Collaborative Learning Model

85% of a teacher’s time is spent in routine tasks: preparation and delivery of content (4 out of 7 periods a day), formative and summative assessments, house-keeping and record-keeping chores. As a result, she finds it a challenge to spend quality time and personalize learning; to teach the child, and not just the subject. After all, that is her primary role.

We intend to introduce teacher-robots in the near future; they will make the teacher more relevant than what they are today. This will be marked by complementary between human teachers and robots as shown below:

Indus Spotlight

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Collaborative Learning Model

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UPCOMING EVENTS

Sep 14
Gr 10 Virtual Leadership camp
Monday
Sep 16 - Sep 17
MYP and DP Interhouse Art Competition
Wednesday - Thursday
Sep 18
Teachers Day Celebrations
Friday
Sep 21
PTM Commences
Monday
Aug 24
PYP Interhouse Dance Competition
Thursday
Oct 05
Literacy Week Begins
Monday
Oct 08
Student Led Conferences
Tuesday
Oct 15 - Oct 26
Dussehra Break
Tuesday-Monday
Oct 27 - Oct 30
Gr 11 Virtual Leadership camp
Tuesday - Friday

From the CEO/MD’s desk

Lieutenant General Arjun Ray, PVSM, VSM (Retd.)CEO/MD
Indus Trust

One of Einstein’s popular quote was, “Education is what remains, after one has forgotten what one has learned in school.” What Einstein meant was that real learning happens only after one has graduated from school - only real-life experiences can educate a person about life. Had Einstein been living today in the World of VUCA (volatility, uncertainty, complexity and ambiguity) and Artificial Intelligence, he would possibly have said that, education must happen in school.

That is the meaning of education. This is what Indus stands for - that at the time of graduation a student should bear future-ready. To be future ready, one must be startup-ready. A Startup-You.

With warm regards,

 

 

 

 

 

Collaborative Learning Model

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Introducing Eagle 4 Robot for assisting teachers in the classroom, with enhanced features and functionalities of content delivery, two-way interaction, conversation capabilities, student recognition through voice, student engagement analysis through facial recognition and automated assessment with prescriptive and personalised feedback.

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