xAPI and Serious Games JISC

Co-funded by the Horizon 2020 Framework Programme of the European Union

xAPI and Serious GamesJISC, xAPI Camp, April 2016, London

Realising an Applied Gaming Eco-System

Baltasar Fernandez-Manjon, @baltaFMDai GriffithsAngel Serrano

Cátedra Telefónica-Complutense Educación Digital y Juegos Serios


RAGE: creating the Gaming Learning Analytics infrastructure

H2020 RAGE project will simplify the process of Serious Games creation with ready to use assets• 20 EU partners, 9 M €• Game trackers (Unity3D, javascript)• LA server infrastructure and services

• Basic analysis and visualization of LA data• Extensible architecture

• Standards support (e.g. xAPI)• Open code (github)Using interaction data for assessment

Realising an Applied Gaming Eco-System


01/05/2023RAGE Project presentation3

What it needed to generalize xAPI in serious games?• Game developpers should clearly understand the benefits

of using xAPI for learning analytics– Added value, ROI

From ad-hoc LA solutions to generalizable ones ….• Clear and sound scientific approach• Learning Analytics Models applicable to games (Gaming

Learning Analytics Models)• Methodologies that reduce the complexity of applying GLA

models• GLA Software

– Game Trackers– GLA infrastructure to collect, analyze and exploit the LA data

• Examples to learn from


The GLA problem


Interactions tracked by serious games

• Completion– A level/stage/puzzle was completed or not– Completion achieved (percentage)

• In-game choices– Questions with multiple answers– General choices where the player must select action among

several options• Meaningful variables

– Score– Number of deaths and kills– Coins


Interactions tracked by serious games

• Meaningful actions– Clicked exit button– Asked for help

• Custom interactions– Game-specific interactions, only relevant in the concrete

serious game

Already started the cooperation to contrast our approach with ADL


01/05/2023RAGE Project presentation7

Demo Quiz Game• https://goo.gl/hcqddH

https://goo.gl/hcqddH

https://goo.gl/hcqddH


Completables


Alternatives


Meaningful Variables


Meaningful actions


RAGE, serious games and xAPI

• Define interactions model to assess serious games• Create a xAPI vocabulary to represent the model

– Repurpose existing verbs and activities– Create verbs and activities where needed– Create extensions where needed

• Define analysis for the model– Simple metrics processing statements (serious game

agnostic)– More advanced analysis based on serious game goals

• Provide a set of default visualizations for data

Co-funded by the Horizon 2020 Framework Programme of the European Union13

RAGE GLA Open Architecture

Clients AA Applications

Games

Analytics Frontend

AAFrontend

Play

ers

Devs

, Stu

dent

s,

Teac

hers

.Ad

min

s

UsersRolesResourcesPermissionsApplications

Auth

entic

ation

Auth

oriza

tion

JWTJSON WEB

TOKEN

GamesSessionsResults

TopologyAnalytics Backend

GamesSessions

Collector

Results

Application 1

Application N

Kafk

a Q

ueueLRS

We reuse APEREO Open LRShttps://github.com/e-ucm


Cytopathology ChallengeGOALS

• Educational application for an Introduction to Cytopathology course in cooperation with Harvard Med School and MGH

• Train cytologists both in Harvard U and in limited-resource countries

CONSTRAINTS• Work in low-cost Android tablets (50$)• Work in web browsers • No always wifi-connection to play• Limited budget


Cytopathology Challenge

2.Send traces

1.Play Cytopathology Challenge

3.Analyze data

4.Recover results

5.Show analysis to evaluate the students(test the game)


Thanks!

Contact : [email protected]