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Academic Biography

Dr Seibu Mary Jacob is a Senior Lecturer in Analytical Methods/Engineering Mathematics at Teesside University since 2014. She has an appetite for teaching and a vision of transformation/empowerment of lives through education. Her journey accounts for more than 19 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 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 orientated around the importance of mathematics education at school/college level.  She has authored more than 20 research publications as book chapters, journal papers and conference papers. As a reviewer she has reviewed many conference papers. She is a member of IEEE,  IAENG and IACSIT for many years. 

She has done learning and teaching presentations at Teesside in "Learning Presence and Learner Engagement through Clusters in Large Classes - Remote Classroom", " Collaborative Learning Model of Digital Pedagogy", “U-learning and Mathematics in the Digital Classroom”, “Engineering Mathematics Classroom – Teaching using Desmos Software” etc.

 

Summary of Research Interests

Her research interests lie in the statistical analysis and modelling of small and large data sets using SPSS and applied mathematics areas in computing like machine learning.

She is equally interested in Mathematics education, Engineering education, EDTech tools, Education across cultures, Policies and curriculum development at school and university level,  Modelling Critical thinking or Problem solving skills, Creation of innovative assessments, Internationalisation of Education and Curriculum 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 around mathematics education, statistical analysis of mental health projects, to name a few.

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