Nurturing learner agency through disciplinary deconstruction

Kenneth Y T Lim

M G R Harsavardhan, Joe Wong, Amy L Y Low, Isabella J E Lim

Singapore

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voyager@mac.com

PROBLEM

Urban Heat Island Effect

Significant increase in hot weather trends in Singapore. In classrooms ventilated only by ceiling fans, students feel the effects of the elevated temperatures deeply.

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Sustainability

Using the simulator, we are able to simulate changes and evaluate their effectiveness, saving both time and monetary resources. The addition of greenery is also a sustainable method of reducing the urban island heat effects.

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RGS 3D Model

TEST 1 & TEST 2: SOLAR IRRADIANCE

Solar irradiance simulation of building without additional landscaping

Solar irradiance simulation of building with additional landscaping

TEST 3 & TEST 4: NOISE

Noise simulation of building without trees

Noise simulation of building with trees

AREAS OF CONCERN

EXTREME HEAT

TRAFFIC NOISE

The parade square was found to experience extreme heat, especially during midday. This is where morning assembly is conducted, and some co-curricular activities. This is not ideal as those engaging in physical activity will be further drained and more susceptible to heat stroke.

The galleria, a place where some co-curricular activities are conducted, as well as a space for students to study, was found to be extremely noisy. Excessive and elevated noise levels may break concentration and cause students to be unable to focus.

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SOLUTIONS (EXTREME HEAT)

Lower temperature

Increased airflow

MIST FANS

Mist expelled by the mist fans will cool down the surrounding air by evaporative cooling

Wind blown out by the fan will increase the airflow of the area, increasing comfort levels

TEST 5 & 6

Noise simulation of building without mist fans

Noise simulation of building with mist fans

The results show that the parade square was marginally cooler when there were mist fans in place, creating a more comfortable environment for morning assembly and co-curricular activities to take place.

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SOLUTIONS (NOISY)

Reflect sounds

Absorb sounds

NOISE BARRIER

The noise barrier would be angles upwards, such that noise coming from below would be reflected away

The noise barrier would be made of sound absorbing mesh, making it effective in absorbing noises so that the galleria can be quieter

TEST 7 & 8

Noise simulation of building without noise barrier

Noise simulation of building with noise barrier

The results show that there is no change in noise levels recorded. Since concrete absorbs less sound than the sound absorber mesh, there may be a more tangible difference if carried out in reality.

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*note that the noise barrier was assumed to be concrete in the simulation.

Recommendations

Mist Fans

Rooftop Gardens

Open Spaces

Increase air flow and decrease temperatures of the parade square

Lower temperatures and increase students’ and staff overall wellbeing.

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Increase airflow for lower temperatures

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Introduction

Table Of Contents

01.

02.

03.

04.

Methodology

Results

Conclusion

Current Situation

• Covid-19 accelerated the transition from physical learning to online learning.
• Greater need to adapt and discover new ways of interacting by using tools which were previously unknown of.

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Current Situation

• Online lessons were not suitable for everyone as most students were new to it and were prone to distraction.
• Teachers had additional burden to pre-record videos.

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Current Situation

• Teachers may be unable to cater to the different learning style of students.
• Some students may be hesitant to approach teachers or friends because of fear of judgement

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1. Tesseract OCR

Different tools we used

• Optical Character Recognition (OCR) engine.
• Extract text, from images.
• Support various fonts and writing styles.

2. OpenCV Image

• Used to enhance images for better text recognition

Different tools we used

3. Different GPT models

4. Flask

• OpenAI has many different models.
• We tested a few of them to see which one is best suited for our need.

• To develop UI for website.

Our model

GPT-3.5 Vision

OpenCV

Results

Successes

Limitations

• Successfully integrated Tesseract OCR, OpenCV and OpenAI
• Able to solve word, algebraic and simple quadratic problems

• Incorrect recognition of some non-Latin alphabets
• Small, handwritten text were more prone to misinterpretation
• Rotated images sometimes led to errors

Keep user engaged by testing user for the next step

Future Plans

Greater readability

Help draw diagrams or models

Dall-E Image Generation

More interaction

Reformat text into numbered steps

Thank you!

Any Questions?