Physics HL IA & Physics SL IA

Experimental models on prototypes constructed through framing of hypothesis calls for validation of conclusion in the real world. Starting to climb up the learning ladder by constructing knowledge through different WOK-s like sense, perception, research, imagination, sharing, memory and so on, it takes the learners from collecting data to organizing and understanding the observations. Then comes the phase for practical evaluation of data and framing of hypothesis, followed by drawing conclusion through validation.

The students, as self-regulated learners, play the role of researchers with the practical bent of mind applying the comprehensive theoretical tenets. Of course, there is a trans-disciplinary integration between the other disciplines of the NOS, Math, Technology, and TOK.

The motto is to mould the students as global citizens with a holistic balance in learning and swimming through the waves of challenges with perseverance and their growth mindset.

These are some tips to write a good IA-

Data booklet as your bible

• The data booklet acts as a well-knit and constructive guide and helps students to assimilate every nitty gritty involved in the curriculum. It helps them to handle the EA and in-class study with the IA-s.

The 3-stage plan

• With respect to course outline in the syllabus, the order can be customized in the scheme of work according to students’ needs
• For HL, a spiral study fashion can be adopted by teaching the core topics in year one of the course and revisiting the core topics through the delivery of the AHL topics in year two of the course
• The option topic can be dealt as a stand-alone or integrated with the teaching of the core and/AHL topics    

Assessment objectives:

• Demonstrate knowledge and comprehension of facts, concepts and terminology, methodologies and techniques, communicating scientific information
• Apply facts, concepts and terminology, methodologies and techniques, methods of communicating scientific information
• Formulate, analyse and evaluate hypotheses, research questions and predictions, methodologies and techniques, primary and secondary data, scientific explanations
• Demonstrate affective skills to give deeper insights to ethical investigations