Towards Adaptive Dashboards for Learning Analytic - An Approach for Conceptual Design and Implementation

Designing Learning Analytic (LA) dashboards can be a challenging and complex task when dealing withabundant data generated from heterogeneous sources with various uses. On top of that, each dashboard isdesigned in accordance with the user's needs and their observational objectives. Therefore, understanding thecontext of LA and its users is compulsory as it is part of the dashboard design approach.Our research effort starts with an exploratory study of different contextual elements that could help us definewhat an adaptive dashboard is and how it fulfills the user's needs. To do so, we have conducted a needsassessment to characterize the user profiles, their activities, their visualization preferences and objectives whenusing a dedicated dashboard. In this paper, we introduce a conceptual model, which will be used to generate a variety of LA dashboards. Our main goal is to provide users with adaptive dashboards, generated accordinglyto their context of use while satisfying the users' requirements. We also discussed the implementation processof our first prototype as well as further improvements.

[1]  C. Choquet,et al.  Modélisation et construction de traces d’utilisation d’une activité d’apprentissage : une approche langage pour la réingénierie d’un EIAH , 2007 .

[2]  J. Preece,et al.  User-Centered Design , 2004 .

[3]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[4]  Vanda Luengo,et al.  Conception et mise en place d'un entrepôt de traces et processus de traitement EIAH : UnderTracks , 2013 .

[5]  Bernardo Pereira Nunes,et al.  Cite4Me: Semantic Retrieval and Analysis of Scientific Publications , 2013, LAK.

[6]  Meri Kailanto,et al.  Visualizations of User Data in a Social Media Enhanced Web-based Environment in Higher Education , 2013 .

[7]  V. Thavavel,et al.  COMPARATIVE ANALYSIS OF CURRENT METHODS IN SEARCHING OPEN EDUCATION CONTENT REPOSITORIES , 2016 .

[8]  David C. White,et al.  Contextual Adaptive Knowledge Visualization Environments , 2012 .

[9]  Judy Kay,et al.  LATUX: an Iterative Workflow for Designing, Validating and Deploying Learning Analytics Visualisations , 2016 .

[10]  Joseph S. Valacich,et al.  The Influence of Task Interruption on Individual Decision Making: An Information Overload Perspective , 1999 .

[11]  Jean-Jacques Girardot,et al.  Tatiana: an environment to support the CSCL analysis process , 2009, CSCL.

[12]  Inge de Waard,et al.  MOOC factors influencing teachers in formal education , 2015 .

[13]  Jean-Marc Labat,et al.  Environnements Informatiques pour l'Apprentissage Humain , 2006 .

[14]  Vincent Aleven,et al.  How Teachers Use Data to Help Students Learn: Contextual Inquiry for the Design of a Dashboard , 2016, EC-TEL.

[15]  Riccardo Mazza,et al.  GISMO: a Graphical Interactive Student Monitoring Tool for Course Management Systems , 2004 .

[16]  Neil T. Heffernan,et al.  Estimating the Effect of Web-Based Homework , 2013, AIED Workshops.

[17]  Erik Duval,et al.  Addressing learner issues with StepUp!: an evaluation , 2013, LAK '13.

[18]  Linda Corrin,et al.  Academic Analytics in a Medical Curriculum: Enabling Educational Excellence. , 2012 .

[19]  Zdenek Zdráhal,et al.  Improving retention: predicting at-risk students by analysing clicking behaviour in a virtual learning environment , 2013, LAK '13.

[20]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[21]  Vania Dimitrova,et al.  CourseVis: A graphical student monitoring tool for supporting instructors in web-based distance courses , 2007, Int. J. Hum. Comput. Stud..

[22]  Marek Hatala,et al.  A qualitative evaluation of evolution of a learning analytics tool , 2012, Comput. Educ..

[23]  Hendrik Drachsler,et al.  Translating Learning into Numbers: A Generic Framework for Learning Analytics , 2012, J. Educ. Technol. Soc..

[24]  Pierre-Antoine Champin,et al.  TStore: A Web-Based System for Managing, Transforming and Reusing Traces , 2012 .

[25]  Yeonjeong Park,et al.  Development of the Learning Analytics Dashboard to Support Students' Learning Performance , 2015, J. Univers. Comput. Sci..

[26]  Xin Li,et al.  Context Aware Middleware Architectures: Survey and Challenges , 2015, Sensors.

[27]  Claus Zinn,et al.  How did the e-learning session go? The Student Inspector , 2007, AIED.

[28]  Erik Duval,et al.  Learning Analytics Dashboard Applications , 2013 .

[29]  Linda Corrin,et al.  A conceptual framework linking learning design with learning analytics , 2016, LAK.

[30]  Nara L. Newcomer,et al.  User Centered Design , 2014, Encyclopedia of Database Systems.

[31]  Sébastien George,et al.  TrAVis to Enhance Students’ Self-Monitoring in Online Learning Supported by Computer-Mediated Communication Tools , 2011, CISIM 2011.

[32]  Matthew D. Pistilli,et al.  Course signals at Purdue: using learning analytics to increase student success , 2012, LAK.

[33]  Meri Kailanto,et al.  Visualizations of user data in a social media enhanced web-based environment in higher education , 2013, 2013 IEEE Global Engineering Education Conference (EDUCON).

[34]  Serge Garlatti,et al.  Le concept de iMOOC pour une ouverture maîtrisée , 2013 .