Learner course recommendation in e-learning based on swarm intelligence

Se dan unas recomendaciones en la enseñanza asistida por ordenador (e-learning) basada en la inteligencia colectiva.This paper analyses aspects about the recommendation process in distributedinformation systems. It extracts similarities and differences between recommendations in estores and the recommendations applied to an e-learning environment. It also explains the phenomena of self-organization and cooperative emergence in complex systems coupled with bio-inspired algorithms to improve knowledge discovery and association rules. Finally, the present recommendation is applied to e-learning by proposing recommendation by emergence in a multi.agent system architecture

Power to the Teachers:An Exploratory Review on Artificial Intelligence in Education

This exploratory review attempted to gather evidence from the literature by shedding light on the emerging phenomenon of conceptualising the impact of artificial intelligence in education. The review utilised the PRISMA framework to review the analysis and synthesis process encompassing the search, screening, coding, and data analysis strategy of 141 items included in the corpus. Key findings extracted from the review incorporate a taxonomy of artificial intelligence applications with associated teaching and learning practice and a framework for helping teachers to develop and self-reflect on the skills and capabilities envisioned for employing artificial intelligence in education. Implications for ethical use and a set of propositions for enacting teaching and learning using artificial intelligence are demarcated. The findings of this review contribute to developing a better understanding of how artificial intelligence may enhance teachers’ roles as catalysts in designing, visualising, and orchestrating AI-enabled teaching and learning, and this will, in turn, help to proliferate AI-systems that render computational representations based on meaningful data-driven inferences of the pedagogy, domain, and learner models

Modeling Emotional Valence Integration From Voice and Touch

In the context of designing multimodal social interactions for Human–Computer Interaction and for Computer–Mediated Communication, we conducted an experimental study to investigate how participants combine voice expressions with tactile stimulation to evaluate emotional valence (EV). In this study, audio and tactile stimuli were presented separately, and then presented together. Audio stimuli comprised positive and negative voice expressions, and tactile stimuli consisted of different levels of air jet tactile stimulation performed on the arm of the participants. Participants were asked to evaluate communicated EV on a continuous scale. Information Integration Theory was used to model multimodal valence perception process. Analyses showed that participants generally integrated both sources of information to evaluate EV. The main integration rule was averaging rule. The predominance of a modality over the other modality was specific to each individual

Foregrounding the “I” in IS Research : A Plea for Research on Computer-mediated Human Information Behaviour

Starting in the mid of the 20th century, the emergence of contemporary information technologies has dramatically changed the way information is disseminated and absorbed in organizational and private contexts. Recent advances in information technology make information ubiquitously available with the help of novel hardware and software, like mobile devices, corporate social networks or microblogging services. They enable organizational actors and private users to access information from multiple sources across a multitude of different computer-based channels. However, today’s abundance of information does not only result in higher organizational productivity and an enrichment of its recipients’ lives in general. It also introduces new challenges as the mental information processing capabilities of human IS users improve not at the same speed as hardware and software technologies do, being constrained by cognitive limitations and evolutionary-shaped behavioural patterns guiding the absorption and use of information. Hence, it appears to be paramount to consider the aforementioned limitations as one important facet of human information behaviour with respect to a more human-centric use and design of information systems. Faster and more intelligent data processing capabilities, which recently have often been expressed with the term "big data", does not automatically lead to a better understanding of mental information processing capabilities of humans. Thus, we propose to focus on the processes and states that occur when humans process information in their brain as well. The entity “information” is a constituent of the Information Systems discipline, thus underlining the field’s focus on the development and use of technologies that support humans in gathering and processing information that are required in various business and private contexts. Unfortunately, however, the analysis and explanation of the relationship between human technology users and the entity information has never been the discipline’s core research in3 terest. In fact, research on the behaviour of human beings when interacting with information in computer-based contexts is largely fragmented and frequently generates conflicting results. Consequently, the goal of this paper is twofold. First, it reviews existing research with respect to information or information related behaviours. Second, based on the findings of the review, it intend to demonstrate how the research on computer-mediated information behaviours could significantly enrich IS research. Thus, we provide a profound and structured overview of extant research on the relationship between human beings and the entity information in the IS domain. Then, the article aims at creating intertextual coherence by harmonizing fragmented pieces of research as well as to identify fundamental research gaps that motivate promising future research trajectories. The latter will be exemplified with the yet under-researched phenomena of channel-dependent information seeking, information stopping, and information avoidance behaviour. Toward this end, the IS literature on information behaviours is analyzed using a conceptual framework developed based upon a synthesis and extenbsion of previous work on human information behaviour. Where appropriate, articles from non-IS journals are integrated into the analysis to complement and extend the findings. The result is a review article centred around organizing our existing knowledge of human behaviour in relation to the entity information in computer-based contexts with the overarching goal of advancing theory development