Egyptian innovator develops AI-powered learning platform
In an unprecedented achievement, Stanford University PhD holder Marco Mamdouh announced the development of an AI model specifically designed to train Egyptian students for their national high school exams.
This model, the first of its kind in Egypt, offers an innovative learning experience aimed at enhancing the quality of education through artificial intelligence.
The model was initially tested on Taha Hussein’s novel ‘Al-Ayyam,’ where it demonstrated an exceptional ability to generate exam-style questions and provide comprehensive answers.
The model has proven highly effective in handling open-ended questions, indicating a promising potential for developing critical thinking and creativity in students.
Speaking exclusively with Al-Masry Al-Youm, Mamdouh explained that the core idea behind this innovation is to leverage the power of AI to provide a more interactive and comprehensive learning experience.
Instead of relying on standardized questions, the model can generate an infinite number of diverse questions, ensuring students receive intensive and comprehensive training.
Mamdouh noted that the model was trained using an Arabic language development equation that he developed during his doctoral research. He continued by stating that this model represents a complete learning experience that allows students to benefit from it at any time and without the costs of a private tutor working for them 24 hours a day.
The model will be freely available to everyone.
He expressed his surprise at the results, noting that there were no prior Egyptian educational AI models before this experiment. Mamdouh stated that while innovative responses from AI are becoming common, the exceptional performance of the Egyptian-developed model was particularly surprising given the lack of previous examples in this field.
The model is characterized by its ability to generate an unlimited number of questions and exercises, making it akin to a 24/7 tutor.
It is scheduled to be released to students at the beginning of the next academic year, aiming to provide more diverse exams. This eliminates the need for students to solve repetitive questions from previous years, saving them time and offering a wider range of practice questions.