Hanging Pictures or Searching the Web: Informing the Design of a Decision-Making System that Empowers Teachers to Appropriate Educational Resources to Their School’s Infrastructure

In this paper, we report work in designing a decision-making system that aims to support teachers in appropriating to their practice innovative scenarios that employ uses of information and communication technologies (ICT) in teaching and learning. To this end, we break down educational scenarios into micro-activities, and connect them to required and alternative infrastructure. We argue that micro-activities is a unit of analysis of educational scenarios that is compatible with the role of teachers as designers who select, decompose, combine, enact and revise different pieces of resources. This paper offers a reflective viewpoint on integrating ICT in existing scenarios and investigates how teaching objectives make use, or not, of the potential of digital technologies

How much do we really know about river flooding?

Have you ever experienced rain where it rained so hard or for so long that you feared you may soon be up to your eyeballs in water? Sadly, many people in the world have witnessed this firsthand, and this is likely to increase due to climate change unless we do something to prepare for flooding disasters. Some areas are more prone to floods than others, and the people living there are more at risk. Scientists have developed computer models in an effort to map flood prone areas. Decision makers use the results from those computer models to plan for future flooding events to limit destruction and save lives. But are they accurate enough considering human lives may depend on them? To answer this question we compared the results from six computer models which simulate flood risk in Africa. The models agreed in less than 40% of the cases about where exactly it would flood and how much damage there might be

Mathematics with component-oriented exploratory software

In this paper we discuss a component-oriented architecture which we are employing to develop programmable exploratory software for mathematics. We argue that the architecture can be used to provide synergy between end-user programming and efficient behavior of components, i.e. computational objects of a wide range of technical complexity and functionalities. We give examples of components with mathematics in their behavior and components which in themselves embody mathematical relations. Through both formal language and visual means, users can link them to form creative configurations with interesting functionalities and use the resulting environments for exploratory activity. We conclude that this architecture enables a more efficient collaboration between technical and educational expertise in developing exploratory software

Learning (Good Handwriting In Greek) By Teaching (A Humanoid Robot)

We report on a follow-up study of the Co-Writer project at EPFL [1]; we confirm their findings, extend the applicability to another language with a different alphabet (Greek) and go into an in-depth qualitative study of the child-robot relationship. The core idea of "learning by teaching" is that the student learns by undertaking to teach what they are supposed to learn which motivates them into ownership of the process. Although a highly effective method [2], there are serious practical obstacles in scaling learning by teaching to larger numbers or extending it to younger learners and to certain skills such as handwriting. This is where we enlist the assistance of a humanoid robot to help a young learner with her handwriting by assuming the role of the cacographer pupil who asks help from its human friend. The robot pretends writing mistakes similar to the child's own; the child recognizes the errors as such even when she would refuse to acknowledge them in her own writing, and makes an extra effort for better writing as the robot's instructor; the robot improves its writing; the child goes through another round of amelioration; and, hopefully, gets in the habit of better writing. In order to extend the original study for the Greek language and alphabet we first needed to collect data from beginner writers, children of 6-9 years. The nine-month study for collecting and evaluating handwriting samples from primary school students in Cyprus in order to examine and describe cacography for the Greek alphabet used a questionnaire, an evaluation sheet for the letter formation and copies of students' notebooks. It involved four primary schools in Limassol, Cyprus and a total of 68 students and 11 teachers. We were thus able to obtain a consensus on what constitutes poor letter writing in Greek. All writing samples were evaluated by teachers and were classified based on Chandra et al. [3] taxonomy. The qualitative research involved three case studies of children who held two sessions each with the humanoid programmable robot NAO. We video recorded the child-robot interactions and assessed their progress in handwriting. In all three cases, albeit not in the same degree, we saw that (a) the child-robot interaction quickly improved; the increasing number of correct remarks from all children in only two meetings shows the comfort that they gained with lab environment and the robot itself and (b) the correctness of children remarks and their comments about letters shows their ability to distinguish the correct from the wrong letters and to justify their answers. Both conclusions confirm the findings of the Co-Writer project [4]