# data[].attributes.body
6 hours to devoted

Roughly ~40% of Grade 9 Program

# data[].attributes.body
The start of the industry session with a strong Why of the Industry and an Activity which gives more clarity regarding it

# data[].attributes.body
There is quite of massive information with respect to careers & Industry. Which may leave students Overwhelmed

# data[].attributes.body
Bot itself also has limited careers and all clubbed and no contextual information

# data[].attributes.body
Some careers are missing and not as evident like actor etc

# data[].attributes.body
There is no excitement woah moment for excitement

# data[].attributes.body
The city activity is a strong hook for students

# data[].attributes.body
Many of the careers are missing from the book. Which student may feel interested

# data[].attributes.body
The way forward diagram is complex to self read and understand

# data[].attributes.body
fostering deeper understanding and informed decision-making. In essence, industry details show the clarity and foresight gained via visualization.

# data[].attributes.body
HOW of navigating the student book can be made more effective. Students most of the time are quite lost and not at pace as the content is too heavy/ text heavy for something they are seeing for the very 1st time.

# data[].attributes.body
Rebucket careers as not industries but perhaps future careers, etc

# data[].attributes.body
Reduce the no of careers covered per industry

# data[].attributes.body
1. City Builder activity- Using this to anchor the careers and industry based on the layout of a city can help students make a connection.

2. Having the students star mark careers based on their IA gives a chance for students to apply existing and acquired knowledge

# data[].attributes.body
If students are not finding a career they are interested in, it tends to leave them feeling demotivated and zoned out

# data[].attributes.body
Huge asset to cover a repository of 50+ careers

# data[].attributes.body
Add alternate names of the careers that students might be more familiar with

# data[].attributes.body
Bring in experiential activities like expert speakers / exposure cisits

# data[].attributes.body
1. City Builder activity- It can get confusing after a point for students if not explained properly.

2. Assumption- assuming that students have more knowledge of an industry over the other might not always be accurate. (How can we make sure that our assumptions do not affect the way a student might learn.)

# data[].attributes.body
Lot of information is there and covering surface only.

Time constraint

What are we learning today? (3 min) TIMING IS VERY LESS AND WON'T BE ABLE TO COVER ALL THE ELEMENTS

Say: Let us start with learning about different carer through an activity.

*CAREER SPELLING MISTAKE

# data[].attributes.body
Focus more on star marking then actual knowledge/doubt clarification

# data[].attributes.body
Recap of codes: recommendation

Maybe ask the child to go back to the page where they have written those codes and the meaning of them—in recap too.

# data[].attributes.body
Reduce the complexity of certain terminologies. This should feel exciting v/s stressful to understand in the first place

# data[].attributes.body
A seperate career booklet for choice based exploration in certain classes