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Math trainer as a chatbot via
system(push) messages for
Android
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
2
Thema oder andere gleichbleibende Information
Table of contents
1. Introduction
2. Goals and problems
3. Technologies
4. Implementation
5. Results
6. Conclusion
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
3
Introduction
Chatbots
What are they?
computer program designed to simulate
conversations with human users
intelligent software clients with the possibility of
interaction (texting, speaking)
designed to mimic human behavior and responses
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
4
Introduction
Chatbots
History
ELIZA - first chatbot occurrence
dates back to 1966
invented for multiple goals, one of those to pass
the Turing test
ALICE
started development of AIML (Artificial
Intelligence Markup Language)
SmarterChild, Watson AI
Bixby, Siri, Alexa, Cortana
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
5
Introduction
Chatbots in education
Why?
conducted studies have shown advantages in
learning environments
rise in motivation
feeling more comfortable
improved communication and information
processing
increase of engagement
way of building long-lasting knowledge
easier and faster learning of new topics
productivity increase
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
6
Introduction
Chatbots in education
Steve
human-like shape chatbot, provided both textual
and voice support
Sam
human child shape with the goal of improving
basic children abilities
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
7
Introduction
Chatbots in education
Autotutor
combines latent semantic analysis with a
database of questions
establishes a dialogue with the user
Guilly
voice assistant chatbot that taught children how
to recycle
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
8
Introduction
Category of chatbots
Different types and categories of chatbots
different domains
different purpose
generic chatbots answer user questions from any
domain
Chorus - Google Hangouts chatbot
cross/open-domain chatbots can be used in more
than one field/domain
Guardian, AskWiz
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
9
Introduction
Category of chatbots
closed domain chatbots are focused on one specific
domain
Legion Mobile, Snaptravel
informative chatbots
conversational chatbots
have Artificial Intelligence and NLP
establishes human-like conversations
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
10
Goals and problems
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
11
Goals and problems
Educational mathematical applications
mathematical subjects are at first hard to understand
practice and repetition of exercises are required
students are not in the center
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
12
Goals and problems
Purpose and goal
show the effectiveness and usefulness of chatbots
improve mathematical skills with push notifications
continuous improvement
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
13
Goals and problems
Research questions
Can a chatbot help to foster mathematical skills for
children?
Can push notifications help learning engagement?
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
14
Technologies
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
15
Technologies
Concepts and conditions
android as the chosen OS
owned by Google
open-source
mostly used on mobile phones and tablets
built on a Linux-based kernel
SDK
GIT - version control system
app expandability
easy to add new features (trainers)
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
16
Technologies
Frontend Technologies
mockups - showcase of a design implementation idea
XML - extensible markup language
transmit and save data
layout editor - tool to create layouts
generates XML code for every element added
has a lot of widgets
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
17
Technologies
Backend Technologies
application program interface
way of communication between applications
supplies data to the client
SharedPreferences - interface that enables storing
data on the phone
java - object-oriented programming language
threads - virtual CPU that allows parallel task
execution
gradle - automated build tool
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
18
Implementation
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
19
Implementation
Approach
authentication using SOAP library from LearningLab
android OS level higher than 26
model-view-controller
notification scheduling
alarmManager
notificationManager
threads
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
20
Implementation
Login Screen Home Screen
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
21
Implementation
Trainer selection Time interval selection
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
22
Implementation
Toast for a correct
answer
Toast for a wrong
answer
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
23
Implementation
Trainers
1x1 trainer
multiplication basics
two game modes
plus minus trainer
subtraction and addition
two game modes
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
24
Implementation
Questions
numbers and result for mathematical operations
provided from LearningLab API
chosen randomly from a pool of questions
answer is checked with the API as well
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
25
Results
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
26
Results
Review of the children feedback I
18 participants
thumb rating system
How satisfied are you with the app?
12 very satisfied, 5 satisfied, 1 not so satisfied, 0
not satisfied at all
Was the app helpful?
4 very helpful, 2 helpful, 6 not so helpful, 6 not
helpful at all
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
27
Results
Review of the feedback II
Was the app easy to use?
18 very easy
Was the app interesting?
3 very interesting, 2 interesting, 6 not so
interesting, 7 not interesting at all
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
28
Results
Thumb rating system
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
29
Results
Teacher feedback
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
30
Results
Statistics
every square box is a student
star rating system
full green star - very good/correct
half green star - good/correct
red star - wrong
empty star - not answered
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
31
Results
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
32
Results
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
33
Results
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
34
Results
Review of statistics
good correct to wrong ratio
high number of unanswered questions
possible API timeout
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
35
Conclusion
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
36
Conclusion
Lessons learned
chatbots are still an evolving technology
improvement of children’s math skills
educational applications could be the new learning
standard
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
37
Conclusion
Improvements and further work
new questions
new trainers
improved user interface
sound effects
haptic feedback
vibration
screen shake
data base
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022
38
Thank you!
Questions?
Mirza Kabiljagic, Institute of Interactive Systems and Data Science
26. Juni 2022

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Math trainer as a chatbot via system(push) messages for Android

  • 1. W I S S E N T E C H N I K L E I D E N S C H A F T https://www.tugraz.at/institutes/isds/home/ Math trainer as a chatbot via system(push) messages for Android Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 2. 2 Thema oder andere gleichbleibende Information Table of contents 1. Introduction 2. Goals and problems 3. Technologies 4. Implementation 5. Results 6. Conclusion Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 3. 3 Introduction Chatbots What are they? computer program designed to simulate conversations with human users intelligent software clients with the possibility of interaction (texting, speaking) designed to mimic human behavior and responses Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 4. 4 Introduction Chatbots History ELIZA - first chatbot occurrence dates back to 1966 invented for multiple goals, one of those to pass the Turing test ALICE started development of AIML (Artificial Intelligence Markup Language) SmarterChild, Watson AI Bixby, Siri, Alexa, Cortana Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 5. 5 Introduction Chatbots in education Why? conducted studies have shown advantages in learning environments rise in motivation feeling more comfortable improved communication and information processing increase of engagement way of building long-lasting knowledge easier and faster learning of new topics productivity increase Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 6. 6 Introduction Chatbots in education Steve human-like shape chatbot, provided both textual and voice support Sam human child shape with the goal of improving basic children abilities Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 7. 7 Introduction Chatbots in education Autotutor combines latent semantic analysis with a database of questions establishes a dialogue with the user Guilly voice assistant chatbot that taught children how to recycle Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 8. 8 Introduction Category of chatbots Different types and categories of chatbots different domains different purpose generic chatbots answer user questions from any domain Chorus - Google Hangouts chatbot cross/open-domain chatbots can be used in more than one field/domain Guardian, AskWiz Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 9. 9 Introduction Category of chatbots closed domain chatbots are focused on one specific domain Legion Mobile, Snaptravel informative chatbots conversational chatbots have Artificial Intelligence and NLP establishes human-like conversations Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 10. 10 Goals and problems Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 11. 11 Goals and problems Educational mathematical applications mathematical subjects are at first hard to understand practice and repetition of exercises are required students are not in the center Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 12. 12 Goals and problems Purpose and goal show the effectiveness and usefulness of chatbots improve mathematical skills with push notifications continuous improvement Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 13. 13 Goals and problems Research questions Can a chatbot help to foster mathematical skills for children? Can push notifications help learning engagement? Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 14. 14 Technologies Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 15. 15 Technologies Concepts and conditions android as the chosen OS owned by Google open-source mostly used on mobile phones and tablets built on a Linux-based kernel SDK GIT - version control system app expandability easy to add new features (trainers) Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 16. 16 Technologies Frontend Technologies mockups - showcase of a design implementation idea XML - extensible markup language transmit and save data layout editor - tool to create layouts generates XML code for every element added has a lot of widgets Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 17. 17 Technologies Backend Technologies application program interface way of communication between applications supplies data to the client SharedPreferences - interface that enables storing data on the phone java - object-oriented programming language threads - virtual CPU that allows parallel task execution gradle - automated build tool Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 18. 18 Implementation Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 19. 19 Implementation Approach authentication using SOAP library from LearningLab android OS level higher than 26 model-view-controller notification scheduling alarmManager notificationManager threads Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 20. 20 Implementation Login Screen Home Screen Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 21. 21 Implementation Trainer selection Time interval selection Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 22. 22 Implementation Toast for a correct answer Toast for a wrong answer Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 23. 23 Implementation Trainers 1x1 trainer multiplication basics two game modes plus minus trainer subtraction and addition two game modes Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 24. 24 Implementation Questions numbers and result for mathematical operations provided from LearningLab API chosen randomly from a pool of questions answer is checked with the API as well Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 25. 25 Results Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 26. 26 Results Review of the children feedback I 18 participants thumb rating system How satisfied are you with the app? 12 very satisfied, 5 satisfied, 1 not so satisfied, 0 not satisfied at all Was the app helpful? 4 very helpful, 2 helpful, 6 not so helpful, 6 not helpful at all Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 27. 27 Results Review of the feedback II Was the app easy to use? 18 very easy Was the app interesting? 3 very interesting, 2 interesting, 6 not so interesting, 7 not interesting at all Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 28. 28 Results Thumb rating system Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 29. 29 Results Teacher feedback Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 30. 30 Results Statistics every square box is a student star rating system full green star - very good/correct half green star - good/correct red star - wrong empty star - not answered Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 31. 31 Results Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 32. 32 Results Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 33. 33 Results Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 34. 34 Results Review of statistics good correct to wrong ratio high number of unanswered questions possible API timeout Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 35. 35 Conclusion Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 36. 36 Conclusion Lessons learned chatbots are still an evolving technology improvement of children’s math skills educational applications could be the new learning standard Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 37. 37 Conclusion Improvements and further work new questions new trainers improved user interface sound effects haptic feedback vibration screen shake data base Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022
  • 38. 38 Thank you! Questions? Mirza Kabiljagic, Institute of Interactive Systems and Data Science 26. Juni 2022