Amman — Every classroom contains learning stories that school grades alone cannot tell. A student may sit in front of a teacher and attempt to read a simple paragraph several times, yet substitute some letters or struggle to decode words. Another student may understand a mathematical problem when the teacher explains it verbally but be unable to organize the steps needed to solve it on paper. Others may have original ideas, yet their writing fails to reflect their thinking, or they may need far more time than their classmates to complete a task that seems easy to others.
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These behaviors are sometimes interpreted as poor concentration, a lack of effort or low motivation. However, the picture is more complex. When such behaviors persist, some may indicate learning difficulties that require specialized educational assessment.
This is where artificial intelligence becomes important not as a replacement for the teacher or specialist, but as a technological tool capable of analyzing large amounts of educational data, identifying recurring performance patterns and helping specialists ask more precise questions about the nature of the difficulties a student faces.
Hidden learning difficulties
This term can be used to describe cases in which a learning difficulty is not immediately apparent or remains concealed behind generally acceptable performance or other abilities that help students compensate for certain weaknesses.
A student may have a strong vocabulary but struggle with reading accuracy or fluency. Another may be able to perform some calculations mentally but have difficulty understanding numerical relationships or organizing the steps involved in written problems. Similarly, a student may express ideas well verbally but struggle to turn them into organized written text.
Specific learning difficulties affect several areas, including dyslexia, difficulties with written expression, and difficulties with mathematics and arithmetic. Their manifestations vary from one student to another, and they may overlap with attention or language difficulties, as well as other educational and environmental factors.
How can AI see beyond the error?
Some artificial intelligence applications rely on machine learning and deep learning technologies. These enable systems to analyze data and identify patterns that may be difficult to notice when each piece of information is examined separately.
In education, these technologies can analyze reading and writing samples, mathematical performance, records of interactions with digital learning activities, responses to questions, and the time students take to complete specific tasks.
Analyzing digital writing and identifying hidden patterns
Writing is one area that can provide rich data about student performance, particularly when digital pens or platforms that record the writing process are used.
AI algorithms can analyze these indicators to identify recurring patterns that may warrant further examination.
By Dr. Ibrahim Bani Hamdan - Education Specialist
