Freelancer /Consultancy - Learning Design Associate (UK based)

Closing date

We are looking for a UK-based freelancer in learning design who will act as INASP associate and will contribute to a small professional and effective team responsible for strategic oversight, development and implementation of online and blended approaches to capacity development.

Role summary

The role holder will work closely with INASP staff in the aspects related to course design, development and delivery across a variety of projects. We are looking for someone who:

  • can join us in the capacity of 8-12 days per month for the duration of one year (until August 2019)
  • is UK based and willing to occasionally travel within the UK and internationally to join us in relevant working sessions and meetings
  • is comfortable using videoconferencing technology for effective collaboration and teamwork at distance

The successful candidate is likely to be an experienced learning designer who is enthusiastic to develop high quality online and blended learning, with a particular interest and experience of design for a developing country context. They will be willing to work closely with INASP staff and able to provide professional guidance in the areas of learning design, learner experience, online facilitation, online learning activities and e-assessment.

Knowledge

  • Solid knowledge of learning theory and learner-centred pedagogies, including problem-based learning and inquiry-based learning
  • Knowledge of online learning pedagogies
  • Familiarity with Learning Management Systems, Moodle in particular

Experience

  • At least two years of experience in a learning design role, preferably in the HE context
  • Evidence of using learning design to plan for high quality learning experience online and offline
  • Experience of coordinating digital learning projects from inception to implementation

Skills/Attributes

  • Excellent writing skills and ability to develop high quality learning materials and guidelines for a range of audiences and in a variety of tones
  • Online facilitation skills
  • Committed to participatory approaches to course design
  • Passionate about online learning and able to inspire others with energy, confidence and enthusiasm
  • Strong interpersonal skills; considerable experience of collaborative work

 

How to apply

Applications should be made by email and should include: click here to apply

  • CV along with a one-page statement outlining how you meet the criteria above
  • indication of your availability
  • daily fee rate expectations

 

Applicants will be considered on a rolling basis until 5pm on 31 August 2018. Interviews will be conducted throughout the process.

Please note applicants must have the right to work in the UK

 

About INASP

INASP is a UK registered charity, established in 1992 and funded by a range of government and institutional donors.  We have 24 staff based in our Oxford and London offices.

For more details please go to our website: www.inasp.info

 

INASP is committed to creating an inclusive working environment, promoting and providing equal opportunities in employment, respecting diversity and avoiding unlawful discrimination at recruitment and during employment. We welcome applications from all suitably qualified individuals regardless of their race, gender identity, biological sex, disability, religion/belief, sexual orientation or age.

 

Data Protection

As part of your application to work for INASP you will share some personal information with

us, like your name, address, telephone number and email address. We will only use that information to process your application and to monitor recruitment statistics. We will not share it with any third parties without your permission.

Personal information about unsuccessful candidates will be held securely for 60 days after the recruitment exercise has been completed, it will then be destroyed or deleted. We retain de-personalised statistical information about applicants to help inform our recruitment activities, but no individuals are identifiable from that data.

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