Lecture Note-Taking Trainer
Students listen to a short lecture and take notes. The app compares their notes with the key points and the signposting language that marks the lecture’s structure.
AI-supported apps for academic English. Each app targets one real skill students need at university, gives feedback that makes them do the thinking, and runs in any browser with no sign-in.
New apps are added as they’re built and tested with students.
Students listen to a short lecture and take notes. The app compares their notes with the key points and the signposting language that marks the lecture’s structure.
Students hear a passage twice, then reconstruct it in their own words. Feedback covers both meaning (what they kept or lost) and grammar.
Timed skimming and scanning tasks with a main-idea check, so speed never comes at the cost of understanding. Reading speed is tracked over time.
Students paste a paragraph and see it labelled: topic sentence, evidence, analysis and link. The app flags which parts are missing or weak.
Students combine two short sources in one piece of writing and get feedback on how well they integrate the ideas and cite them.
Instead of fixing mistakes, the app marks them with error codes teachers already use, like VT (verb tense) and Art (article), so students correct their own writing.
Transformation drills that turn everyday sentences into academic ones: verbs become nouns (“analyse” → “analysis”), and claims are softened appropriately (“may suggest”).
Students turn informal language into academic language (“a lot of” → “a considerable number of”) and learn why each choice fits the academic register.
The apps give hints, codes and comparisons instead of correct answers, so students do the thinking and remember more.
Each tool targets a specific academic skill, like signposting, paragraph structure or hedging, and fits into existing lessons or self-study.
No accounts and no installs: open the link and start. Student work stays on their own device.