Design and Development of Cloud Learning Tool for English ...
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International Journal of English Linguistics; Vol. 9, No. 6; 2019 ISSN 1923-869X E-ISSN 1923-8703
Published by Canadian Center of Science and Education
93
Design and Development of Cloud Learning Tool for English Sentence Patterns
Ching-Fan Chen1 1 Department of Educational Technology, Tamkang University, Taiwan
Correspondence: Ching-Fan Chen, Department of Educational Technology, Tamkang University, 151 Yingzhuan Road, Danshui Dist., New Taipei City, Taiwan. E-mail: [email protected]
Received: July 8, 2019 Accepted: August 18, 2019 Online Published: October 13, 2019
doi:10.5539/ijel.v9n6p93 URL: https://doi.org/10.5539/ijel.v9n6p93
Abstract
This study aims at providing Taiwanese students at different levels of study with a cloud language learning tool. The design of the learning tool can be divided into three stages. The first stage is the design of the curriculum. It combines paper learning log sheet with a simple computer program to help students write short essays and “tell” the stories. Findings of this study showed that students were highly motivated to make use of the computer learning tool to practice English sentence patterns and to create short essays. In the second stage, the researcher developed a cloud English learning tool that can be used in different types of computer facilities. This learning tool aims at helping students practicing English sentence patterns and at providing teachers with tools to monitor students learning process and performance. In the third stage, the researcher applied this computer learning tool to vocational high school students. The participants were two classes of high school seniors in New Taipei city, with 34 students in each class. One of the two classes was assigned as the experimental group and the other class the control group. The experimental group practiced English sentence patterns, using the cloud English learning tool. The control group was provided with paper handouts and was taught in a traditional way. The results showed a significant difference in performance between the two groups of students, with an F value 4.563 (p<.05). The experimental group had higher mean scores than the control group had. We may conclude that the cloud English learning tool can improve vocational high school students’ English writing skills.
In the three-stage study, the researcher found that students at different levels of study used different types of computer facilities, for example, senior high school students used smart phones or notebooks, junior high school students used desktops in the computer lab, and elementary school students used learning log sheets to learn. Therefore, the researcher integrated HTML 5 and jQuery into a learning system and provided teachers with learning logs forms to download. That is, teachers can apply this learning system to students of different levels of study. The goal of this learning tool is to help students write short English essays.
Keywords: cloud learning, English teaching, digital storytelling, information technology integration into instruction, Mandala Thinking Method, English writing abilities
1. Introduction
After considerable analyses of high school EFL students’ writing in English, English teachers realized that high school students’ problems in writing lie in the fact that students do not have a clear idea of how to put English vocabulary words in the right order in a sentence. It is not uncommon that they put vocabulary words in a random order to form a sentence, which is usually considered ungrammatical. Saddler, Behforooz, and Asaro (2008) pointed out that the problems with writing may be caused by students’ insufficient knowledge of English sentence patterns, and it is quite often that EFL students make grammatical errors and have problems producing compound or complex sentences. In order to promote EFL students’ writing ability, nurture their global perspective, and motivate them to learn English, the researcher propose to make use of different learning programs online to create a framework of basic English sentence patterns, to which students can apply to create their own short stories.
This study aims at providing different levels of EFL students in Taiwan with a cloud English learning tool. The process of the entire project was divided into three stages. The first stage was curriculum design. The researcher made use of existing learning log sheets and simple computer programs to design the curriculum, focusing on junior high school students. Results of the experimental study showed that students could easily create a short
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Table 3. Within groups homogeneity of regression coefficient (independent variable: post-test)
Source Type III sum of squares df Mean Square F Sig.
Corrected Model 16416.801a 3 5472.267 32.794 .000 Intercept 3007.190 1 3007.190 18.021 .000 Group 848.585 1 848.585 5.085 .028 Total score of Pretest 14854.160 1 14854.160 89.018 .000 Group * Pretest 387.471 1 387.471 2.322 .132 Error 10679.478 64 166.867 Total 203251.000 68 Corrected Total 27096.279 67
Note. a. R Squared = .606 (Adjusted R Squared = .587).
4.3 ANOVA Analysis of English Writing Ability
Results of the one-way ANOVA analysis of the English writing ability of the experimental group and the control group as follows:
1) Table 4 shows that the mean score of the control group is 46.62, and the mean score of the experimental group is 55.18.
2) Table 5 shows that the group F value is 4.563 (p<.05), the different is significant. It is evident that the cloud language learning tool affects students’ English writing skills. Table 4 also shows that the mean score of the experimental group is higher than that of the control. It also shows that the cloud language learning tool may improve students’ English writing ability.
Table 4. Descriptive analysis of English writing proficiency tests
Group M SD n
Control group 46.62 22.184 34 Experimental group 55.18 17.066 34 Total 50.90 20.110 68
Table 5. ANOVA analysis of English writing test
Source Type III sum of squares df Mean Square F Sig.
Corrected Model 16029.330a 2 8014.665 47.073 .000 Intercept 2986.169 1 2986.169 17.539 .000 Total Score of Pre-test 14784.021 1 14784.021 86.832 .000 Group 776.936 1 776.936 4.563 .036* Error 11066.949 65 170.261 Total 203251.000 68 Corrected Total 27096.279 67
Note. a. R Squared = .592 (Adjusted R Squared = .579); b. *p<0.05.
5. Conclusion
Analysis of the data collected for the present study showed a significant f-value 4.563 (p<.05). It may reveal that the cloud language learning tool can affect students’ English writing skills. That the mean score of the experimental group is higher than that of the control group further prove that the cloud language learning tool may help develop vocational high school students’ English writing skills.
Based on the teacher’s observation, it takes time for students to learn to make use of the cloud language learning tool to create short essays. Therefore, the researcher developed a three-stage curricular activity. In the first stage, the teacher provides vocabulary words and sentence patterns, and students make use of the cloud language learning tool to form different sentences. Then, after being familiar with the cloud language learning tool, students may provide their own vocabulary words and use the sentence patterns available in the tool to create a short essay. In the third stage, students are encouraged to create their own sentence patterns and provide their own vocabulary words to produce short essays. This three-stage cloud language learning curriculum may also be combined with computer animation and applied to elementary school students to motivate students to learn. Hopefully, this cloud language learning program may prevail in schools of different levels.
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Acknowledgements
The author would like to thank Chih-Hong Chiang, You-Syun Ling & Ling-Hsuan Chu for their devotion to the research study.
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