How to Do Things With Words

2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.

Multimedia in Learning

This is a review of Collected Works of John Tate. Parts I, II, edited by Barry Mazur and Jean-Pierre Serre. American Mathematical Society, Providence, Rhode Island, 2016. For several decades it has been clear to the friends and colleagues of John Tate that a “Collected Works” was merited. The award of the Abel Prize to Tate in 2010 added impetus, and finally, in Tate’s ninety-second year we have these two magnificent volumes, edited by Barry Mazur and Jean-Pierre Serre. Beyond Tate’s published articles, they include five unpublished articles and a selection of his letters, most accompanied by Tate’s comments, and a collection of photographs of Tate. For an overview of Tate’s work, the editors refer the reader to [4]. Before discussing the volumes, I describe some of Tate’s work. 1. Hecke L-series and Tate’s thesis Like many budding number theorists, Tate’s favorite theorem when young was Gauss’s law of quadratic reciprocity. When he arrived at Princeton as a graduate student in 1946, he was fortunate to find there the person, Emil Artin, who had discovered the most general reciprocity law, so solving Hilbert’s ninth problem. By 1920, the German school of algebraic number theorists (Hilbert, Weber, . . .) together with its brilliant student Takagi had succeeded in classifying the abelian extensions of a number field K: to each group I of ideal classes in K, there is attached an extension L of K (the class field of I); the group I determines the arithmetic of the extension L/K, and the Galois group of L/K is isomorphic to I. Artin’s contribution was to prove (in 1927) that there is a natural isomorphism from I to the Galois group of L/K. When the base field contains an appropriate root of 1, Artin’s isomorphism gives a reciprocity law, and all possible reciprocity laws arise this way. In the 1930s, Chevalley reworked abelian class field theory. In particular, he replaced “ideals” with his “idèles” which greatly clarified the relation between the local and global aspects of the theory. For his thesis, Artin suggested that Tate do the same for Hecke L-series. When Hecke proved that the abelian L-functions of number fields (generalizations of Dirichlet’s L-functions) have an analytic continuation throughout the plane with a functional equation of the expected type, he saw that his methods applied even to a new kind of L-function, now named after him. Once Tate had developed his harmonic analysis of local fields and of the idèle group, he was able prove analytic continuation and functional equations for all the relevant L-series without Hecke’s complicated theta-formulas. Received by the editors September 5, 2016. 2010 Mathematics Subject Classification. Primary 01A75, 11-06, 14-06. c ©2017 American Mathematical Society

The collected works

/pdf/online-communities-designing-usability-supporting-1rx78h3t04.pdf

Online communities – Designing Usability, Supporting Sociability

In spite of their effectiveness, learning environments often fail to engage users and end up under-used. Many studies show that gamification of learning environments can enhance learners’ motivation to use learning environments. However, learners react differently to specific game mechanics and little is known about how to adapt gaming features to learners’ profiles. In this paper, we propose a process for adapting gaming features based on a player model. This model is inspired from existing player typologies and types of gamification elements. Our approach is implemented in a learning environment with five different gaming features, and evaluated with 266 participants. The main results of this study show that, amongst the most engaged learners (i.e., learners who use the environment the longest), those with adapted gaming features spend significantly more time in the learning environment. Furthermore, learners with features that are not adapted have a higher level of amotivation. These results support the relevance of adapting gaming features to enhance learners’ engagement, and provide cues on means to implement adaptation mechanisms.

/pdf/adaptive-gamification-for-learning-environments-17712l68jd.pdf

Adaptive Gamification for Learning Environments

Serious games are pedagogical multimedia products made to help learners develop specific skills. Their use has proven to be promising in many domains, but is at present restricted by the time consuming and costly nature of the developing process. When developing Serious Games (SGs) for academic purposes, not only is there a budgetary challenge, but there is also the challenge of integrating enough educational value without sacrificing the fun characteristics. In this article, we detail the designing process of a SG and enumerate the various actors who have to collaborate: project manager, cognitive specialist, domain experts, storyboard writer, artistic director, pedagogical expert, programmers… To help them work together and communicate in an efficient way, we first propose a step by step engineering method that helps the actors collaborate in an efficient and structured way. Each member of the designing team is assigned a set of tasks. Then, we propose authoring tools that can be used to carry out these tasks. They offer the possibility of simultaneously viewing various dimensions of the SG scenario: target knowledge, storyline, learning scenario, fun characteristics… When the authors connect to the platform, each of them is provided with a customized selection of dimensions presented with more or less detail. When interacting with one dimension, the other dimensions react and modify themselves automatically in a synchronized manner. In particular, we present a number of e-learning tools, that have been adapted for SG design and that allow us to specify the target skills that have to be leaned and build the pedagogical learning scenario. The SG authors will also have access to sample SGs and resources to provide them with inspiration for using fun characteristics to captivate the learners and carry them through the learning process. In response to the need felt by many SG authors to store and share their experience, we present a number of tools to help the authors store, find and integrate reusable software components into their SGs.

https://hal.archives-ouvertes.fr/hal-00953318/document

Tools and Methods for Efficiently Designing Serious Games

Many learning environments are swiftly abandoned by the learners, even if they are effective. Gamification is as a recent game-based learning approach that can enhance the learners’ motivation. However, individual expectations and preferences towards game-like features may be very different from one person to another. This paper presents a model to adapt gamification features according to a player profile of the learners. Two version of this model are evaluated within a gamified online learning environment. The first version comes from experts’ judgment, and the second one is induced from empirical data. Our experiments confirm that the first version can be efficient to predict the player’s preferences among the gamification features.

https://hal.archives-ouvertes.fr/hal-01165497/document

A Player Model for Adaptive Gamification in Learning Environments

Background. Many learning environments are quickly deserted by learners, even if they are efficient. Gamification of learning environments is a recent approach used to enhance learners' motivation and participation. Aim. One issue with this approach is that people have various expectations and react differently faced with specific game mechanics. So, an important goal lies in automatically adapting game mechanics according to player types. In this paper, we study the gaming features that can be adapted in learning environments and the player model that can be used for the adaptation process. We propose an approach that aims to predict to which game mechanics a user is responsive, and to adapt the gaming features of the system according to this information. Methodology. An implementation was released, and evaluated through an exploratory study with 59 middle school students, each one using the learning environment during three 45-minutes sessions. Results. The results validate the implementation of the system and show that the users' activity can help to predict their profile. The adaptation process did not improve learners' engagement as expected, but it shows a path for future research toward an adaptive approach for learning environment gamification.

/pdf/adaptation-of-gaming-features-for-motivating-learners-4qxvy2hn7f.pdf

Adaptation of Gaming Features for Motivating Learners

Purpose – This paper presents a part of our research work that places an emphasis on Tracking Data Analysis and Visualization (TrAVis) tools, a web‐based system, designed to enhance online tutoring and learning activities, supported by computer‐mediated communication (CMC) tools. TrAVis is particularly dedicated to assist both tutors and students in the task of exploiting tracking data of communication activities throughout the learning process. This paper focuses on the technical aspects of TrAVis, the visualization of students' tracking data and the experiment we have conducted in an authentic learning situation.Design/methodology/approach – A mixture of iterative and participative approaches has been adopted for the design of TrAVis. Different versions of TrAVis were built during the progress of our research. The major changes in each build have particularly involved the conceptual design of data indicators of students' activities and the visualization techniques of the data indicators. Both case studi...

Sébastien George

Papers

Adaptive Gamification for Learning Environments

Tools and Methods for Efficiently Designing Serious Games

A Player Model for Adaptive Gamification in Learning Environments

Adaptation of Gaming Features for Motivating Learners

TrAVis to Enhance Online Tutoring and Learning Activities: Real-Time Visualization of Students Tracking Data