iSAT tool visualizes the proportion of the sub groups of students as categorized by the user and then tracks their migration patterns. For example, with performance data of students, teachers can classify high-medium-low performers and track migration of achievement levels across different assessment periods. In general it enables teachers and researchers to visually analyze dynamics of students in their class or research context. Patterns that emerge across time or across different attributes can assist decision making in that context.
VeriSIM (Verifying designs by SIMulating scenarios) is a web-based self-learning learning environment that helps learners develop an integrated understanding of software design diagrams. In VeriSIM, learners are first introduced to the requirements and design diagrams for an ‘‘Automated Door Locking System’’. They then trace scenarios in the design using the "design tracing" pedagogy. Finally, they reflect on their overall learning and how it will be useful for them in the future. In VeriSIM, these activities are presented as various challenges to learners.
Geneticus Investigatio (GI) is a technology-enhanced learning (TEL) environment for scaffolding complex learning in the context of Mendelian genetics. GI facilitates complex learning by the integration of domain concepts and science disciplinary practices such as hypothesis generation and testing. GI consists of inquiry-driven reflective learning experiences, interspersed with inquiry-based learning steps in an authentic context along with metacognitive reflection.
TEL environment for teaching and learning of expansionist and reductionist thinking skills in software design problem solving.
- Consider the following software design problem- “Design a software system for a bank which will allow customers to check their account details and balance online.”
- In the above problem, both the problem space and solution space are not well-defined. In problem space; the data-items and operations to be performed are to be formulated and in solution space; the appropriate data structure and algorithm has to be designed.
- Research studies have shown Fathom’s effectiveness in learning the expansionist skills in problem representation: understanding the problem from multiple perspectives and reductionist skill of identifying the data-items and operations based on the goal. Expansionist skill in solution design: generate alternative solutions and reductionist skill: identify the criteria to evaluate and select appropriate solutions and justify.