HRH Princess Anne visits the London Knowledge Lab Print
Latest News
Tuesday, 13 May 2014

HRH Princess Anne at the London Knowledge Lab On Thursday, 8th May, the Chancellor of the University of London, The Princess Royal, HRH Princess Anne, visited the London Knowledge Lab. She was accompanied by the Vice-Chancellor of the University, Sir Adrian Smith, and the Director of the Institute of Education, University of London, Chris Husbands.

The Chancellor was introduced to the work of the Lab and was shown a selection of LKL projects. The visit marks the LKL's tenth anniversary, Prof Richard Noss, Co-Director of the LKL, ended the visit by inviting Her Royal Highness to the twentieth anniversary - when the time comes!

DARE and Shoot Smart, the “Into Film” Project Print
Latest News
Thursday, 17 April 2014

DARE chop batik 2[1]Researchers from the DARE team, John Potter and Theo Bryer, have won a bid to research and evaluate "Shoot Smart", a film-making project using Tablet devices, during the summer term, 2014.

Shoot Smart is funded by Into Film, the film education charity and involves working alongside partners, Xube Ltd, a film-making company specialising in films in educational settings. The competition for funding was substantial with 42 bids submitted and only 4 projects funded. It will take place throughout the summer term with children in year 5 and year 8 working in after-school clubs and using iPads to shoot and edit short films.  John will work with the primary age groups and Theo will work with the secondary students, observing weekly workshops and working on an evaluation and research framework which will provide evidence of good practice with Tablet devices which Into Film hopes can become a resource for film-making in schools and after-school clubs across the UK.

More information can be found here and on the DARE Blog:

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Children from Clip Club use the iPad to review and set up a shot for their latest production

Job Vacancy: Postdoctoral Researcher Print
Latest News
Thursday, 17 April 2014

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Postdoctoral Researcher in ITS and ELE Evaluation (Grade 7, 1 FTE)

Evaluation of Intelligent Tutoring and Exploratory Systems for Mathematics 

An excellent opportunity has arisen for a Postdoctoral Researcher (Grade 7, 1 FTE)  to join the London Knowledge Lab.

The position is in the area of Intelligent Tutoring and Exploratory Systems with an emphasis on evaluation in the context of school mathematics. The post holder's activities will mainly relate to the iTalk2Learn Project  funded by the European Commission under the FP7 but there is provision to extend to other related projects with similar evaluation requirements.

You will have a doctorate, or comparable research experience on a related area and experience in evaluating educational technology and intelligent tutoring systems in particular. You will be part of an enthusiastic research team investigating the role of intelligent systems in learning. As such you will work closely with other colleagues to design, organise and conduct evaluation studies focusing on research questions of common interest.

For more details please see the job description here Feel free to contact Dr Manolis Mavrikis ( This e-mail address is being protected from spam bots, you need JavaScript enabled to view it ).

Reference: 7AC-CLCCM-5393 

Closing date: 30 April 2014

LKL Lunch Time Seminar: Playing Algorithms to Promote Algorithmic Thinking Print
Latest News
Tuesday, 15 April 2014
thumb-events_02.pngPlaying Algorithms to Promote Algorithmic Thinking

When: 2nd May 2014
Where: LKL large Seminar Room
What Time: 12:30pm - 1:30pm


I will give a brief overview of cognitive research on algorithmic
thinking and we will try out and discuss a tangible algorithmic
activity. I will also describe the evaluation of a new year 12 course
'Algorithms, Computation and Intelligence' written and co-taught by my
colleagues Steven Bird (University of Melbourne) and Bernd Meyer
(Monash University). The course focuses on algorithmic thinking,
problem solving, graph representations and 'unplugged' activities. It
is a pilot for a new accredited VCE unit to be launched in the state of
Victoria in 2015. In the course, students use a Edgy (a specially-developed
version of Snap!) for developing and testing their algorithms. Edgy provides a
context for students to develop and test algorithms that operate on graphs. I
will demonstrate Edgy and present preliminary results from
pre-course evaluation activities administered to students in the
taught class and a comparison class.

Special Joint IoE London Knowledge Lab /UCL Computer Science seminar Print
Latest News
Friday, 11 April 2014
thumb-news_04.pngDr Paul Denny, Computer Science Dept., University of Auckland, New Zealand

When: Monday June 16th
What Time:12.30 ­ 2.00 p.m
Where: 1.03 Lecture Theatre, Malet Place Engineering Building (MPEB), UCL


Malet Place 1.03LT
Malet Place Engineering Building. Please enter via the Roberts Building,
On the corner of Torrington Place and Malet Place, WC1E 7JE.
Map is here
Learning through exam creation: the effects of generation, testing and self-explanation

Most instructors are familiar with how challenging it is to create good multiple-choice questions with plausible alternative answers. But what happens when students generate their own questions, targeting the material they are learning, and contribute them to a shared repository where they can be answered, rated and discussed by their peers? It turns out there are many interesting answers to this question.

This talk will present the pedagogical motivations for having students build and moderate their own repository of questions using the PeerWise web-based tool. The repository serves not only as a drill-and-test library that students can use for practice, but also as a creative medium for engaging students in critical reflection and deep learning. A brief overview of PeerWise will be given, illustrated with examples of genuine student contributions and case studies of its use in practice. A summary of current research will be presented, and the talk will conclude with a look to the future.


Paul Denny is an instructor in the department of Computer Science at the University of Auckland. His interests include developing and evaluating technologies for supporting collaborative learning, particularly involving student-authored resources. He created PeerWise to help students author, share and discuss course-related assessment questions. In 2009 PeerWise won the Australasian Association for Engineering Education Award for innovation in curricula, learning and teaching. PeerWise is now used at 1000 universities and schools around the world, hosting more than a million questions with associated explanations and discussions, and tens of millions of student answers. Paul is a recipient of the National Tertiary Teaching Excellence Award (2009) and the Computing Research and Education Association of Australasia Teaching Award (2010). His recent publications have examined the effectiveness of virtual achievements for motivating students in online environments and investigated the effectiveness of various styles of error reporting on the performance of novice programming students.


Second International Learning Designs Event Print
Latest News
Friday, 21 March 2014
thumb-news_08.png'Calling all Learning Designers to join us on our second International Learning Designs Event. After the success of our first event we are now running our second event online. It will run from the 24th March to 31st March. This event focus is on reviewing learning designs. If you haven't already then why not take the opportunity and test out the learning design tool and join our building community knowledge?

All the resources are available from the previous event.
You don't need to create a design to join or to review another design.
All participation is welcome from anyone who is interested in education.

Just take a look at the link:

or email us on This e-mail address is being protected from spam bots, you need JavaScript enabled to view it

We look forward to meeting you online.
Best wishes from the Learning Designs Team


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