Identifying priority gaps: define 2–4 key goals per student (or for small clusters of students), with observable success criteria.2026 end-of-year assessmentsProposed activities and sequence: graded exercises, alternative explanations, short and frequent tasks, prerequisite catch-up activities, indicating estimated time and level of support.personalized catch-up plansSchedule and sustainability: organize the pathway into short units (micro-modules), alternating guided work and autonomy, and planning formative check-in checkpoints.AI in schoolsMaterials and assessments: generate or adapt prompts, examples, rubrics, and tests consistent with the goals, avoiding dispersion and maintaining alignment between activities and assessment.StudierAIThe added value is the speed with which you move from diagnosis to design, while maintaining traceability and coherence. If you want to explore the workflow and build the first plans, you can
and test how AI can lighten the most repetitive phases, leaving you more time for instructional leadership and for engaging with students.
Implementation and communication: organize the catch-up work, involve families, and measure resultstight timelinesA good plan, on its own, is not enough: you need clear implementation. In organizational terms, the logic of
often works: students with similar needs work together on a micro-goal, while others follow different pathways. This reduces fragmentation and makes catch-up management sustainable even with limited resources. Digital teaching helps distribute differentiated materials and collect evidence in an orderly way.a few essential goalsTo engage students and families, the main lever is transparency: share goals, timelines, and success criteria. In practice, it is useful to communicate:
From grades to evidence: which data to use to design targeted catch-up pathways
The end-of-year grade is a summary indicator: useful for certifying an outcome, insufficient for designing an intervention. To build personalized catch-up plans you needHow evidence of progress will be collected (checkpoints) and what happens if the goal has not yet been reached (plan adjustment).that describe what the student can do, what they cannot do, and under what conditions (with guidance, independently, with extra time, etc.). The main sources, often already available in the school, are: written and oral tests, authentic tasks, assessment rubrics, systematic observations, common department assessments, and digital products (exercises on platforms, classroom assignments, portfolios).
The “data → plan” transformation works when three clear instructional steps are taken:
- who we are
- sign up for free
- StudierAI
This approach is consistent withdigital teaching: not because “the platform does everything,” but because it makes it easier to collect traces, organize evidence, distribute differentiated activities, and document progress transparently.
How AI supports digital teaching in catch-up work: strategies, activities, and formative assessment
Used thoughtfully,AI in schoolscan support teachers’ work in five operational areas, particularly useful after the 2026 end-of-year assessments:
- Breaking down into micro-goals: AI can help split a broad competency into progressive steps, with explicit success criteria.
- Graded exercises and variants: for the same goal, propose activities with increasing difficulty, or “with guidance” (scaffolding) and “independent” versions.
- Alternative explanations: rephrasings, different examples, analogies, text-based concept maps, linguistic simplification without trivializing the content.
- Progress monitoring: collecting short, frequent evidence (exit tickets, mini-quizzes, quick submissions) to immediately understand whether the pathway is working.
- Formative feedback: action-oriented comments (what to improve and how), with attention to typical errors and study strategies.
The central point is that AI does not replace the teacher’s professional judgment in assessment: it strengthens it. The teacher remains responsible for goals, criteria, inclusion, safety, and coherence with the curriculum plan. AI speeds up the production of proposals and alternatives, reducing “desk time” and increasing “teaching time.”
StudierAI in practice: creating personalized catch-up plans starting from end-of-year assessments
An effective, replicable, and sustainable operational workflow can be built with the help ofStudierAI, while always keeping instructional control in the teacher’s hands. In practice, the process can follow these steps.
- Collecting and reading data: end-of-year outcomes, significant assessments, rubrics, notes on recurring errors and missing prerequisites. Even an essential summary is sufficient, if well structured.
- Identifying priority gaps: define 2–4 key goals per student (or for small clusters of students), with observable success criteria.
- Proposed activities and sequence: graded exercises, alternative explanations, short and frequent tasks, prerequisite catch-up activities, indicating estimated time and level of support.
- Schedule and sustainability: organize the pathway into short units (micro-modules), alternating guided work and autonomy, and planning formative check-in checkpoints.
- Materials and assessments: generate or adapt prompts, examples, rubrics, and tests consistent with the goals, avoiding dispersion and maintaining alignment between activities and assessment.
The added value is the speed with which you move from diagnosis to design, while maintaining traceability and coherence. If you want to explore the workflow and build the first plans, you canstart for freeand test how AI can lighten the most repetitive phases, leaving you more time for instructional leadership and for engaging with students.
Implementation and communication: organize the catch-up work, involve families, and measure results
A good plan, on its own, is not enough: you need clear implementation. In organizational terms, the logic offlexible groupsoften works: students with similar needs work together on a micro-goal, while others follow different pathways. This reduces fragmentation and makes catch-up management sustainable even with limited resources. Digital teaching helps distribute differentiated materials and collect evidence in an orderly way.
To engage students and families, the main lever is transparency: share goals, timelines, and success criteria. In practice, it is useful to communicate:
- Which competencies will be recovered (in operational terms, not just “topics”).
- Which activities are planned and how often (study, exercises, short checks).
- How evidence of progress will be collected (checkpoints) and what happens if the goal has not yet been reached (plan adjustment).
Measuring results means comparing initial and final evidence, not just “giving a test.” A good practice is to plan a final assessment aligned with the goals (same type of task, comparable difficulty) and document the intermediate steps: mini-assessments, corrected errors, increasing autonomy. This makes the pathway defensible, clear, and useful also for the start of the new school year.
In summary: after the 2026 end-of-year assessments, personalization is the most effective response to the real complexity of classrooms. With AI and well-designed digital teaching, catch-up work can become more targeted, more motivating, and more sustainable for teachers. To learn more about the approach and the project’s goals you can visitwho we are, orsign up for freeonStudierAIand start building personalized catch-up plans from the evidence you already collect every day.
