The Adventures of Sherlock Holmes - Level 4

Titles include popular classics, exciting contemporary fiction, and thought-provoking non-fiction, introducing language learners to bestselling authors and compelling content. The eight levels of Penguin Readers follow the Common European Framework of Reference for language learning (CEFR). Exercises at the back of each Reader help language learners to practise grammar, vocabulary, and key exam skills. Before, during and after-reading questions test readers’ story comprehension and develop vocabulary. The Adventures of Sherlock Holmes, a Level 4 Reader, is A2+ in the CEFR framework. The text is made up of sentences with up to three clauses, introducing more complex uses of present perfect simple, passives, phrasal verbs and simple relative clauses. It is well supported by illustrations, which appear regularly. Sherlock Holmes is an intelligent detective who works with his friend Dr Watson. In The Adventures of Sherlock Holmes Watson and Holmes find the answer to four different and exciting mysteries. Visit the Penguin Readers website Exclusively with the print edition, readers can unlock online resources including a digital book, audio edition, lesson plans and answer keys.

Product details

• Authors: Nick Bullard, Arthur Conan Doyle, Arthur Conan Doyle, Arthur Conan (Sir) Doyle
• Publisher: Penguin Books Uk
• Languages: English
• Age Recommendation: ages 12 to 17
• Product format: Paperback
• Released: 27.02.2025
• EAN: 9780241700426
• ISBN: 978-0-241-70042-6
• No. of pages: 80
• Dimensions: 129 mm x 198 mm x 15 mm
• Series: Penguin Readers
• Subjects: Education and learning; Classics, English, YOUNG ADULT FICTION / Mysteries & Detective Stories, JUVENILE FICTION / Readers / Chapter Books, Crime & mystery fiction (Children's / Teenage), Children’s / Teenage fiction: Crime and mystery fiction, Interest age: from c 12 years, Children’s / Teenage fiction: Classic fiction, Classic fiction (Children's / Teenage), Designed for home learning, For home learning / Self-study / autonomous learning