On Efficiency of Selected Machine Learning Algorithms for Intrusion Detection in Software Defined Networks

We propose a concept of using Software Defined Network (SDN) technology and machine learning algorithms for monitoring and detection of malicious activities in the SDN data plane. The statistics and features of network traffic are generated by the native mechanisms of SDN technology. In order to conduct tests and a verification of the concept, it was necessary to obtain a set of network workload test data. We present virtual environment which enables generation of the SDN network traffic. The article examines the efficiency of selected  machine learning methods: Self Organizing Maps and Learning Vector Quantization and their enhanced versions. The results are compared with other SDN-based IDS

Effects of immersion in inquiry-based learning on student teachers’ educational beliefs

Professional development on inquiry-based learning (IBL) generally draws heavily on the principle of providing instruction in line with what teachers are expected to do in their classroom. So far, however, relatively little is known about how this impacts teachers' educational beliefs, even though these beliefs ultimately determine their classroom behavior. The present study therefore investigates how immersion in inquiry-based learning affects student teachers' beliefs about knowledge goals, in addition to their self-efficacy for inquiry. In total, 302 student history teachers participated in a 4-h long inquiry activity designed within the WISE learning environment, and completed a pre- and posttest right before and after the intervention. Multilevel analyses suggest that the intervention had a significant positive effect on the value that student teachers attributed to procedural knowledge goals, or learning how historical knowledge is constructed, and on student teachers' self-efficacy for conducting inquiries. Despite these general positive results, however, the results also show that the impact of the intervention differed significantly across students. In particular, it appears that immersion in IBL had little effect on a subgroup of 25 student-teachers, who held largely content-oriented beliefs. Based on these findings, the present study discusses a number of implications for professional development on IBL

The Interplay Between Self-Regulated Professional Learning And Teachers’ Work-Practice

This paper explores the relationship between practice and learning in the workplace, by focusing on the case of teachers. It is widely acknowledged that (teacher’s) professional learning is heavily informed by practice, and that an individual’s capacity to self-regulate their learning can improve the quality of learning. However less is known about the precise interplay between practice and self-regulated-learning. This paper integrates existing literature in three areas: professional learning, self-regulated learning and teacher professional development, drawing on recent work describing learning behaviors in informal workplace settings and on Teacher Professional Development. The paper develops a hypothesis on how teachers’ work practice stimulates their learning processes and, at the same time, is informed by their capacity to self-regulate their learning

Integrated process of images and acceleration measurements for damage detection

The use of mobile robots and UAV to catch unthinkable images together with on-site global automated acceleration measurements easy achievable by wireless sensors, able of remote data transfer, have strongly enhanced the capability of defect and damage evaluation in bridges. A sequential procedure is, here, proposed for damage monitoring and bridge condition assessment based on both: digital image processing for survey and defect evaluation and structural identification based on acceleration measurements. A steel bridge has been simultaneously inspected by UAV to acquire images using visible light, or infrared radiation, and monitored through a wireless sensor network (WSN) measuring structural vibrations. First, image processing has been used to construct a geometrical model and to quantify corrosion extension. Then, the consistent structural model has been updated based on the modal quantities identified using the acceleration measurements acquired by the deployed WSN. © 2017 The Authors. Published by Elsevier Ltd

Iowa 100% E News, February 2002, Vol.2, no.2

Newsletter for the Information Technology Departmen

Reflections on eportfolio professional learning: harnessing an unconference approach

This practitioner-led article documents the journey of a cross-institutional multidisciplinary team to support the development of practitioners’ ePortfolio professional competencies through an “Unconference.” We describe the approach used to support an ePortfolio unconference hosted in January 2018 at Dublin City University. According to Budd et al. (2015), the most meaningful professional learning at conferences tends to occur at the cofee breaks when delegates are free to engage in open dialogue. An unconference is a dynamic participant-driven conference which features discussion and collaboration at its core to support professional learning. This approach was chosen to capture, develop and document current ePortfolio practice in Ireland and the United Kingdom. This article outlines key facets of professional learning generated as a result of the unconference including the promotion of ePortfolio competencies and the generation of collaborative research outputs. At the unconference, attendees participated in experiential learning opportunities which enhanced and extended their personal and professional ePortfolio competencies as well as developed practice-focused research outputs collaboratively in real time using a range of technological tools. Participant feedback highlights the impact of the unconference on their professional ePortfolio learning and practice, and the critical refections of unconference organizers inform future ePortfolio professional development

Metadata and ontologies for organizing students’ memories and learning: standards and convergence models for context awareness

Este artículo trata de las ontologías que sirven para la comprensión en contexto y la Gestión de la Información Personal (PIM)y su aplicabilidad al proyecto Memex Metadata(M2). M2 es un proyecto de investigación de la Universidad de Carolina del Norte en Chapel Hill para mejorar la memoria digital de los alumnos utilizando tablet PC, la tecnología SenseCam de Microsoft y otras tecnologías móviles(p.ej. un dispositivo de GPS) para capturar el contexto del aprendizaje. Este artículo presenta el proyecto M2, dicute el concepto de los portafolios digitales en las actuales tendencias educativas, relacionándolos con las tecnologías emergentes, revisa las ontologías relevantes y su relación con el proyecto CAF (Context Awareness Framework), y concluye identificando las líneas de investigación futuras.This paper focuses on ontologies supporting context awareness and Personal Information Management (PIM) and their applicability in Memex Metadata (M2) project. M2 is a research project of the University of North Carolina at Chapel Hill to improve student digital memories using the tablet PC, Microsoft’s SenseCam technology, and other mobile technologies (e.g., a GPS device) to capture context. The M2 project offers new opportunities studying students’ learning with digital technologies. This paper introduces the M2 project; discusses E-portfolios and current educational trends related to pervasive computing; reviews relevant ontologies and their relationship to the projects’ CAF (context awareness framework), and concludes by identifying future research directions

Computer-based library or computer-based learning?

Traditionally, libraries have played the role of repository of published information resources and, more recently, gateway to online subscription databases. The library online catalog and digital library interface serve an intermediary function to help users locate information resources available through the library. With competition from Web search engines and Web portals of various kinds available for free, the library has to step up to play a more active role as guide and coach to help users make use of information resources for learning or to accomplish particular tasks. It is no longer sufficient for computer-based library systems to provide just search and access functions. They must provide the functionality and environment to support learning and become computer-based learning systems. This paper examines the kind of learning support that can be incorporated in library online catalogs and digital libraries, including 1) enhanced support for information browsing and synthesis through linking by shared meta-data, references and concepts; 2) visualization of related information; 3) adoption of Library 2.0 and social technologies; 4) adoption of Library 3.0 technologies including intelligent processing and text mining