Revision Techniques Powered by AI
November 19, 2024
AI can supercharge revision – but only when it rests on solid cognitive science rather than endless practice questions. This article shows how to “bolt” AI onto proven techniques like spaced repetition, retrieval practice, interleaving and exam-style questions, without diluting desirable difficulty. You will find parallel workflows for teachers and students, with concrete subject examples and ready-to-use routines. We also explore how to avoid over-reliance, cheating and cognitive offloading, so learners stay in charge of their thinking. A practical, research-informed playbook for exam preparation in any subject or school system.
Two Years of ChatGPT in Schools
November 15, 2024
Two years after ChatGPT’s launch, schools worldwide have moved from panic and plagiarism fears to more mature, policy-aligned use. This article offers a longitudinal “report card” on ChatGPT in education, comparing 2022–23 with 2023–24 across policy, classroom practice and student outcomes. Through concrete case vignettes and a simple self-audit maturity model, school leaders and teachers can benchmark where they sit on the adoption curve, spot gaps, and plan the next two years of AI integration with confidence and care.
Redefining Originality: Assessment in 2024
September 25, 2024
As generative AI becomes a normal part of students’ lives, traditional ideas of “original work” are under pressure. Instead of trying to catch AI-assisted cheating, teachers can redesign assessments so that authentic process, personal voice and contextualised evidence matter more than the final product. This article offers a practical playbook for reworking existing tasks into “originality by design” assessments, with concrete examples, rubrics and classroom routines. You will find strategies that make AI a transparent, bounded part of learning, rather than something to fear or detect.
AI Detection Accuracy: The Evidence
September 19, 2024
AI writing detectors promise to spot ChatGPT-style text, but independent research paints a far more complicated picture. This article synthesises what studies actually show about Turnitin, GPTZero and similar tools: their accuracy, false positives and worrying biases, especially for multilingual and high‑performing students. It then translates that evidence into concrete guidance for schools on when not to use detectors, how to respond to AI flags, and what to do instead. The goal is a fair, defensible approach to assessment that protects academic integrity without harming the very learners we aim to support.
LGR22 in Practice: AI for New Teachers
September 16, 2024
Starting a new term with LGR22 can feel like learning a new professional language, especially for newly qualified and international teachers. This guide offers a practical “translation layer”: how to use AI to turn the syllabus components (syfte, centralt innehåll by stage, and betygskriterier E/C/A) into a coherent planning-and-assessment workflow. You’ll see worked examples, built-in checks to avoid treating centralt innehåll as cumulative, and a Year 6 rubric model that helps you calibrate grading with confidence and consistency.
OpenAI o1: reasoning models for teachers
September 13, 2024
OpenAI’s new o1 (Strawberry) model is the first “reasoning‑first” AI many teachers will encounter. It does not just answer quickly; it works through problems step by step, using deliberate chains of thought and tools along the way. This article explains what that actually looks like in practice, how it differs from GPT‑4o, and what it means for everyday classroom and assessment workflows. You will find concrete examples for modelling reasoning, generating worked solutions and supporting marking, alongside clear guidance on exams, academic integrity and practical rollout in schools.
AI Marking at Scale: Lessons from Universities
August 22, 2024
Universities have been early adopters of AI-assisted marking, moving beyond hype to build practical systems that work at scale. This article distils what they have actually done – from moderation models, calibration routines and governance structures to student communication and union engagement – and translates those lessons into realistic workflows for schools. You will find concrete examples of AI-ready rubrics, feedback templates and phased roll-out plans that fit within existing assessment systems, while respecting exam-board rules, safeguarding and data protection requirements.
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.
Differentiate Your Teaching with AI
May 22, 2024
Announcing the new **Difficulty Adjuster** feature in the Automated Education app! This innovative tool allows educators to effortlessly tailor the complexity of texts and questions to match their students' abilities. Simply input your content, specify the desired difficulty level, and let the AI do the rest. Ideal for personalised learning, this tool saves time, boosts engagement, and ensures materials are appropriate for every student’s skill level. Whether for reading comprehension, exam preparation, or homework assignments, the Difficulty Adjuster simplifies differentiation, leading to better educational outcomes. Try it now and enhance your teaching toolkit!
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.
Introducing the Summariser Tool
April 26, 2024
Educators, save valuable time with our new Summariser Tool, designed to distil lengthy texts into concise summaries using advanced AI. Perfect for research papers, educational articles, and more, this tool offers customisable summary lengths and supports multiple languages. Streamline your workflow, enhance understanding, and boost productivity by quickly grasping key points without wading through pages of information. Try it today and see how it can transform your teaching strategies and decision-making processes. Join us in revolutionising education with Automated Education’s latest innovation!
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.
Generate Tailored Quizzes
February 12, 2024
Introducing the latest feature in the Automated Education app: the **Quiz Generator**. Perfect for educators, this tool allows you to create custom quizzes tailored to your specific teaching needs. With a variety of question types including multiple choice, true or false, fill in the blank, and more, you can easily generate diverse and engaging quizzes. Designed to be user-friendly, the Quiz Generator helps you integrate fun and educational quizzes into your lessons, making learning enjoyable and improving student engagement and retention. Try the Quiz Generator today and enhance your teaching strategy effortlessly!