This is the summary of xAPI design cohort project from "Team xAPI Profilers".

1. xAPI Project Briefing
& Future Plan
Team xAPI Profilers
Roger, Five, James, Michael, Laura, Raymond
Jessie Chuang (classroom-aid.com)

2. Cohort Project Outline
● Use MOOC platform(Proera) and a mini course -
“Learning Architect” as a test vehicle
● Limited resources and time, so other data are from:
○ Bookmarking add-on in browser
○ Statement generator
○ Collect records from Classroom-aid.com site
● The collaboration is crucial
● Instructional Designer - What to track, Asking questions, Analytics
planning, Learning Design leveraging xAPI ….
● Programmer - xAPI scripts implementation, Reporting visualization, LRS
+ authentication ….

3. Learning records from:
- Mainly xAPI tracking
inside Proera
- Bookmarking add-on in
browser
- Statement generator
- Collect records from
Classroom-aid.com site

4. Top 10 verbs
Top 10 Activity types
Top 10 Activity names
Top 10 Users
…...
Instructor Overview 1

5. Instructor Overview 2

6. Spent time by
course unit
Instructor Overview 3

7. - Video watching : Usage
stat. per minute
- who also watched
Instructor Overview 4

8. DEI LRS
School management
systems (SIS, gradeboo
Career development,
ePortfolios
Learning Apps
Others
- Learners own personal accounts
- Dashboard (Activity timeline, verb
cloud, activity cloud/stat.)
- Can read xAPI statements
- Social elements
- Gamification elements
- Support Oauth 1.0 authentication
- Future plan:
--- A personal learning locker storing data of
all learning experiences (Data integration)
--- Open API

9. Personal Learning Records Timeline

10. Personal Learning Activity Chart

11. See who’s learned this

12. Verb cloud
(color matched to the taxonomy level)
Verb taxonomy visualization (points reward higher order verbs)
Note : Charting Verbs stat. vs.
time can see behavior trend

13. Using xAPI in a primitive LMS, we can...
● Track time spent
● Track video watching behavior
● Track learner response for evaluation and completion evidence
● Track web browsing records (bookmarking as group curation)
● Track email reading and response
● Track social interactions on forum
● Combine xAPI learning data from outside the LMS
● Track different learning events and differentiate the verbs, visualize the verb cloud
with different colors according to Bloom’s Taxonomy, investigate the verbs shift as
time goes by, and gamification (points, badges, leaderboard… ) can be designed to
enhance preferred behaviors
● Track learning sequence, learner preference in content type, & topic interests
● Get feedback of learning content units’ (popularity, understanding etc.) & improve

14. To-Do : Scale up the experiment in schools
1. Communication with education decision makers and vendors to align
2. Privacy policy and data security
3. Work with selected vendors for a pilot case in schools
a. review digital contents and tools available (Proera + outside tools)
4. Knowledge map built by educators with competencies defined for each units
5. Build UI for educators to design learning paths (adjustable anytime)
6. Build competency detection with xAPI (according to the definition)
a. qualification by taking tests (pass/fail)
b. evaluation by teachers => needs UI of data input
c. evaluation by self => collecting responses along the learning path
d. evaluation by peers => needs UI of data input
7. Build navigation/sequencing according to logic generated by the above data
8. Maybe adaptive algorithm can be applied and open for discussion

17. Education Standards for Interoperability
❏ Academic standards
❏ Data Standards (consistent definition)
❏ Student data
❏ Data Dictionary (data element definition)
❏ Logical Data Model (entity, attributes, relationship definition)
❏ Educator data
❏ Content data (metadata, paradata)
❏ xAPI vocabulary/activity profile

18. Reference of Possible Learner Profile
Data Definition Standard
● Common Education Data Standards - student
domain
● LEAP2A by Cetis
● Learner modeling dataset
● Pedagogy modeling dataset
● Local/current dataset

19. Major Learner Data Categories
● Educational records
● Competencies(skills, knowledge, abilities,
outcomes…) and domain learning objectives
● Data in affective, motivational(disposition) and
social dimensions
● Data for learning style modeling
● Data for pedagogical purposes

20. xAPI and Open Ecosystem Picture
- Based on standardized tracking and communicating language - xAPI, and the
standardization for learner's data
- Modularized ecosystem, new apps could always integrate in and with each other
(through standard web service call),a product could have several modular
components shown here
Knowledge Map / Topic graph / Competency
network
Learning Objects / Resources / Tools / Widgets
Adaptive engine / Intervention engine /
Recommendation algorithm
Analytics / Data mining tools
User Interface Dashboard / Reporting / Visualization
Learning Community Certifications