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What do the most useful online resources look like and do? This has become a more urgent question than anyone dreamed even a few months ago. Tom Chatfield shares tips on creating good online learning from his experience creating the SAGE Campus course Critical Thinking: An online course.
In response to the COVID-19 outbreak, many universities around the world are having to switch to online teaching and remote learning at scale and at speed. A wealth of digital resources exist that can support this sudden shift to online but knowing what ‘good’ online learning looks like has never been easy. This shares five lessons we’ve learned from working with universities about what worked for them, and what sometimes surprised them about student engagement.
Technology and digitization are changing the world we live in and, consequently, what skills are required from our future workforce. It is becoming increasingly important for social science graduates to be data literate to be employable and successful. So, what exactly does the future social science graduate look like and what must institutions do to ensure their students excel?
Higher education institutions traditionally used SPSS when teaching social science. But there’s a shift toward R; a programming language and free software environment for statistical computing and graphics. Find out the top reasons why your institution should switch to R.
What is social data science and how is it done? Taha Yasseri, course instructor on the SAGE Campus Research Design in Social Data Science online course, explains the big data-driven approach to social science research that everyone is talking about.
Dr. Maja Založnik, Research Fellow at the Oxford Institute of Population Ageing, answers questions from SAGE Campus’ recent free Introduction to R webinar about the R programming language.
The ability to work with digital research methods and data analysis is opening up a whole new world of research potential for social scientists. Dr. James Allen-Robertson, Digital Sociologist at the University of Essex, tells us how computational social science has given him and his research output a new lease of life.
Guest blog from Matt Denny, Research Scientist at Facebook Core Data Science, on the benefits of learning data science as a social scientist. Get started in data science with SAGE Campus’ Practical Data Management with R online course, authored by Matt.
The majority of social scientists and social researchers report that they want or need to learn data science skills, according to a recent survey by SAGE Campus. What does this mean for higher education institutions?
Learning Python can be daunting for social scientists who don’t have a technical background. Dmitrijs Martinovs, assistant at SAGE Campus, tells us his experience of switching from SPSS to Python to better conduct analyses when undertaking a research masters in social policy.
Online learning done well can remove barriers to learning by offering flexible ways to learn new skills, whenever you want and wherever you are. But creating effective online learning isn’t easy and the challenges are especially pronounced when teaching complex and advanced topics. Read our top tips for designing effective online learning based on our experience of developing SAGE Campus courses.
What is text mining and how is it used in social research?
A fantastic benefit of the course Introduction to Data Science for Social Scientists is that it introduces you to using Jupyter Notebooks, part of the Jupyter Project. But what is Jupyter? And why is it such a useful tool? We asked course instructor Geoff Bacon to share his thoughts.
At SAGE Campus we’re passionate about providing a learning journey that is successful from start to finish. To ensure that our courses are pedagogically effective and provide an engaging learning experience, we work with an eLearning Advisory Board. Read about how the expert feedback we receive is woven throughout the creation of our courses.
See the value of photo-imagery within a chart display, and how using consistent composition and style enhances visualisations.
The projects that are the focus of this post demonstrate clever approaches to axis, and come from the Washington Post, the New York Times and Sports TV coverage
This guest post, written by Professor Ryan Watkins, shares a conceptual framework for preparing PhD students for study, research, and working in data intensive environments powered by intelligent technologies.
This post concerns approaches to annotating charts and includes observations on visualisations on gun crime, the NFL and dialogue analysis of ‘The Office’. They have been created by Andy Kirk, a UK-based data visualisation specialist and course instructor on Introduction to Data Visualisation.
Find out how to make clever choices about label placement, and how labels that appear to be simple, can actually make visualisations confusing.
This blog post is the first in a series of pieces by Andy Kirk, on the 'little’ of visualisation design: the small decisions that make a big difference towards the good and bad of visualisation. This week’s post discusses use of colour.
