Study behaviours in an increasingly digital world: Learning habits, top tips and 'study hacks' questionnaire survey

In response to recent changes in the higher education market, student performance and competitor activity, The Open University has developed strategic objectives around a shift to developing ‘digital by design’ modules and the development of new digital tools to improve student success rates. In order to design effective tools, this initial piece of research was designed to understand more about students’ current study behaviours. The survey was built on a framework with student success at the centre, and generated a great deal of rich, qualitative data about how current distance learning students approach their study. The data was analysed using a thematic analysis, and produced a number of interesting themes. These included a variety of digital personas; priorities when organising study sessions; note-taking methods and reasons for making notes; and boundaries. The practical applications of these findings are some embryonic concepts for new tools and digital spaces for students that encourage the development of successful study behaviours. These concepts are being developed in conjunction with a rigorous research plan

A Survey of the Learning Behaviour of Open University students

This survey forms a crucial part of research completed by the Learning Innovation team to gain a deeper understanding of the underlying study habits and learning behaviour of Open University (OU) students to inform the future development of systems, tools and platforms. This research validates the themes that emerged from the previous report, ‘Study behaviours in an increasingly digital world: Learning habits, top tips and 'study hacks' questionnaire survey’ (Ellis, Gallagher and Peasgood, 2017). Analysis carried out on the data from that survey revealed eight possible learning behaviours that underpinned the student responses. In order to validate those original findings a new survey was designed. This report explains the findings of that survey. The survey consisted of 55 behavioural and attitudinal statements aligned to the learning behaviours, some of which were based upon survey instruments from the literature. Survey statements were written to explore each of these on a five-point scale (‘Very true for me’ to ‘Not at all true for me’) in order to identify the concepts that describe the behaviours and preferences of OU students through a process of Principle Component Analysis (PCA). In addition, the survey included questions to inform the analysis and explore potential confounding factors: accessing OU content, access to the web, and technological self-efficacy. The technological self-efficacy statements were selected from the OU’s Digital Competency Framework for Level 1 students. The survey was peer reviewed and piloted, before being sent to a generalised student population. The overall response rate was 12.7% with 524 valid responses received. Seven clear learning behaviours were identified through PCA, and a cluster analysis of the data was carried out. These learning behaviours are: • Goal-setting • Time • Focus • Note-making • Digital-preferred • Help-seeking • Elaboratio

Location-based language learning for migrants in a smart city

The SALSA (Sensors and Apps for Languages in Smart Areas) project, a winner of the Open University’s MK:Smart Open Challenge awards, is investigating how a smart city infrastructure can enable the provision of highly accurate, location-based learning activities for language learners, particularly recent migrants who have a real need to learn the language of their new home. Second language acquisition is perceived by adult migrants themselves, as well as host governments, “as a crucial factor for socio-economic and cultural integration” 1. The city is a rich environment for language learning, providing opportunities for learning through observation, conversation, and social interaction during daily activities 2. Providing learning activities accessed on smartphones, mobile ICT devices that are owned by and familiar to many migrants, enables the city to become an educational environment for an audience who may struggle to attend classroom based language courses at fixed times and places due to family and work related constraints1. Learning activities provided on smartphones enable personalised and flexible educational approach for a heterogenous group of learners, with differing needs and abilities 3. Language learning educators identify that location-based and context-sensitive resources and activities are a powerful resource for learners 4; and the mobility of smartphones makes them a particularly suitable platform for this mode of learning. SALSA (http://www.open.ac.uk/blogs/salsa/ ) is exploring the use of Bluetooth beacons placed around the city to trigger location-based learning resources in an app on learners’ smartphones. Once a learner has downloaded the app to their smartphone, they will be notified when they are near to a beacon and offered the opportunity to engage with a context-relevant learning activity stored in the app. Beacons are a low cost technology suitable for large scale deployment, transmitting a simple identifier that is interpreted by a smartphone app to trigger a predefined action, such as presenting the user with sample phrases suitable for the context, a listening exercise, or prompts for reflection. No network connection is required to engage with the learning activities, which enables the system to work indoors as well as outside, and at no network cost (a key consideration for low-income and internationally transient users). Beacons enable highly accurate identification of relative smartphone location, allowing for a density of different resources to be triggered in the same area, hence have been employed in scenarios such as providing information about exhibits in galleries, and guiding visually impaired customers through the London Underground (http://www.bbc.com/news/health-31754365 ). As a wireless technology they enable a discrete engagement with learning activities for situations where they may choose not to explicitly engage with a trigger such as a QR code printed on a poster: the user is prompted by a notification to their smartphone similar to an SMS, with an onscreen message and optional phone vibration. Because a beacon only broadcasts an identifier which is then interpreted by the app on the user’s phone, no data about who is receiving the signal and acting upon it is collected by default. This offers users an anonymous interaction, which may be valued by groups of users such as recent migrants who can be sensitive to perceived privacy issues. As part of the SALSA project we are exploring users’ perceptions of the privacy aspects of location-triggered technologies; investigating how we might both ensure user privacy, yet also consider potential methods of collecting usage data to improve user experience (e.g. by personalizing learning resources based on their previous activities) and optimisation of service provision (placing of beacons, revision of learning activities to reflect users’ needs). SALSA is a small scale pilot project currently in progress in Milton Keynes, and will report on theoretical work ,and initial findings from the field trials that are about to commence in Spring 2015. The trials will gather attitudinal, usability and learning-effectiveness data from a range of current adult English language learners who live or work in the town, and aim to inform educators, city planners, and policy makers about the benefits and challenges of implementing location-based language learning service utilizing smart city infrastructures. 1. Kluzer, S., Ferrari, A., and Centeno, C. Language learning by adult migrants: policy challenges and ICT responses. Joint Research Centre Institute for Prospective Technological Studies, Seville, Spain, 2011. 2. Kukulska-Hulme, A., & Bull, S. (2009). Theory-based support for mobile language learning: noticing and recording. International Journal of Interactive Mobile Technologies, 3(2), p. 12–18. 3. Gaved, M., Jones, A., Kukulska-Hulme, A. and Scanlon, E. A citizen-centred approach to education in the smart city: incidental language learning for supporting the inclusion of recent migrants. International Journal of Digital Literacy and Digital Competence 3, 4 (2012), p. 50–64. 4. Edge, D., Searle, E., Chiu, K., Zhao, J., & Landay, J. (2011). MicroMandarin: mobile language learning in context. Proc. CHI2011, ACM Press (2011), p. 3169-3178

Learning when out and about

[Introduction] Mobile digital devices such as tablet computers and smartphones (mobile phones that can run apps and access the Internet), enable learners to access learning materials while out and about during their daily lives. This enables networked digital learning to move from beyond the classroom and to become part of everyday routines. Smartphones and tablets are increasingly likely to be the first devices a wide range of people will turn to for technology enhanced learning, incorporated into their everyday activities and carried with them. Learning becomes ubiquitous, making use of ‘domesticated’ technologies that serve a variety of purposes in daily life. In this chapter, we consider how smartphones can trigger location specific learning resources to support adults learning languages when out and about, and consider two projects, MASELTOV and SALSA. There has been increased interest in exploring the potential of ‘smart cities’ – urban environments with high-tech infrastructures – to support learning. We look at an example, the SALSA project, where a combination of smartphones, location-based technologies and learning resources has been used to prompt language learners, and to understand whether this motivates them to extend their learning

Using and appropriating the smart city for community and capacity building amongst migrant language learners

Smart cities promise citizens access to networked services to improve their urban living, whilst offering city planners and managers detailed and current information about how services are used to enable better provision and responsive developments. We explore two educational approaches that enable citizens to take advantage of network infrastructures found in smart cities and other highly developed urban environments, combined with domesticated mobile devices (smartphones) to meet their needs and build community. We focus on a group that is particularly at risk of exclusion: recent migrants to the city who are language learners. This group faces challenges of cultural, social and linguistic inclusion. Providing information resources and language learning via smartphones which are integrated into their daily routines, and leveraging a city’s network infrastructure facilitates not only individual knowledge development, but also the opportunity to build communities. We suggest how technologies devised to support a top-down service provision model might also be used to enable a community managed knowledge repository triggering location-specific resources, the Open Beacons concept

Mobile language learning experiences for migrants beyond the classroom

This paper summarises key findings from three recent research projects investigating how mobile technologies can support migrants in achieving greater language immersion through situated, informal and incidental language learning beyond the classroom. The research highlights the affordances and constraints of the city space as an emerging environment for semi-structured informal learning. Pedagogical models arising from this research emphasize the potential for learners’ agency and engagement through self-directed, social and playful learning. Implications for policy and practice are discussed

Role of wearable activity-tracking technologies in the well-being and quality of life of people aged 55 and over

We discussed our project that involves investigating the role of wearable activity-tracking technologies in the well-being and quality of life of people aged 55 and over: how such devices may promote behaviour change but also the challenges associated with making sense of the data, the ethical issues of sharing the data and the perceived risks. We outlined our project’s plans for the empirical investigations with older people, family members, carers and medical professionals. The Sir Halley Stewart Trust has funded this project. The views expressed in this presentation and any follow-on publications are those of the authors and not necessarily those of the Trust. More details of the project are here: http://www.shaileyminocha.info/digital-health-wearables

Open Networking Lab: online practical learning of computer networking

Learning to configure computer networks is a topic requiring a substantial practical component and suggesting a pedagogic approach that foregrounds experiential learning. However, providing appropriate computer networking hardware is expensive for classroom labs, and is not viable for individual distance learners. Simulation offers an alternative basis for practical learning and supports a range of modes, from individual distance learning to in-class blended learning. Sophisticated network simulation packages, such as Cisco’s Packet Tracer, have high fidelity to networking devices and can simulate complex network scenarios. Unfortunately their complex interfaces make it difficult for a novice student to engage productively. The Open Networking Lab (ONL) will provide online resources for students of introductory computer networking. It will take an activity-centred approach, supported with video and screencasts, in preference to lengthy text. Practical activity is based on PT Anywhere, a network simulator that provides students with an easy-to-use, browser-based interface over Cisco’s Packet Tracer. PT Anywhere thus provides fully authentic simulation but, by only revealing a subset of features, supports a carefully scaffolded approach to teaching and learning. We report at an early stage in the development of the ONL. Material is being piloted with students at UK Further Education colleges. Evaluation will include observation, surveys and interviews with students and staff; PT Anywhere also provides learning analytics. A further stage of development will culminate in a badged open course on the Open University’s OpenLearn platform. The ONL will provide vocational learning at scale in educational institutions, employment contexts and for individual learners

An Open Networking Lab for practical open education

The Cisco Networking Academy programme (NetAcad) supports education and training in network engineering worldwide. NetAcad works with diverse educational institutions to offer an educational ‘vertical’ from beginner to advanced network engineer. However, as recognised by employment stakeholders, skills shortages in networking remain (Tech Partnership, 2016), particularly at the entry point (vocational levels two/three). NetAcad has been seen as a closed community based on the use of proprietary (Cisco) technology, but since 2013 it has moved towards openness through the release of APIs, free-to-use software/content, and the adoption of open standards. This has been, in part, enabled via scalable engagement projects with diverse stakeholders, including the UK Open University (OU). The OU is an Academy Support Centre (ASC) within NetAcad, supporting the growth and academic development of network engineering. In collaboration with Cisco and funded by the Ufi Charitable Trust, the OU is developing an online Badged Open Course (BOC), as part of the Open Networking Lab project (onl.kmi.open.ac.uk). Using the OU’s OpenLearn Create educational platform (www.open.edu/openlearncreate) under a CC-BY-SA-NC licence, material from the course can be taken and reused. The BOC will provide what is colloquially described as ‘zero to hero’ learning in network engineering and represents approximately 24 hours of study over 8 weeks. The course, which is free and open to all, is aimed at post-16 learners and is intended for use both by individuals engaged in independent study and classroom-based learners. Early versions of the course have been used by a number of UK further education colleges over the past 12 months. These institutions have been using the course with students who are studying towards a vocational qualification but currently have little previous experience of networking. Drawing on Sfard (1998), who argued that acquisition and participation are both necessary for learning, the course is primarily a combination of screencasts (acquisition) followed by experience/practice (participation) with a web-based computer network simulator. With the use of an Open API, integration between Cisco’s freely available and powerful ‘Packet Tracer’ network simulator and any compatible browser is enabled. The web-based network simulator, known as ‘PT Anywhere’ (Mikroyannidis et al., 2017) offers an authentic experience of networking, while developing learners’ confidence. Students can put into immediate practice technological skills learned via the screencasts. Each new practical activity delivers a network with configurable components. Students can follow the instructions, as well as freely exploring the network – adding, removing or modifying components. We will present findings from two large-scale evaluations of different stages of the course development. These evaluations took place with FE colleges using the course, and include student surveys, observations, learning analytics and interviews with staff. We will consider how these findings have shaped the development of the course as it moves towards becoming a BOC, hosted on the OU’s OpenLearn platform (www.open.edu/openlearn) and also accessible via the OU’s OpenSTEM Labs (stem.open.ac.uk/study/openstem-labs). We will discuss with participants the implications of being open to a range of learners with different learning preferences, learning needs and prior experience. References Kolb, D.A. (1984) Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall Inc., New Jersey. Mikroyannidis, A., Gomez-Goiri, A., Smith, A. & Domingue, J. (2017) Online Experimentation and Interactive Learning Resources for Teaching Network Engineering. IEEE Global Engineering Education Conference (EDUCON). Athens, Greece http://oro.open.ac.uk/49733/, IEEE Education Society Publications. Sfard, A. (1998). On Two Metaphors for Learning and the Dangers of Choosing just One. Educational Researcher, Vol. 27, No. 2, pp.4-13 Tech Partnership (2016). Factsheet: Demand for Digital specialists [online]. Available at:https://www.tpdegrees.com/globalassets/pdfs/research-2016/factsheet_demandfordigitalspecialists_july16.pdf. [Accessed 30 November 2018]

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)