If you have not used AI tools before, please share a lesson that you have harnessed the affordances of technology in your classroom. Please include your name and school under "Subject" before you publish the responses.

•introduce Artificial Intelligence (AI) and its tools in Student Learning Space (SLS) to support Assessment for Learning (AfL);

•allow primary science teachers to capture, analyse, summarise and visualise learning data to provide students with timely and targeted feedback and resources to move their learning forward.

Please include your table number under "Subject" before you publish the responses.   

Please include your table number under "Subject" before you publish the responses.   

Snorkl for open ended question

Class point for assessment for learning (including AI insights)

Data Assistant to analyse responses

Annotated Feedback assistance for procedural writing

Fairbot (chatbot) for project work as a research assistant

Students type in their answers, read feedback from the SAFA, compare answers, and do their corrections in hardcopy ws. Teacher will look thru answers given and review qns in class.

• e-assessment for p5 and p6 for wa2 practice.

• While there is an improvement in terms of accuracy and quality of feedback given, there are instances where inaccurate feedback is given.

Sls data assistant:

• Any topic can be used for this, as long as the intention is to allow for learning experience of discussion

Students use Snorkl to give oral responses. Similarly, they will re-attempt the question using the feedback given until a satisfactory score is attained.

Results showed improved students’ performance from SLS to WA2, with more students scoring above 50% on selected items. The AI tool provided immediate, personalized feedback, enabling students to refine answers multiple times and promoting independent learning. Key benefits included timely feedback for large groups, consistency in marking, and valuable data insights for teachers. However, challenges emerged regarding students' language abilities affecting comprehension of AI feedback. The project demonstrated that AI-enhanced SLS lessons effectively support scientific reasoning and self-directed learning when properly implemented.

Students need to verify the data given using reputable sources and make decisions as to how useful this information is.

+ Students airdropped the work back/upload on Padlet

Apple Classroom + Classpoint- Apple Classroom as classroom management + live responses from Classpoint

AaL (Assessment as Learning - students using feedback to self-regulate)

ITT- learning tGT and afl and DI

Metacognition -allows them to challenge their ideas and prior knowledge

Learning Together - peers as learning resources

Personalisation - feedback/responses are tied to the needs of the class

Providing feedback that moves learners forward

KAT:

Assessment for Learning

KAT - AfL, Personalise, Scaffolding

AfL- capture, analyse, summarise and visualise learning data so we give feedback to feedforward their learning through the customisation of our lessons