Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Mobile Learning Applications for German Language Acquisition

291 views

Published on

Präsentation Masterarbeit, TU Graz, November 2019

Published in: Education
  • Be the first to comment

  • Be the first to like this

Mobile Learning Applications for German Language Acquisition

  1. 1. Master’s Thesis Mobile Learning Applications for Android and iOS for German Language Acquisition based on Learning Analytics Measurement Markus Friedl Supervisor: Priv.-Doz. Dipl.-Ing. Dr.techn. Martin Ebner Co-Advisor: Dipl.-Ing. Markus Ebner 31.10.2019
  2. 2. Content Initial situation Technical setup / Interfaces Development Evaluation 2 Application
  3. 3. Initial Situation 3 Chalk and talk http://www.bpb.de/gesellschaft/bildung/zukunft-bildung/190322/geschichte-des-lernens-mit-lehre?p=all https://www.meinbezirk.at/graz/c-menue/schule-20-lernen-ohne-papier_a1231471
  4. 4. Problem Definition ❖ Mobile application for German language acquisition ❖ Different exercise formats and tasks ❖ Overview of learning progress ❖ Target group: elementary school children ❖ Track user interactions ❖ User experience test 4
  5. 5. Technical Setup & Interfaces ❖ User Management of IDeRBlog ❖ API for exercise data ❖ Exercises ❖ Tasks ❖ Logs ❖ User statistics 5
  6. 6. Development of the Application ❖ Native applications ❖ Android - Kotlin ❖ iOS/iPadOS - Swift ❖ Child-friendly user interface ❖ Offline support ❖ Integration tests for API 6 https://www.techrepublic.com/article/why-the-new-android-update-system-might-confuse-users/ https://de.wikipedia.org/wiki/Datei:Kotlin-logo.svg https://de.wikipedia.org/wiki/Datei:IOS_logo.svg https://developer.apple.com/swift/
  7. 7. Application - Login Screen Android iOS 7
  8. 8. Home Screen 8
  9. 9. Exercise List ❖ List of exercises ❖ Title ❖ Description ❖ Number depends on reached points 9
  10. 10. Keywords ❖ Different number of words ❖ Optional: ❖ Mark difficult parts ❖ Timer 10
  11. 11. Keywords ❖ Optional: ❖ Timer ❖ Text input ❖ Points for correct written words 11
  12. 12. Exercise Summary ❖ Every task correct: positive feedback ❖ Tasks with mistakes: constructive feedback 12
  13. 13. Error Locations ❖ Detect wrong words by a tap ❖ Select justifications ❖ Points for correct justifications without any mistakes 13
  14. 14. Insert ❖ Some gaps in text ❖ single characters ❖ whole words ❖ Text input ❖ Points if all gaps correct 14
  15. 15. Match - Drag & Drop ❖ White box moveable by drag & drop gesture ❖ Allocation to different word categories ❖ Points for correct allocation 15
  16. 16. Match - Write ❖ Word is spoken ❖ Allocation to different word categories ❖ Points for correct allocation or spelling 16
  17. 17. Wheel of Fortune ❖ Word is spoken ❖ Text input ❖ Points for correct spelling 17
  18. 18. Evaluation - Questionnaire 18 BUNG: USER: PC iPad Ich ss e, as die A fgabens ell ng ar. Ich konn e die A fgabe selber l sen. Es ha mir Spa gemach ben. Ich m ch e die b ng a ch ha se machen.
  19. 19. Evaluation - Result 19 I had understood the assignment definition. I was able to solve the problems myself. I had fun to practice. I would also like to do the exercise at home. Error locations 1 1 1,2 1,2 Insert 1,2 1 1,2 1,2 Keywords - Easy 1 1 1 1 Keywords - Hard 1 1 1 1 Match - Drag & Drop 1 1 1 1,2 Match - Write 1 1 1 1,5 Wheel of fortune 1 1 1 1 Average 1,03 1 1,06 1,16
  20. 20. Conclusion ❖ Cooperation works very well ❖ Changing requirements during development ❖ Beginning: difficult to design a child-friendly UI ❖ First prototype well accepted ❖ Good base for further development 20
  21. 21. Future work ❖ Support of “Intelligente Wörterbuch” (IDeRBlog) ❖ Badges for earned points ❖ Use without login ❖ Support smartphones ❖ New exercise formats 21
  22. 22. Markus Friedl Mobile Learning Applications for Android and iOS for German Language Acquisition based on Learning Analytics Measurement

×