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Sunday. 22 February, 2026 - Saturday. 28 February, 2026
WEEK 09
Monday. 23 February, 2026
7:00 pm

Reviewing the Student Support Plan to Evaluate Progress (P/PP) 23.2.2026

ZOOM online

When reviewing the planning for students with additional needs what should we look at? How will we record progress that has been made and how will we build on previous targets to set new ones? We will look very practically at this process in order to get the maximum benefit from our student support plans and plan as succinctly and easily as possible.

Presenter Biography- Annette Ormond, Grad Dip. SEN, M.Ed ASN

 

Thursday. 26 February, 2026
7:00 pm

Leaving Certificate Maths: Probability Webinar 26.2.2026

ZOOM online

This four-week webinar on Thursday 26th february, 5th, 12th & 19th March is suitable for teachers of Leaving Certificate Higher Level Maths and will cover the following:
Week 1
• Fundamental Principle of Counting / Factorial
• Permutations / Combinations / Binomial Coefficients
• Probability Definition
• Sample Space
• Rules of Probability – AND/OR/NOT
• Exam Questions
Week 2
• Experimental Probability (Relative Frequency) / Expected Outcome
• One-by-One Vs All-at-once Methods
• Venn Diagrams / Mutually Exclusive
• Tree Diagrams
• Exam Questions
Week 3
• Conditional Probability
• Independent Events
• Bernoulli Trials
• Binomial Distribution
• Exam Questions
Week 4
• More Difficult Exam Questions

Learning Outcomes
The learning outcomes will be aligned with the learning outcomes of the LC Higher Maths Syllabus listed here:

• Decide whether an everyday event is likely or unlikely to occur
• Recognise that probability is a measure on a scale of 0-1 of how likely an event is to occur
• Use the language of probability to discuss events, including those with equally likely outcomes
• Estimate probabilities from experimental data
• Recognise that, if an experiment is repeated, there will be different outcomes and that increasing the number of times an experiment is repeated generally leads to a better estimated probability
• Associate the probability of an event with its long-run, relative frequency

Seimineáir Ghréasáin ITOÉ | ESCI Webinars