2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)

MOOC environments seem to offer massive potential for social learning. However, MOOC environments have unique challenges for pedagogy which are not present in other socio-constructivist learning environments: the scale and diversity of participation. Many points of view are accessible, but few means of filtering. This paper examines interaction data from several MOOCs. Interaction data is an indic... View full abstract»

Online tutorial is a major topic in the e-learning field. With the huge and increasing number of web services and web applications, tutorials are facing challenge. The e-learning field needs an open Eco-system. Students need tutorials which guide learner in real-time context. Tutorial creators want that tutorial is convenience to transport, edit, and delivery. This paper proposes an idea of open E... View full abstract»

MOOCs are increasingly being used to impart education at different levels. However, skill based courses are still in their early age. This paper presents a study done on a 3D animation MOOC. Learner data of performance in quizzes, perception of learning, and interest was gathered. Participants were grouped, accordingly to their prior exposure to online courses, as first time learners experienced l... View full abstract»

Co-tagging refers to the process of adding the same tag to one or more digital resources by two or more taggers. This process can be modelled as a social network, also known as co-tagging network, where the actors are the taggers and the relationships between them are the common tags that they have used. Co-tagging networks have been studied by applying social network analysis (SNA) metrics so as ... View full abstract»

In the field of Technology-enhanced Learning (TeL), social tagging has been applied to Learning Object Repositories (LORs) mainly as a means to offer an alternative way of classifying the LOs based on the tag vocabulary (i.e. the collection of tags created by the end-users of the LOs). Nevertheless, in order to be able to understand how a social tagging system performs and whether it can deliver t... View full abstract»

Communities of learning face two major problems for his development, low quality and quantity of participation and information overload due to high amount of participation. These two problem can be solved by giving instant feedback and ordering the data available in the online environment. This work presents an automatic method to evaluate and quantificate participation in order to score messages ... View full abstract»

The sheer size of the student body for MOOC and the diversity of their learning styles and backgrounds demand that we develop alternatives to the one-size-fits-all pedagogy used in residential education. An important aspect of this endeavor is the segmentation of the video material, since it forms the omnipresent and central part of every course, and structuralized videos allow non-linear navigati... View full abstract»

A "keywords cloud" learning interest/difficult reminding system based on learners' video watching logs and subtitles is proposed for promoting self-paced MOOC learning. By identifying the hot video segments (via video seek event counts) and weighting the keywords of hot video segments, we are able to establish the "keywords cloud" of each learning topic. This feature is valuable for learners to qu... View full abstract»

Exploratory Learning with Virtual Companions Sharing Attention and Context (EVA) is a concept for mediated teaching and learning that sits at the intersection of exploratory learning, telepresence, and attention awareness. The companion teacher is informed about the attentional state and environment of the learner, and can refer directly to this environment through marking or annotation. To the le... View full abstract»

Some recent studies discussed the pros and cons of gender difference in the use of intelligent educational technologies. According to these studies, there is a difference in behavior, attitude, learning and emotion. However, most of the studies were conducted for Mathematics and in a well developed ecological setting. In this work, we investigated the Mars and Venus Effect, by measuring together d... View full abstract»

Prior research aimed at identifying linguistic features of tutoring that predict learning found interactions between student characteristics (e.g., incoming knowledge level, gender, and affect) and learning. This paper addresses the question: What do these interactions suggest for developing adaptive natural-language tutoring systems? We summarize two studies which investigated interactions betwee... View full abstract»

We provide texts generated by speech-to-text-recognition (STR) technology for non-native English speakers during lectures in English. We aim to test the feasibility of our approach. Our results show that participants who learned with STR-texts outperformed those who learned without them. Results also show no significant effect of STR-texts on post-test scores of the low and high ability participan... View full abstract»

In this paper, we consider the key dimensions of learning analytics applications in adaptive learning. We then review recent publications on the topic and map them to the dimensions of the reference model. Twenty one peer-reviewed articles are identified and analyzed. The findings of the review suggest that interesting work has been carried out during the last years on the topic. Yet, there is a c... View full abstract»

This paper presents a dynamic Bayesian network model for the assessment of students' algebraic knowledge in step-based intelligent tutoring systems. The proposed work assesses knowledge about concept, skills, and misconceptions of learners. Furthermore, the proposed model is independent of the problems provided by the system (i.e., equations), because it considers the algebraic operation used by t... View full abstract»

Personalized learning that is tailored to individual needs, preference, and interests may improve student learning experience and outcome. With the aid of computing technology, it is becoming possible to deliver personalized learning to a large and diverse student population. One of the key problems involved is the determination of the pathway which each learner follows to complete a learning prog... View full abstract»

While online learning is already a part of university education and didactics, not all students have the necessary self-regulation competency to really learn on their own efficiently and effectively. In classroom a teacher can take over a moderating part, set intermediate goals and give feedback to one's progress, but participants of online learning courses (e.g. in blended scenarios or Massive Op... View full abstract»

The operationalization of learning scenarios on learning management systems (LMS) is more than a technology-related question. Different research issues around instructional design are to be addressed in order to provide pedagogical expressiveness of the different elements within a learning scenario, while it respects sufficiently the structure to describe it. In this work, we examine existing patt... View full abstract»