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RESEARCH PROJECTS
Understanding uncertainty management processes of learners during collaborative engineering design projects (Ph.D. thesis)
Under the guidance of
Prof. Chandan Dasgupta, IDP in Educational Technology, IIT Bombay
Research Problem
Research Problem
Uncertainty refers to subjective experiences of wonder, doubt, or being unsure about something.
Design thinking requires engineers to deal with both problem-related and relational uncertainties.
Dealing with uncertainties in engineering design problem solving is challenging because of the ill-structured nature of design and the involvement of complex social interactions.
The educational literature has paid little attention to the learners’ experiences of uncertainty in the context of design thinking and how they respond to such experiences.
Learners face different types of uncertainties when solving a design problem collaboratively
Research Questions
Research Questions
How do learners manage uncertainties experienced during engineering design tasks at individual and group unit levels?
How does learners' epistemological and positional framing play a role in their uncertainty management processes?
What are uncertainty management practices in the context of engineering design as defined and practiced by experts? What challenges do middle school learners encounter while productively engaging in them?
Glimpse of the Research Studies
Glimpse of the Research Studies
Summary of Findings
Summary of Findings
Small groups' uncertainty management processes
Different kinds of uncertainties experienced by learners during collaborative engineering design tasks
Other Projects:
GeoSolvAR: Augmented Reality Based Solution for Visualizing 3D Solids
Visualization is an important skill required to understand 3-Dimensional (3D) geometry concepts involving solids. However, 3D visualization is fairly difficult as it involves complex tasks like mental rotation and spatial transformations. Traditional methods of teaching 3D solids concepts, such as static 2D images and physical models, are not adequate to build these abilities in students. Also, existing geometry software packages restrict the user from interacting and manipulating objects on the computer screens and not in real 3D space. In this project, I, along with my colleagues, designed and developed an Augmented Reality (AR) based application -GeoSolvAR, that targets middle school students to improve their visualization skills. Learning activities in GeoSolvAR build on the theoretical foundations of the Predict-Observe-Explain (POE) strategy to teach the concepts of 3D views view. We also conducted studies to understand students’ perception of GeoSolvAR’s role in helping them visualize 3D and assess its effect on their mental rotation abilities.
Teaching and Learning of Decision-Making Skills in Engineering Design
In this project, I reviewed the decision-making theories and corresponding models along with the role of decision-making in engineering design focusing on the current state of teaching and learning decision-making skills and existing tools to do so. Then I applied different decision-making models to an engineering design problem to compare and understand the applicability of such models in the design problems related to the engineering domain (computer engineering in this case).
Influence of Multidimensional Thinking on Systems Thinking Approach
This project aimed at understanding the multidimensional thinking exhibited by experts, its influence on the systems thinking approach, and what factors influence their multidimensional thinking approach. Experts from different domains working in different research areas and with varying experience levels were interviewed to identify different types of multidimensional thinking using a thematic analysis method. Based on the analysis and findings of the data, we proposed the following factors as the influencers of the multidimensional thought process of the experts: initial education, domain expertise, work in multiple domains, nature of research, and working in different roles.
M. Tech research: A Budget-constrained Time and Reliability Optimization BAT Algorithm for Scheduling Workflow Applications in Clouds
I built on a meta-heuristic method called the BAT algorithm to solve the multi-objective problem of workflow scheduling in clouds that minimizes the execution time and maximizes the reliability by keeping the budget within the user-specified limit.
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