Using Cognitive Computing for Learning Parallel Programming: An IBM Watson Solution

While modern parallel computing systems provide high performance resources, utilizing them to the highest extent requires advanced programming expertise. Programming for parallel computing systems is much more difficult than programming for sequential systems. OpenMP is an extension of C++ programming language that enables to express parallelism using compiler directives. While OpenMP alleviates parallel programming by reducing the lines of code that the programmer needs to write, deciding how and when to use these compiler directives is up to the programmer. Novice programmers may make mistakes that may lead to performance degradation or unexpected program behavior. Cognitive computing has shown impressive results in various domains, such as health or marketing. In this paper, we describe the use of IBM Watson cognitive system for education of novice parallel programmers. Using the dialogue service of the IBM Watson we have developed a solution that assists the programmer in avoiding common OpenMP mistakes. To evaluate our approach we have conducted a survey with a number of novice parallel programmers at the Linnaeus University, and obtained encouraging results with respect to usefulness of our approach

Використання хмарних обчислень для розвитку інформаційно-комунікаційної компетентності вчителів

The article deals with the problem for development of techers’ information and communication competence and use of cloud computing for it. The analysis of the modern approaches to the use of cloud technologies and projects for professional development of teachers and development of teachers’ information and communication competence have been presented.There are the main characteristics of software as a service on the Internet for education leading companies Google, Microsoft, IBM. There are described some actions of these companies, which are conducted to help teachers to master cloud technology for improving the professional activities and development of teachers’ information and communication competence. The examples of ways of development of teachers’ information and communication competence and training teachers to use modern ICT in the professional activity are given in the paper. The Cloud based model for development of teachers’ information and communication competence has been proposed.Стаття присвячена проблемі розвитку інформаційно-комунікаційної компетентності вчителів за допомогою використання хмарних обчислень. Здійснюється аналіз сучасних підходів до використання хмарних технологій та проектів для професійного розвитку вчителів та розвитку інформаційно-комунікаційної компетентності вчителів. Пропонуються основні характеристики хмарних обчислень провідних компаній Google, Microsoft, IBM, з точки зори їх необхідності для здійснення навчального процесу в мережі Інтернет. Описуються дії цих компаній та інші навчальні проекти, метою яких є розвиток інформаційно-комунікаційної компетентності вчителів за допомогою хмарних обчислень. Наводяться приклади шляхів рішення проблеми розвитку інформаційно-комунікаційної компетентності вчителів за допомогою використання сучасних інформаційно-комунікаційних технологій. Запропонована модель розвитку інформаційно-комунікаційної компетентності вчителів на базі хмарних обчислень, виділені основні вимоги та елементи цієї моделі

Evaluating the development of wearable devices, personal data assistants and the use of other mobile devices in further and higher education institutions

This report presents technical evaluation and case studies of the use of wearable and mobile computing mobile devices in further and higher education. The first section provides technical evaluation of the current state of the art in wearable and mobile technologies and reviews several innovative wearable products that have been developed in recent years. The second section examines three scenarios for further and higher education where wearable and mobile devices are currently being used. The three scenarios include: (i) the delivery of lectures over mobile devices, (ii) the augmentation of the physical campus with a virtual and mobile component, and (iii) the use of PDAs and mobile devices in field studies. The first scenario explores the use of web lectures including an evaluation of IBM's Web Lecture Services and 3Com's learning assistant. The second scenario explores models for a campus without walls evaluating the Handsprings to Learning projects at East Carolina University and ActiveCampus at the University of California San Diego . The third scenario explores the use of wearable and mobile devices for field trips examining San Francisco Exploratorium's tool for capturing museum visits and the Cybertracker field computer. The third section of the report explores the uses and purposes for wearable and mobile devices in tertiary education, identifying key trends and issues to be considered when piloting the use of these devices in educational contexts

Technology-enhanced Personalised Learning: Untangling the Evidence

Technology-enhanced personalised learning is not yet common in Germany, which is why we have tasked scientists with summarising the current status of international research on the matter. This study demonstrates the great potential of technology in implementing effective personalised learning. Nevertheless, it has not been assessed yet whether the practical implementation actually works: Even in countries such as the U.S., which lead the way in using techology in classroom settings, hardly any evaluation studies have been done to prove the effectiveness of technology-enhanced personalised learning. In the light of the above, the authors make recommendations for actions to be taken in Germany to make best use of the potential of technology in providing individual support and guidance to students

Beyond the Bubble: Technology and the Future of Student Assessment

Provides an overview of information technology's potential to enable better assessments of student achievement. Outlines promising models for testing complex skills, cognition, and learning and for utilizing such assessments to improve instruction

Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets.

Today, people generate and store more data than ever before as they interact with both real and virtual environments. These digital traces of behavior and cognition offer cognitive scientists and psychologists an unprecedented opportunity to test theories outside the laboratory. Despite general excitement about big data and naturally occurring datasets among researchers, three gaps stand in the way of their wider adoption in theory-driven research: the imagination gap, the skills gap, and the culture gap. We outline an approach to bridging these three gaps while respecting our responsibilities to the public as participants in and consumers of the resulting research. To that end, we introduce Data on the Mind ( http://www.dataonthemind.org ), a community-focused initiative aimed at meeting the unprecedented challenges and opportunities of theory-driven research with big data and naturally occurring datasets. We argue that big data and naturally occurring datasets are most powerfully used to supplement-not supplant-traditional experimental paradigms in order to understand human behavior and cognition, and we highlight emerging ethical issues related to the collection, sharing, and use of these powerful datasets

Associations between objectively measured and self‐reported sleep with academic and cognitive performance in adolescents: DADOS study

Adequate sleep has been positively related with health and school achievement out-comes during adolescence. The aim of this study was to investigate the associations ofobjectively measured and self‐reported sleep duration and quality with academic andcognitive performance in adolescents. This study was conducted with 257 adolescents(13.9 ± 0.3 years) from the DADOS study (Deporte, ADOlescencia y Salud). Objec-tively measured and self‐reported sleep duration and quality were obtained by a wrist‐worn GENEActiv accelerometer and the Spanish version of Pittsburgh Sleep QualityIndex questionnaire, respectively. Academic performance was analysed through schoolrecords using four indicators: math, language, science and grade point average score.Cognitive performance was measured using the Spanish version of the“SRA Test ofEducational Ability”. After Benjamini–Hochberg correction for the false discovery rate,objectively measured sleep duration was negatively associated with verbal ability (β=−0.179,p= .004), whilst self‐reported sleep quality was positively associated withacademic performance (βranging from 0.209 to 0.273; allp<.001). These associationsremained significant after further controlling for physical fitness and physical activity.Conversely, there were no associations between self‐reported sleep duration andobjective sleep quality with academic and cognitive performance. Our findings fit inline with previous research showing that sleep quality may play an important role onadolescents’academic performance. Further interventional research is needed to clar-ify the mechanisms by which sleep is related to academic performance in youth