educational-leadership
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- PaperEdArXiv (OSF Preprints)17 Jul 2026
Introducing Human Readiness for AI in Education: A New Theoretical Framework for School Transformation
Dr NIRMALA KRISHNAN
This paper introduces the Human Readiness for AI in Education framework, which argues that the success of AI implementation in schools depends more on the readiness of people (shared purpose, professional capability, relational trust, collective judgement, adaptive growth) than on the technology itself. Synthesizing organizational readiness theory, technology-acceptance research, and sociotechnical systems, the framework positions human readiness as a multidimensional organizational capacity that determines whether AI amplifies or degrades educational practice. The paper presents core propositions, boundary conditions, and a research agenda for testing the construct.
Original abstract
Three decades of large-scale technology investment in schools from one-to-one laptop programmes to interactive whiteboards to, most recently, artificial intelligence (AI) has produced a consistent pattern: substantial capital expenditure paired with modest, uneven, or absent instructional change. Prevailing accounts of this pattern locate the explanation in the technology itself its cost, its usability, its alignment with curriculum and prescribe better tools, more training, or clearer policy as the remedy. This paper argues that the explanation lies elsewhere. Synthesizing organizational readiness theory, technology-acceptance research, and the sociotechnical-systems tradition with an emerging body of evidence on AI adoption in K–12 settings, the paper introduces Human Readiness for AI in Education as a conceptual framework in which the decisive variable in AI-implementation outcomes is not the technology adopted but the readiness of the people asked to adopt it. Human readiness is proposed as a multidimensional organizational capacity spanning shared purpose, professional capability, relational trust, collective judgement, and adaptive growth that determines whether a given technology amplifies or degrades educational practice. The paper positions this construct against established adoption theories, states its core propositions and boundary conditions, and specifies the evidence that would validate or falsify it. It closes with a research agenda through which the construct can be tested. Consistent with the norms of theory-building scholarship, this paper offers a conceptual foundation, not a validated instrument or an implementation methodology. Keywords: human readiness; artificial intelligence in education; technology adoption; educational leadership; organisational readiness for change; school transformation
- NewsEdSurge13 Jul 2026
Study: The National AI Policy Landscape in K–12 Education
A study analyzing AI policies across 122 US school districts found that most are reactive, with nearly 30% restricting or prohibiting AI use and only a small fraction taking a proactive leadership approach. The dominant stance is conditional permission and teacher-delegated decision-making, reflecting uncertainty rather than confident integration.
Original abstract
<p>In the span of just two years, artificial intelligence has moved from an emerging curiosity to an operational reality in American K–12 classrooms. Students are using it to draft essays and build interactive study apps. Teachers are using it to generate lesson plans, differentiate instruction and develop assignments. Administrators are using it to summarize data, create chatbots and organize teams. And most school districts are scrambling to update or create policies that reflect the ever-changing world of AI. But what does an AI policy landscape look like? How many districts have formal AI policies at all? What do those policies say? And what does the distribution of approaches reveal about the state of readiness, equity and strategic thinking in K–12 education? To answer those questions, we built the<a href="https://policy.aiandeducationstudio.com/"> <u>AI School Policy Database</u></a> by using a five-level AI policy continuum to code 122 districts and schools across 38 states and then analyzed the results. What we found is a snapshot of a field that is neither panicking nor confidently leading: it is waiting, watching and managing uncertainty one teacher-directed decision at a time.</p><h2>What This Snapshot Tells Us</h2><p>The dataset does not capture every district/school in America; it is a structured sample. But the patterns it reveals are consistent and interpretable. Taken together, they point in the same direction.</p><ul><li><p><strong>Most districts/schools are reactive. </strong>The dominant posture is conditional permission, teacher-delegated decision-making and a wait-and-see attitude toward systemic AI integration.</p></li><li><p><strong>Some districts/schools are still trying to stop the clock. </strong>Nearly 30% are actively restricting or prohibiting AI use, an approach that is increasingly difficult to sustain as student access to AI tools extends far beyond school networks.</p></li><li><p><strong>Only a small fraction is daring to lead.</str
- PaperComputers & Education1 Jul 2026
Artificial Intelligence in Educational Leadership: A PRISMA-Guided Bibliometric Review and Agenda for Future Research
Chuan-Chung Hsieh, Hope Wilfred Banda, Hui‐Chieh Li
This study uses PRISMA guidelines to conduct a bibliometric review of AI in educational leadership, mapping current research and proposing a future research agenda.
- NewsLanguage Magazine26 Jun 2026
Learning to Lead Dual Language Bilingual Education
The article calls on educational leaders to adapt and learn in real time to ensure that dual language bilingual education (DLBE) fulfills its potential for all students.
Original abstract
Elena Izquierdo, José Medina, Vanessa Espitia, and Sarah De La Garza call on leaders to learn in real time so that dual language bilingual education delivers its promise to all students For decades, bilingual education and particularly Dual Language Bilingual Education (DLBE), has built a strong and well-documented case as one of the most effective […] The post Learning to Lead Dual Language Bilingual Education appeared first on Language Magazine .