Search results for "User"

Análisis y validación de una rúbrica para evaluar habilidades de presentación oral en contextos universitarios

2017

Introducción. Este trabajo analiza la validez convergente entre la evaluación sumativa de las habilidades de comunicación oral con apoyo visual de estudiantes universitarios efectuada por el profesorado y por los pares a través de la aplicación de una rúbrica.Método. Se analiza el nivel de convergencia entre las valoraciones efectuadas por el profesorado y por los pares desde una perspectiva analítica –criterio a criterio- y holística –puntuación global-. La percepción de validez y utilidad se determina a partir de las valoraciones efectuadas por los estudiantes sobre ambos aspectos en relación a la rúbrica desarrollada.Resultados. Los estudiantes señalan que la rúbrica resulta útil para ex…

2021

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception. It puts a tremendous strain on society by damaging reputation, public trust, freedom of expression, journalism, justice, truth, and democracy. Therefore, it is of paramount importance to detect and contain unreliable information. Multiple techniques have been proposed to detect fake news propagation in tweets based on tweets content, propagation on the network of users, and the profile of the news generators. Generating human-like content allows deceiving content-based methods. Networ…

OLAP Personalization with User-Describing Profiles

2010

In this paper we have highlighted five existing approaches for introducing personalization in OLAP: preference constructors, dynamic personalization, visual OLAP, recommendations with user session analysis and recommendations with user profile analysis and have analyzed research papers within these directions. We have pointed out applicability of personalization to OLAP schema elements in these approaches. The comparative analysis has been made in order to highlight a certain personalization approach. A new method has been proposed, which provides exhaustive description of interaction between user and data warehouse, using the concept of Zachman Framework [1, 2], according to which a set of…

Extracting Features from Social Media Networks Using Semantics

2016

This paper focuses on the analysis of social media content generated by social networks (e.g. Twitter) in order to extract semantic features. By using text categorization to sort text feeds into categories of similar feeds, it has been proved to reduce the overhead that is required to retrieve these feeds and at the same time, it provides smaller pools in which further investigations can be made easier. The aim of this survey is to draw a user profile, by analysing his or her tweets. In this early stage of research, being a pre-processing phase, a dictionary based approach is considered. Moreover, the paper describes an algorithm used in analysing the text and its preliminary results. This …

WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach

2020

The huge number of modern social network users has made the web a fertile ground for the growth and development of a plethora of recommender systems. To date, recommending a new user profile X to a given user U that could be interested in creating a relationship with X has been tackled using techniques based on content analysis, existing friendship relationships and other pieces of information coming from different social networks or websites. In this paper we propose a recommending architecture - called WhoSNext (WSN) - tested on Twitter and which aim is promoting the creation of new relationships among users. As recent researches show, this is an interesting recommendation problem: for a …

A data-logging mechanism to support e-learning systems

2015

User profiling and e-learning have received great attention in the last years. In a learning environment, user profiling provides historical data of the students' performance on different learning subjects. e-Learning tools such as serious games can collect user's data and build a user profile by appropriate storing these information. Thus, by combining above techniques and analysing each user's data a teacher can provide personalized treatment to her/his students. In this paper we present our solution on storing and analysing user data on a centralized server. Our system stores data collected from users with dyslexia. We maintain one user profile per student from data taken from a) user re…

An approach for recommending personalized contents for homecare users in the context of health 2.0

2014

This paper proposes a content recommendation mechanism as part of a model for implementing ubiquitous learning for supporting people with chronic diseases who are treated at home, so that they can learn more about treatments for their disease. In the proposed approach, the learning takes place based on day-to-day activities and real situations. In this case, the model supports the development of tools that can learn about the user's context, based on data obtained via sensors installed on users or in their home, as well as data supplied directly by the user interface of their mobile devices, and data provided by the healthcare team, and, after that, recommend contents about their diseases.

IANUS - Comparative analysis - Appendix A: UST analysis

2002

UST dimension concerns data different from already analyzed data of ABA, ENQ, and ECO for their own nature: UST data are individual/subjective data while ABA, ENQ, and ECO are aggregate/objective data. So, the analysis criterion used for UST data will be different from that used previously. Our aim, in this section, is an evaluation of the users’ opinions on facilities through a descriptive analysis of our sample results.

Rethinking practices of assessment for learning: Tablet technology supported assessment for learning mathematics

2013

This article discusses assessment for learning in mathematics subjects. It is challenging for teachers of large classes to regularly assess students' mathematics in order to help them improve their learning achievement. Given the complexity of assessing and providing feedback for learning, a new approach to assessment for learning was suggested. Media tablet technology supported assessment processes were devised and user studies were conducted in Norway and Rwanda. There are indications that students like to be involved in assessing each other's mathematics work. Students expect to get learning gains by providing and obtaining feedback to/from their peers using technology supported tools.

enviPath - The environmental contaminant biotransformation pathway resource

2016

The University of Minnesota Biocatalysis/Biodegradation Database and Pathway Prediction System (UM-BBD/PPS) has been a unique resource covering microbial biotransformation pathways of primarily xenobiotic chemicals for over 15 years. This paper introduces the successor system, enviPath (The Environmental Contaminant Biotransformation Pathway Resource), which is a complete redesign and reimplementation of UM-BBD/PPS. enviPath uses the database from the UM-BBD/PPS as a basis, extends the use of this database, and allows users to include their own data to support multiple use cases. Relative reasoning is supported for the refinement of predictions and to allow its extensions in terms of previo…