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Building and especially improving a classification kernel represents a challenging task. The works presented in this paper continue an already developed semi-supervised classification approach that aimed at labelling transcripts from educational videos. We questioned whether the size of the ground-truth data-set (Wikipedia articles) or the quality of the keywords used in the semi-supervised labelling have a significant impact on the accuracy metrics of the final obtained data model. Experimental results took into consideration three Wikipedia data-sets of "Small," "Medium" and "Large" sizes. For each data-set there were used three sets of keywords: offered by video authors, determined by "rake-nltk" on available transcripts and determined by "rake-nltk" on Wikipedia articles that serve as training and testing data for the LDA [latent Dirichlet allocation] model that determine keywords on the transcripts. Experiments show that the size of the data-set has little importance, while the quality of the keywords has a more significant impact. Therefore, an improved version of the previously developed classifier has been obtained by improving the quality of the keywords involved in semi-supervised training. This result paves the way towards further improvements that may finally be deployed as within a recommender system of educational videos at the Universitat Politècnica de València. [For the full proceedings, see ED607784.]

Throughout the years, Mathematical Modeling has gained international attention, not only in research but also in the development of curricula and its applications in the classroom. However, systematic literary surveys are scarce. In this paper, we present some findings from a survey of 485 international publications related to different aspects of mathematical modeling. While the number of Latin-American publications is rather small compared to the number of international publications, the vitality of the currently discussed themes in this region and their innovative perspectives testify to the international relevance of this developed work on mathematical modeling. [This paper is provided in both Spanish and English. For the complete proceedings, see ED606531.]

A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to determine what a student's first course of action will be when dealing with a problem, which may include attempting the problem or asking for help. Even though learner "course of actions" have been studied, it has mostly been used to predict correctness in succeeding problems. In this study, we present initial attempts at building models that utilize student action information: (a) the number of attempts taken and hints requested, and (b) history backtracks of hint request behavior, both of these are used to predict a student's first course of action when working with problems in the ASSISTments tutoring system. Experimental results show that the models have reliable predictive accuracy when predicting students' first course of action on the next problem. [For complete proceedings, see ED560503.]

Findings of a study that examined the relationship between school climate and student persistence are presented in this paper. Two surveys were administered to teachers and students at 10 Austin, Texas, high schools. Three factors of school climate were investigated--teachers as professionals, goals for student learning, and school discipline and management. Findings indicate that schools with positive climates had higher achievement and lower dropout rates. The school climate variables most significantly related to student achievement were teacher expectations for student success and teachers' instructional goals. The findings support the idea that school climate is an important variable in school improvement. Two tables and five figures are included. The appendix contains school-climate survey items by factor. Five figures and two tables are included. (LMI)

The participation in mobile learning programs is conditioned by having/using mobile communication technology. Those who do not have or use such technology cannot participate in mobile learning programs. This study evaluates who are the most likely participants of mobile learning programs by examining the demographic profile and mobile phone usage patterns of those who use their mobile phones to access the internet. The results reveal that using the mobile phone to access the internet is more likely among young people and males. These users are also more likely to explore more functions of the mobile phone such as the camera, the calculator or the agenda than those who do not use the mobile phone for internet-access. [For the full proceedings see ED562140.]

The paper presents a research project where the profitability of incorporating Light Electric Vehicles (LEV) into last-mile distribution systems is evaluated, seeking to meet three particular objectives: (1) determine the benefits in terms of cost, of incorporating LEVs in in the distribution of dry chain products, (2) determine the benefits in terms of cost, of incorporating LEVs in the distribution of mail packages, and (3) identify if such benefits are consistent along different scenarios of a distribution network. The research project is based on the need to promote the insertion of more eco-friendly distribution vehicles in the last-mile distribution operations, and direct data from a pilot test on the subject carried out by the Colombian research company Logyca®, based in Bogotá. This study carries out in-depth research on the subject, through an SLR, thoroughly exploring the mathematical optimization models that have been developed around the world trying to incorporate LEV into logistics distribution models to, eventually, identify the need for documentation of the building process of a model that minimizes operating costs. A sensitivity analysis is performed through the analysis of a designed experiment, which studies different conditions of last-mile distribution networks. Results show a reduction in costs of about 50% by the replacement of conventional trucks with a combination of e-bikes and e-trikes. [ABSTRACT FROM AUTHOR]

Aleuropleurocelus kobei Sánchez-Flores and García-Ochaeta, new species is described from Guatemala on the host plant Casearia aculeata Jacq. (Salicaceae). Microphotographs of morphological structures of the puparia are included and a key to species in the oval to round-shaped group is given. [ABSTRACT FROM AUTHOR]

This study explored the relationship of multiple factors on the criticality of road traffic accidents in CALABARZON Philippines. Five thousand data points from DOH hospital records were used to generate a statistical analysis that can interpret the relevance of each factor on road traffic accident criticality. The significance of each factor was verified through one-way ANOVA. The criticality of road traffic accidents is measured using mean and standard deviation. Results showed that large vehicle size is most likely to cause critical accidents. Driver's age is also a predictor of road accident criticality. It suggests that older drivers are more likely to be involved in critical road accidents than younger drivers. The criticality of road traffic accidents is also dependent on the congestion of the road. The highly congested road tends to limit the driving speed, which reduces the fatality of accidents. From these results, it is highly suggested to impose stricter traffic laws on vehicles that have a larger size. Also, this study recommends the renewal of a driver's license since age has a strong positive correlation with the criticality of traffic accidents. Overall, this study was able to predict the impact of each factor with the criticality of traffic accidents. [ABSTRACT FROM AUTHOR]

With the advent of new technologies and the strengthening of the concept of Industry 4.0, it becomes important to observe the issue of the need for more qualified and up-to-date professionals concerning the labor market. Thus, there is a need to investigate the level of school performance, especially among high school graduates, who will be the ones who will most quickly enter the labor market. In order to compose the research data, the results of the SAEB large-scale evaluation of the year 2015 in the Portuguese Language and Mathematics proficiency were used. The data were collected, standardized and the results presented in groupings by levels, obeying a scale of 0 to 10. RapidMiner software was used for data mining and decision tree construction. The central objective was to identify the best predictive factors for students' performance equal to or greater than 350 points (level 6). The results showed that there is a significant percentage of students with scores lower than 225 points in the two proficiencies analyzed, considered by the government as a concern, since these students did not learn the necessary minimum. The decision trees demonstrated that the level of schooling of the parents or guardians of students can be considered important and fundamental factors for school performance. [ABSTRACT FROM AUTHOR]

Copyright of Conference Papers -- Psychology of Mathematics & Education of North America is the property of Psychology of Mathematics & Education of North America and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research aims to assess the incorporation of iron metal contained in the electric arc furnace dust (EAFD) by addition of iron at a temperature of 1,450 degrees Celsius. The EAFD is from a steel mill producer of long steel. The EAFD will be added in the form of briquettes. The percentage of EAFD to be added is going to be variable and the time of withdrawal of the sample of pig iron and slag is going to be 15 minutes after the addition of EAFD. Previously, the EAFD is going to be characterized using the following techniques: chemical analysis, size analysis, X-ray diffraction, scanning electron microscopy (SEM) and Energy Dispersive Spectroscopy (EDS) microanalysis. The achievement of fusion experiments in laboratory scale, is going to take place in a vertical tubular furnace with temperature control. The fusion experiments to assess the incorporation of the metal iron are going to use alumina crucibles. A flow of inert gas (argon) is going to be maintained inside the furnace during the experiments It is expected that the results obtained at the end of the research allow the evaluation of the iron metal incorporation of EAFD in pig iron bath. [ABSTRACT FROM AUTHOR]

Copyright of IFLA Conference Proceedings is the property of IFLA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This document presents the reasons to set up an open access archive or thematic repository, specialized in the conservation and restoration of cultural heritage, in ICOMOS and coordinated by its Documentation Centre. Firstly, we introduce "open access" and the function and characteristics of open archives. After a short analysis of the current situation of scientific literature in the cultural heritage conservation field, we describe the results of a questionnaire by the Documentation Centre, sent to the ICOMOS committees. We detail the benefits of an open access archive to ICOMOS, its Documentation Centre, ICOMOS members and to the international scientific community in the field of cultural heritage conservation. As there are only a few similar initiatives in this field, the implementation of an open access archive by ICOMOS will help it become the global reference point for the promotion and dissemination of cultural heritage conservation scientific documentation. [ABSTRACT FROM AUTHOR]

Copyright of IFLA Conference Proceedings is the property of IFLA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The rapid development of Internet has given birth to a new era in survey methodology - an era of electronic data collection. Internet offers important advantages for survey research activity but has at the same time some drawbacks that can put at risk survey validity. This paper focus on methodological issues of online surveys; the coverage problem, the sample selection and non-response rates are discussed along with possible strategies to assure representativeness. [ABSTRACT FROM AUTHOR]

This research presents a collaborative framework for carrying out report tasks in group in experimental distance education settings. Proposed task consists of the joint accomplishment of a report task. An individual workspace and another shared one are provided to students, between which they can interchange objects with simple operations, facilitating the construction of new results by composition of others. A model of collaboration based on argumentative discussion allows structuring the interactions of the students and their contributions to the common result. This model includes not only the collaborative editing task, but also it includes other actors (teacher, tutor, marker) and related tasks. All actions are registered, regrouped automatically in units of contribution, and represented of form structured in terms of the conversational model, so that the process of collaboration can be analyzed. The designed tool uses open standards and is, for this reason, easily configurable and integrable in others interactive environments. [ABSTRACT FROM AUTHOR]