Thinking Skills

There are different thinking skills. Many researchers are working worldwide to build technology enhanced learning environment to develop various thinking skills in students. This section lists various TELoTS projects which aim at developing or improving different thinking skills.

  • Engineering Design Thinking: This thinking skill is a combination of complex cognitive process such as ill-structured problem solving, inquiry learning and systematic decision making. It is taught in many universities and institutes as a separate course and mainly based on project-based learning (PBL),  which is resource intensive in terms of faculty time, infrastructure and cost.   ‘TELE-EDesC’ (Technology Enhanced Learning Environment to teach Engineering Design Competencies) is a system developed by IDP-ET, IIT Bombay, to develop competency in Structure Open Problem in Engineering Design. It contains learning modules with interactive learning actions and activities to be performed by the learner. …Read More
  • Micro-Macro Thinking: It is defined as the ability to establish a link between invisible/theoretical variables in a micro world and its corresponding manipulable variables in a macro world in order to predict the functionality for any given system. It is an important thinking skill required for tertiary education. MICOMAP is a system developed by IDP-ET, IIT Bombay to develop Micro-Macro Thinking Skills in students. …Read More
  • Divergent Convergent Thinking: Divergent and convergent thinking skills are the important cognitive processes involved in solving problems. Divergent thinking seeks understanding the problem from multiple perspectives and generating multiple solutions. While, convergent thinking is the process of evaluating and selecting the most optimal solution based on some criteria. …Read more
  • Engineering Estimation Skill: Engineering estimation is the process of determining approximate values for a physical quantity with incomplete information and knowledge and without tools such as computing resources. Engineering practitioners and students have to routinely solve ill-structured problems, which require estimation skill. The purpose of estimation is typically to make a decision that allows one to proceed in the problem solving or design process when faced with lack of information, resources or strategies. …Read more
  • Knowledge Integration:  Knowledge integration (KI) is defined as the process by which learners sort out connections between new and existing ideas to reach more normative and coherent understanding in science. The thinking skill of doing richer knowledge integrations results in a more organized understanding of the concepts and lead to deeper understanding. The project “Inquiry-based Knowledge Integration Trainer (IKnowIT)” aims at devising a technology enhanced learning environment to improve students’ knowledge integration performance. The key pedagogical idea is to use student question posing activities to elicit and train students on various aspects of knowledge integration. …Read more
  • Troubleshooting Skill: Troubleshooting is a process which ranges from the identification of problem symptoms to determining and implementing the actions required to fix that problem.Troubleshooting skill can be contextualized in various domains like electrical circuits, computer programs (where it is called debugging) and mechanical systems …Read more
  • Hypothetico-Deductive Reasoning: It is a series of reasoning steps to explain any phenomenon, which includes steps like formation of hypothesis, checking of individual hypothesis by experimentation, designing of experiment, predicting the outcome based on experiment, collecting the observed outcome and comparing predicted and observed outcome. HDR is made explicit in the form of “If . . . and . . . then . . . And/But . . .Therefore . . . arguments. Other thinking skill which is similar to this thinking skill is Predict-Observe- Explain (POE). …Read more
  • Computational Thinking: Computational thinking is a term which was coined by Jeannete Wing in 2006 . It is loosely defined as a tool set for solving problems that combines the use of abstractions, automation, and symbolic and logical reasoning that have been primarily developed in the computer sciences and general mathematical primitives to build and analyze computational models of processes. Since 2006, many in the education community have echoed Wing’s call about the importance of teaching students how to think computationally.  …Read more