Search results for "learning"
showing 10 items of 6669 documents
Continued Multidisciplinary Project-based Learning – Implementation in Health Informatics
2008
Summary Objectives: Problem- and project-based learning are approved methods to train students, graduates and post-graduates in scientific and other professional skills. The students are trained on realistic scenarios in a broader context. For students specializing in health informatics we introduced continued multidisciplinary project-based learning (CM-PBL) at a department of medical informatics. The training approach addresses both students of medicine and students of computer science. Methods: The students are full members of an ongoing research project and develop a project-related application or module, or explore or evaluate a sub-project. Two teachers guide and review the students’ …
A Novel Deep Learning Stack for APT Detection
2019
We present a novel Deep Learning (DL) stack for detecting Advanced Persistent threat (APT) attacks. This model is based on a theoretical approach where an APT is observed as a multi-vector multi-stage attack with a continuous strategic campaign. To capture these attacks, the entire network flow and particularly raw data must be used as an input for the detection process. By combining different types of tailored DL-methods, it is possible to capture certain types of anomalies and behaviour. Our method essentially breaks down a bigger problem into smaller tasks, tries to solve these sequentially and finally returns a conclusive result. This concept paper outlines, for example, the problems an…
State of the Art Literature Review on Network Anomaly Detection with Deep Learning
2018
As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…
Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning
2015
This paper reports the first known solution to the N-Door puzzle when the environment is both non-stationary and deceptive (adversarial learning). The Multi-Armed-Bandit (MAB) problem is the iconic representation of the exploration versus exploitation dilemma. In brief, a gambler repeatedly selects and play, one out of N possible slot machines or arms and either receives a reward or a penalty. The objective of the gambler is then to locate the most rewarding arm to play, while in the process maximize his winnings. In this paper we investigate a challenging variant of the MAB problem, namely the non-stationary N-Door puzzle. Here, instead of directly observing the reward, the gambler is only…
Transgresión moral y enfermedad en los países nórdicos en la temprana Edad Moderna
2009
This article seeks to understand how people in the early modern age interpreted the nature of illness and the role that morality played in these interpretations. From this point of view illnesses were not only psycho-physical states or subjects for medical diagnosis but they were also subjects for narratives or stories through which people tried to understand what had caused their illness, and why it was happening to them. Illnesses were understood as strictly connected with the patient's character and were regarded as possible consequences of his personality. On the other hand, the interpretations also emphasised the ambivalence of a healer. Personal experiences and an understanding of one…
Exploring the affordances of Numbas for mathematical learning: a case study
2020
International audience; The computer-based assessment system Numbas offers new learning possibilities in mathematics education by means of formative feedback. The paper proposes a theoretical framework that captures the affordances emerging from students' interactions with Numbas at the technological, mathematical, and assessment level. The aim of the paper is to explore the affordances that arise from these levels using the theoretical framework as a lens. Based on the results, preliminary conclusions and recommendations for future work are proposed.
The Big Five Traits and Their Ramifications
2020
This chapter focuses on the analysis of the Big Five traits, discussed in relation to the classical and modern views on the trait hierarchy. In the next section the socioaffective, cognitive and educational, as well as behavioural ramifications of each trait are outlined in order to create a general background for the analysis of the Big Five in the foreign language learning context. In the light of the above considerations, each trait appears to have beneficial, and also negative effects for the individual’s functioning. Finally, a discussion of age and gender differences in the Big Five, and their development across the lifespan is offered.
Macro MOOC learning analytics
2020
Massive Open Online Courses (MOOCs) have opened new educational possibilities for learners around the world. Numerous providers have emerged, which usually have different targets (geographical, topics or language), but most of the research and spotlight has been concentrated on the global providers and studies with limited generalizability. In this work we apply a multi-platform approach generating a joint and comparable analysis with data from millions of learners and more than ten MOOC providers that have partnered to conduct this study. This allows us to generate learning analytics trends at a macro level across various MOOC providers towards understanding which MOOC trends are globally …
Subjective well-being key elements of Successful Aging: A study with Lifelong Learners older adults from Costa Rica and Spain.
2019
Abstract Subjective well-being is a major psychological construct in the research tradition. Along with literature, authors have distinguished between hedonic and eudaimonic well-being. The aim of this study is to determine the role of some psychosocial variables plays in the perceived well-being is conceived from a hedonic or a eudaimonic perspective. The sample consisted of 1016 people of 55 years and older in a Spanish sample and 277 people of 55 years old or older from a Costa Rican sample. Both samples were part of the Longitudinal Older Learners (LOL) study. A structural model with latent variables was estimated with Mplus. The results point out that, the traditional variables include…
Laparoscopic subtotal gastrectomy for the treatment of advanced gastric cancer: a comparison with open procedure at the beginning of the learning cur…
2017
Background: In the last decades, after some initial concern, laparoscopic subtotal gastrectomy (LSG) is gaining popularity also for the treatment of advanced gastric cancer (AGC). The aim of this study is to compare a single surgeon initial experience on LSG and open subtotal gastrectomy in terms of surgical safety and radicality, postoperative recovery and midterm oncological outcomes. Methods: a case control study was conducted matching the first 13 LSG for AGC with 13 open procedures performed by the same surgeon. Operative and pathological data, postoperative parameters and midterm oncological outcomes were analyzed. Results: There was no significant difference in mortality (0%) and mor…