Student Teachers in the UAE Reveal Gaps in Classroom Technology Readiness

When young children walk into a modern kindergarten in the United Arab Emirates, they encounter a classroom that would have been unrecognizable a generation ago: interactive whiteboards, tablet stations, digital portfolios, and increasingly, software powered by artificial intelligence. Yet the teachers standing at the front of those rooms are often only a few years removed from their own training, and a new study suggests that the bridge between teacher education and the digital realities of early childhood classrooms is shakier than many assume. Research published in the International Journal of Early Childhood by a team at United Arab Emirates University examines how preservice early childhood teachers perceive their own readiness to integrate technology during their teaching internships, and the findings paint a picture of motivated but under-supported novices navigating a rapidly evolving digital landscape.

The study, led by Jogymol Kalariparampil Alex together with Rachel Takriti, Shahinaz Bashir, Latifa Alketbi and Amnea Tareq, took a deliberately qualitative approach. Rather than measuring teachers’ skills with a test, the researchers analyzed reflective narratives written by student teachers about their internship experiences. From a broader cohort of thirty participants, the team selected a purposive analytic subsample of fourteen, chosen for the richness and relevance of their written reflections. The analysis was structured around a framework-informed qualitative method, a technique that organizes interview or narrative data into a matrix of themes anchored in an established theoretical model. In this case, that anchor was Charlotte Danielson’s Framework for Teaching, a widely used professional standard that divides teaching practice into domains covering planning, classroom environments, instruction, and professional responsibilities.

The choice of Danielson’s framework is significant because it forces a question that much educational technology research glosses over: technology is never used in a vacuum. A tablet app is only as good as the lesson plan it serves, the classroom environment it fits into, and the assessment practices it supports. By mapping student teachers’ reflections onto Danielson’s domains, the researchers could see not just whether the novices felt confident with technology, but where in the professional practice of teaching that confidence broke down. The answer, in short, was almost everywhere that matters.

The core finding is a paradox familiar to anyone who studies educational technology. The student teachers overwhelmingly recognized that technology integration is important for young learners. They had grown up with digital devices, and the UAE’s national strategies, including the Education 33 strategy for Dubai’s education future and the national digital transformation roadmap, have made digital competence an explicit policy priority. Yet recognizing importance is not the same as possessing the specialized knowledge to act on it. The participants consistently reported that they needed further support in three distinct competencies: selecting digital tools appropriate for young children, applying those tools effectively in lessons, and evaluating whether the tools actually enhanced learning.

That three-part gap maps closely onto a well-established theoretical model in educational research known as TPACK, or technological pedagogical content knowledge. Developed by Punya Mishra and Matthew Koehler, TPACK argues that effective technology integration requires the intersection of three knowledge domains: knowledge of technology itself, knowledge of pedagogy, and knowledge of the content being taught. A teacher might be fluent with devices and still fail in the classroom if she cannot connect a specific app to a specific learning goal for a specific group of four-year-olds. The reflections analyzed in this study suggest that the student teachers’ weakest link was precisely this intersection. They knew how to operate technology; they were less sure how to make it serve early childhood pedagogy.

The specific areas of concern the researchers identified are strikingly contemporary. Beyond general integration strategies, the student teachers flagged advanced and AI-enabled platforms as a source of anxiety, reflecting a global wave of generative artificial intelligence that has reached even preschool classrooms. International bodies have begun to respond: UNESCO has published guidance for generative AI in education and research and an AI competency framework for teachers, while researchers have started mapping what AI literacy might mean in early childhood settings. The UAE student teachers, it appears, are confronting these tools during their internships without a structured curriculum that prepares them to evaluate or deploy them. Technology-supported assessment and reporting emerged as another pressure point, an area where digital tools promise to streamline the documentation of young children’s learning but where novices lack training in doing so responsibly.

Underneath these practical concerns lies a deeper tension in early childhood education specifically. The field has long been cautious about screen time and digital media for young children, with the American Academy of Pediatrics and organizations like the National Association for the Education of Young Children issuing guidance that emphasizes developmentally appropriate use. The science of learning adds nuance: research by Kathy Hirsh-Pasek and colleagues has shown that many so-called educational apps fail to incorporate well-established principles of how children learn, prioritizing rote engagement over meaningful, socially supported, and goal-directed play. A student teacher in a UAE kindergarten therefore faces a genuine professional judgment call every time she reaches for a digital tool, and the study’s participants made clear that their preparation had not equipped them to make that call with confidence.

What makes this study more than a catalog of deficits is its constructive contribution: the researchers distilled their findings into a new theoretical model they call the Tech-Enabled Reflective Practitioner, or TERP. The model is designed to align several elements that teacher education programs often treat separately. It connects TPACK, which describes the knowledge teachers need, with Danielson’s domains, which describe the practice they must perform, and it embeds both within two processes that the study found essential: mentorship during the internship and structured reflective practice. The underlying idea is that technology competence is not a checkbox on a course syllabus but a professional identity that develops through cycles of action, reflection, and guided feedback in real classrooms.

The emphasis on reflection deserves particular attention, because it reframes what internships are for. Kenneth Zeichner and other teacher education scholars have argued for years that the connection between campus courses and field experiences is often weak, with student teachers encountering realities in schools that their university coursework never anticipated. The reflective narratives analyzed in this study function as exactly the kind of evidence that can close that loop. When a student teacher writes that she struggled to choose between digital tools for a phonics activity, or that she was unsure how to document a child’s progress using the school’s reporting platform, she is generating a precise, practice-grounded specification of what her training should have included. Aggregated across a cohort, such reflections become a curriculum map drawn by the learners themselves.

The implications the researchers draw extend beyond the UAE, though the Emirati context gives the findings particular weight. The country has invested heavily in digital transformation across government and society, and its education strategy explicitly positions technology at the center of future schooling. In that environment, the gap between policy ambition and classroom preparation is not a local curiosity but a national risk. The study’s recommendations point toward concrete reforms: internship designs that deliberately scaffold technology integration rather than leaving it to chance, teacher education curricula that address AI-enabled platforms and technology-supported assessment head-on, and supervised professional development that continues past graduation. For early childhood systems everywhere wrestling with the same questions, the message from these reflective novice teachers is clear. They are not resistant to technology; they are asking for the knowledge, mentorship, and evaluative frameworks that would let them use it well for the youngest learners in their care.

Subject of Research: Preservice early childhood teachers' technology integration readiness during teaching internships in the UAE

Article Title: Technology Integration and Professional Practice: Lessons from Early Childhood Student Teachers’ Reflections of Internship Experience

Article References: Technology Integration and Professional Practice: Lessons from Early Childhood Student Teachers’ Reflections of Internship Experience. (n.d.). https://doi.org/10.1007/s13158-026-00552-7

Image Credits: AI Generated

DOI: 10.1007/s13158-026-00552-7

Keywords: early childhood education, technology integration, teacher internship, TPACK, Danielson framework, reflective practice, artificial intelligence in education, UAE education, teacher preparation, digital pedagogy, mentorship, preservice teachers