Uso de eduTech en educación

Análisis con PLN

Fecha de publicación

9 de abril de 2024

Fecha de modificación

22 de enero de 2025

Uso de eduTech en educación

Este capítulo analiza el uso de tecnologías digitales en educación, por medio del análisis comparado usando técnicas de procesamiento de lenguaje natural (PLN) de 680 documentos, encontrados el 9 de abril de 2024 en Scopus.

Búsqueda de edutech en educación


--------------------------------
 topic     beta        words    
------- ---------- -------------
   1     0.01356      system    

   1     0.01299     learning   

   1     0.01289       based    

   1     0.008979     design    

   1     0.008895     systems   

   1     0.007718       web     

   1     0.007348   development 

   1     0.007082     network   

   1     0.006731    analysis   

   1     0.006493    teaching   

   2     0.02332      digital   

   2     0.02243     students   

   2      0.0147       study    

   2     0.01044    technology  

   2     0.009858     school    

   2     0.009796   elementary  

   2     0.009717    education  

   2     0.009579    learning   

   2     0.00881     teachers   

   2     0.008453     results   

   3     0.01731      digital   

   3     0.01641     education  

   3     0.01625     teachers   

   3     0.01426    technology  

   3     0.01332     students   

   3     0.01227    elementary  

   3     0.01029     teaching   

   3     0.008852     school    

   3     0.008442     science   

   3     0.008184    learning   

   4     0.02116      digital   

   4      0.021      students   

   4     0.01668      school    

   4     0.01551    technology  

   4     0.01174    elementary  

   4     0.01145     learning   

   4     0.01121     literacy   

   4     0.01112     research   

   4     0.01008    information 

   4     0.009487    education  

   5     0.01932     education  

   5     0.01822      digital   

   5     0.01444      school    

   5     0.01179      schools   

   5     0.01078    elementary  

   5     0.01007       study    

   5     0.009794    children   

   5     0.008643    students   

   5     0.007974   educational 

   5     0.007632    research   

   6     0.03287     learning   

   6     0.03251     teachers   

   6     0.02347      digital   

   6     0.01569    technology  

   6     0.01475     teaching   

   6     0.01374     education  

   6      0.0115     students   

   6     0.01076    elementary  

   6     0.01073       study    

   6     0.009825     teacher   

   7     0.02109     education  

   7     0.01801      digital   

   7     0.01201     students   

   7     0.009308   elementary  

   7     0.008989   technology  

   7     0.007756      based    

   7     0.007294   development 

   7     0.007275    research   

   7     0.006939   educational 

   7     0.006768     system    

   8     0.05836     learning   

   8      0.0214     students   

   8     0.01546       based    

   8      0.0136       game     

   8     0.01287     education  

   8     0.01134      digital   

   8     0.01012    technology  

   8     0.008202    approach   

   8     0.007794   elementary  

   8     0.007285      study    

   9     0.02636     students   

   9     0.01768     learning   

   9     0.01366    technology  

   9     0.01334     education  

   9      0.0133      digital   

   9     0.01325      school    

   9     0.01051    elementary  

   9     0.009421     science   

   9     0.008232    research   

   9     0.007524      study    

  10     0.02255     students   

  10     0.02014      digital   

  10     0.01962     learning   

  10     0.01151       study    

  10      0.0106     education  

  10     0.009957     reading   

  10     0.008989     school    

  10     0.008411   technology  

  10     0.008257   elementary  

  10     0.007739      music    
--------------------------------

Document-feature matrix of: 680 documents, 7,410 features (98.70% sparse) and 4 docvars.
       features
docs    digit technolog primari educ can distract increas attent mani student
  text1     3         2       2    5   1        1       2      3    1       2
  text2     2         4       0    2   1        0       1      0    0       2
  text3     1         2       0    2   2        0       0      0    0       1
  text4     2         1       0    3   0        0       0      0    0       0
  text5     1         1       0    0   0        0       0      0    0       4
  text6     1         1       0    4   0        0       0      0    0       0
[ reached max_ndoc ... 674 more documents, reached max_nfeat ... 7,400 more features ]
     learn       educ    student        use      digit  technolog     school 
      1746       1697       1585       1509       1493       1391       1159 
   teacher      studi elementari 
      1001        858        788 
 technolog      digit elementari          ©       educ        use     school 
       603        598        592        577        575        523        487 
   student      learn      studi    develop   research    teacher     result 
       481        459        406        396        337        330        324 
     teach 
       276 
       quantiz         binari    under-estim      ict-secur           poll 
             1              1              1              1              1 
           246           knew         end-us    need-driven content-driven 
             1              1              1              1              1 
      reconsid         k12-ds        nian-sh          honor           wine 
             1              1              1              1              1 
[1] 680
[1] 1973
[1] 10594
  learning    digital   students  education technology elementary   teachers 
      1626       1457       1381       1112        868        788        777 
    school      study        use 
       763        694        598 
[1] 33 33
Feature co-occurrence matrix of: 6 by 33 features.
             features
features      digital technology education  can students educational skills
  digital        3568       1933      2534 1061     3338         951    804
  technology        0        921      1459  512     1984         754    305
  education         0          0      1553  715     2265         881    412
  can               0          0         0  229      853         309    165
  students          0          0         0    0     2516         834    650
  educational       0          0         0    0        0         396    158
             features
features      teachers research data
  digital         3300     1336 1044
  technology      1253      765  494
  education       1541      945  573
  can              594      302  133
  students        1620     1200  798
  educational      516      394  275
[ reached max_nfeat ... 23 more features ]

# A tibble: 9,676 × 2
   word           n
   <chr>      <int>
 1 learning    1715
 2 digital     1469
 3 students    1382
 4 education   1123
 5 technology   934
 6 school       805
 7 elementary   799
 8 teachers     780
 9 study        699
10 based        636
# ℹ 9,666 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