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Editor’s Note: Any widely used communication tool has the potential to facilitate learning. This paper shows how email can be used to improve reading skills in English as a Foreign language (EFL). Improving Reading Skills through E-mail: |
Group | Group | No. | Mean | SD | Min | Max |
Low | 1 | 18 | 26.61 | 13.469 | 7 | 54 |
2 | 17 | 24.35 | 13.057 | 7 | 50 | |
3 | 13 | 19.00 | 9.345 | 7 | 40 | |
Intermediate | 1 | 22 | 33.09 | 13.694 | 10 | 67 |
2 | 20 | 31.15 | 16.191 | 7 | 54 | |
3 | 9 | 22.33 | 11.790 | 10 | 47 | |
High | 1 | 22 | 38.27 | 14.399 | 10 | 60 |
2 | 20 | 37.30 | 14.360 | 17 | 70 | |
3 | 8 | 27.13 | 12.415 | 12 | 43 |
1 = group with email and class explanation
2 = group with class explanation only
3 = group with email only
As Table 1 shows, there are some small differences among the means of groups at different proficiency levels. To find out whether these differences were significant or not, a one-way ANOVA was run. Table 2 depicts the results of the ANOVA.
According to Table 2, the value of F-observed in none of the three proficiency groups is high enough to show a significant difference among the groups. Therefore, it can be claimed that the three groups at each proficiency level were homogeneous.
Group | Source | SS | df | MS | F | Sig. |
Low | Between Groups | 446.840 | 2 | 223.420 | 1.466 | .242 |
Within Groups | 6860.160 | 45 | 152.448 | |||
Total | 7307.000 | 47 | ||||
Intermediate | Between Groups | 756.142 | 2 | 378.071 | 1.809 | .175 |
Within Groups | 10030.368 | 48 | 208.966 | |||
Total | 10786.510 | 50 | ||||
High | Between Groups | 777.061 | 2 | 388.531 | 1.953 | .153 |
Within Groups | 9351.439 | 47 | 198.967 | |||
Total | 10128.500 | 49 |
After administering the treatment, the three groups under comparison were given the posttest to find out about the results of the treatment. What follows are the results of the posttest.
The result of the posttest for the high-proficiency group was analyzed for the presence of any difference among the three subgroups. The mean scores were observed to be 86.3, 89.13, and 92.96 for the traditional group, the e-mail-only group, and combined method group, respectively. In order to see whether these differences were statistically significant, a one-way ANOVA was run. Table 3 presents the results of the ANOVA.
Source | SS | df | MS | F | Sig. |
Between Groups | 466.850 | 2 | 233.425 | 3.314 | .045 |
Within Groups | 3310.030 | 47 | 70.426 | ||
Total | 3776.880 | 49 |
According to the above table, the value of F-observed (F-observed = 3.314) is significant at the significance level of 0.045 (p<0.045), which denotes that the differences among the three subgroups are significant. To find out about the exact place(s) of difference(s) the Scheffe post hoc test was run. Table 4 depicts the results.
Groups | Mean | Sig. | |
1 | 2 | 6.65455* | .046 |
3 | 3.82955 | .547 | |
2 | 1 | -6.65455* | .046 |
3 | -2.82500 | .725 | |
3 | 1 | -3.82955 | .547 |
2 | 2.82500 | .725 |
1 = group with email and class explanation
2 = group with class explanation only
3 = group with email only
By looking at Table 4, one can easily see that the difference between the group with both e-mail and class explanation and the group with only class explanation is significant, but the other differences are statistically not significant. In other words, the group which received the e-mail treatment performed almost the same as the other two groups.
The result of the posttest for the intermediate-proficiency group was analyzed to see if there were any differences among the three subgroups. The mean scores were observed to be 72.6, 82, and 92.68 for the traditional group, the email-only group, and combined method group, respectively. In order to find out whether these differences were statistically significant or not, another one-way ANOVA was run. Table 5 presents the results of this ANOVA.
Source | SS | df | MS | F | Sig. |
Between Groups | 4234.114 | 2 | 2117.057 | 25.156 | .000 |
Within Groups | 4039.573 | 48 | 84.158 | ||
Total | 8273.686 | 50 |
It can be understood from the above table that the value of F-observed (F-observed = 25.156) is significant at the significance level of.000 (p<0.0), which confirms that the differences among the three subgroups are significant. In order to find out about the exact place(s) of difference(s), another Scheffe post hoc test was employed. Table 6 depicts the results.
By studying Table 6, it can be seen that the differences between all subgroups are significant. In other words, at the intermediate-proficiency level any change in the treatment has a positive effect on the students; therefore, the groups working with email outperformed the group which received the traditional way of teaching, and the group which benefitted from both kinds of teaching performed better than the group which received email treatment only.
Groups | Mean | Sig. | |
1 | 2 | 20.08182* | .000 |
3 | 10.68182* | .019 | |
2 | 1 | -20.08182* | .000 |
3 | -9.40000* | .047 | |
3 | 1 | -10.68182* | .019 |
2 | 9.40000* | .047 |
* The mean difference is significant at the 0.05 level (p<0.05).
1 = group with email and class explanation
2 = group with class explanation only
3 = group with email only
The posttest results for the low-proficiency group were studied to understand if there were any differences among the three subgroups. The mean scores were observed to be 67.41, 78.15, and 87.5 for the traditional group, the email-only group, and combined method group, respectively. To find out whether these differences were statistically significant or not, still another one-way ANOVA was calculated. Table 7 presents the results of this ANOVA.
Source | SS | df | MS | F | Sig. |
Between Groups | 3529.669 | 2 | 1764.835 | 19.044 | .000 |
Within Groups | 4170.310 | 45 | 92.674 | ||
Total | 7699.979 | 47 |
It can be seen in Table 7 that the value of F-observed (F-observed = 19.044) is significant at the significance level of.000 (p<0.0), which means that the differences among the three subgroups are significant. In order to find out about the exact place(s) of difference(s), the Scheffe post hoc test was employed. Table 8 depicts the result.
Groups | Mean Difference | Sig. | |
1 | 2 | 20.08824* | .000 |
3 | 9.34615* | .037 | |
2 | 1 | -20.08824* | .000 |
3 | -10.74208* | .015 | |
3 | 1 | -9.34615* | .037 |
2 | 10.74208* | .015 |
1 = group with email and class explanation
2 = group with class explanation only
3 = group with email only
Once again by studying Table 8, it can be seen that the differences between all subgroups are significant. In other words, here again any change in the treatment had a positive effect on the students; therefore, the groups working with e-mail outperformed the group which received the traditional way of teaching, and the group which benefitted from both kinds of teaching performed better than the group which received e-mail treatment only.
As was described above, a comparison was made between the means of the three groups at different proficiency levels with three types of treatments: traditional method, teaching via e-mail, and both methods combined. As observed, changes in the treatment have a positive effect on the students’ performance, that is why, the groups working with e-mail outperformed the group which received the traditional way of teaching, and the group which benefitted from both kinds of teaching performed better than the group which received the e-mail treatment only. This can be justified with reference to the students’ attitude towards using email to improve their reading skill. Most of them believe that it is quite useful to exchange information via e-mail (Warschauer, 1996). Moreover, Yu and Yu (2002) observe that through fostering a sense of online communication that “facilitates collaboration and personal discussion, social construction of knowledge among audiences at different locations at different times is realized in the electronic world” (p. 122). The results of the study are also in line with Shang’s (2005) speculation that “the effect of electronic discussion may directly affect students’ reading enhancement” (p. 208).
As for the second question of this research, it can be maintained that the proficiency level has an effect on students’ learning through e-mail. In fact, e-mail enhances intermediate and low proficiency level students’ reading performance, but it does not have any statistically significant effect on high proficiency level students.
These findings lead us to conclude that e-mail plays a very important role in students’ reading development. E-mail communication provides students with additional opportunities to communicate in English. Furthermore, there are some differences between high, intermediate and low proficiency level students regarding the benefits of using e-mail. While the students at low and intermediate proficiency levels benefit enough from using email, those at the high proficiency level may not benefit much since students who are at a high proficiency level are automatically more efficient and active all the time; therefore, high-proficiency students who receive e-mail treatment perform almost the same as those who receive class explanation only.
Therefore, it can be claimed, based on the results of the present study, that using e-mail can have a positive effect on students’ second language literacy growth and serve as a catalyst for reading comprehension. Reading skills during e-mail exchanges can improve because the opportunity to communicate with one another via e-mail can provide participants with a sense of accomplishment and an awareness that their knowledge and experiences are worthy of consideration and acceptance.
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Saeed Taki is an assistant professor in the English Department at Islamic Azad University, Shahreza Branch, IRAN. His main areas of interest include language pedagogy, cultural studies and (critical) discourse analysis.
E-mail: Taki@iaush.ac.ir
Zahra Ramazani is at the Islamic Azad University, Shahreza Branch, IRAN.
E-mail: zahraramazani@gmail.com