Documentos en Scopus que analizan a Ceibal
Este capítulo analiza 36 documentos que hablan de Ceibal encontrados el 9 de abril de 2024 en Scopus. El análisis se realiza de manera comparada usando técnicas de procesamiento de lenguaje natural (PLN).
--------------------------------------------------
topic beta words
------- ---------- -------------------------------
1 0.01866 internet
1 0.01837 uruguay
1 0.01799 ceibal
1 0.01669 teaching
1 0.01431 public
1 0.01431 analysis
1 0.01192 plan, device, management,
infrastructure, teachers
2 0.02482 digital, de
2 0.02128 information
2 0.01773 uruguay
2 0.01418 library, public, en
2 0.01064 ceibal, plan, education,
access, school, article, el,
una, tools, analyze
3 0.03133 ceibal
3 0.02872 plan
3 0.01828 income
3 0.01567 household
3 0.01305 program, project, technology,
access, teacher, households,
paper
4 0.01695 project, ceibal, system,
laptop
4 0.01412 laptops, plan, uruguay
4 0.0113 network, education, learning,
infrastructure, schools,
distributed, xo
5 0.03347 project
5 0.02434 network
5 0.0213 laptops
5 0.01826 mobility
5 0.01521 ruca
5 0.01356 ceibal
5 0.01217 characteristics,
infrastructure, deployment,
paper, wireless
6 0.03544 digital
6 0.03038 program
6 0.02278 information
6 0.02025 ceibal, plan
6 0.01772 education, child
6 0.01519 children
6 0.01266 uruguay, uruguayan
7 0.02158 technology
7 0.01918 ceibal, plan, learning,
students
7 0.01439 mooc
7 0.01199 uruguay
7 0.009592 education, access, analysis,
educational, support,
developed, student
8 0.03401 education
8 0.02721 technology, public,
technological
8 0.02041 internet, study, scenarios,
challenges, future, traffic
9 0.02866 information, plan
9 0.02548 ceibal
9 0.01592 literacy, research
9 0.01274 education, experiment,
teachers, facilities, school,
public, 1
10 0.02902 teaching
10 0.02111 results
10 0.01583 ceibal, plan, teachers
10 0.01319 program, school, study,
uruguay, research
--------------------------------------------------
Document-feature matrix of: 36 documents, 1,186 features (92.92% sparse) and 4 docvars.
features
docs paper present two recent inform literaci access initi uruguay necessari
text1 2 2 1 1 6 1 2 1 4 1
text2 0 1 2 0 1 0 2 0 0 0
text3 0 0 0 0 0 0 0 0 1 0
text4 1 1 0 0 1 0 0 1 1 0
text5 0 0 0 0 2 0 0 1 2 0
text6 3 0 0 0 0 0 0 0 1 0
[ reached max_ndoc ... 30 more documents, reached max_nfeat ... 1,176 more features ] ceibal plan educ use technolog uruguay school laptop
65 60 55 51 45 44 43 42
teacher program
37 35 ceibal uruguay © plan educ use school public
34 31 31 29 26 25 21 20
result technolog laptop teacher studi develop paper
19 19 18 17 17 16 15 educativo
1
176
1
study’
1
worth
1
mention
1
low-frequ
1
foster
1
boost
1
prescript
1
modestum
1
creativ
1
common
1
attribut
1
licens
1
http://creativecommons.org/licenses/by/4.0/
1 [1] 36[1] 160# If you want to convert the frequency count to a proportion within documents, use dfm_weight(scheme = "prop").
#dfmat_prop <- dfm_weight(dtm, scheme = "prop")
#print(dfmat_prop)[1] 1552 ceibal plan uruguay education information public
63 57 42 34 33 32
© results digital project
31 28 27 27 [1] 59 59Feature co-occurrence matrix of: 6 by 59 features.
features
features paper information literacy access uruguay digital context public
paper 5 25 7 11 23 8 4 23
information 0 60 55 23 43 30 10 49
literacy 0 0 9 2 8 9 2 16
access 0 0 0 11 20 42 7 20
uruguay 0 0 0 0 15 33 14 47
digital 0 0 0 0 0 45 13 23
features
features national school
paper 6 18
information 13 27
literacy 1 7
access 9 11
uruguay 18 34
digital 14 10
[ reached max_nfeat ... 49 more features ]
# A tibble: 1,542 × 2
word n
<chr> <int>
1 ceibal 63
2 plan 58
3 uruguay 43
4 education 34
5 information 33
6 public 32
7 results 28
8 technology 28
9 digital 27
10 program 27
# ℹ 1,532 more rows# A tibble: 6,786 × 2
word sentiment
<chr> <chr>
1 2-faces negative
2 abnormal negative
3 abolish negative
4 abominable negative
5 abominably negative
6 abominate negative
7 abomination negative
8 abort negative
9 aborted negative
10 aborts negative
# ℹ 6,776 more rows
El más negativo es el de
DEMOS MobilityLe sigue el de
Media Education in Uruguay,Luego empatados están
Anti-theft**el de Fiorella !!,Discourse, educational policy and technology, ySM4T.Con 0 está el doc de
Evaluation of deployment alternatives...y el deThinking the Plan Ceibal from the perspective of...El más positivo es el de
Strategies for...seguido por
In what do mathematics teaching practices change...y por
Facilitating change in primary education
Tf-idf
Podemos determinar qué palabras son las más exclusivas para cada libro/documento de nuestro corpus calculando la puntuación tf-idf (frecuencia de término-frecuencia de documento inversa) para cada término. El tf-idf es el cociente de la frecuencia del término y la frecuencia del término en el documento: \(\frac{tf}{idf}\), donde \(\text{tf}=\frac{n_\text{palabra}}{n_\text{total palabras en doc}}\), y donde \(\text{idf}=\frac{n_\text{{docs}}}{n_\text{docs que tienen la palabra}}\).
#dat_udhr <- readtext(paste0(path_data, “/pdf/UDHR/*.pdf”), docvarsfrom = “filenames”, docvarnames = c(“document”, “language”), sep = “_“)
to check encoding
filename <- gsub(“.txt$”, ““, filename) encoding <- sapply(strsplit(filename,”_“),”[“, 3) head(encoding)
[1] "Authors" "Author.full.names" "Author.s..ID"
[4] "Title" "Year" "Source.title"
[7] "Volume" "Issue" "Art..No."
[10] "Page.start" "Page.end" "Page.count"
[13] "Cited.by" "DOI" "Link"
[16] "Abstract" "Author.Keywords" "Index.Keywords"
[19] "Document.Type" "Publication.Stage" "Open.Access"
[22] "Source" "EID" Corpus consisting of 36 documents and 22 docvars.
text1 :
"In this paper we present two recent information literacy and..."
text2 :
"This work presents the main results from installing Internet..."
text3 :
"Remote teaching has been used successfully with the evolutio..."
text4 :
"Uruguay has a countrywide implementation of the One Laptop p..."
text5 :
"In 2007, Uruguay implemented the Basic Computer Education Co..."
text6 :
"This paper describes the RUCA project, the work done on its ..."
[ reached max_ndoc ... 30 more documents ]Corpus consisting of 36 documents, showing 5 documents:
Text Types Tokens Sentences
text1 129 232 6
text2 85 127 6
text3 91 134 6
text4 181 314 10
text5 115 189 8
Authors
Capurro R.; Rodríguez Fleitas M.
Schinca I.; Amigo I.
Ríos B.; Martínez E.; Silvera D.; Cancela P.; Capdehourat G.
Giachino M.; Baliosian J.; Grampín E.; Visca J.
De María N.; Bartesaghi I.
Author.full.names
Capurro, Rafael (6506546454); Rodríguez Fleitas, Maximiliano (57194097555)
Schinca, Ismael (36069709600); Amigo, Isabel (57207346397)
Ríos, Braulio (58744822400); Martínez, Emilio (58744822500); Silvera, Diego (58745658700); Cancela, Pablo (6508290965); Capdehourat, Germán (36866112000)
Giachino, Martín (24469759400); Baliosian, Javier (16303003000); Grampín, Eduardo (13907694500); Visca, Jorge (24470298400)
De María, Natalia (58645421400); Bartesaghi, Ignacio (57188934712)
Author.s..ID
6506546454; 57194097555
36069709600; 57207346397
58744822400; 58744822500; 58745658700; 6508290965; 36866112000
24469759400; 16303003000; 13907694500; 24470298400
58645421400; 57188934712
Title
Let the Orientales be as enlightened as they are brave
Using renewable energy to include off-grid rural schools into the national equity project plan ceibal
Teaching Practices Analysis Through Audio Signal Processing
DEMOS mobility model
Digital gap and education: one computer per child in Uruguay; [Brecha digital y educación: una computadora por niño en Uruguay]
Year
2017
2010
2024
2010
2023
Source.title
Education for Information
2010 International Conference on Biosciences, BioSciencesWorld 2010
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Proceedings - 6th International Conference on Wireless and Mobile Communications, ICWMC 2010
Brazilian Journal of International Law
Volume Issue Art..No. Page.start Page.end Page.count Cited.by
33 1 3 21 18 0
5445558 130 134 4 3
14469 LNCS 133 147 14 0
5629057 177 184 7 2
20 119 134 15 0
DOI
10.3233/EFI-170984
10.1109/BioSciencesWorld.2010.23
10.1007/978-3-031-49018-7_10
10.1109/ICWMC.2010.29
10.5102/rdi.v20i2.9116
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018697931&doi=10.3233%2fEFI-170984&partnerID=40&md5=2d4112846d7b928433802700fe312528
https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952604925&doi=10.1109%2fBioSciencesWorld.2010.23&partnerID=40&md5=299fcc6bf31ed9e8b4869d95da3cee87
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178605027&doi=10.1007%2f978-3-031-49018-7_10&partnerID=40&md5=398cc541f2ee55cf90da68108bc53972
https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952064376&doi=10.1109%2fICWMC.2010.29&partnerID=40&md5=5ec7b397269839032aec9aeb57c83169
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179099119&doi=10.5102%2frdi.v20i2.9116&partnerID=40&md5=700458bc36432315c4f538b639b16611
Author.Keywords
Biblioteca Nuevo Roble; digital divide; information ethics; phenomenology; Philosophy of information; Plan Ceibal; public schools; school library; Uruguay
Ceibal; Connectivity; Off-grid; Photovoltaic system
audio signal processing; classroom activity detection; diarization; education; teaching analysis
Mobility model; Network simulator; OLPC; Opportunistic networks
digital divide; digitalization; education; innovation; Negroponte; Plan Ceibal; Uruguay
Index.Keywords
History; Libraries; Philosophical aspects; School buildings; Biblioteca Nuevo Roble; Digital divide; Information ethics; phenomenology; Philosophy of information; Plan Ceibal; Public schools; School libraries; Uruguay; Digital libraries
Installation; Laptop computers; Photovoltaic cells; Photovoltaic effects; Renewable energy resources; Charging mechanism; Educational improvement; Hole systems; Internet access; Main characteristics; Off-grids; Photovoltaic energy; Photovoltaic systems; Project plans; Public schools; Renewable energies; Societies and institutions
High level languages; Speech communication; Activity detection; Broadband Internet; Classroom activity; Classroom activity detection; Diarization; Educational program; Remote teaching; Teaching analyse; Teaching practices; Uruguay; Audio signal processing
Mobile telecommunication systems; Real variables; Sensor networks; Simulators; Wireless sensor networks; Deployment characteristics; Domestic environments; Environmental information; Essential characteristic; Generator tool; Mobility areas; Mobility model; Network simulator; Network simulators; New applications; OLPC; Opportunistic networks; Opportunistic routing; Position systems; Real networks; Simulation environment; Software updates; Speed-ups; Uruguay; Laptop computers
Document.Type Publication.Stage
Article Final
Conference paper Final
Conference paper Final
Conference paper Final
Article Final
Open.Access Source
Scopus
Scopus
Scopus
Scopus
All Open Access; Bronze Open Access; Green Open Access Scopus
EID
2-s2.0-85018697931
2-s2.0-77952604925
2-s2.0-85178605027
2-s2.0-79952064376
2-s2.0-85179099119Corpus consisting of 36 documents and 22 docvars.
Capurro R.; Rodríguez Fleitas M. Let the Orientales be as enlightened as they are brave 2017 :
"In this paper we present two recent information literacy and..."
Schinca I.; Amigo I. Using renewable energy to include off-grid rural schools into the national equity project plan ceibal 2010 :
"This work presents the main results from installing Internet..."
Ríos B.; Martínez E.; Silvera D.; Cancela P.; Capdehourat G. Teaching Practices Analysis Through Audio Signal Processing 2024 :
"Remote teaching has been used successfully with the evolutio..."
Giachino M.; Baliosian J.; Grampín E.; Visca J. DEMOS mobility model 2010 :
"Uruguay has a countrywide implementation of the One Laptop p..."
De María N.; Bartesaghi I. Digital gap and education: one computer per child in Uruguay; [Brecha digital y educación: una computadora por niño en Uruguay] 2023 :
"In 2007, Uruguay implemented the Basic Computer Education Co..."
Gomes A.C.F.G.; Duarte J.L.; Balbi H.D.; Carrano R.C.; Magalhães L.C.S. RUCA: Research on challenges in ICT infrastructure for large-scale deployment of educational laptops 2009 :
"This paper describes the RUCA project, the work done on its ..."
[ reached max_ndoc ... 30 more documents ]docvars(corp_inaug, field = "Year") [1] 2017 2010 2024 2010 2023 2009 2015 2015 2023 2018 2016 2013 2022 2017 2017
[16] 2019 2014 2017 2009 2019 2022 2019 2018 2020 2021 2014 2020 2017 2015 2013
[31] 2014 2019 2018 2009 2017 2021Menciones al rol docente
kw_ceibal <- kwic(toks, pattern = "teacher*")
head(kw_ceibal, 10)Keyword-in-context with 10 matches.
[text3, 64] accuraci relev lesson metric analysi | teacher |
[text7, 34] perspect studi consist survey mathemat | teacher |
[text7, 59] pedagog intervent group sampl mathemat | teacher |
[text7, 68] support instrument along develop network | teacher |
[text7, 86] phase investig sought character math’ | teacher |
[text7, 113] compon social equiti notwithstand 68 | teacher |
[text9, 35] administr platform new pedagogi adequ | teacher |
[text10, 133] 1 can understand role s | teacher |
[text11, 18] made plan ceibal mac support | teacher |
[text11, 47] república udelar research work 20 | teacher |
talk time languag usag english
first year middl school follow
addit instanc train support instrument
design implement innov curriculum project
popul understand teach practic profession
consid littl noth chang teach
train new institut framework can
better 2 can rethink technolog
uruguay experi carri within framework
came state school western district toks_inaug <- tokens(fulltext, remove_punct = TRUE)
dfmat_inaug <- dfm(toks_inaug)
print(dfmat_inaug)Document-feature matrix of: 36 documents, 1,641 features (93.12% sparse) and 4 docvars.
features
docs in this paper we present two recent information literacy and
text1 5 1 2 3 2 1 1 6 1 9
text2 3 1 0 0 0 2 0 1 0 5
text3 5 3 0 2 0 0 0 0 0 2
text4 5 3 1 5 0 0 0 1 0 7
text5 5 0 0 0 0 0 0 2 0 4
text6 8 3 3 0 0 0 0 0 0 10
[ reached max_ndoc ... 30 more documents, reached max_nfeat ... 1,631 more features ]topfeatures(dfmat_inaug, 10) the of and in to a this is ceibal that
468 286 220 176 174 145 78 66 63 61