ArticleEducation and information technologies2022
Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis.
Article in Education and information technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study.JMIR medical informatics · 2026Review
- Review
- Review
- Exploring research trends of technology use in mathematics education: A scoping review using topic modeling.Education and information technologies · 2023Article
- Empirical research of emerging trends and patterns across the flipped classroom studies using topic modeling.Education and information technologies · 2023Article
- Cereal-legume intercropping: a smart review using topic modelling.Frontiers in plant science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Education and Information Technologies (EAIT) has been a leading journal in education & educational research since 1996. To celebrate its 25th anniversary and provide a comprehensive overview of the field, a topic modeling-based bibliometric analysis was conducted on the articles published in this journal. The study is constructed upon two methods, bibliometric analysis, and topic modeling. The study aims to find out the trends in publications and citations, prominent countries, affiliations and the status of authors, the prominent topics, and the thematic characteristics of these topics, as well as research interests and trends. The results show that the articles are grouped under the 21 topics. The top five most studied of them have been determined as "Technology acceptance", "Social networkbased learning", "Teacher education", "Satisfaction of e-learning" and "E-learning". Finally, the acceleration results of each topic within itself and compared to other topics show that the most accelerated topic is "Gamification", while the most accelerated topic compared to other topics has been determined as "Technology acceptance". The general results of the study shed light on future studies in terms of determining the research interests and trends of publications in the field of educational technologies, EAIT.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.