaire covered educator's familiarity with AI, frequency and modes of use, and attitudes toward AI's benefits and challenges. Results reveal a generally positive disposition towards AI: over two-thirds of teachers expressed willingness to adopt AI tools given proper support and many have begun integrating AI for lesson planning and content creation. However, AI usage is uneven - while about one-third of respondents actively use AI tools frequently, others remain occasional users. Content generation emerged as the most common AI application, whereas AI-driven grading and feedback are rarely used. Teachers reported moderate improvements in student engagement and efficiency due to AI, but also voiced concerns about equitable access. These findings highlight both the enthusiasm for AI's potential in Pakistan's schools and the need for training and infrastructure to ensure inclusive and effective implementation.

Related papers

• Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study [10.71612026319996]
  This study analyzed 315 student-AI conversations during a brief, quiz-based scenario across various STEM courses.<n>Students exhibited overall low reliance on AI and many of them could not effectively use AI for learning.<n>Certain behavioral metrics strongly predicted AI reliance, highlighting potential behavioral mechanisms to explain AI adoption.
  arXiv  Detail & Related papers  (2025-08-27T20:00:27Z)
• Teacher training in the age of AI: Impact on AI Literacy and Teachers' Attitudes [0.0]
  This study evaluates the impact of an online teacher training program on German in-service teachers' AI literacy, usage behaviors, and attitudes toward AI.<n>The participants exhibited notable improvements across all domains.
  arXiv  Detail & Related papers  (2025-07-02T11:09:47Z)
• Artificial Intelligence in Pronunciation Teaching: Use and Beliefs of Foreign Language Teachers [0.0]
  The study involved 117 English as a Foreign Language (EFL) in-service teachers working in Cyprus.<n>Teachers were significantly more likely to agree on the perceived effectiveness of AI and their willingness to adopt it.<n>Teachers who utilized AI more often expressed stronger agreement with its effectiveness.
  arXiv  Detail & Related papers  (2025-03-06T06:14:27Z)
• Navigating the Future of Education: Educators' Insights on AI Integration and Challenges in Greece, Hungary, Latvia, Ireland and Armenia [1.7205106391379026]
  This paper aims to explore how teachers currently use AI and how it can enhance the educational process. We conducted a cross-national study spanning Greece, Hungary, Latvia, Ireland, and Armenia, surveying 1754 educators.
  arXiv  Detail & Related papers  (2024-08-28T10:22:05Z)
• Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits [54.648819983899614]
  General purpose AI seems to have lowered the barriers for the public to use AI and harness its power. We introduce PARTICIP-AI, a framework for laypeople to speculate and assess AI use cases and their impacts.
  arXiv  Detail & Related papers  (2024-03-21T19:12:37Z)
• Assigning AI: Seven Approaches for Students, with Prompts [0.0]
  This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools. The authors propose seven approaches for utilizing AI in classrooms: AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student.
  arXiv  Detail & Related papers  (2023-06-13T03:36:36Z)
• Fairness in AI and Its Long-Term Implications on Society [68.8204255655161]
  We take a closer look at AI fairness and analyze how lack of AI fairness can lead to deepening of biases over time. We discuss how biased models can lead to more negative real-world outcomes for certain groups. If the issues persist, they could be reinforced by interactions with other risks and have severe implications on society in the form of social unrest.
  arXiv  Detail & Related papers  (2023-04-16T11:22:59Z)
• An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates [53.04281982845422]
  We present an experience report of teaching an AI course to business executives in the United Arab Emirates (UAE) Rather than focusing only on theoretical and technical aspects, we developed a course that teaches AI with a view to enabling students to understand how to incorporate it into existing business processes.
  arXiv  Detail & Related papers  (2022-02-02T20:59:53Z)
• Cybertrust: From Explainable to Actionable and Interpretable AI (AI2) [58.981120701284816]
  Actionable and Interpretable AI (AI2) will incorporate explicit quantifications and visualizations of user confidence in AI recommendations. It will allow examining and testing of AI system predictions to establish a basis for trust in the systems' decision making.
  arXiv  Detail & Related papers  (2022-01-26T18:53:09Z)
• Trustworthy AI: A Computational Perspective [54.80482955088197]
  We focus on six of the most crucial dimensions in achieving trustworthy AI: (i) Safety & Robustness, (ii) Non-discrimination & Fairness, (iii) Explainability, (iv) Privacy, (v) Accountability & Auditability, and (vi) Environmental Well-Being. For each dimension, we review the recent related technologies according to a taxonomy and summarize their applications in real-world systems.
  arXiv  Detail & Related papers  (2021-07-12T14:21:46Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.