How to cite this Dataset
Ye, Jiarun and Zhang, Pengchong (2025): Vocabulary learning through technology-enhanced learning approaches. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1431
Description
The dataset consists of second language (English) learning data, collected from 132 Chinese learners aged 13 to 14 in two schools in China over a period of approximately 6 months. Learners were divided into four experimental groups with different technology-enhanced learning conditions (video enhancement, video enhancement plus self-regulation mechanism, digital flashcards, and digital flashcards plus self-regulation mechanism) and one control group with no intervention. The data was collected at three time points. At Time 1, quantitative data were collected through a pre-existing vocabulary knowledge test, a target vocabulary pre-test (measuring written form recognition, aural form recognition and meaning recall), and a self-regulation questionnaire. At Time 2, at the end of each learning intervention (a 5-week intervention, one session per week), quantitative data were collected through an immediate post-test of the target words. At time 3, quantitative data were collected one month after the last intervention session through a delayed post-test regarding the influence of repetitions under different technology-enhanced learning conditions.
Resource Type: | Dataset |
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Creators: | Ye, Jiarun |
Rights-holders: | Jiarun Ye, University of Reading |
Data Publisher: | University of Reading |
Publication Year: | 2025 |
Data last accessed: | 22 June 2025 |
DOI: | https://doi.org/10.17864/1947.001431 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/1431 |
Organisational units: | Arts, Humanities and Social Science > Institute of Education > Language and Literacy in Education |
Participating Organisations: | University of Reading |
Keywords: | second langauge vocabulary learning, technology-enhanced learning approaches, self-regulated learning mechanism |
Rights: | |
Data Availability: | OPEN |