Rahma Jawad

About me

As an educator, I have devoted more than a decade to the sphere of higher education. Over this period, I have refined my skills in tutoring students across various age brackets and educational stages, with a key focus on level 3 undergraduate teaching. Throughout my 13 years of immersion in higher education, I’ve developed a deep understanding of the delicate balance an educator must strike. This includes pacing the curriculum appropriately, clearly outlining learning objectives, developing concepts effectively, and applying practical skills. Moreover, it requires avoiding an excessive emphasis on theoretical constructs that might overwhelm students. Influenced by sociomaterial viewpoints and Actor-Network Theory, my teaching methodology is designed to be  both thorough and flexible to adapt to my students’ unique needs. My engagement with these advanced learning theories and the challenges they present in a teaching context has sharpened my ability to promote an interactive learning environment. I’m dedicated to facilitating a two-way exchange of knowledge and encouraging an environment where learning is derived from logical reasoning and understanding.

In addition to my teaching duties, I have the distinct honor of serving as the Disability Coordinator for the School of Computing and Mathematics. In this capacity, I am fervently committed to fostering an inclusive academic environment. It’s a role where I work diligently to ensure that every student, regardless of their individual challenges, is given the opportunity and support to excel. I passionately believe in amplifying each student’s unique potential, emphasizing that in the realm of education, every individual has a rightful place to thrive.

Qualifications

• Doctorate in Education (Phase B) Statistics Education, Manchester Metropolitan University
• Post Graduate Certificate in Learning and Teaching in Higher Education (PGCLTHE) [Sep 2014 - Sep 2016], CELT, Manchester Metropolitan University.
• Masters in Science, Biostatistics [Sep 2011 – Sep 2012]  School of Mathematics, The University of Manchester, UK
• BSc(hons) Mathematics  [Sep 2006 - May 2010]  

Professional Affiliations

• Fellow of Higher Education Academy (FHEA)

Prizes and Awards

• Nomination for Inspirational Tutor Award 2012 Foundation year.

My primary research interest lies in examining the influence of rich media resources on students’ self-efficacy, statistics anxiety, and overall performance in the context of statistical education.

My doctoral thesis, titled “Investigating the Impact of Rich Media Resources on Students’ Self-Efficacy, Statistics Anxiety, and Performance,” provides a comprehensive exploration of how students’ engagement with rich media resources (RMR)—such as video resources, lecture captures, and virtual learning environments provided by Manchester Metropolitan University at the Level 3 Statistics course—shapes their experiences in e-learning. This research endeavor has enabled me to gain valuable insights into the ways students’ everyday interactions with technology, specifically RMR, contribute to variations in their levels of anxiety and self-efficacy in the realm of statistical education. In addition to my primary research focus, I have developed a burgeoning interest in exploring the role of artificial intelligence (AI) in enhancing student learning experiences within the context of statistics education. By examining the potential benefits and implications of AI integration, I aim to contribute to the development of innovative and effective pedagogical approaches that will revolutionize the future of statistical education.