Teacher CPD · Secondary Schools

Teaching Leaving Certificate Computer Science

Enrol now — course content opens on 1 Jul 2026. We'll email you that morning with access details.
€39
Enrolment per teacher
What's included
  • Self paced
  • Online course
  • Step-by-step lessons
  • Certificate from Coding Ireland

Explore the Course

Establishes an honest baseline of where you start (a confidence audit), a working understanding of what the current LCCS specification requires, and the Lead Learner mindset that lets out-of-field teachers deliver LCCS confidently without performing domain expertise.

Welcome, Confidence Audit and the Lead Learner Mindset
The LCCS Specification: Three Strands, Two Components, and What 2027 Changes

Replaces 'watch me code, now you try' with evidence-based programming pedagogy: computational thinking as named classroom moves, PRIMM and worked examples, explicit debugging instruction, and a sequenced two-year Python progression with programming-specific assessment.

Computational Thinking as Classroom Practice
PRIMM, Worked Examples and Misconception Diagnostics
Teaching Debugging Explicitly
Scaffolding Python Across Two Years and Assessing Programming Progress

Builds subject-knowledge confidence across Strand 2 (Core Concepts) for non-specialists, covering data representation, algorithms, computer systems, networks and the web, and AI/machine learning/computers in society at the level the spec and the SEC written paper actually require.

Teaching Data Representation: Mental Models Before Conversion (for Non-specialists)
Algorithms and Algorithmic Thinking for Non-specialists
Computer Systems, Hardware, Software, and the Operating System for the Written Paper
Networks and the Web: Teaching It Without Drowning Students in Acronyms
AI, Machine Learning and Computers in Society

Builds capability to design and run the four prescribed team-based Applied Learning Tasks across the two-year course, addresses the realistic 3-versus-4 calendar decision honestly, and frames the ALT sequence as deliberate preparation for the individual Coursework Project.

Designing and Running Alts in a Crowded Senior Cycle Calendar
Using Alts as Coursework Project Preparation

Builds Coursework Project supervision capability, the longest assessment-focused module because the Coursework is where good teaching most directly affects outcomes: reading the brief and marking scheme like an examiner, coaching topic selection within the SEC brief, supervising the concentrated eight-to-ten-week window, and applying the six quality descriptors to a sample submission.

Reading the Coursework Project Brief and Marking Scheme Like an Examiner
Coaching Topic Selection and Supervising the Concentrated Coursework Window
Applying the Marking Scheme to a Sample Submission

Gives the 70% written paper its proper share of attention: paper architecture, marking-scheme insights into where students lose marks, year-round exam technique, and a final lesson synthesising the whole course into a Year 5 LCCS plan with a JC-to-LCCS recruitment pipeline and a closing reflection.

The Written Paper, Structure, Question Architecture and Marking Patterns
Marking-scheme Insights, Where Students Lose Marks and Teaching Responses
Exam Technique Across the Year, Question Parsing, Code-question Strategy and Time Management
Your Year Plan, Recruitment Pipeline and Final Reflection

Establishes an honest baseline of where you start (a confidence audit), a working understanding of what the current LCCS specification requires, and the Lead Learner mindset that lets out-of-field teachers deliver LCCS confidently without performing domain expertise.

Welcome, Confidence Audit and the Lead Learner Mindset
The LCCS Specification: Three Strands, Two Components, and What 2027 Changes

Replaces 'watch me code, now you try' with evidence-based programming pedagogy: computational thinking as named classroom moves, PRIMM and worked examples, explicit debugging instruction, and a sequenced two-year Python progression with programming-specific assessment.

Computational Thinking as Classroom Practice
PRIMM, Worked Examples and Misconception Diagnostics
Teaching Debugging Explicitly
Scaffolding Python Across Two Years and Assessing Programming Progress

Builds subject-knowledge confidence across Strand 2 (Core Concepts) for non-specialists, covering data representation, algorithms, computer systems, networks and the web, and AI/machine learning/computers in society at the level the spec and the SEC written paper actually require.

Teaching Data Representation: Mental Models Before Conversion (for Non-specialists)
Algorithms and Algorithmic Thinking for Non-specialists
Computer Systems, Hardware, Software, and the Operating System for the Written Paper
Networks and the Web: Teaching It Without Drowning Students in Acronyms
AI, Machine Learning and Computers in Society

Builds capability to design and run the four prescribed team-based Applied Learning Tasks across the two-year course, addresses the realistic 3-versus-4 calendar decision honestly, and frames the ALT sequence as deliberate preparation for the individual Coursework Project.

Designing and Running Alts in a Crowded Senior Cycle Calendar
Using Alts as Coursework Project Preparation

Builds Coursework Project supervision capability, the longest assessment-focused module because the Coursework is where good teaching most directly affects outcomes: reading the brief and marking scheme like an examiner, coaching topic selection within the SEC brief, supervising the concentrated eight-to-ten-week window, and applying the six quality descriptors to a sample submission.

Reading the Coursework Project Brief and Marking Scheme Like an Examiner
Coaching Topic Selection and Supervising the Concentrated Coursework Window
Applying the Marking Scheme to a Sample Submission

Gives the 70% written paper its proper share of attention: paper architecture, marking-scheme insights into where students lose marks, year-round exam technique, and a final lesson synthesising the whole course into a Year 5 LCCS plan with a JC-to-LCCS recruitment pipeline and a closing reflection.

The Written Paper, Structure, Question Architecture and Marking Patterns
Marking-scheme Insights, Where Students Lose Marks and Teaching Responses
Exam Technique Across the Year, Question Parsing, Code-question Strategy and Time Management
Your Year Plan, Recruitment Pipeline and Final Reflection

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