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Article . 2023 . Peer-reviewed
License: CC BY
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Article . 2023
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https://dx.doi.org/10.60692/ap...
Other literature type . 2023
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Other literature type . 2023
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Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using m-learning

مقارنة تمثيلات محتوى التعلم لتحسين اكتساب مفردات اللغة الثانية باستخدام التعلم عبر الهاتف المحمول
Authors: Jorge Rodríguez-Arce; Esteban Vázquez‐Cano; Juan Pablo Cobá Juárez-Pegueros; Salvador González-García;

Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using m-learning

Abstract

Previous works reveal that there is potential in the use of mobile devices as a useful tool to help learn new vocabulary and it allows the learning materials can be displayed with different Learning Content Representation (LCR) types. Nevertheless, there are no conclusive results about which LCR type is better to improve L2 vocabulary acquisition using m-learning. The purpose of this study was to explore the effects of improving the students’ academic performance using two LCR types that promote different learning strategies in a vocabulary learning task. A mobile application with two LCR types was implemented and tested: the SRL type based on a self-regulated learning strategy, and the NSRL type based on a non-self-regulated learning strategy. Quantitative analyses indicated that there is a relationship between the LCR types and the word recall on vocabulary learning. The SRL type seems to be effective in improving the students’ learning abilities and students in this experimental group exhibited significantly better academic performance. The results are meant to draw that LCR-SRL types must be used in m-learning to L2 vocabulary acquisition. Future studies should focus on how to integrate these strategies in m-learning and understand their effects on improving students’ vocabulary acquisition.

Country
Spain
Keywords

FOS: Computer and information sciences, self-regulated learning, Mobile Learning in Higher Education, Economics, learning content representations, Social Sciences, vocabulary acquisition, Open Educational Resources and Learning Object Repositories, Cooperative Learning, Vocabulary, 58 Pedagogía, H, Task (project management), Cognitive psychology, AZ20-999, Developmental and Educational Psychology, Psychology, m-learning, word learning, Mobile Learning, Collaborative Learning, Linguistics, Self-Regulated Learning in Educational Research, Language Learning, Computer science, Computer Science Applications, FOS: Philosophy, ethics and religion, Management, FOS: Psychology, Philosophy, Learning Object Repositories, Computer Science, Physical Sciences, FOS: Languages and literature, Recall, History of scholarship and learning. The humanities, Vocabulary learning, Information Systems

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    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold