scholarly journals BUILDING STUDENT RESUME USING THE EPORTFOLIO APPROACH

2021 ◽  
Vol 6 (5) ◽  
Author(s):  
Hanae Mgarbi ◽  
Mohamed Yassin CHKOURI ◽  
Abderrahim Tahiri
Keyword(s):  
Research Work ◽  
Collective Learning ◽  
Learning Approach ◽  
Digital Form ◽  
Professional Integration ◽  
Professional Career ◽  
Academic Achievements ◽  
Paper Form ◽  
Portfolio Approach ◽  
The Web

Before the development of the web, we talk about the portfolio; it was represented by a simple portfolio of student skills in paper form. This form of representation of skills and professional career has continued to develop over the years. After a succession of several stages in the concept of the portfolio, this simple paper form was transformed into a digital form called an e-portfolio [1, 5], which is centered on the personal and collective learning dynamics throughout the life of the student [10]. The resume is the first door to professional integration [7]. But the paper resume remains a document too linear and has not adapted to the complexity of current modes and channels of communication. The objective of our research work is the building resume student using the e-portfolio approach, allowing students to build and improve academic and extra-academic achievements while being part of a lifelong learning approach, to develop their digital identity and visibility by capitalizing on training achievements and skills obtained.

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

scholarly journals Evaluation of midwifery students’ learning approaches to the compulsory biochemistry course

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Funda Kosova ◽  
Nurcan Çelik ◽  
Hanife Nurseven Şimşek ◽  
Seval Cambaz Ulaş
Keyword(s):  
Cross Sectional Study ◽  
Health Science ◽  
Learning Approach ◽  
Learning Approaches ◽  
Deep Approach ◽  
Cross Sectional ◽  
Professional Career ◽  
Motivation For Learning ◽  
Package Program ◽  
Research Population

AbstractObjectivesLearning approach in a certain learning process is based on the student’s intentions, behaviors, and habits according to his/her perceptions of the task of learning and determines the amount and quality of learning. The objective of this study is to evaluate the learning approaches of 1st and 4th grade midwifery students to biochemistry course and the change, if there is any, through their education.MethodsThis is an observational, cross-sectional study. The research population consisted of the voluntary students (86.47%, n:147) of the 2017–2018 season of the 1st and 4th class of Manisa Celal Bayar University, Health Science Faculty, Midwifery Department (n:170). Data were collected by using the “Introductory Information Form” and the “Learning Approach Scale”, and evaluated in the SPSS package program by performing number, percentile, mean, standard deviation, independent t test.ResultsThe mean age of the students was 20.82 ± 1.81. Over 95% of the students stated that biochemistry lesson was necessary, while 59.9% reported that their biochemistry knowledge was insufficient. Over 87% of the student expressed their belief that the content of the biochemistry classes will help them in their professional career. Mean score of deep approach for Learning Approach Scale was 34.13 ± 6.07 (Min:19.00–Max:50.00), and mean score of superficial approach for Learning Approach Scale was 26.94 ± 6.37 (Min:15.00–Max:50.00). There was a significant relation between deep approach scale score and the perception of high importance of biochemistry in the professional life (p<0.05).ConclusionsMidwifery students, who believe that biochemistry is necessary for their professional career have a higher motivation for learning biochemistry, thus perform a deeper approach to learning. In general, creating effective and dynamic educational environments that support deep learning is necessary for enhancing the learning of biochemistry.

A Supervised Learning Approach to Protect Client Authentication on the Web

2015 ◽  
Vol 9 (3) ◽  
pp. 1-30 ◽  
Author(s):  
Stefano Calzavara ◽  
Gabriele Tolomei ◽  
Andrea Casini ◽  
Michele Bugliesi ◽  
Salvatore Orlando
Keyword(s):  
Supervised Learning ◽  
Learning Approach ◽  
The Web

scholarly journals Contribution to the knowledge of early geotechnics during the twentieth century: Ralph Peck

2019 ◽  
Vol 10 (1) ◽  
pp. 3-15
Author(s):  
Antonio Lara-Galera ◽  
Rubén Galindo-Aires ◽  
Gonzalo Guillán-Llorente
Keyword(s):  
Twentieth Century ◽  
Civil Engineering ◽  
Soil Mechanics ◽  
Research Work ◽  
Rensselaer Polytechnic Institute ◽  
The United States ◽  
Professional Advice ◽  
Professional Career ◽  
Structural Engineer ◽  
Important People

Abstract. Ralph B. Peck (1912–2008), graduate and doctor of philosophy in civil engineering (1934 and 1937 respectively) from the Rensselaer Polytechnic Institute, was one of the major contributors to the development of geotechnics in the twentieth century. Born in Winnipeg (Manitoba) as an American national, he was influenced from childhood by the world of civil engineering through his father, Orwin K. Peck, who was a civil engineer, mainly as a structural engineer in the railway sector. In the absence of job offers as a structural engineer, Ralph Peck arrived at Harvard University in 1938 to attend the soil mechanics courses taught by Arthur Casagrande, which guided Peck's professional career towards geotechnics. In addition to Casagrande, Peck had the opportunity to meet and work with other very important people related to geotechnics: Albert E. Cummings, Laurits Bjerrum, Alec W. Skempton and especially Karl Terzaghi, with whom he established a great friendship, in addition to providing support, professional advice and performing important work, such as the Chicago Subway Works. Peck actively dedicated himself to consulting work, which led him to visit 44 states within the United States and 28 countries on five continents. In addition, he also participated in research work where he was asked and was a committed lecturer at the University of Illinois, where he was a professor for 32 years. The objective of this paper is to analyse, through Peck's biography, his contribution to the field of geotechnics based on his research, teaching and consultancy work, and through the influence of Peck on other important people in the field, such as Karl Terzaghi.

Early Mapping of “Electronic Hive Minds” on the Web and Internet

2019 ◽  
pp. 1-28
Keyword(s):  
Social Psychology ◽  
Social Media ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Research Work ◽  
Social Consciousness ◽  
Information And Communication ◽  
Mapping Techniques ◽  
The Web

An “electronic hive mind” (EHM) is conceptualized as a type of temporally limited social consciousness (held by people, cyborgs, and robots) around shared interests, enabled by social media and information and communication technology (ICT). EHMs may be understood partially through combined prior research in the areas of social psychology and social media. Other research work is novel and requires the application of a range of methods and technologies to identify EHMs from publicly available social media residual data in various digital modalities. To this end, some initial mapping techniques to understand EHMs will be shown in this chapter.

OLnet

2010 ◽  
pp. 123-144 ◽  
Author(s):  
Gráinne Conole ◽  
Patrick McAndrew
Keyword(s):  
Web 2.0 ◽  
Social Networking ◽  
Research Work ◽  
User Participation ◽  
Open Educational Resources ◽  
Face To Face ◽  
Research Activities ◽  
Form Part ◽  
Networking Tool ◽  
The Web

The web 2.0 practices of user participation and experimentation have created models for social networking that influence the way people communicate and interact online. This chapter describes an initiative, OLnet, that is creating a technical environment based on web 2.0 principles to support the sharing of experiences around the design and use of Open Educational Resources (OER) in order to facilitate closer links between researchers and users. The aim is to combine online functionality, face-to-face events and research activities so that research outputs can inform users and users can help steer future areas for research work. This chapter sets out the challenges and background that have motivated OLnet before looking at two of the tools that form part of the initial OLnet technical infrastructure; a tool for visualising OER designs – CompendiumLD, and a social networking tool for exchange of ideas – Cloudworks.

Telugu News Data Classification Using Machine Learning Approach

2022 ◽  
pp. 181-194
Author(s):  
Bala Krishna Priya G. ◽  
Jabeen Sultana ◽  
Usha Rani M.
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Research Work ◽  
Learning Approach ◽  
Fake News ◽  
Learning Models ◽  
Machine Learning Classifiers ◽  
Proposed Model ◽  
Machine Learning Approach ◽  
Machine Learning Models

Mining Telugu news data and categorizing based on public sentiments is quite important since a lot of fake news emerged with rise of social media. Identifying whether news text is positive, negative, or neutral and later classifying the data in which areas they fall like business, editorial, entertainment, nation, and sports is included throughout this research work. This research work proposes an efficient model by adopting machine learning classifiers to perform classification on Telugu news data. The results obtained by various machine-learning models are compared, and an efficient model is found, and it is observed that the proposed model outperformed with reference to accuracy, precision, recall, and F1-score.

Processes of Socialization to Sexuality and Discrimination in the Web Society

2022 ◽  
pp. 820-839
Author(s):  
Marianna Coppola
Keyword(s):  
Social Media ◽  
New Media ◽  
Research Work ◽  
Online Communication ◽  
Transgender People ◽  
Dating Apps ◽  
Wide Range ◽  
New Knowledge ◽  
Lgbt Community ◽  
The Web

The diffusion of new media, of online communication, and the increasingly evident overlap between online and offline environments generates a specific question for scientific research on how these contents can represent an opportunity for “emancipation” and at the same time new areas in which can experience processes of exclusion, in particular for the LGBT community. In this sense, social media offers transgender people a wide range of tools and applications to create new knowledge, interact with other people, create new meeting opportunities, or trace new relationships and/or new emotional and sexual experiences. This research work aims to investigate the psychological, relational, and social aspects of transgender people who use social media and dating apps as communication spaces and relational environments in order to outline the peculiar aspects of media consumption, regulatory access and processes of stigmatization, and social discriminations by the web.

scholarly journals Using Blended Learning Approach (BLA) in Inclusive Education Course: A Study Investigating Teacher Students’ Perception

2020 ◽  
Vol 15 (02) ◽  
pp. 72 ◽  
Author(s):  
Rasmitadila Rasmitadila ◽  
Widyasari Widyasari ◽  
Megan Asri Humaira ◽  
Anna Riana Suryanti Tambunan ◽  
Reza Rachmadtullah ◽  
...  
Keyword(s):  
Blended Learning ◽  
Student Perceptions ◽  
Inclusive Education ◽  
Learning Approach ◽  
Positive Perception ◽  
Context Analysis ◽  
Analysis Techniques ◽  
Teacher Students ◽  
Learning Interest ◽  
The Web

The purpose of this research is to explore the students’ perception about the implementation of blended learning approach (BLA) in inclusive education course. Thirty (30) students participated in this research. The data collection was done by open interview to know students’ perception about the implementation of blended learning. The interview results were analyzed using context analysis techniques. Based on the data analysis, there are four catego-ries of students' attention, namely: display of learning management system (LMS); accessibility; the benefits and sustainability. Student perceptions of each category are: the LMS display on the web of 50.53% is appropriate and simple, but must be modified to make it easier for students to understand. The negative perception about accessibility of 69.57% indicates that internet access to the web is still unstable and slow. Positive perception about BLA benefit of 66.94% indicates good benefits to students especially in terms of adding learn-ing experiences, knowledge, variations of learning models and learning more flexible and independent. A positive perception of BLA sustainability of 66.18% indicates should be continued because it can increase students' learning interest, learn more modern, flexible and independent.

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