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a mbient  i ntelligence Opportunities and Consequences of Its Use in Smart Classrooms a mbient  i ntelligence Opportunities and Consequences of Its Use in Smart Classrooms

a mbient i ntelligence Opportunities and Consequences of Its Use in Smart Classrooms - PowerPoint Presentation

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a mbient i ntelligence Opportunities and Consequences of Its Use in Smart Classrooms - PPT Presentation

Augusto Juan Carlos Innovation in Teaching and Learning in Information and Computer Sciences  82 2009 5363 Emmanuel Bello Ogunu 2 October 2014 outline Ambient Intelligence ID: 908618

learning ami system students ami learning students system current classroom smart teaching based amp japelas analysis ambient systems environment

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Slide1

ambient intelligence

Opportunities and Consequences of Its Use in Smart ClassroomsAugusto, Juan Carlos. Innovation in Teaching and Learning in Information and Computer Sciences 8.2 (2009): 53-63.

Emmanuel Bello-

Ogunu

2 October 2014

Slide2

outline

Ambient Intelligence (AmI)HistoryHow AmI worksCurrent AmI ecosystemsAmI in Higher Education

Analysis

Discussion/Q&A

Slide3

Ambient Intelligence

“A digital environment that proactively, but sensibly, assists people in their daily lives”

Slide4

evolution of technology

Slide5

technological development towards AmI

Miniaturization of microprocessorsEmbedded in household appliances, phones and carsIncreasing expectations and perceptions of technologyDecentralization of health careDevelopment of assistive technologiesSmart homes to improve healthcare

Slide6

confluence of different fields

Security

Slide7

how AmI works

Integration of software, hardware and networksPerceiving environment stateReasoningPerception of environmentTasks, goals and outcomesActing to change stateActuators or device controllers

Slide8

current AmI system: SmartHomes

Domestic appliances

E.g.

c

ooker, fridge

Household items

E.g. Taps, lighting

Temperature Devices

E.g. Air conditioning, heat,

radiators

MavHome

, Essex

iDorm

,

Domus

Lab

Industry-led projects

Siemens, Phillips, Microsoft

, Intel

Slide9

current AmI system: Healthcare

Automatic activity analysisAccess control for specific areas and devices

Slide10

current AmI system: Transportation

GPS based spatial locationVehicle identificationImage processing

Slide11

current AmI system: Disaster Management

Decrease response time Preparing the way by altering street services

Slide12

AmI in Higher Education

Slide13

The Classroom 2000 Project

Aim:Capture content to be used a posteriori without disturbing normal classroom developmentDeveloped at Georgia Institute of Technology (1995-2000)Steps:Preproduction:Live capturePost productionAccessFindings:

Exam performance not affected

Strong preference for captured notes

Attendance was not affected

Quantity of note taking differed drastically

Slide14

The Smart Classroom at Tsinghua University

Use of an interactive whiteboardPerform traditional handwriting tasks using digital pens on the boardUse of another whiteboard to capture class related itemsSoftware based on multi-agent systemUsed for Face-Face or distant educationFeatures:A virtual assistant

Natural language recognition capabilities

Translates actions of distant students into uttered sentences

Eg

. New student has arrived the virtual room

Captures audio and video

Recognizes gestures and motions

Focuses attention on appropriate material

Slide15

The Intelligent Classroom at Northwestern

Similar to Tsinghua UniversityInfers intent to control the classroomLight settingsPlay videosDisplay slidesNo pre-programming requiredNatural actions of inhabitants elicit appropriate responses from the environment

Slide16

The JAPELAS and TANGO Systems

Context aware systems JAPELAS (Japanese Polite Expressions Learning Assisting System)Provides information on cultural knowledge to students based on contextEnables students to follow cultural protocols for formal & informal communications through the use of PDA’sTANGO (Tag Added Learning Objects)Teaches high school students about atypical objects

By adding tags and providing students with tag readers

Developed at the University of Tokushima, Japan

Slide17

Mobile Computing at European Universities

University of NottinghamPhone assisted classroom interaction systemStudents give lecturers feedback via SMS using Nokia-PC SuiteDifferent levels of privacy were consideredStudents were not worried about SMS costEriksson

E-learning to M-learning

Supported by Leonardo Da Vinci

Programme

of the European Union

Slide18

Analysis

Slide19

Analysis

Slide20

Discussion / Q&A

Smart classrooms have great potential to support teaching and learning Supports collaborative work (both real-time and offline)Enhances connectivity for distance learning (zooming in and out based on context)Enables learning by experience (JAPELAS)Facilitates teaching tasks (slides by voice)Unexplored opportunities around the globe

Privacy Issues

Do students trust privacy levels of these systems?

Future options to support teaching and learning using smart classrooms

Detecting underperforming students?

Enrich feedback on student activities?

Providing reminders and advice with respect to current activities and performance levels?

Slide21

thank you!