Designing AI‑Resilient Assessments
July 8, 2024
Generative AI has changed how students complete written work, but it does not have to undermine meaningful assessment. This article offers a step‑by‑step playbook for designing ‘AI‑resilient’ portfolio, oral and practical assessments that focus on learning rather than policing. You will find ready‑to‑copy task briefs, sample rubrics and clear AI usage rules that can be dropped straight into existing units without rewriting your whole curriculum. The aim is not to ban AI, but to design assessments where authentic understanding, process and performance still matter most.
National Tests and LGR22: Skill Sprints
May 14, 2024
Nationella prov can be a helpful checkpoint, but they should not drive day-to-day teaching. This article sets out an LGR22-first preparation model for Years 3, 6 and 9 that builds transferable reading stamina, mathematical reasoning, and higher-quality written responses without past-paper drilling. You’ll use short, low-stakes “skill sprints” two or three times a week, supported by four small AI micro-tools that generate mixed retrieval practice, 1,000-word expository reading sets, percentage and proportionality word problems, and E/C/A exemplars for moderation and feedback.
5 Ways Students Use AI Unethically
May 3, 2024
As artificial intelligence (AI) becomes more prevalent in education, it brings both opportunities and challenges. This post examines five ways students might misuse AI, from generating essays to cheating on exams. It also provides practical strategies for teachers to uphold academic integrity and prevent AI-related cheating. By fostering a culture of ethical AI use, educators can ensure that AI enhances learning rather than undermines it, helping students to develop genuine skills and knowledge.
The Ethical Quandary of AI Detection in Education
April 18, 2024
In the thought-provoking post we'll explore the complex challenge of identifying AI-generated content in academic settings, drawing parallels with the evolution of digital photography and its impact on authenticity. The post delves into the sophisticated nature of AI text generators like GPT-3.5 and GPT-4, which produce content nearly indistinguishable from human writing, raising significant ethical concerns. It discusses the limitations of current AI detection tools, the potential for false positives, and the bias against non-native English writers.
LGR22 grading criteria: AI model answers
February 14, 2024
LGR22’s E/C/A descriptors are intentionally holistic, which can make moderation feel slippery and subjective. This article offers a moderation-first workflow that uses AI to translate the qualitative language of LGR22 into “observable evidence” without sliding back into LGR11-style tick-box marking. You’ll get three fully worked exemplars you can copy and adapt: History model answers with justification notes, a Chemistry question set that climbs from recall to analysis, and a responsible “difficulty adjuster” method that steps an A-level response down to C then E with a clear change log.
Automated Assessment with AI
January 16, 2024
Explore the revolutionary advancements in automated assessment tools within the education sector, as discussed by a teacher delving into the capabilities of AI in grading and providing feedback. The post examines the profound impact of natural language processing on evaluating written responses, the application of AI in offering consistent critiques on projects, and its emerging role in assessing creative work. While acknowledging the efficiency gains, the importance of human insight and the necessity for a balanced approach between automated and personal assessment is emphasised, ensuring education retains its inspirational and nurturing essence.