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Observing the use of e-textbooks in the classroom:
towards “Offline” Learning Analytics
Maka Eradze, Terje Väljataga & Mart Laanpere, Tallinn University
FeT WS :: International Conference of Web-based Learning, :: Tallinn, Estonia 15 August 2014
Introduction
 Textbook was a book, eTextbook might not be e-book
 Borders disappear: physical & virtual, content &
software, learner & teacher, author & user, school & life,
learning & assessment, professional & user-generated
 Trialogical learning: learning as knowledge creation
through interaction with digital artefacts & tools
 Author gains the most from the textbook, why can’t the
students be coauthors of eTextbooks?
LEARNMIX project
 Aims: to find economically & technologically sustainable,
pedagogigally meaningful solution for next-generation
eTextbooks that can be used across various platforms and usage
contexts.
 Seeking for the road in the middle: new business models for
publishers, aggregating with user-generated content
 Two integrated research directions:
 Human-Computer Interaction: platform-independent interaction
design, ubiquitous interaction, advanced analytics
 Pedagogical scenarios: 1:1 computing, BYOD, outdoor learning,
inquiry-based learning
LEARNMIX vision of eTextbook 2.0
 New pedagogy: eTextbook is not an input to learning, rather output
 LEARNMIX eTextbook 2.0 has three parts:
 Professionally produced, commercially distributed content: simulations,
games, interactive exercises, exams, virtual labs etc
 Content created by teachers: worksheets, project plans, assignments,
exercises, examples
 Content created by students: remixes, products, prototypes, project
reports, presentations, journals
 Requirements for LEARNMIX eTextbook 2.0 software:
 Interoperability framework
 Authoring tools for teachers, delivery tools for publishers
 Cloud-based repositories
 Authoring, mashup & remix tools for students’ BYOD devices
Observing the use of eTextbooks
 Online learning analytics:
 LMS/CMS user tracking
 Spyware installed to iPads
 Content provider’s tracking tools (e.g. Youtube)
 Lesson observation
 Video recording
 Written notes, transcripts
 Lesson observation apps
Unit of analysis
 Online learning analytics:
 Frequency of accessing a digital artifact (Web page)
 Social interactions
 Test scores
 Artifacts produced/edited/shared
 Lesson observation:
 Lesson-level activities, classroom management
 Group/pair level (inter)action series, conversations
 Learner-content interaction level (inter)actions
TinCan API: Lingua Franca fo LA
 Statements similar to Activity Stream:
Hans submitted homework assignment No.5 a
minute ago
 Learning Record Store: statements on timeline
 Freedom of:
 Statement (noun, verb, object)
 History (combining LRSs)
 Device (also physical, not connection needed)
 Workflow (not bound to one LMS)
Lesson observation apps
Conclusions
 Today it is difficult to combine online and offline
monitoring data on the use of eTextbooks
 Even the best lesson observation apps are not good
enough: usability, affordances, units of analysis
 Need for common vocabulary and units of analysis,
TinCan API has a potential to become one
 Need for lesson observation apps compatible with
TinCan Api, delivering notes directly to LRS

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Observing the use of e-textbooks in the classroom: towards “Offline” Learning Analytics

  • 1. Observing the use of e-textbooks in the classroom: towards “Offline” Learning Analytics Maka Eradze, Terje Väljataga & Mart Laanpere, Tallinn University FeT WS :: International Conference of Web-based Learning, :: Tallinn, Estonia 15 August 2014
  • 2. Introduction  Textbook was a book, eTextbook might not be e-book  Borders disappear: physical & virtual, content & software, learner & teacher, author & user, school & life, learning & assessment, professional & user-generated  Trialogical learning: learning as knowledge creation through interaction with digital artefacts & tools  Author gains the most from the textbook, why can’t the students be coauthors of eTextbooks?
  • 3. LEARNMIX project  Aims: to find economically & technologically sustainable, pedagogigally meaningful solution for next-generation eTextbooks that can be used across various platforms and usage contexts.  Seeking for the road in the middle: new business models for publishers, aggregating with user-generated content  Two integrated research directions:  Human-Computer Interaction: platform-independent interaction design, ubiquitous interaction, advanced analytics  Pedagogical scenarios: 1:1 computing, BYOD, outdoor learning, inquiry-based learning
  • 4. LEARNMIX vision of eTextbook 2.0  New pedagogy: eTextbook is not an input to learning, rather output  LEARNMIX eTextbook 2.0 has three parts:  Professionally produced, commercially distributed content: simulations, games, interactive exercises, exams, virtual labs etc  Content created by teachers: worksheets, project plans, assignments, exercises, examples  Content created by students: remixes, products, prototypes, project reports, presentations, journals  Requirements for LEARNMIX eTextbook 2.0 software:  Interoperability framework  Authoring tools for teachers, delivery tools for publishers  Cloud-based repositories  Authoring, mashup & remix tools for students’ BYOD devices
  • 5. Observing the use of eTextbooks  Online learning analytics:  LMS/CMS user tracking  Spyware installed to iPads  Content provider’s tracking tools (e.g. Youtube)  Lesson observation  Video recording  Written notes, transcripts  Lesson observation apps
  • 6. Unit of analysis  Online learning analytics:  Frequency of accessing a digital artifact (Web page)  Social interactions  Test scores  Artifacts produced/edited/shared  Lesson observation:  Lesson-level activities, classroom management  Group/pair level (inter)action series, conversations  Learner-content interaction level (inter)actions
  • 7. TinCan API: Lingua Franca fo LA  Statements similar to Activity Stream: Hans submitted homework assignment No.5 a minute ago  Learning Record Store: statements on timeline  Freedom of:  Statement (noun, verb, object)  History (combining LRSs)  Device (also physical, not connection needed)  Workflow (not bound to one LMS)
  • 9. Conclusions  Today it is difficult to combine online and offline monitoring data on the use of eTextbooks  Even the best lesson observation apps are not good enough: usability, affordances, units of analysis  Need for common vocabulary and units of analysis, TinCan API has a potential to become one  Need for lesson observation apps compatible with TinCan Api, delivering notes directly to LRS