Rate Professor Aneesha Bakharia

Professional Summary: Professor Aneesha Bakharia

Professor Aneesha Bakharia is a distinguished academic at the University of Queensland, Australia, with expertise in educational technology, learning analytics, and data science. Her work focuses on leveraging technology to enhance educational outcomes and inform teaching practices through data-driven insights.

Academic Background and Degrees

Professor Bakharia holds advanced qualifications in fields related to technology and education. While specific details of her degrees are not widely publicized in accessible sources, her expertise and academic roles indicate a strong foundation in computer science and educational technology.

Research Specializations and Academic Interests

Professor Bakharia specializes in:

• Learning analytics and educational data mining
• Artificial intelligence in education
• Digital learning environments and student engagement
• Data visualization and predictive modeling for educational outcomes

Her research aims to bridge the gap between technology and pedagogy, providing actionable insights for educators and institutions.

Career History and Appointments

Professor Bakharia has held several significant positions in academia, contributing to both research and teaching. Her career includes:

• Current role as a Lecturer in the School of Information Technology and Electrical Engineering at the University of Queensland
• Previous positions in educational technology and learning analytics at various institutions, focusing on the integration of data science in education

Major Awards, Fellowships, and Honors

While specific awards and honors are not extensively documented in public sources, Professor Bakharia’s contributions to learning analytics and educational technology have earned her recognition within academic and professional communities. She is noted for her innovative approaches to data-driven education solutions.

Key Publications

Professor Bakharia has authored numerous publications in the fields of learning analytics and educational technology. Some notable works include:

• “The CAM Algorithm: A Content-Agnostic Method for Identifying Student Contributions in Online Discussions” (2016)
• “A Social Network Analysis of Online Engagement for College Students” (co-authored, 2018)
• Contributions to conference proceedings and journals on learning analytics and student engagement

She has also written extensively on platforms like Medium, sharing insights on educational technology and data visualization.

Influence and Impact on Academic Field

Professor Bakharia has made significant contributions to the field of learning analytics by developing tools and methodologies that help educators understand student behavior and improve learning outcomes. Her work on predictive analytics and student engagement has influenced how educational institutions adopt data-driven strategies. She is recognized for her practical applications of complex data science concepts in real-world educational settings.

Public Lectures, Committees, and Editorial Contributions

Professor Bakharia is actively involved in the academic community through:

• Presentations and workshops at international conferences on learning analytics and educational technology
• Contributions to open-source projects and resources for educators, including tutorials on data visualization and analytics tools
• Engagement in professional networks and committees focused on advancing digital learning environments

Her public-facing work, including blog posts and online courses, demonstrates a commitment to knowledge dissemination beyond traditional academic channels.