Mobile Learning Application Development for Improvement of English Listening Comprehension

Trend towards English language learning has been increased because it is considered as Lingua franca i.e. language of communication for all. However students of Pakistan are behind in this pace, especially rural elementary students. In rural areas there is crucial need to get assistance in their own curriculum after school because mostly they do not find anyone to help at home. M-Learning (Mobile Learning) assists learning anywhere and anytime. This ubiquitous power of M-Learning helps in after school programs and education in rural areas. The aim of this study is to develop M-Learning application for improvement of English listening comprehension in rural primary school students. This study developed English learning application based on Listening Comprehension, which embeds English curriculum of Sindh Textbook board for grade 1, 2 and 3. This study took the form of an after-school program in a village in Pakistan. There were 45 students of grade 3 from rural primary school of Pakistan selected as participants. Since developed application is based on recognition and memorization of information, so that knowledge and comprehension level of cognitive domain from Bloom’s taxonomy were selected for choosing the type of evaluation questions. On the basis of those question types, EGRA (Early Grade Reading Assessment) test is used for evaluation. This test was conducted on two experimental groups and one control group and the results of the groups were compared to one another. The results confirm that English M-learning applications can become helpful tool for students who live in rural areas where they face problems in learning of their English curriculum, since their relatives are not capable to teach them as accordingly.

@article{Laghari2017,
  title     = {Mobile Learning Application Development for Improvement of English Listening Comprehension},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {8},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Zahida Parveen Laghari and Hameedullah Kazi and Muhammad Ali Nizamani},
  doi       = {10.14569/IJACSA.2017.080830},
  url       = {https://doi.org/10.14569/IJACSA.2017.080830}
}