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Interactive and Personalized Activity eBooks for Learning to Read: The iRead Case

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Presented at the First Workshop on Intelligent Textbooks (Chicago, IL, US; June 25, 2019)

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Interactive and Personalized Activity eBooks for Learning to Read: The iRead Case

  1. 1. Interactive and Personalized Activity eBooks for Learning to Read The iRead Case Panagiotopoulos Dionysios National and Technical University of Athens authors: N. Deligiannis, D. Panagiotopoulos, P. Patsilinakos, C. Raftopoulou, A. Symvonis
  2. 2. What is the iRead? “Infrastructure and integrated tools for personalized learning of reading skills” *European Union Horizon-2020 funded project • Software infrastructure of personalized, adaptive technologies (domain models, profiles, linguistic resources) • A set of applications (NAVIGO, AMIGO) • “Authorless” eBook creator 2The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago
  3. 3. User’s typical work-flow 3The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago Register/Login Select games and size eBook synthezither ContentActivity* Download and play
  4. 4. System architecture 4The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago eBook synthesizer UI Android device – eBook reader Local save/sync server Content provider iRead
  5. 5. Domain Model Features (vertices) Prerequisite relations (edges) English 279 4,457 Greek 446 17,552 German 316 748 Spanish 326 17,290 5  Models • English, Greek, Spanish, German, EFL, Dyslexia (English, Greek) • Directed Acyclic Graph (DAG)  Features (separate linguistic objects)  Relations (prerequisites) The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago Profiles • Competence • Unlocked
  6. 6. Profile – Feature unlocking 6The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago Not enough incoming flow Unlock from incoming flow Unlock by competence
  7. 7. Adaptivity and Personalization 7The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago Model Profile Content Synthesizer eBook Update Profile
  8. 8. Thank you 8The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago
  9. 9. Game description Mini Game Description Cleomatchra The learner connects pairs of strings to form full words. (PickaTale) Perilous paths The learner selects a string (word or sentence) over three possible options, to complete a sentence or answer a question. (PickaTale) Remove the runes The learner selects all words from a given list that have a specific property. (Patakis). Sliceophagus The learner splits compound words to stems. (PickaTale) Bridgyptian The learner selects a number of string compounds from an available set and places them in an appropriate order so that she creates a word or a sentence. Some string compounds may have a predefined, fixed placement. (PickaTale) Raft rapid re Words appear sequentially on the learner's screen. The learner must “hit” all words that have a predefined property. (Patakis) 9The 20th International Conference on Artificial Intelligence in Education - AIED'2019 June 2019, Chicago

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