1,967 research outputs found

    Mining a MOOC to examine international views of the “Smart City”

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    Increasing numbers of cities are focussed on using technology to become “Smart”. Many of these Smart City programmes are starting to go beyond a technological focus to also explore the value of a more inclusive approach that values the input of citizens. However, the insights gained from working with citizens are typically focused around a single town or city. In this paper we explore whether it is possible to understand people’s opinions and views on the Smart City topics of Open Data, privacy and leadership by examining comments left on a Smart City MOOC that has been delivered internationally. In doing so we start to explore whether MOOCs can provide a lens for examining views on different facets of the Smart City agenda from a global audience, albeit limited to the demographic of the typical MOOC user

    An investigation into the perspectives of providers and learners on MOOC accessibility

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    An effective open eLearning environment should consider the target learner’s abilities, learning goals, where learning takes place, and which specific device(s) the learner uses. MOOC platforms struggle to take these factors into account and typically are not accessible, inhibiting access to environments that are intended to be open to all. A series of research initiatives are described that are intended to benefit MOOC providers in achieving greater accessibility and disabled learners to improve their lifelong learning and re-skilling. In this paper, we first outline the rationale, the research questions, and the methodology. The research approach includes interviews, online surveys and a MOOC accessibility audit; we also include factors such the risk management of the research programme and ethical considerations when conducting research with vulnerable learners. Preliminary results are presented from interviews with providers and experts and from analysis of surveys of learners. Finally, we outline the future research opportunities. This paper is framed within the context of the Doctoral Consortium organised at the TEEM'17 conference

    Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods

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    Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity with millions of learners across the globe participating in courses ranging from Popular Music to Astrophysics. They have captured the imaginations of many, attracting significant media attention - with The New York Times naming 2012 "The Year of the MOOC." For those engaged in learning analytics and educational data mining, MOOCs have provided an exciting opportunity to develop innovative methodologies that harness big data in education.Comment: Preprint of a chapter to appear in "Data Mining and Learning Analytics: Applications in Educational Research

    Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses

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    Big data and analytics for educational information systems, despite having gained researchers’ attention, are still in their infancy and will take years to mature. Massive open online courses (MOOCs), which record learner-computer interactions, bring unprecedented opportunities to analyse learner activities at a very fine granularity, using very large datasets. To date, studies have focused mainly on dropout and completion rates. This study explores learning activities in MOOCs against their demographic indicators. In particular, pre-course survey data and online learner interaction data collected from two MOOCs, delivered by the University of Warwick, in 2015, 2016, and 2017, are used, to explore how learnerdemographic indicatorsmay influence learner activities. Recommendations for educational information system development and instructional design, especially when a course attracts a diverse group of learners, are provided

    Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions

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    In this work, we explore video lecture interaction in Massive Open Online Courses (MOOCs), which is central to student learning experience on these educational platforms. As a research contribution, we operationalize video lecture clickstreams of students into cognitively plausible higher level behaviors, and construct a quantitative information processing index, which can aid instructors to better understand MOOC hurdles and reason about unsatisfactory learning outcomes. Our results illustrate how such a metric inspired by cognitive psychology can help answer critical questions regarding students' engagement, their future click interactions and participation trajectories that lead to in-video & course dropouts. Implications for research and practice are discusse

    Learning Together in Public and in Private: Exploring Learner Interactions and Engagement in a Blended-Platform MOOC Environment

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    With the growing popularity of connectivist MOOCs, the aim of facilitators has increasingly shifted from helping students meet completion-oriented goals to encouraging meaningful engagement among participants. In this paper, we study the relationship between platform of engagement and learner participation, controlling for relevant demographic factors of participants including gender, age, and level of education attained. Our study employs four distinct measures of participatory engagement: autonomous learning, knowledge reproduction, information networking, and scholarly engagement. We find that on the public platform of Twitter, participants were more likely to exhibit meaningful engagement patterns across all measures studied than they were on the closed EdX class discussion space

    [Book review] Populism, Media and Education: Challenging discrimination in contemporary digital societies

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    Published in January 2016, this book is based on a recent cross-European research project, ‘e-Engagement Against Violence’ (e-EAV), which ran from 2012 to 2014 and included research partners from seven EU member states. The project comprised two separate research strands, which are reflected in the structure of the book. First, a discursive approach known as Critical Frame Analysis was used in order to analyse populist communicative strategies online. For clarity, Ranieri sets out the definition of populism as used by the project as “an explorative concept to systematically analyse the ‘discursive strategies’ of ‘othering’ through which right-wing organisations construct and locate the ‘others’ ‘out of the people’ by making them objects of discrimination and exclusion” (Ranieri, 2016, p. 2). In contrast, the second part of the project involved an action research-based approach to design, implement and evaluate media literacy education practices, to improve young peoples’ awareness of the issues online and enhance civic engagement

    Just in Time: The Beyond-the-Hype Potential of E-Learning

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    Based on a year of conversations with more than 100 leading thinkers, practitioners, and entrepreneurs, this report explores the state of e-learning and the potential it offers across all sectors of our economy -- far beyond the confines of formal education. Whether you're a leader, worker in the trenches, or just a curious learner, imagine being able to access exactly what you need, when you need it, in a format that's quick and easy to digest and apply. Much of this is now possible and within the next decade, just-in-time learning will likely become pervasive.This report aims to inspire you to consider how e-learning could change the way you, your staff, and the people you serve transfer knowledge and adapt over time
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