The Home Computer in Children's Everyday Life: the case of Greece

The purpose of this paper was to explore the degree of children's access to home computers. From this perspective research was carried out into the following: the initiative to purchase a home computer; the child's familiarisation with a computer at home; the child's computer activities. The research was based on a random sample of 993 children, of whom 305 had a home computer. The children learned about the computer through their older siblings or parents. The computer at home was used by children mainly for games but also in combination with other applications. The results of the research raise questions about the connection between the different use of the computer at home and at school.     

Adaptive web-based learning: accommodating individual differences through system's adaptation

The idea of developing educational hypermedia systems for the Web is very challenging, and demands the synergy of computer science and instructional science. The paper builds on theories from instructional design and learning styles to develop a design rational and guidelines for adaptive web‐based learning systems that use individual differences as a basis of system's adaptation. Various examples are provided to illustrate how instructional manipulations with regards to content adaptation and presentation, and adaptive navigation support, as well as the overall degree of system adaptation, are guided by educational experiences geared towards individual differences.     

Programming video games and simulations in science education: exploring computational thinking through code analysis

Various aspects of computational thinking (CT) could be supported by educational contexts such as simulations and video-games construction. In this field study, potential differences in student motivation and learning were empirically examined through students’ code. For this purpose, we performed a teaching intervention that took place over five weeks, with two-hour sessions per week, plus two more weeks for the pretest and post-test projects. Students were taught programming concepts through a science project; one group represented the function of a basic electric circuit by creating a simulation, while the other group represented the same function by creating a video game in which a player should achieve a score in order to win. Video game construction resulted in projects with higher CT skills and more primitives, as measured through projects’ code analysis. Moreover, the video-game context seems to better motivate students for future engagement with computing activities.     

The effect of pre-exercise ingestion of corinthian currant on endurance performance and blood redox status

The present study investigated the effect of Corinthian currant pre-exercise supplementation on metabolism, performance and blood redox status during, and after prolonged exercise. Eleven healthy participants (21-45y) performed a 90-min constant-intensity (60–70% VO_2max) submaximal-trial, plus a time-trial (TT) to exhaustion (95% VO_2max) after consuming an isocaloric (1.5g CHO/kg BM) amount of randomly assigned Corinthian currant or glucose-drink, or water (control). Blood was drawn at baseline, pre-exercise, 30min, 60min, 90min of submaximal-trial, post-TT, and 1h post-TT. Post-ingestion blood glucose (GLU) under Corinthian currant was higher compared with water, and similar compared with glucose-drink throughout the study. Respiratory quotient under Corinthian currant was similar with glucose-drink and higher than water throughout the submaximal trial. Accordingly, higher CHO and lower fat oxidation were observed under Corinthian currant compared with water. The TT performance was similar between Corinthian currant, glucose-drink and water. Redox status were similar under all three conditions. Reduced glutathione (GSH) declined while total antioxidant capacity (TAC) and uric acid increased during exercise. GSH and TAC returned to baseline, while uric acid remained increased the following 1h. Corinthian currant, although did not alter exercise-mediated redox status changes and performance, was equally effective to a glucose-drink in maintaining GLU levels during prolonged cycling.     

Measurement of self-efficacy and proxy efficacy for middle school youth physical activity

This study developed youth self-efficacy (SEPA) and proxy efficacy (PEPA) measures for physical activity (PA). Proxy efficacy was defined as a youth's confidence in his or her skills and abilities to get others to act in one's interests to create supportive environments for PA. Each spring of their sixth-, seventh-, and eighth-grade years, middle school students completed SEPA and PEPA questions and then, for 3 days, recalled their previous day's after-school PA. Exploratory and confirmatory factor analyses revealed a four-factor structure (SEPA for 1-3 days, SEPA for 5-7 days, PEPA-Parents, PEPA-School). Across study years, SEPA 1-3 days and 5-7 days increased and PEPA-Parents and PEPA-School decreased. Initial levels of PEPA-Parents and SEPA scales were associated with initial levels of PA. From sixth through seventh grade, changes in SEPA scales were associated with changes in PA. Studies should test whether interventions targeting self-efficacy and proxy efficacy influence PA.     

The organization of an educational program for specialists in clinical chemistry by the Greek Society of Clinical Chemistry-Clinical Biochemistry

In Greece, there is no officially organized training in clinical chemistry for scientists. The Greek Society of Clinical Chemistry-Clinical Biochemistry decided to organize an intensive educational program of 18 seminars on clinical chemistry content as it is described in the EC4 Syllabus. The duration of each seminar was about 6 hours and consisted of 6 to 9 lectures. At the end of each seminar there was a voluntary written examination, comprised of 24 multiple choice questions. Successful completion of the Educational program was leading to a Certificate of Competence. Two cycles of the 18 seminars were performed: 1st cycle from October 2003 to December 2005 and 2nd cycle from March 2005 to October 2007. One hundred eighty nine colleagues was the mean attendance per seminar for the seminars of the 1st cycle and 38 colleagues for the seminars of the 2nd cycle. The mean participation to the examination for each seminar was almost 80% for the 1st cycle and 68% for the 2nd cycle. More than 80% of the participants performed Good or Very good in the examination in both cycles. It is estimated that more than 40% of the scientists who practice Clinical Chemistry in Greece, participated to this educational activity. This program is now provided as an e-learning application, and it is open for all scientists who want to follow the discipline of clinical chemistry.     

Towards a Critical Re-Appraisal of Ecology Education: Scheduling an Educational Intervention to Revisit the ‘Balance of Nature’ Metaphor

The ‘Balance of Nature’ metaphor is a pervasive idea in ecology. However, the scientific community acknowledged during the last decades that equilibrium conditions are rare, while disturbance events are not uncommon. We suggest that the exclusive teaching of the ‘Balance of Nature’ metaphor produces cultural, scientific and learning misconceptions about the structure and function of nature. We outline an exemplary educational intervention for high school students to exhibit that the use of computer simulations could serve important educational goals in ecology and environmental education, such as the liberation of the concept of ‘balance’ of its metaphysic burden, the comprehension of the dynamics and the systemic nature of ecological processes and the appreciation of the mutual relation between society and nature.     

Large-scale evaluation framework for local influence theories in Twitter

Influence theories constitute formal models that identify those individuals that are able to affect and guide their peers through their activity. There is a large body of work on developing such theories, as they have important applications in viral marketing, recommendations, as well as information retrieval. Influence theories are typically evaluated through a manual process that cannot scale to data voluminous enough to draw safe, representative conclusions. To overcome this issue, we introduce in this paper a formalized framework for large-scale, automatic evaluation of topic-specific influence theories that are specialized in Twitter. Basically, it consists of five conjunctive conditions that are indicative of real influence exertion: the first three determine which influence theories are compatible with our framework, while the other two estimate their relative effectiveness. At the core of these two conditions lies a novel metric that assesses the aggregate sentiment of a group of users and allows for estimating how close the behavior of influencers is to that of the entire community. We put our framework into practice using a large-scale test-bed with real data from 75 Twitter communities. In order to select the theories that can be employed in our analysis, we introduce a generic, two-dimensional taxonomy that elucidates their functionality. With its help, we ended up with five established topic-specific theories that are applicable to our settings. The outcomes of our analysis reveal significant differences in their performance. To explain them, we introduce a novel methodology for delving into the internal dynamics of the groups of influencers they define. We use it to analyze the implications of the selected theories and, based on the resulting evidence, we propose a novel partition of influence theories in three major categories with divergent performance.     

Dynamic two-stage image retrieval from large multimedia databases

Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. Moreover, CBIR typically ranks the whole collection, which is inefficient for large databases. We experiment with a method for image retrieval from multimedia databases, which improves both the effectiveness and efficiency of traditional CBIR by exploring secondary media. We perform retrieval in a two-stage fashion: first rank by a secondary medium, and then perform CBIR only on the top-K items. Thus, effectiveness is improved by performing CBIR on a ‘better’ subset. Using a relatively ‘cheap’ first stage, efficiency is also improved via the fewer CBIR operations performed. Our main novelty is that K is dynamic, i.e. estimated per query to optimize a predefined effectiveness measure. We show that our dynamic two-stage method can be significantly more effective and robust than similar setups with static thresholds previously proposed. In additional experiments using local feature derivatives in the visual stage instead of global, such as the emerging visual codebook approach, we find that two-stage does not work very well. We attribute the weaker performance of the visual codebook to the enhanced visual diversity produced by the textual stage which diminishes codebook’s advantage over global features. Furthermore, we compare dynamic two-stage retrieval to traditional score-based fusion of results retrieved visually and textually. We find that fusion is also significantly more effective than single-medium baselines. Although, there is no clear winner between two-stage and fusion, the methods exhibit different robustness features; nevertheless, two-stage retrieval provides efficiency benefits over fusion.