Search results for "Active learning."

Experimentation with a System Dynamics Based Interactive Learning Environment A Case Study of Accessibility of Norwegian Municipalities Websites

2017

The BioS4You European project: An innovative way to effectively engage Z-generation students in STEM disciplines

2021

In this contribution, we present the BioS4You project and analyse the results obtained in the first 18 months of its activity. The “Bio-Inspired STEM topics for engaging young generations” (BioS4You) Erasmus+ KA2 Innovation project aims to bridge the gap between STEM national curricula (which include Science, Technology, Engineering, and Mathematics) and the needs of Z-generation students, uninterested to basic themes, but enthusiastic in issues related to environmental, social, and health concerns. The BioS4You project engages young learners in STEM subjects, starting with current issues of interest for them, as the social and environmental impact of new technologies, connecting STEM conce…

AAA: Aulas de aprendizaje activo

2021

Para promover el aprendizaje de los alumnos, algunas universidades están creando espacios de aprendizaje activo que reemplazan a las aulas tradicionales de clase magistral. En la Universitat Jaume I de Castelló se han creado dos aulas (denominadas TEAM) para potenciar el aprendizaje cooperativo. Este trabajo tiene como objetivo describir el aula TEAM, explicar dos proyectos complementarios dirigidos a mejorar su funcionamiento y presentar los resultados de la primera de sus tres fases. To promote student learning, some universities are creating active learning spaces that replace traditional master class classrooms. In Universitat Jaume I de Castelló, two classrooms (called TEAM) have been …

Discovering single classes in remote sensing images with active learning

2012

When dealing with supervised target detection, the acquisition of labeled samples is one of the most critical phases: the samples must be yet representative of the class of interest, but must also be found among a vast majority of non-target examples. Moreover, the efficiency of the search is also an issue, since the samples labeled as background are not used by target detectors such as the support vector data description (SVDD). In this work we propose a competitive and effective approach to identify the most relevant training samples for one-class classification based on the use of an active learning strategy. The SVDD classifier is first trained with insufficient target examples. It is t…

Catalogue of Interactive Learning Objectives to improve an Integrated Medical and Dental Curriculum.

2016

ABSTRACT Introduction Online learning media are increasingly being incorporated into medical and dental education. However, the coordination between obligatory and facultative teaching domains still remains unsatisfying. The Catalogue of Interactive Learning Objectives of the University Clinic of Mainz (ILKUM), aims to offer knowledge transfer for students while being mindful of their individual qualifications. Its hierarchical structure is designed according to the Association for Dental Education in Europe (ADEE) levels of competence. Materials and methods The ILKUM was designed to establish a stronger interconnection between already existing and prospective learning strategies. All conte…

Accessibility of Norwegian Municipalities Websites: A Decision Support Tool

2011

Access to public websites is crucial to assure equal opportunities for all citizens to participate in society. Although, a range of studies to analyse the accessibility of websites have been carried out, we have not been able to find any study evaluating the effect of managerial decisions on the accessibility of websites. This paper presents a demonstrator simulation model, built using System Dynamics methodology. The model focuses on accessibility of Norwegian Municipal websites, and is intended to be used as a decision support tool, mainly for managers responsible for website development and maintenance. To build the underlying model we have used information collected from in-depth interv…

The Raising Factor, That Great Unknown. A Guided Activity for Undergraduate Students

2020

In the first years of their economics degree programs, students will face many problems successfully dealing with a range of subjects with quantitative content. Specifically, in the field of statistics, difficulties to reach some basic academic achievements have been observed. Hence, a continuing challenge for statistics teachers is how to make this subject more appealing for students through the design and implementation of new teaching methodologies. The latter tend to follow two main approaches. On the one hand, it is useful for the learning process to propose practical activities that can connect theoretical concepts with real applications in the economic context. On the other hand, we …

Teaching programming by emphasizing self-direction: How did students react to the active role required of them?

2013

Lecturing is known to be a controversial form of teaching. With massed classrooms, in particular, it tends to constrain the active participation of students. One of the remedies applied to programming education is to use technology that can vitalize interaction in the classroom, while another is to base teaching increasingly on programming activities. In this article, we present the first results of an exploratory study, in which we teach programming without lectures, exams, or grades, by heavily emphasizing programming activity, and, in a pedagogical sense, student self-direction. This article investigates how students reacted to the active role required of them and what issues emerged in …

Langage et Apprentissage en Interaction pour des Assistants Numériques Autonomes - Une Approche Développementale

2021

The rapid development of digital assistants (DA) opens the way to new modes of interaction. Some DA allows users to personalise the way they respond to queries, in particular by teaching them new procedures. This work proposes to use machine learning methods to enrich the linguistic and procedural generalisation capabilities of these systems. The challenge is to reconcile rapid learning skills, necessary for a smooth user experience, with a sufficiently large generalisation capacity. Though this is a natural human ability, it remains out-of-reach for artificial systems and this leads us to approach these issues from the perspective of developmental Artificial Intelligence. This work is thus…

Towards identifying drug side effects from social media using active learning and crowd sourcing.

2019

Motivation Social media is a largely untapped source of information on side effects of drugs. Twitter in particular is widely used to report on everyday events and personal ailments. However, labeling this noisy data is a difficult problem because labeled training data is sparse and automatic labeling is error-prone. Crowd sourcing can help in such a scenario to obtain more reliable labels, but is expensive in comparison because workers have to be paid. To remedy this, semi-supervised active learning may reduce the number of labeled data needed and focus the manual labeling process on important information. Results We extracted data from Twitter using the public API. We subsequently use Ama…