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Chrome Plug-in to Support SRL in MOOCs

  • María Elena Alonso-Mencía
  • Carlos Alario-HoyosEmail author
  • Carlos Delgado Kloos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11475)

Abstract

Massive Open Online Courses (MOOCs) have gained popularity over the last years, offering a learning environment with new opportunities and challenges. These courses attract a heterogeneous set of participants who, due to the impossibility of personal tutorship in MOOCs, are required to create their own learning path and manage one’s own learning to achieve their goals. In other words, they should be able to self-regulate their learning. Self-regulated learning (SRL) has been widely explored in settings such as face-to-face or blended learning environments. Nevertheless, research on SRL in MOOCs is still scarce, especially on supporting interventions. In this sense, this document presents MOOCnager, a Chrome plug-in to help learners improve their SRL skills. Specifically, this work focuses on 3 areas: goal setting, time management and selfevaluation. Each area is included in one of the 3 phases composing Zimmerman’s SRL Cyclical Model. In this way, the plug-in aims to support enrolees’ self-regulation throughout their complete learning process. Finally, MOOCnager was uploaded to the Chrome Web Store, in order to get a preliminary evaluation with real participants from 6 edX Java MOOCs designed by the Universidad Carlos III de Madrid (UC3M). Results were not conclusive as the use of the plug-in by the participants was very low. However, learners seem to prefer a seamless tool, integrated in the MOOC platform, which is able to assist them without any learner-tool interaction.

Keywords

Self-regulated learning Massive Open Online Course Plug-in MOOCnager Tool 

Notes

Acknowledgments

The authors acknowledge the eMadrid Network, funded by the Madrid Regional Government (Comunidad de Madrid) with grant No. P2018/TCS-4307. This work also received partial support from the Spanish Ministry of Economy and Competitiveness/Ministry of Science, Innovation, and Universities, Projects RESET (TIN2014-53199-C3-1-R) and Smartlet (TIN2017-85179-C3- 1-R), and from the European Commission through Erasmus+ projects COMPETEN-SEA (574212-EPP-1-2016-1-NL-EPPKA2-CBHE-JP), LALA (586120-EPP-1-2017-1-ES-EPPKA2- CBHE-JP), and InnovaT (598758-EPP-1-2018-1-AT-EPPKA2-CBHE-JP).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • María Elena Alonso-Mencía
    • 1
  • Carlos Alario-Hoyos
    • 1
    Email author
  • Carlos Delgado Kloos
    • 1
  1. 1.Department of Telematics EngineeringUniversidad Carlos III de MadridMadridSpain

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