Blog - Trifonova - Hoarding Content in M-Learning

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Monday, November 8, 2010

20101108 - Trifonova, ..Hoarding Content in MobileLearning..Trifonova, A. (2006). Toward Hoarding Content in M-LearningContext . University of Trento, Italy.My Interest:

1) Hoarding the learning content.

2) Offline access of learning content.) Mo!ile learning.") Mo!ile#L$IT.%) $e&elo'ing the 'rototy'e of (o!ile learning.

ction:To read the entire $issertation in f*t*re.

IntroductionM-learning is a very new but rapidly expanding domain. Provoked by the fast advances of mobiletechnologies different applications and systems are developed continuously. Many new re-search topicsare emerging in various areas, including technological issues, pedagogical and methodological ones,

problems related to content, context, user interfaces, adaptation, etc.

Research Goal

Search This BlogSearch

Lin sMobile Learning portal [prototype]WAP Blog: Mobile Learning & Usability

Blog !rchive 2010 (144)

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e discuss the general and concrete approaches to develop and build it. Motivations for our choices aregiven on every step. e describe in details the hoarding problem and the strategy to solve it with the goalto provide an efficient hoarding solution.

1xperimental results are presented, together with the practical experiences gathered from the interactionswith the users.inally suggestions for improvements and further research issues are given.

2. MOBILE LEARNING STATE OF THE ART

2.1. DEFINING M-LEARNING2.2. M-LEARNING RESEARCH

2.2.3 &nfrastructural 4esearch2.2.2 'ccessing $ontent2.2.5 $ommunicating and &nteracting with People2.3. GUIDELINES FOR M-LEARNING APPLICATIONS

3. THE RESEARCH CONTEXT

3.1. SURVEY ON THE READINESS FOR MOBILE LEARNING5.3.3 6eneral &nformation5.3.2 'vailability of devices, their usage and attitude to prices5.3.5 ays of usage and attitude to e-learning platforms5.3.7 hat about m-learning! 5.3.8 eductions5.3.9 4elated ork5.3.: $onclusions3.2. GENERAL MOBILE LEARNING ARCHITECTURE5.2.3 1-learning5.2.2 M-;earning5.2.5 The 'rchitecture5.2.7 4elated ork 3.3. MOBILE ELDIT - A REAL-WORLD SYSTEM5.5.3 hat< ! escription of 1; &T! 5.5.2 hy< !Motivations for the Mobile 1; &T! 5.5.5 (ow< ! etails on Mobile 1; &T development!

4. HOARDING: OUTLINE OF THE SOLUTION

4.1. MEASURING THE QUALITY4.2. DEFINITION OF SESSION IN THE MOBILE LEARNING CONTEXT4.3. HOARDING ON THE FIRST ACCESS TO THE SYSTEM

Lion Mick Yap

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4.4. PREDICT THE STARTING POINT4.5. GENERATE 'CANDIDATE' SET

4.6. PRUNING

4.7. PRIORITIZING

4.8. USER MODELING

5. CONTEXTUALIZATION OF THE SOLUTION AND EXPERIMENTAL OUTCOMES

5.1. METHODOLOGY FOR LOOKING AT THE OUTCOMES5.2. AUTOMATIC EXTRACTION OF KNO LEDGE A!OUT THE USER

8.2.3 'pproach 3% using the online desktop system8.2.2 'pproach 2% using the mobile system5.". HOARDING RESULTS8.5.3 )ne =ser (oarding8.5.2 =ser behaviour observations8.5.5 (oarding with /$ritical >et/8.5.7 $ombined (oarding8.5.8 'ssociation 4ules5.4. OTHER OUTCOMES FROM THE MO!ILE LEARNING SYSTEM

8.7.3 Positive )utcomes8.7.2 Problems ound

Poste/ by Mi!+ael F 69F at G:4G AMLabels: Anna 'ri7ono$a 8 +oar/ing !ontent 8 " l/it 8 "obile learning

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