Dr Seibu Mary Jacob is a Senior Lecturer in Analytical Methods/Engineering Mathematics, in the School of Computing, Engineering and Digital Technologies at Teesside University since 2014.  Seibu is a Senior Fellow of HEA and heads the pedagogic research group STEAMEDULAB@TU of the School. As a passionate educator, she has a vision of transformation/empowerment of lives through education. Her journey accounts for more than 20 years of teaching experience. She took her bachelor degree in Mathematics (BSc) and Master degree in Mathematics (MSc), along with Post Graduate Diploma in Computer Applications (PGDCA). She was keen on research in Mathematics Education which started off with her Bachelor degree in Mathematics Education (BEd) and culminated in her doctoral degree. Her PhD research focussed on investigating Critical Thinking skills facilitated through online discussion forums in Engineering Mathematics.

She began her teaching career in Malaysia and has handled Engineering Mathematics for degree students and Statistics for post-graduate research students in the Swinburne University of Technology (Sarawak Campus), Malaysia. She is experienced in the use of SPSS for statistical data analysis and modelling and basic MATLAB for engineering problems. She moved into Teesside University in January 2014. The modules currently handled at Teesside University include Masters project modules, Engineering Mathematics, Probability & Statistics, Statistical Analysis and History/Philosophy of Mathematics modules for the Engineering and Mathematics degree students. 

She holds an MCE (Microsoft Certified Educator) badge and is a keen user /researcher of the optimal tools of Technology in Education and is eager to inspire confidence in mathematics learning through technology for the marginalised communities. She is keen on community projects with diversity and inclusion orientation around the importance of mathematics/engineering education at school/college level.  An active researcher, she is a member of IEEE,  IAENG and IACSIT for many years. 

She is active in Learning and Teaching presentations at Teesside. Here are the links to two of her Impact Case Studies:
https://blogs.tees.ac.uk/lteonline/2019/06/14/1819-01/
https://blogs.tees.ac.uk/lteonline/2021/09/28/learning-presence-and-learner-engagement-through-clusters-seibu-mary-jacob/
Other titles include " Collaborative Learning Model of Digital Pedagogy", “U-learning and Mathematics in the Digital Classroom”.

Her research interests lie in AI in education, especially the integration of Generative AI, Agentic AI tools/Reinforcement Learning (RL) frameworks in Education, EDTech tools, Learner engagement/Learning analytics,  the statistical analysis and modelling of small and large data sets using SPSS and applied mathematics and computing areas of machine learning models.

She is equally interested in Enginering education, Industry led learning and employability frameworks, HE partnerships, Mathematics education,  Education across cultures, Policies and curriculum development at school and university level,  Modelling Critical thinking or Problem solving skills, Innovative assessments, Internationalisation of Education and Curriculum, Diversity and Inclusion etc.

Seibu is a firm believer that any research should impact and uplift the community, hence she is keen to be involved in community projects to raise the profile of STEM education, the rising impact of Generative AI on the wide learner community, policy making in education, to name a few.

• Co-investigator of the Royal Academy of Engineering 2023 Diversity Impact programme funding project team of TU (£100,000). See the summary: Teesside University
  Project title: Building Research Awareness for a Sustainable Future.

• Internal Grant (£1000) from TU Participatory Research Fund 2024 for the project:
  Evaluation of Industrial inputs through Siemens Connected Curriculum and Industrial Teaching & Learning Roundtable.
• AI in Education research interest group, under STEAMEDULAB@TU, with a focus on possibilities/challenges of AI integration for SCEDT academics and learners.