Newly proposed trials aim to utilize artificial intelligence to analyze lesson recordings of early career teachers.
Under a new initiative, artificial intelligence technology may be employed to assess recordings of lessons conducted by novice teachers.
Artificial intelligence could play a significant role in providing feedback to early career teachers (ECTs) by analyzing recorded lessons as part of a project led by the National Institute of Teaching (NIoT).
According to Raj Chande, a senior research associate at the NIoT, ECT lessons will be documented and submitted to a secure platform where they will be transcribed.
These transcripts will be assessed by experts, who will offer insights such as, “that’s an excellent question,” or “that explanation may not have been effective given the classroom disruption.”
The human feedback will then be utilized to train an AI model, allowing it to mimic expert evaluations.
“Eventually, both mentors and ECTs will receive semi-automatic feedback that is thoroughly vetted by our development experts,” Chande explained.
This approach aims to enable instant feedback without the need for an expert to be physically present in the classroom.
Chande clarified that the initiative is not intended to replace personal discussions; instead, it seeks to alleviate time constraints while widening the spectrum of observed lessons.
The project could also pave the way for a comprehensive database encompassing thousands of teaching practices.
“This will give us valuable insights into effective teaching techniques and areas needing improvement,” he added.
The initiative was a topic of discussion at the Confederation of School Trusts (CST) annual conference held in Birmingham today.
Chande noted that the pilot program is expected to commence this academic year with approximately 12 ECTs, potentially expanding in the future.
Discussions about the legal considerations related to the project are currently in progress.
