A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing

Cloud providers such as Amazon Web Services (AWS) stand out as useful platforms to teach distributed computing concepts as well as the development of Cloud-native scalable application architectures on real-world infrastructures. Instructors can benefit from high-level tools to track the progress of students during their learning paths on the Cloud, and this information can be disclosed via educational dashboards for students to understand their progress through the practical activities. To this aim, this paper introduces CloudTrail-Tracker, an open-source platform to obtain enhanced usage analytics from a shared AWS account. The tool provides the instructor with a visual dashboard that depicts the aggregated usage of resources by all the students during a certain time frame and the specific use of AWS for a specific student. To facilitate self-regulation of students, the dashboard also depicts the percentage of progress for each lab session and the pending actions by the student. The dashboard has been integrated in four Cloud subjects that use different learning methodologies (from face-to-face to online learning) and the students positively highlight the usefulness of the tool for Cloud instruction in AWS. This automated procurement of evidences of student activity on the Cloud results in close to real-time learning analytics useful both for semi-automated assessment and student self-awareness of their own training progress.

[1]  Kasia Muldner,et al.  Exploring the Impact of a Learning Dashboard on Student Affect , 2015, AIED.

[2]  Camilo Vieira,et al.  Visual learning analytics of educational data: A systematic literature review and research agenda , 2018, Comput. Educ..

[3]  Erik Duval,et al.  Improving awareness and reflection through collaborative, interactive visualizations of badges , 2013, ARTEL@EC-TEL.

[4]  Nian-Shing Chen,et al.  Is FLIP enough? Or should we use the FLIPPED model instead? , 2014, Comput. Educ..

[5]  A. Irons,et al.  Enhancing Learning through Formative Assessment and Feedback , 2007 .

[6]  Katrien Verbert,et al.  How to Use Gamified Dashboards and Learning Analytics for Providing Immediate Student Feedback and Performance Tracking in Higher Education , 2017, WWW.

[7]  Maren Scheffel,et al.  License to evaluate: preparing learning analytics dashboards for educational practice , 2018, LAK.

[8]  P. Pintrich A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students , 2004 .

[9]  María Jesús Rodríguez-Triana,et al.  Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research , 2017, IEEE Transactions on Learning Technologies.

[10]  Elizabeth Colucci,et al.  E-Learning in European Higher Education Institutions: Results of a Mapping Survey Conducted in October-December 2013. , 2014 .

[11]  Erik Duval,et al.  Empowering Students to Reflect on their Activity with StepUp!: Two Case Studies with Engineering Students , 2012, ARTEL@EC-TEL.

[12]  Carlos Delgado Kloos,et al.  GLASS: a learning analytics visualization tool , 2012, LAK '12.

[13]  Rostislav Khlebnikov,et al.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2016 .

[14]  Martin Valcke,et al.  The impact of a flipped classroom design on learning performance in higher education: Looking for the best "blend" of lectures and guiding questions with feedback , 2017, Comput. Educ..

[15]  Erik Duval,et al.  Learning dashboards: an overview and future research opportunities , 2013, Personal and Ubiquitous Computing.

[16]  Rebecca Ferguson,et al.  Learning analytics: drivers, developments and challenges , 2012 .

[17]  Charles R. Graham,et al.  Blended learning in higher education: Institutional adoption and implementation , 2014, Comput. Educ..

[18]  Erik Duval,et al.  The student activity meter for awareness and self-reflection , 2012, CHI Extended Abstracts.

[19]  Maren Scheffel,et al.  Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice , 2017, EC-TEL.

[20]  Nitin Patwa,et al.  Learning Analytics: Enhancing the Quality of Higher Education , 2018 .

[21]  Inge Molenaar,et al.  Teacher Dashboards in Practice: Usage and Impact , 2017, EC-TEL.

[22]  P. Winne,et al.  Feedback and Self-Regulated Learning: A Theoretical Synthesis , 1995 .

[23]  Katrien Verbert,et al.  Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation , 2020, Comput. Hum. Behav..

[24]  Steven Lonn,et al.  Investigating student motivation in the context of a learning analytics intervention during a summer bridge program , 2015, Comput. Hum. Behav..

[25]  James McKay,et al.  Student empowerment, awareness, and self-regulation through a quantified-self student tool , 2017, LAK.

[26]  Karen Littleton,et al.  Epistemology, Assessment, Pedagogy: Where Learning Meets Analytics in the Middle Space , 2014, J. Learn. Anal..

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

[28]  Miguel Caballer,et al.  On using the cloud to support online courses , 2014, 2014 IEEE Frontiers in Education Conference (FIE) Proceedings.

[29]  J. D. Walker,et al.  It's not about seat time: Blending, flipping, and efficiency in active learning classrooms , 2014, Comput. Educ..

[30]  Chieh-Feng Chiang,et al.  VisCa: A Dashboard System to Visualize Learning Activities from E-learning Platforms , 2016, SETE@ICWL.

[31]  Abdellatif Medouri,et al.  LASyM: A Learning Analytics System for MOOCs , 2013 .

[32]  Eduardo Gómez-Sánchez,et al.  Cloud computing and education: A state-of-the-art survey , 2015, Comput. Educ..

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