Motivation in Digital Learning Environments

At the end of August 2016, Dr Maggie Hartnett a Senior Lecturer at the Institute of Education at Massey University in New Zealand gave a presentation on the topic of motivation in online learning, as part of the NIDL’s visiting scholar series.

m1.JPG

Maggie argued that with the rapid growth of the internet and related technologies, the way we interact with each other and the world around us is changing. This is particularly true for education where formal and informal online learning opportunities are shifting and changing what it means to learn. Technology enabled learning offers many benefits including the flexibility to fit learning and study around other life commitments. But alongside the freedom to decide when, where and how to learn there are also challenges.

M2.JPG

Dr Hartnett’s research shows there are a range of considerations that are crucial to online learner success. Primary among them is motivation. Digital technologies are often viewed as inherently motivating because they provide a number of qualities that foster motivation such as curiosity and novelty. But as Maggie showed the picture is more complex than this as poor motivation has been shown to be a decisive factor in contributing to high dropout and non-completion rates from online courses and MOOCs and is an important impetus for the introduction of game-like elements such as digital badging into courses. In this talk, Maggie dispelled some of the common misconceptions about motivation in the context of recent popular digital initiatives and discussed how our understanding of motivational concepts have changed over the years. She then described what the research tells us about motivation to learn and why it is a crucial consideration in well-designed contemporary digital learning environments.

Dr Hartnett is Associate Editor of the Journal of Open, Flexible and Distance Learning and  her presentation expanded upon a recent Springer book she has written entitled Motivation in Online Education

NIDL delegation visits China

In June 2016, a small DCU delegation visited China as part of an externally funded collaborative research project with the Big Data Centre for Technology Mediated Education at Beijing Normal University. The project known as BigEdData is exploring how the Massive Open Online Course (MOOC) movement is being represented through social media. More specifically, the project involves critical discourse analysis relating to the discourses playing out in social media such as Twitter and who is engaging in them. The study is situated within a wider critique of actor-agency and the notion of power and politics in discourses of social media and in learning.

IMG_1254.JPG

A variety of network and social analyses will be employed in the empirical analyses to model the actors and their characteristics within the dataset. The dataset was created by downloading tweets from public twitter in 2015 using #MOOC and the keyword MOOC as an organizational and selection filter. Research on the proliferation of articles and news stories relating to MOOCs in traditional and online media has been conducted by a number of authors, including a team in the NIDL.

During the visit to Beijing Normal University several talks and more formal presentations were offered on a range of topics, including the one above on the messy construct of learning analytics.  A preliminary paper on the BigEdData project was presented at the EDEN conference in Budapest in June, as outlined in the slide-deck below. Further presentations are planned over the course of 2016.