Nov 26, 2025

Enriching HI with SLS

Thanks to the sharing by Feline and Estella from Assumption English School on the following SLS lesson on Sec 2 Historical Investigation field trip to the Former Ford Factory.

The Historical Investigation Field Trip Package can be found on the SLS Community Gallery here:

https://vle.learning.moe.edu.sg/community-gallery/module/view/d80585ed-b7a9-4546-97a7-fa090376c89f

 Students were guided to:

✅ Describe and explain the experiences of civilians during the Japanese Occupation

 ✅ Empathise with those who lived through this difficult time

 ✅ Gather, analyse, and summarise evidence to evaluate the impact of the occupation

How SLS Supported Deeper Learning: Key Features 

🧠 Interactive Thinking Tool (ITT)

 Students used ITT to respond to open-ended prompts such as "How do you think civilians felt during the Japanese Occupation?" and "What values can we learn from their experiences?"

 They could view peers’ responses, reflect critically, and revise their answers based on new insights — promoting collaborative and metacognitive thinking.

📊 Poll Tool with Emojis

 Used to spark empathy and discussion, the poll allowed students to vote on hypothetical decisions (e.g., “Would you have resisted or complied with Japanese rule?”) and see real-time class responses.

 Emojis made responses more accessible, especially for weaker or younger students, and encouraged emotional connection.

✍️ Short Answer Feedback Assistant (SAFA)

Students received instant AI-powered feedback on short-answer questions, helping them revise ideas and clarify misunderstandings.

Example prompt: “Describe the hardship faced by civilians based on what you observed today.”

🔡 Fill-in-the-Blank and MCQ

 These closed-ended tools were embedded throughout the trail to reinforce content knowledge and test historical understanding.

 The auto-marking function reduced cognitive load and freed students to focus on higher-order reflection.

🧭 Pictorial Instructions for Navigation

 To ensure students could work independently at each station, we embedded visual guides within SLS. Arrows and image cues provided clarity on where to go and what to do next — a key feature in supporting independent learning and self-direction.

From SGLDC 

https://www.facebook.com/share/p/1BiiDRAdBC/

Nov 18, 2025

HTML interactives with ACP

One limitation of the lastest initiatives in SLS was the creation of HTML interactives with Auto copilot (ACP) does not generate score.

Thanks to Alexius, she has created this bot: https://for.edu.sg/htmlzipsls (need a chatgpt premium account for this). 

If you have an html interactive file that you have included inside your lesson and you want to see if your students have interacted with it, you can use this bot to convert your html file into a zip file that will send a score to SLS. She has made a video to show how it works.

https://youtu.be/yIvxTAecWTI?si=QzeLX8xtHj7sll5A

Terence used the new features in SLS to include interactives in History. Card sorting, board game, simulation-based learning and perspective taking.




https://www.facebook.com/groups/sglearningdesigners/?ref=share&mibextid=NSMWBT

Charanya shared a simple interactive that let her students explore direct proportion in different real-world scenarios. 




https://www.facebook.com/share/p/17eWrTVT7S/

From Lawrence. He conducted a workshop on AI generated interactives with SLS.

How to prompt AI (e.g., large language models, code generators) for simulation/activity templates. How to package and embed HTML5 interactives so they are SLS-ready (responsive, accessible, xAPI-enabled). Ways to use AI-generated interactives in SLS: tracking student data, branching logic, and adaptive feedback. Key design and technical tips: file structure, browser compatibility, performance, analytics integration. Example use-cases from physics, language learning and gamified modules. 

https://youtu.be/7VLqv7Tht-8?si=-0XgAAdMVRbxaEoP

Awesome creation by Wenxin using Authoring CoPilot (ACP) in SLS.

🎮 Building Your Own “Choose-Your-Own-Adventure” or Personality Quiz… in Under 5 Minutes!

She used ACP to turn her idea into a working HTML5 interactivee based on a tourist personality quiz based on the “Venturer” and “Dependable” traveller types. 

This is what she did:

1️⃣ Used ChatGPT to generate quiz questions based on the personality traits. 

2️⃣ Got it to create an auto-scoring system so the quiz could sort students into different profiles. 

3️⃣ Asked it to produce a single-file HTML5 interactive prompt, complete with scoring logic, navigation, and result screens. 

4️⃣ Dropped the prompt directly into ACP.

This HTML5 interactive generation feature will go live on SLS on 4 December evening after the R3 release.




Many thanks to Wenxin for sharing this!

https://www.facebook.com/share/p/17y3WjX2Qj/ 


Sharing by Jason for Physics.










https://www.facebook.com/share/p/1CschU6x16/


How HTML5 interactives align with KAT by Matthew.

https://www.facebook.com/share/v/1CLNHRpQi5/


You can read more about AI in SLS here:

https://www.learning.moe.edu.sg/teachers/teaching-and-learning-on-sls/aied-features/