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Endorsed
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Experimental
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Transforming Year 2 Phonics: Leveraging AI for Reading Success

Primary
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Teaching & Inclusive Practices
Key Stage 2
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Case Study
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Practitioners
Cassie Pearce-Pritchard

Year 2 Class Teacher, Woodmansterne Primary School

Leveraging AI in Year 2 phonics education has revolutionised reading instruction at our school. By integrating AI-generated texts featuring focus sounds, high-frequency words, and key spellings, alongside speech synthesis capabilities, we've seen remarkable progress in decoding, reading pace, and expression.

At our school, we embarked on an innovative initiative to transform Year 2 phonics education by leveraging the power of artificial intelligence (AI). Our primary goal was to enhance reading skills among our young learners, and we recognised the immense potential of AI in achieving this objective.

To begin, we developed a comprehensive set of AI-generated texts specifically tailored to include focus sounds, high-frequency words, and key spellings essential for literacy development at the Year 2 level. These texts were meticulously crafted to reinforce phonetic concepts while also incorporating elements crucial for reading comprehension.

In addition to the customised texts, we integrated speech synthesis technology into our phonics instruction. By utilising AI-generated speech, we aimed to improve reading fluency and expression among our students. The AI-powered speech provided accurate pronunciation and intonation, serving as a model for students to emulate as they read along.

This innovative approach transformed traditional phonics instruction into an engaging and effective learning experience. Through the integration of AI, our Year 2 students were exposed to a rich array of reading materials designed to reinforce phonetic concepts and enhance their overall literacy skills.

The AI-generated texts offered a diverse range of content, catering to individual learning needs and preferences. Students were able to engage with texts that were relevant to their skill level, promoting confidence and motivation in reading. The customisation of materials ensured that each student received targeted practice in the specific areas they needed to develop.

Moreover, the speech synthesis technology proved to be a game-changer in our phonics instruction. As students listened to the AI-generated speech while following along with the texts, they were able to internalise proper pronunciation, intonation, and pacing. This exposure to fluent reading models helped students develop their own reading fluency and expression.

The scenario in this case study is genuine and based upon real events and data, however its narration has been crafted by AI to uphold a standardised and clear format for readers.

Key Learning

Customised AI-generated texts tailored to phonics instruction significantly enhance reading engagement and comprehension.

Incorporating speech synthesis technology into reading materials improves fluency and expression, leading to enhanced reading outcomes.

The use of AI allows for personalised learning experiences, catering to diverse student needs and preferences.

Risks

Dependence on AI-generated materials may diminish teacher involvement in content creation and curriculum development, potentially reducing instructional flexibility and adaptability.

Technical issues or malfunctions with AI technology could disrupt learning activities and impede student progress.

Privacy concerns may arise regarding the collection and use of student data by AI systems, requiring thorough protocols for data security and privacy protection.