Burst Analysis of Text Document for Automatic Concept Map Creation

2014 ◽  
pp. 407-416 ◽  
Author(s):  
Wan C. Yoon ◽  
Sunhee Lee ◽  
Seulki Lee
Keyword(s):  
Concept Map ◽  
Text Document ◽  
Burst Analysis

Burst analysis for automatic concept map creation with a single document

2015 ◽  
Vol 42 (22) ◽  
pp. 8817-8829 ◽  
Author(s):  
Seulki Lee ◽  
Youkyoung Park ◽  
Wan C. Yoon
Keyword(s):  
Concept Map ◽  
Burst Analysis

Concept Mapping zum Lernen aus Texten

2008 ◽  
Vol 22 (2) ◽  
pp. 119-125 ◽  
Author(s):  
Tatjana S. Hilbert ◽  
Matthias Nückles ◽  
Alexander Renkl ◽  
Carla Minarik ◽  
Angelika Reich ◽  
...  
Keyword(s):  
Concept Mapping ◽  
Concept Map

Concept Mapping ist eine Lernstrategie, die insbesondere das bedeutungsvolle Lernen unterstützt. Ziel dieser Studie war es, den Nutzen von kognitiven und/oder metakognitiven Prompts auf den Lernerfolg beim Lernen durch Concept Mapping zu untersuchen. Die teilnehmenden Schülerinnen und Schüler (N = 112, Durchschnittsalter: 17.20 Jahre) erzielten einen signifikant besseren Lernerfolg, wenn sie durch Prompts beim Anfertigen einer Concept Map unterstützt wurden. Gemischte Prompts waren dabei im Vergleich zu nur kognitiven bzw. nur metakognitiven Prompts nicht effektiver, offensichtlich regte bereits die Verfügbarkeit von Prompts die Lernenden zu systematischerem Lernverhalten an. Als Fazit dieser Studie lässt sich festhalten, dass Prompts als Hilfestellung bei der Anwendung einer neuen Lerntechnik sehr wohl positive Effekte haben. Eine Follow-Up-Messung ohne Prompts zeigte jedoch, dass die einmalige Unterstützung durch Prompts nicht ausreichte, um die Lerntechnik weiterhin selbstständig erfolgreich anzuwenden.

PENERAPAN MODEL PEMBELAJARAN PETA KONSEP UNTUK MENINGKATKAN HASIL BELAJAR IPS SISWA KELAS VI SD NEGERI 022 JAYA MUKTI KOTA DUMAI

2018 ◽  
Vol 2 (3) ◽  
pp. 395
Author(s):  
Burhanuddin Burhanuddin
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Concept Map ◽  
Student Learning Outcomes ◽  
Learning Model ◽  
Model Concept ◽  
Student Activity ◽  
Improved Learning

This research is motivated by the learning result of Social Sciences of Grade VI SD Negeri 022 Jaya Mukti KotaDumai which is still very low. This study aims to improve the learning outcomes of Social Sciences students.From the data analysis there is an increase of both teacher activity, student activity, and student learning result,that is teacher activity at meeting 1 cycle I percentage is 65% (enough) and at meeting 2 increase to 80%(good). In the second cycle of meeting 3 it increases again to 90% (very good) and at meeting 4 increases to95% (very good). Judging from the student activity also increased from the 1st meeting of cycle I was 60%(enough) and at meeting 2 increased to 70% (good). In the second cycle of meeting 3 it increased to 85% (verygood) and at the 4th meeting to 95% (very good). Judging from student learning outcomes, the average basicscore 63 increased to 75 in the first cycle of increase 12 points later in cycle II increased to 95 in cycle II largeincrease of 20 points. From the data analysis there is an increase both from teacher activity, student activity,and student learning outcomes. It can be concluded that the Improved Learning Model concept map can improvethe learning outcomes of IPS students of class VI SD Negeri 022 Jaya Mukti Kota Dumai.

An Improved B-hill Climbing Optimization Technique for Solving the Text Documents Clustering Problem

2020 ◽  
Vol 16 (4) ◽  
pp. 296-306 ◽  
Author(s):  
Laith Mohammad Abualigah ◽  
Essam Said Hanandeh ◽  
Ahamad Tajudin Khader ◽  
Mohammed Abdallh Otair ◽  
Shishir Kumar Shandilya
Keyword(s):  
Optimization Technique ◽  
Document Clustering ◽  
Text Clustering ◽  
Hill Climbing ◽  
Text Documents ◽  
Clustering Problem ◽  
Text Document ◽  
Text Information ◽  
Amount Of Knowledge ◽  
The Hill

Background: Considering the increasing volume of text document information on Internet pages, dealing with such a tremendous amount of knowledge becomes totally complex due to its large size. Text clustering is a common optimization problem used to manage a large amount of text information into a subset of comparable and coherent clusters. Aims: This paper presents a novel local clustering technique, namely, β-hill climbing, to solve the problem of the text document clustering through modeling the β-hill climbing technique for partitioning the similar documents into the same cluster. Methods: The β parameter is the primary innovation in β-hill climbing technique. It has been introduced in order to perform a balance between local and global search. Local search methods are successfully applied to solve the problem of the text document clustering such as; k-medoid and kmean techniques. Results: Experiments were conducted on eight benchmark standard text datasets with different characteristics taken from the Laboratory of Computational Intelligence (LABIC). The results proved that the proposed β-hill climbing achieved better results in comparison with the original hill climbing technique in solving the text clustering problem. Conclusion: The performance of the text clustering is useful by adding the β operator to the hill climbing.

scholarly journals Nurses’ hemovigilance knowledge and performance after teach-back, concept map, and lecture: A quasi-experimental study

Heliyon ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e05982
Author(s):  
Daryadokht Masror Roudsari ◽  
Shahoo Feizi ◽  
Mahtab Maghsudlu
Keyword(s):  
Experimental Study ◽  
Concept Map ◽  
Quasi Experimental ◽  
And Performance

scholarly journals Trends and developments in oral health literacy: a scientometric research study (1991–2020)

BDJ Open ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yue Sun ◽  
Chunying Li ◽  
Yan Zhao ◽  
Jing Sun
Keyword(s):  
Oral Health ◽  
Health Literacy ◽  
Dental Health ◽  
Oral Health Literacy ◽  
Knowledge Questionnaire ◽  
Bibliographic Records ◽  
Burst Intensity ◽  
The Usa ◽  
Burst Analysis ◽  
Number Of Publications

Abstract Objective This study aimed to establish the current situation, intellectual base, hotspots, development trends, and frontiers of oral health literacy (OHL) from the literature. Methods We analyzed 1505 bibliographic records dated between January 1990 and December 2020 retrieved from the Web of Science Core Collection and the Scopus database. We used CiteSpace for word frequency analysis, co-occurrence analysis, co-citation analysis, clustering analysis, and burst analysis. Results The total number of publications increased year-on-year, with the majority of publications coming from the USA. Most studies focused on the relationship between (oral) health literacy and oral health, and the development of OHL instruments. The top 10 keywords by frequency were “health literacy”, “oral health”, “attitude to health”, “dental caries”, “adult”, “children”, “dental care”, “knowledge”, “questionnaire”, and “adolescent”. The keyword with the highest burst intensity was “dental health education”. Conclusions OHL research is a thriving field. The field is focused on the development of an OHL instrument and health promotion practice. Strategic cooperation among countries, institutions, authors, hospitals, and communities will be important to encourage further OHL research and address oral health problems.

Effect of Digital Learning Using Augmented Reality with Multidimensional Concept Map in Elementary Science Course

2021 ◽  
Author(s):  
Yin-Yu Chou ◽  
Pei-Fen Wu ◽  
Chun-Yen Huang ◽  
Shan-Hsi Chang ◽  
Hwa-Shan Huang ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Elementary Science ◽  
Concept Map ◽  
Digital Learning ◽  
Multidimensional Concept
Sign in / Sign up

Export Citation Format

Share Document