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2022/23 Taught Postgraduate Module Catalogue

EDUC5266M Researching Digital Education

30 creditsClass Size: 30

Module manager: Dr Bronwen Swinnerton

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2022/23

This module is not approved as an Elective

Module summary

In this module you will be introduced to a range of educational research skills and methodologies. You will have an opportunity to appreciate the theoretical, ethical and practical implications of data collection and analysis. The module will provide you with opportunities to examine concrete examples of how digital education data can be collected, analysed and presented.


This module takes inspiration from the latest methodological debates and trends in the social sciences. Students will examine the theoretical and methodological implications. They will explore practical examples of collecting, analysing and making sense of digital information and data. These examples will focus on online provision (blended or fully online), and teachers in traditional classrooms gathering and decoding various forms of digital data.

Learning outcomes
On completion of the module students should gain:
- A critical understanding of a range of methodological skills in digital education research
- A critical awareness of the impact of educational data and learner analytics on digital education research and practice
- An appreciation of the ethical implications of collecting, analysing and reporting on educational data and learner analytics

Skills outcomes
- Recognising and solving data-related problems in educational practice;
- practical skills for the synthesis and analysis of digital information;
- developing basic data visualisations.


Indicative syllabus
The module will cover such topics as the socio-political context of educational data; underpinning philosophical perspectives of social science research; methodological skills; the ethics of educational data; data visualisation; researching social media; researching online and physical settings.

Teaching methods

Delivery typeNumberLength hoursStudent hours
On-line Learning115.5060.50
Private study hours222.00
Total Contact hours78.00
Total hours (100hr per 10 credits)300.00

Private study

Please note, this module is delivered entirely online, there is no requirement for students to be physically present on campus. The teaching is based on a 'flipped learning' model, whereby each weekly unit comprises asynchronous pre-seminar tasks, a synchronous online seminar and asynchronous post-seminar tasks.

Opportunities for Formative Feedback

Each participant will be expected to make a contribution of between 500-1000 words per unit, about a specific topic, in the asynchronous discussion or equivalent. Each person will be expected to actively contribute to the weekly synchronous online seminar. Each student will have two individual tutorials to discuss progress.

There will be opportunities for students to submit and receive feedback on a plan and draft of their final assignment.

Methods of assessment

Assessment typeNotes% of formal assessment
Essay6000 words100.00
Total percentage (Assessment Coursework)100.00

Students will produce an essay focusing on one of the following alternatives: 1. A proposal detailing how you would collect and analyse data in order to investigate the uses and impacts of learner analytics in a setting of your choice OR 2. An analysis and evaluation of the research design and methodological approaches of two contrasting digital education empirical research papers.

Reading list

The reading list is available from the Library website

Last updated: 10/10/2022 11:39:05


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