Special Issue "eLearning"
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: 30 June 2015
Prof. Yianna Vovides
Communication, Culture, and Technology (CCT) Georgetown University Washington D.C., USA
Prof. Liz Bacon
Deputy Pro Vice-Chancellor (Technology Enhanced Learning) Faculty of Architecture, Computing and Humanities University of Greenwich Old Royal Naval College London SE10 9LS, United Kingdom
Tremendous growth in the last few years in regards to eLearning, especially through the popularization of Massive Open Online Courses (MOOCs) and Microlearning, prompts us to ask: “what is the learning that is occurring within the online space and what are the outcomes?” Understanding what type of learning is resulting from these efforts, is still a major challenge. Many of the eLearning systems being used have limited dashboard capabilities, with many not going beyond the basic course management components; however, given the scale of the eLearning efforts in recent years, dashboards, defined as sophisticated monitoring systems, are a necessity for all participants—students, instructors, and administrators—as they have the potential to enable us to make sense of the learning that is occurring within the virtual space. What are then the issues surrounding the development of dashboards to visualize learning processes and outcomes? We posit that the major obstacles are no longer about the technical know-how; the technical expertise to develop eLearning dashboards is relatively easy to identify and procure. Rather, the challenges are about conceptualizing and designing dashboards that provide meaningful analytics that engage participants, including instructors and administrators, in making connections of what they are learning.
Within this context, this Future Internet Special Issue on eLearning aims to explore the topic of dashboards. Therefore, we invite researchers to submit manuscripts that focus on eLearning Dashboards.
Some may approach it from a learning dashboard perspective that targets learners focusing on questions such as “what should be on a learning dashboard that is meaningful to learners and would encourage repeat engagement and reflection about what is being learned?”
Some may approach it from a teaching dashboard perspective asking questions about how to support learners who are at risk, or those who may need more challenging learning opportunities. For example, “what information do we want to know about learners to help us predict dropout?” “When would such information be most useful?”
Others may choose to approach it from an institutional perspective with a focus on trying to capture learning experiences over time and asking questions such as “What type of programs would best engage our learners further?” or “what information do we need to capture to generate meaningful information about how our students learn?” and “how do we analyze it intelligently using techniques from, e.g., AI and Big Data?” and “What are the overall curricular outcomes and competencies?”
We also welcome manuscripts that address the broader social and ethical dimension about what data is being captured and how it is used to generate data for a dashboard.
Prof. Yianna Vovides
Prof. Liz Bacon
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed Open Access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 500 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
- online learning
- deep learning
- big data
- artificial intelligence
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Output from Statistical Predictive Models as Input to eLearning Dashboards
Author: Marlene Smith
Affiliation: Business School, University of Colorado Denver, Denver, CO 80217, USA
Abstract: We describe a future in which students are given automated, real-time signals about what their current performance means for eventual success in eLearning environments. The signals would be data-driven and quantitative; e.g., a signal might furnish the probability that a student will successfully complete the certificate requirements of a massive open online course. The signals would be tailored to the individual student using the results of statistical predictive models. Repeated signals throughout the course would help instructors monitor student performance and prod those in need of improvement. Resources and methods needed to implement the signaling system are discussed.
Last update: 30 March 2015