Pantallas Digitales Interactivas
Este capítulo analiza el uso de pantallas digitales interactivas (smartboards) en educación primaria, por medio del análisis comparado usando técnicas de procesamiento de lenguaje natural (PLN) de 11 documentos, encontrados el 9 de abril de 2024 en Scopus.
Búsqueda en Scopus de artículos sobre smartboards en educación primaria
De la lectura de los resúmenes, algunas frases sobresalen:
The findings revealed that science teachers were more likely to use hardware than software; more specifically, this included instructional tools (i.e., SMARTboards, clickers) and laboratory tools (probeware). Differences in teachers’ use of tools were largely due to differences in tools as opposed to differences in teacher characteristics.
It can be argued that the positive attitudes of teachers towards technology had a positive effect on using technology in lessons.
The classroom of the future, based on idea of design thinking lab, equipped with the most modern solutions of Virtual and Augmented Reality (VR, AR), interactive detachable workstations, shareable smartboards and interactive video display walls, seems to be the passport to success in the digital world.1 @ref-Tarabasz-2018
ICT uptake faces barriers of costs, teacher training, and unequal access. This study focuses on key technologies - Internet, computers, multimedia, and smartboards- analyzing their potential to enable collaborative, engaging, and personalized learning. It also examines challenges like distraction, costs, and teacher issues.@ref-Koshti-2023
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topic beta words
------- --------- -------------------------------
1 0.0375 future
1 0.01875 education, article, digital,
skills
1 0.0125 technology, technologies,
based, design, business,
challenges, classroom,
entrepreneurs, experience,
graduates, interactive,
managers, market, required,
solutions, success,
transformation
2 0.04396 learning
2 0.03022 technologies
2 0.01923 technology
2 0.01648 personalized
2 0.01374 mobile
2 0.01099 experiences, education,
devices, tablets, projects,
smartboards, knowledge,
communication, information
3 0.02755 learning
3 0.02479 education
3 0.02204 activities, students
3 0.01928 activity
3 0.01653 ict, study
3 0.01377 school, teacher, smartboards,
student
4 0.05215 teachers
4 0.04601 technology
4 0.03374 science
4 0.02454 instructional, technologies
4 0.02147 attitudes
4 0.0184 tools
4 0.01534 lessons, education, study
5 0.03614 app
5 0.03012 students
5 0.0241 mobile
5 0.01807 application, development,
project
5 0.01205 education, applications,
biology, developed, issues,
platform, professor, serve,
stem
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Document-feature matrix of: 11 documents, 671 features (85.26% sparse) and 4 docvars.
features
docs studi contribut understand factor serv predictor scienc teacher select
text1 1 1 1 1 1 1 7 7 3
text2 3 0 0 1 0 0 0 7 0
text3 1 0 0 0 0 0 4 5 1
text4 1 0 1 0 0 0 0 0 0
text5 1 0 0 0 3 0 1 0 0
text6 0 0 0 0 0 0 0 0 0
features
docs use
text1 5
text2 16
text3 7
text4 2
text5 1
text6 1
[ reached max_ndoc ... 5 more documents, reached max_nfeat ... 661 more features ]technolog use teacher educ learn student studi differ
49 40 29 26 26 24 17 16
activ school
16 15 smartboard studi use technolog educ © classroom
11 10 10 10 10 10 8
differ school student teacher learn develop tool
7 7 7 6 6 5 5
includ
5 uptak cost unequ internet multimedia
1 1 1 1 1
collabor distract tradit technology-en impact
1 1 1 1 1
overal benefit deliveri 2023 ieee
1 1 1 1 1 [1] 11[1] 23[1] 824 learning technologies education technology teachers use
26 23 23 23 20 18
students study smartboards science
17 15 14 13 [1] 53 53Feature co-occurrence matrix of: 6 by 53 features.
features
features study science teachers use technologies different model school
study 9 15 40 35 22 18 13 6
science 0 27 58 39 38 9 7 11
teachers 0 0 44 81 40 15 5 17
use 0 0 0 25 24 14 4 18
technologies 0 0 0 0 35 20 10 15
different 0 0 0 0 0 4 13 4
features
features teacher using
study 19 23
science 15 11
teachers 13 59
use 11 48
technologies 20 8
different 15 8
[ reached max_nfeat ... 43 more features ]
# A tibble: 822 × 2
word n
<chr> <int>
1 learning 27
2 technology 26
3 education 23
4 technologies 23
5 teachers 20
6 use 18
7 students 17
8 study 15
9 smartboards 14
10 science 13
# ℹ 812 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
Solamente un documento brinda una percepción negativa, según el análisis de sentimientos bing, el Ashmun Express: A Mobile-based Study Application for STEM.
El documento con mayor percepción positiva es The classroom of the future: Disrupting the concept of contemporary business education.
Notas
Interesantemente, este documento es de 2018.↩︎