ArticleEducation and information technologies2022
Using Rogers' diffusion of innovation theory to conceptualize the mobile-learning adoption process in teacher education in the COVID-19 era.
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 10 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
10 citing papers in PubMed.
- Factors influencing college student intention to use ChatGPT with an integrated TAM and IDT model.Scientific reports · 2026Article
- Student voices: synergising artificial and human intelligence in health science education.BMC medical education · 2026Article
- Implementation of a nursing assessment framework in the postanesthesia care unit: a pre-post implementation design.Frontiers in medicine · 2026Article
- A spherical fuzzy WASPAS approach to prioritize the factors enhancing the effectiveness of physical education classroom teaching.Scientific reports · 2025Article
- Proposal and Strategy for Nursing-Led Research: Protocol for an Unfunded Clinical Trial.JMIR research protocols · 2025Article
- Article
- Article
- The effect of teachers' self- innovativeness on accountability, distance learning self-efficacy, and teaching practices.Computers & education · 2023Article
- Household determinants of continued adoption of sustainable land management measures in central Ethiopia.Heliyon · 2023Article
- Implementing digital neuroscience in special-needs-teacher education: exploring student-teachers' multifaceted learning outcomes related to teaching children with neurodevelopmental disorders.Frontiers in psychology · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using mobile learning (ML) has become exceedingly relevant in times of distant teaching. Although much is known about the factors affecting ML usage, less is known about the ML adoption process under constraints such as the COVID-19 pandemic. The aim of this exploratory case study was to gain insight into the ML adoption process using the lens of Rogers' Diffusion of Innovation Theory. Participants were in-service (32) and preservice (29) teachers who attended ML training. Data were collected using semi-structured interviews (20), focus groups (6), and participants' reflections (183) at three time points. Data underwent multilevel analysis (content and linguistic analysis), revealing 12 themes that denote the ML adoption process and demonstrated intergroup similarities and differences. The study provides theoretical insight into the ML adoption process under crisis and highlights the features that must be addressed to promote optimal ML adoption in teacher education in both routine and emergency conditions.
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.