Location-based mobile learning system facilitating English learning

The central aim of this study was to determine the potential of the GPS-based MCL system for English learning in terms of its relationship with learning achievements. For this, the research enrolled 51 students of Moscow Aviation Institute, National Research University (Moscow, Russian Federation) aged 20 to 22, 35% were males, and 65% were females. The paper defined the predictors of self-efficacy, self-regulation, and academic success. The main research tool was represented by 7-point Likert scale questionnaire surveys. The calculation of Cronbach’s alphas allowed concluding that they were sufficiently reliable insofar as the values obtained for the questionnaires on respondents’ self-regulation, self-efficacy, the use of GPS-based MCL system, and this system’s perceived usefulness and simplicity equaled 0.78, 0.89, 0.84, and 0.84, respectively. Overall, the experiment outcomes uncovered that student self-regulation and self-efficacy do influence learning outcomes and can even predict future academic performance. There was a significant difference in the results of pre- and post-testing conducted before and after the implementation of the GPS-based MCL system with the upward trend observed. Alongside this, the mean scores for the perceived usefulness and ease of use of the proposed MCL system constituted 4.96 and 5.28 (on a 7-point scale). © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Zubanova S.1 , Didenko E.2 , Karabulatova I. 3, 4
  • 1 Foreign Languages Department I-11, Moscow Aviation Institute (National Research University), Moscow, Russian Federation
  • 2 Department of Foreign Languages and Cross-Cultural Communication, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 3 Department of Foreign Languages of Philological Faculty, Рeoples’ Friendship, University of Russia, RUDN University), Moscow, Russian Federation
  • 4 Department of Machine Learning and Digital Humanities, Moscow Institute of Physics and Technology (National University), Dolgoprudny, Russian Federation
Foreign language learning; GPS-based learning; location-based learning apps; mobile context-aware learning; mobile learning
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