Sessional Lecturer
Department of Computer Science, University of British Columbia
Hazra Imran is an Instructor of Computer Science at UBC with over 11 years of experience in Academic and Research. Hazra has a passion for teaching and enjoys interacting with her students. Her research mainly focuses on Advanced Adaptivity and Personalization, Collaborative Recommendation and Personalized Web Based Learning Systems.
She completed her postdoctoral fellowship at Athabasca University in Canada, funded by MITACS under the guidance of Prof. Sabine Graf and Prof. Kinshuk at Athabasca University. Her research had two folded facets. One of the aspect of research dealt with an intelligent application in the e-learning area aimed at personalizing the learning experience to the real needs of each student. The other aspect was to support teachers by providing them with tools which can provide them insights about their learners and the courses to understand the student's behavior and to improve their courses.
She has instructed over fifty courses in computer science at UBC (Canada), Langara College (Canada), Douglas College (Canada) and Hamdard University (India), with a class size ranges from 35 to 160. As an Assistant Professor of Computer Science at Hamdard University, she has supervised several graduate and under graduate students. Her objective as a teacher is to motivate her students to develop their own learning interests and critical thinking. In particular, teaching a wide range of computer science courses during her teaching career has made Hazra aware of the needs and interests of diverse student body. To promote students learning, she has integrated many innovative techniques in her teaching.
Outside the academic world, she enjoys exploring new places, listening music and food. Hazra and her husband, Imran, are parents of two young kids, Inaayah and Adheem.
Department of Computer Science, University of British Columbia
Computer Science, Langara College, BC, Canada
Computer Science, Douglas College, BC, Canada
Athabasca University, Edmonton, AB, Canada
Athabasca University, Edmonton, AB, Canada
Computer Science, PACE Canada College, BC, Canada
Department of Computer Science, Hamdard University, New Delhi, India
Computer Science,Banasthali University, Rajasthan, India
Ph.D. in Computer Science (Information retrieval)
School of Computer and Systems Sciences Jawaharlal Nehru University (JNU), New Delhi, India
Master of Technology, Computer Science
Banasthali University, Rajasthan, India
Bachelor of Information Technology,
New Delhi, India
Teaching is more than imparting knowledge, it is inspiring change. Learning is more than absorbing facts, it is acquiring understanding.
-William Arthur Ward
Learning management systems (LMS) are typically used by large educational institutions and focus on supporting instructors in managing and administrating online courses. However, such LMS typically use a “one-size-fits-all” approach where same course content and structure is delivered to all learners. But, each learner has different characteristics, and therefore, a “one size fits all” approach does not support most learners particularly well. One of the possible ways to support each learner individually based on his/her characteristics is the use of personalization. Personalization in learning management systems (LMS) occurs when such systems tailor the learning experience of learners such that it fits their profiles, which helps in increasing their performance within the course and the quality of learning. A learner's profile can, for example, consist of his/her learning styles, goals, existing knowledge, ability, and interests.
The aim of the research was to offer rich adaptivity and personalization by integrating recommender systems into existing LMS, enabling an LMS to adapt courses not only based on learner's individual profile (learning styles, prior knowledge, expertise level and performance) but also based on what worked well for learners with a similar profile in similar situations to increase learner's efficiency, performance and/or satisfaction. The research dealt with an intelligent application in the e-learning area aimed at personalizing the learning experience to the real needs of each learner. Such advanced personalization can help learners in many ways such as reducing the learning time without negative impact on their marks, improving learning performance as well as increasing the level of satisfaction. This research aimed to improving the overall quality of learning by providing personalized recommendations to learners as well as providing detailed insight about the course and learners to the teachers.
Many books teach the mechanics of using Facebook, Twitter, and YouTube to compete in business. But no book addresses how to harness the incredible power of social media to make a difference. Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Although a substantial amount of research has examined the constructs of warmth and competence, far less has examined how these constructs develop and what benefits may accrue when warmth and competence are cultivated. Yet there are positive consequences, both emotional and behavioral, that are likely to occur when brands hold perceptions of both. In this paper, we shed light on when and how warmth and competence are jointly promoted in brands, and why these reputations matter.
Although a substantial amount of research has examined the constructs of warmth and competence, far less has examined how these constructs develop and what benefits may accrue when warmth and competence are cultivated. Yet there are positive consequences, both emotional and behavioral, that are likely to occur when brands hold perceptions of both. In this paper, we shed light on when and how warmth and competence are jointly promoted in brands, and why these reputations matter.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Address: Department of Computer Science
The University of British Columbia
2366 Main Mall
Vancouver, B.C.
Canada V6T 1Z4
You can find me at my office located at 2366 Main Mall. Please check office number in the course outline.
I am at my office during my office hours, but you may consider sending an email to fix an appointment.