xAPI Project Briefing & Future Plan

Team xAPI ProfilersRoger, Five, James, Michael, Laura, Raymond

Jessie Chuang (classroom-aid.com)

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 ….

Learning records from:

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

Top 10 verbsTop 10 Activity typesTop 10 Activity namesTop 10 Users…...

Instructor Overview 1

Instructor Overview 2

Spent time by course unit

Instructor Overview 3

- Video watching : Usage stat. per minute

- who also watched

Instructor Overview 4

DEI LRS

School management systems (SIS, gradebook…)

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

Personal Learning Records Timeline

Personal Learning Activity Chart

See who’s learned this

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

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

To-Do : Scale up the experiment in schools

1. Communication with education decision makers and vendors to align2. 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 units5. 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 inputc. evaluation by self => collecting responses along the learning pathd. evaluation by peers => needs UI of data input

7. Build navigation/sequencing according to logic generated by the above data8. Maybe adaptive algorithm can be applied and open for discussion

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

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

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

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