Aquarius/SAC-D mission: Telemetry data analysis for the first year

2012 ◽  
Author(s):  
E.M. Godfrin ◽  
I. Prario ◽  
J.C. Duran
Keyword(s):  
Data Analysis ◽  
First Year ◽  
Telemetry Data

scholarly journals Schnëssen. Surveying language dynamics in Luxembourgish with a mobile research app

2021 ◽  
Vol 7 (s1) ◽  
Author(s):  
Nathalie Entringer ◽  
Peter Gilles ◽  
Sara Martin ◽  
Christoph Purschke
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Participatory Research ◽  
Picture Naming ◽  
Mobile App ◽  
First Year ◽  
The Public ◽  
Audio Recordings ◽  
Research Platform ◽  
Interactive Map

Abstract The mobile app Schnëssen establishes a digital and participatory research platform to collect data on present-day spoken Luxembourgish through crowdsourcing and to present the results of data analysis to the general public. Users can participate in different kinds of audio recording tasks (translation, picture naming, reading, question) as well as in sociolinguistic surveys. All audio recordings are accessible to the public via an interactive map, which allows the participants to explore variation in Luxembourgish themselves. In the first year of data collection, roughly 210.000 recordings have be collected covering numerous variation phenomena on all linguistic levels. Additionally, over 2800 sociolinguistic questionnaires have been filled out. Compiling such amounts of data, the Schnëssen app represents the largest research corpus of spoken Luxembourgish.

scholarly journals The swarm intelligence algorithms and their application for the educational data analysis

2019 ◽  
Vol 23 (5) ◽  
pp. 33-43
Author(s):  
Y. Yu. Dyulicheva
Keyword(s):  
Data Analysis ◽  
Swarm Intelligence ◽  
Learning Objects ◽  
Ant Algorithm ◽  
First Year ◽  
Optimal Learning ◽  
First Year Students ◽  
Learning Content ◽  
Learning Path ◽  
Level Of Knowledge

The purpose of the paper is the investigation of the modern approaches and prospects for the application of swarm intelligence algorithms for educational data analysis, as well as the possibility of using of ant algorithm modifications for organizing educational content in adaptive systems for conducting project seminars.Materials and methods. The review of the modern articles on the educational data analysis based on swarm intelligence algorithms is provided; the approaches to solving problem of the optimal learning path construction (optimal organization of the learning objects) based on the algorithm and its modifications taking into account the students’ performance in the process of the optimal learning path construction are investigated; the application of particle swarm optimization and its modification based on Roccio algorithm for the reduction of curse dimension in the problem of the auto classifying questions; the application of ant algorithm, bee colony algorithm and bat algorithm for recommender system construction are studied; the prediction of students’ performance based on particle swarm optimization is researched in the article. The modification of ant algorithm for optimal organization of learning objects at projects seminars is proposed.Results. The modern approaches based on swarm intelligence algorithms to problem solving in educational data analysis are investigated. The various approaches to pheromones updating (their evaporation) when building the optimal learning path based on students’ performance data and search of group with “similar" students are studied; the abilities of the hybrid swarm intelligence algorithms for recommendation construction are investigated.Based on the modification of ant algorithm, the approach to the learning content organization at project seminars with individual preferences and students’ level of basic knowledge is proposed. The python classes are developed: the class for statistical data processing; the classfor modifica -tion of ant algorithm, taking into account the current level of knowledge and interest of student in studying a specific topic at the project seminar; the class for optimal sequence of the project seminars ’ topics for students. The developed classes allow creating the adaptive system that helps first year students with a choice of topics of project seminars.Conclusion. According to the results of the study, we can conclude about the effectiveness of swarm intelligence algorithms usage to solve a wide range of tasks connected with learning content and students’ data analysis in the e-learning systems and perspectives to hybrid approaches development based on swarm intelligence algorithms for realizing the adaptive learning systems on the paradigm of “demand learning".The results can be used to automate the organization of learning content during project seminars for the first-year students, when it is important to understand the basic level of knowledge and students’ interest in learning new technologies.

scholarly journals Role of Undergraduate Medical Students in Designing Teaching Module in Anatomy for Effective Learning

2021 ◽  
Vol 10 (10) ◽  
pp. 729-734
Author(s):  
Preeti Prabhakarrao Thute ◽  
Sunita Jayant Vagha
Keyword(s):  
Data Analysis ◽  
Medical Students ◽  
First Year ◽  
Undergraduate Medical Students ◽  
Interventional Study ◽  
Learning Resource ◽  
Effective Learning ◽  
Teaching Module ◽  
Teaching Learning

BACKGROUND The importance of the students in the development of the medical curriculum has been very well known. The valuable perspective and insight of the medical students is very essential in the development of new student-centred teaching modules with student friendly methodology, tools and learning resource materials to increase students’ interest improving their understanding and competence in anatomy and eventually create better doctors and for better patient outcomes. In view of this, an interventional study was carried out to study the role of undergraduate medical students in designing teaching module in anatomy for effective learning. METHODS An interventional study was carried out from October 2019 to March 2020 in the Department of Anatomy, Jawaharlal Nehru Medical College Sawangi (Meghe), Wardha. 230 first MBBS students and 50 students i.e., 25 students from each 2nd MBBS and 3rd MBBS participated voluntarily. A routine didactic lecture was conducted for first year MBBS students. Perception was taken with the structured proforma (using Likert scale) from all the students and data analysis was done. A panel was formed with 50 volunteered students from 2nd MBBS and 3rd MBBS who were given responsibility to form module (instructions for the teacher). Then lecture was again conducted for the first year MBBS students incorporating the instructions from the module framed after considering input from data analysis of perception of first MBBS students and from panel of second MBBS and third MBBS students. The data was analysed statistically, using descriptive and inferential statistics using chisquare test. Software used in the analysis were Statistical Package for the Social Sciences (SPSS) 24.0 version and GraphPad Prism 7.0 version. RESULTS After data analysis, it was observed that after implementation of instructions from module there was improvement in all parameters of teaching learning methodology, tools used and learning resource material. The difference was statistically significant. CONCLUSIONS It is evident from the present study that when the teaching learning methodology, teaching learning tools and learning resource materials are designed considering the inputs from the techno savvy students, it is accepted and beneficial for effective learning while still keeping a tinge of the traditional methodology. KEY WORDS Challenges, Criticism, Inputs, Teaching Learning Methodology

scholarly journals Getting Closer to the Needs of the Labour Market

2021 ◽  
Vol 1 (1) ◽  
pp. 37-49
Author(s):  
Zsuzsanna Tóth ◽  
Marietta Balázsné Lendvai ◽  
Judit Beke
Keyword(s):  
Data Analysis ◽  
Pilot Study ◽  
Young People ◽  
Labour Market ◽  
Measurement System ◽  
Professional Training ◽  
Soft Skills ◽  
Market Value ◽  
First Year ◽  
Training Cycle

A key measure of higher education’s success is the extent to which it can provide the labour market with graduates that excel not only in terms of their professional training but also in terms of their soft skills. To that end, the competences of students entering university must first be diagnosed. This paper presents a pilot study of such a measurement system, together with first-year results obtained by a rural university faculty. Equipped with better information about its freshman students, such a university can begin to address the revealed competence deficiencies actively, and, over the course of an entire training cycle, further improve the labour market value of the young people when they come to graduate. Provisional recommendations are made at the end of this paper; however, further data analysis, once undertaken, may lend further support to the practical approach outlined here.

scholarly journals Implanted satellite transmitters affect sea duck movement patterns at short and long timescales

The Condor ◽  
2020 ◽  
Vol 122 (3) ◽  
Author(s):  
Juliet S Lamb ◽  
Peter W C Paton ◽  
Jason E Osenkowski ◽  
Shannon S Badzinski ◽  
Alicia M Berlin ◽  
...  
Keyword(s):  
Breeding Site ◽  
Behavioral Changes ◽  
First Year ◽  
Behavioral Patterns ◽  
Telemetry Data ◽  
Short Term ◽  
Satellite Transmitters ◽  
Males And Females ◽  
Long Timescales

Abstract Studies of the effects of transmitters on wildlife often focus on survival. However, sublethal behavioral changes resulting from radio-marking have the potential to affect inferences from telemetry data and may vary based on individual and environmental characteristics. We used a long-term, multi-species tracking study of sea ducks to assess behavioral patterns at multiple temporal scales following implantation of intracoelomic satellite transmitters. We applied state-space models to assess short-term behavioral patterns in 476 individuals with implanted satellite transmitters, as well as comparing breeding site attendance and migratory phenology across multiple years after capture. In the short term, our results suggest an increase in dispersive behavior immediately following capture and transmitter implantation; however, behavior returned to seasonally average patterns within ~5 days after release. Over multiple years, we found that breeding site attendance by both males and females was depressed during the first breeding season after radio-marking relative to subsequent years, with larger relative decreases in breeding site attendance among males than females. We also found that spring and breeding migrations occurred later in the first year after radio-marking than in subsequent years. Across all behavioral effects, the severity of behavioral change often varied by species, sex, age, and capture season. We conclude that, although individuals appear to adjust relatively quickly (i.e. within 1 week) to implanted satellite transmitters, changes in breeding phenology may occur over the longer term and should be considered when analyzing and reporting telemetry data.

scholarly journals Development of Nomophobia Profiles in Education Students through the Use of Multiple Correspondence Analysis

2020 ◽  
Vol 17 (21) ◽  
pp. 8252
Author(s):  
Clemente Rodríguez-Sabiote ◽  
José Álvarez-Rodríguez ◽  
Daniel Álvarez-Ferrandiz ◽  
Felix Zurita-Ortega
Keyword(s):  
Data Analysis ◽  
Quantitative Data ◽  
Ad Hoc ◽  
Multiple Correspondence Analysis ◽  
First Year ◽  
Education Students ◽  
Student Profile ◽  
The Third ◽  
Quantitative Data Analysis ◽  
Second Year

(1) Background: Nomophobia is a recent behavioural addiction phenomenon. The present study proposes the objective of determining levels of nomophobia in students of Education. In addition, it seeks to find evidence regarding whether cross-tabulating variables produces statistically significant differences and to examine whether the contemplated variables, together with nomophobia levels, can be used to generate a student profile. (2) Methods: A total of 510 students (M = 20.69 years) participated in this study. For the collection of information, we developed a Likert-type ad hoc scale of nomophobia. The quantitative data analysis programmes SPSS v.25 (IBM, Armonk, NY, USA), STATA.v.15 (StatCorp, Spring, TX, USA) and jamovi v.1.2 (The jamovi project, Sidney, Australia) were used to analyse information collected by the previously described scale. (3) Results: The study concludes the existence of three main levels of correspondence. The first is formed by students with a low level of nomophobia. It is associated with students undertaking the first year of a Master’s degree who are older than 24, and in this case, gender does not play a discriminating role. The second describes students with moderate nomophobia. It is associated with females, the degree titles of Pedagogy and Primary Education, undertaking the first or second year of degree study and ages of between 21 and 24. Finally, the third level of correspondence is formed by students with high nomophobia. It is related to the same characteristics as those previously mentioned but ages typically ranging between 17 and 20.

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