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1.
Sci Rep ; 13(1): 15310, 2023 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-37714915

RESUMO

The release and rapid diffusion of ChatGPT have caught the attention of educators worldwide. Some educators are enthusiastic about its potential to support learning. Others are concerned about how it might circumvent learning opportunities or contribute to misinformation. To better understand reactions about ChatGPT concerning education, we analyzed Twitter data (16,830,997 tweets from 5,541,457 users). Based on topic modeling and sentiment analysis, we provide an overview of global perceptions and reactions to ChatGPT regarding education. ChatGPT triggered a massive response on Twitter, with education being the most tweeted content topic. Topics ranged from specific (e.g., cheating) to broad (e.g., opportunities), which were discussed with mixed sentiment. We traced that authority decisions may influence public opinions. We discussed that the average reaction on Twitter (e.g., using ChatGPT to cheat in exams) differs from discussions in which education and teaching-learning researchers are likely to be more interested (e.g., ChatGPT as an intelligent learning partner). This study provides insights into people's reactions when new groundbreaking technology is released and implications for scientific and policy communication in rapidly changing circumstances.

2.
Comput Educ ; 199: 104788, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-36974059

RESUMO

During the COVID-19-related school closures teachers and students were challenged to suddenly switch to digital teaching at a distance. In particular, the challenge was to organize high-quality teaching in which students stay on task. Familiarity with technology may have helped to master the situation. However, only few studies so far have examined the quality of digital distance teaching (e.g., cognitive activation) during school closures and its relation to students' learning (e.g., effort investment). Moreover, systematic research concerning the role of familiarity with technology-enhanced teaching and learning acquired during face-to-face teaching is yet lacking. In our study, we used data from 729 ninth graders to investigate how student-observed learning activities when using technology at a distance were related to students' effort in learning in two subjects (mathematics, German). In addition, we examined whether student-perceived cognitive activation mediated this relation. Finally, the sample provides the unique opportunity to examine the role of familiarity, as some of the classes had been randomly equipped with tablet computers one year before the school closures and thus had the opportunity to gain familiarity with using technology in the classroom. Results from structural equation models showed that student-observed learning activities were associated with students' learning effort in both subjects. Student-perceived cognitive activation mediated this association. Familiarity with face-to-face technology-enhanced teaching gained before the COVID-19 pandemic appeared to be less important for high-quality digital distance teaching. Thus, infrastructural measures, such as equipping schools with digital devices so that teachers and students can familiarize themselves with technology, do not seem to be decisive for high-quality digital (distance) teaching-at least in the case of short-term change from face-to-face to digital distance teaching, as was necessary during the COVID-19 pandemic.

3.
Z Erziehwiss ; 24(2): 443-477, 2021.
Artigo em Alemão | MEDLINE | ID: mdl-33824621

RESUMO

Many schools introduced distance learning as a result of the school closings due to the Corona pandemic in March 2020. Such instruction was often organized digitally without much prior preparation. As a result, an increased exchange between teachers in online communities was to be expected. Analyzing the communication of the online community Twitter-Lehrerzimmer provided insight into topics and allowed to compare topics that were discussed before and during school closings. To identify topics, we applied computational linguistic analysis methods on 128,422 tweets and qualitative content analysis of 270 tweets. The results indicated that topics such as (a)synchronous digital teaching had already been discussed previously but was addressed more often and in more breadth during school closings. The Twitter-Lehrerzimmer was used for mutual support and exchange on urgent challenges such as the availability of high-quality software (compliant with data protection). The results reveal deficits in the German digitalization process from the perspective of teachers using Twitter and show the potential of online communities for information exchange and networking.

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