The User and Domain Models of the TERENCE Adaptive Learning System

Alrifai, Mohammad; Tifrea, Oana; Vittorini, Pierpaolo

doi:10.1007/978-3-642-28801-2_10

Cited by 12 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One could ultimately envision a user-centric software that integrates different sources of information about the user (this could include personality traits, physiological data, demographics, preferences, desires and behaviour) (Cooper, Reimann, and Cronin 2007) and is capable of accurately infering user's affect and consequently suggest personalised content. The concept of context-independent users' models is not new (Kobsa 2001;Bartle 1996) yet very few examples can be found in the literature on providing a general representation of users (Alrifai et al 2012;Heckmann et al 2007) and this field has not been, to the best of our knowledge, researched within the games domain. This might be in part because of the difficulty in defining a shared model of UE that can be used by different systems and because inferring users' state from data collected about the interaction with multiple systems is not an obvious task.…”

Section: Introductionmentioning

confidence: 99%

Towards Generic Models of Player Experience

Shaker

Abou-Zleikha

2021

AIIDE

View full text Add to dashboard Cite

Context personalisation is a flourishing area of research with many applications. Context personalisation systems usually employ a user model to predict the appeal of the context to a particular user given a history of interactions. Most of the models used are context-dependent and their applicability is usually limited to the system and the data used for model construction. Establishing models of user experience that are highly scalable while maintaing the performance constitutes an important research direction. In this paper, we propose generic models of user experience in the computer games domain. We employ two datasets collected from players interactions with two games from different genres where accurate models of players experience were previously built. We take the approach one step further by investigating the modelling mechanism ability to generalise over the two datasets. We further examine whether generic features of player behaviour can be defined and used to boost the modelling performance. The accuracies obtained in both experiments indicate a promise for the proposed approach and suggest that game-independent player experience models can be built.

show abstract

Section: Introductionmentioning

confidence: 99%

Towards Generic Models of Player Experience

Shaker

Abou-Zleikha

2021

AIIDE

View full text Add to dashboard Cite

show abstract

“…TERENCE, part of an FP7 ICT TEL project, builds an adaptive learning system (ALS) [3] for improving the text comprehension of such children. The conceptual model of the TERENCE ALS is described in [1], [2]. In particular, the domain model structures the material of the ALS, namely, stories and games for improving text comprehension.…”

Section: Introductionmentioning

confidence: 99%

The Learners' User Classes in the TERENCE Adaptive Learning System

Mascio

Vittorini

Melonio

et al. 2012

2012 IEEE 12th International Conference on Advanced Learning Technologies

View full text Add to dashboard Cite

Nowadays, circa 10% of 7-11 olds turn out to be poor comprehenders: they demonstrate text comprehension difficulties, related to inference making, despite proficiency in low-level cognitive skills like word reading. To improve the reading comprehension of these children, TERENCE, a technology enhanced learning project, aims at stimulating inference-making about stories. In order to design and develop the TERENCE system, we use a user centred design approach that requires an in depth study of the system's main end-users, namely, its learners and educators. This paper reports on the specification of the user classes for the TERENCE learners by means of user-centred design field studies, the resulting global system architecture, and an example use case of the system, with few related GUI's snapshots.

show abstract

“…For information concerning the reading material and tasks, see [6]. Moreover, the models for the learning material and learners of the system are described in [4], how the user centered design (UCD) was used for them is in [2], whereas some of the adaptation rules are outlined in [5]. The game design for all the TERENCE games is in [3] and, finally, the architecture for games and their automatic generation is outlined in [10].…”

mentioning

confidence: 99%

Pedagogy-Driven Smart Games for Primary School Children

Prieta

Mascio

Marenzi

et al. 2013

Advances in Intelligent Systems and Computing

Self Cite

View full text Add to dashboard Cite

TERENCE is an FP7 ICT European project, highly multi-disciplinary, that is developing an adaptive learning system for supporting poor comprehenders and their educators. Their learning materials are stories and games, explicitly designed for classes of primary schools poor comprehenders, where classes were created via an extensive analysis of the context of use and user requirements. The games are specialised into smart games, which stimulate inference-making for story comprehension, and relaxing games, which stimulate visual perception and which train the interaction with devices (e.g., PC and tablet PC). In this paper we focus on how we used the pedagogical underpinnings and the acquired requirements to design the games of the system.

show abstract

The User and Domain Models of the TERENCE Adaptive Learning System

Cited by 12 publications

References 9 publications

Towards Generic Models of Player Experience

Towards Generic Models of Player Experience

The Learners' User Classes in the TERENCE Adaptive Learning System

Pedagogy-Driven Smart Games for Primary School Children

Contact Info

Product

Resources

About