Shaymaa Sorour | Computer Science | Women Researcher Award

Assoc Prof Dr. Shaymaa Sorour | Computer Science | Women Researcher Award

Associate Professor, King Faisal University, Alhufof 31982, Saudi Arabia

Associate Professor Dr. Shaymaa Sorour, based at King Faisal University in Alhufof, Saudi Arabia, exemplifies excellence in computer science research. Her remarkable contributions have earned her the esteemed Women Researcher Award 🏆, a testament to her dedication and innovation in the field. Dr. Sorour’s work not only advances the frontier of computer science but also inspires future generations, particularly women, to pursue careers in STEM. With her expertise and leadership, she continues to make significant strides, shaping the landscape of technology and academia. Dr. Sorour stands as a beacon of empowerment and achievement within the global scientific community.

Profile

Google Scholar

Education 🎓

Shaymaa Ezz ElArab Mohamed Sorour embarked on her academic journey with a B.Sc. in Computer Teacher Preparation from the Education Technology Department at Tanta University, where she graduated with distinction. She further honed her skills with a Diploma in Specific Preparing Computer Instruction from Mansoura University, followed by an M.Sc. and Ph.D. in Computer Education from Kyushu University in Japan. Her dedication and academic excellence were reflected in her consistently high grades throughout her educational endeavors.

Experience 💼

Shaymaa Sorour’s professional journey began as a Demonstrator in Computer Science and Education at Kafrelsheikh University. She then progressed to the role of Assistant Lecturer at Mansoura University before returning to Kafrelsheikh University as an Assistant Professor of Computer Science. Currently, she holds the position of Associate Professor in the Department of Educational Technology, continuing to impart knowledge and expertise in the field of computer science.

Research Interests 🔬

Dr. Sorour’s research interests lie in the intersection of computer science and education, particularly focusing on learning technologies, learning environments, and educational data mining. Her work explores innovative approaches to enhance student performance and engagement through the integration of technology into educational practices.

Awards 🏆

Dr. Sorour’s contributions to research have been recognized with several prestigious awards, including the Best Research Award at the International Conference on Learning Technologies and Learning Environments (LTLE) in Japan. Additionally, she has been honored with International Scientific Publishing Awards at Kafrelsheikh University for multiple consecutive years, highlighting her impact in the academic community.

Publications Top Notes 📚

“Comparison of predicting student’s performance using machine learning algorithms” – International Journal of Intelligent Systems and Applications, 2019

“A predictive model to evaluate student performance” – Journal of Information Processing, 2015

“An efficient data mining technique for assessing satisfaction level with online learning for higher education students during the COVID-19” – IEEE Access, 2022