PALE 2018:
Personalization Approaches
in Learning Environments

The 8th edition of the International Workshop on Personalization Approaches in Learning Environments (PALE) aimed to be jointly organized at both UMAP 2018 and AIED 2018 conferences. UMAP (26th ACM Conference on User Modeling, Adaptation and Personalization) is hosted in Singapore on July 8th-11th and AIED (19th International Conference on Artificial Intelligence in Education) is host in London (UK) on June 27th-30th. Thus, participants from both UMAP and AIED communities could have the opportunity to share their on-going research and receive feedback at both sessions, discussing the application of emerging technology in data collection and processing to support multimodal personalization of learning for the user. Most submissions were received for the AIED session, so the UMAP session had to be cancelled.

PALE 2018 is a follow-up of the seven previous editions of PALE (see details at history). The focus of this workshop series is put on the different and complementary perspectives in which personalization can be addressed in learning environments (e.g., informal, workplace, lifelong, mobile, contextualized, and self-regulated learning). Previous editions have shown several important issues in this field, such as behavior and embodiment of pedagogic agents, suitable support of self-regulated learning, appropriate balance between learner control and expert guidance, design of personal learning environments, contextual recommendations at various levels of the learning process, tracking and reacting to affective states of learners, harmonization of educational and technological standards, big data processing for learning purposes, predicting student outcomes, adaptive learning assessment, and evaluation of personalized learning systems. PALE workshop offers an opportunity to present and discuss a wide spectrum of issues and solutions.

From the past experience we have identified new areas of interest in this research scope to complement the previous ones.

Thus, in this workshop edition we would like to share and discuss the new trends in current research on how user modeling and associated artificial intelligent techniques are able to contextualize and manage the increasing amount of information coming from the task at hand and its surrounding environment in order to provide the personalization support in a wide range of learning environments, which are increasingly more sensitive to the learners and their context. This covers many interrelated fields such as: intelligent tutoring systems, learning management systems, personal learning environments, serious games, agent-based learning environments, and others. Furthermore, we aim to cover the demanding need of personalized learning in wider contexts ranging from daily life activities to massive open online courses (MOOCs).

PALE session at AIED 2018 is specially focused on the enhanced sensitivity towards the management of big educational data coming from learners' interactions (e.g., multimodal sensor detection of attention and affect) and technological deployment (including web, mobiles, tablets, tabletops), and how can this wide range of situations and features impact on modeling the learner interaction and context. In the current state of the art it is not clear how the new information sources are to be managed and combined in order to enhance interaction in a way that positively impacts the learning process whose nature is essentially adaptive. Thus, this session at AIED aims to give and share promising ideas to the research question: "Which approaches can be followed to cater for the increasing amount of information available from immediate (e.g., in terms of wearable devices) to broader contexts in order to provide effective and personalized assistance in learning situations bridging the behavioral and the computational?" Thus, it captures current trends of the research fields of AIED, learning sciences, learning analytics as well as multimodal interaction research in HCI.

PALE session at UMAP 2018 is specially focused on analyzing both learning and teaching situations as well as providing explainable support, thus particularizing the research question to "Which approaches can be followed to cater for the increasing amount of information available from immediate (e.g., in terms of wearable devices) to broader contexts in order to provide effective and personalized assistance in learning and teaching situations?"

PALE format moves away from the classic 'mini-conferences' approach and follows the Learning Cafe methodology to promote discussions on some of the open issues regarding personalization in learning environments. Each Learning Cafe consists of brief presentations of the key questions posed and small group discussions with participants randomly grouped at tables. Each table is moderated by one expert in the topic under discussion (mostly the presenter of the paper who has addressed the issue) and participants change tables during the discussion with the aim to share ideas among the groups.

Submissions of original on-going works and previously unpublished research related to the Workshop Topics are requested.