Impact of Collaborative Writing Through Google Docs on Iranian Intermediate EFL Learners' Written Complexity, Accuracy, and Fluency
الموضوعات : نشریه زبان و ترجمهZeinab Cheraghpour 1 , Nafiseh Hosseinpour 2 , Sajad Shafie 3
1 - Department of English, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
2 - English Department, Falavarjan Branch, Islamic Azad University, Esfahan, Iran
3 - Department of English٫ Shahrekord Branch٫ Islamic Azad University٫ Shahrekord٫ Iran
الکلمات المفتاحية: Accuracy, Collaborative writing, Complexity, Fluency, Google Docs, Writing skill,
ملخص المقالة :
This study examined how Iranian intermediate EFL learners' writing complexity, accuracy, and fluency were affected by collaborative online writing using Google Docs. The language proficiency of 75 EFL learners was gauged based on their performance on the Oxford Quick Placement Test (OQPT). They were intermediate male and female EFL learners studying English at three language institutes in Shahrekord. Participants were chosen through convenient sampling. The participants were then split into two groups at random: a Google Docs group, and a control group. Afterwards, learners in the control and experimental groups were given a cause-and-effect prompt as a pre-test, and their writing complexity, accuracy, and fluency were assessed using CAF measures. Following the pre-test, the participants in the experimental groups began a six-week training period in the collaborative environments of Google Docs. The same instructional materials and procedures were presented to the control group, but in a non-collaborative, face-to-face setting. Similar to the writing pre-test, a writing post-test was given to both groups at the end of the intervention, and the writings were graded. In comparison to the conventional methodology, the results obtained showed that the instructional method (Google Docs) is advantageous and effective in enhancing writing skills. The main outcome of this research is that the ease and viability of teaching and learning writing are significantly and meaningfully influenced by giving learners control over their learning through Google Docs.
Research Paper
Journal of
Language and Translation
Volume 14, Number 3, 2024, (pp.15-29)
Impact of Collaborative Writing Through Google Docs on Iranian
Intermediate EFL Learners' Written Complexity, Accuracy, and Fluency
Zeinab Cheraghpour1, Nafiseh Hosseinpour2*, Sajad Shafiee3
1Ph.D. Candidate, English Department, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
2*Assistant Professor, English Department, Falavarjan Branch, Islamic Azad University, Esfahan, Iran
3Assistant Professor, English Department, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
Abstract
Received: May 27, 2023 Accepted: August 16, 2023
This study examined how Iranian intermediate EFL learners' writing complexity, accuracy, and fluency were affected by collaborative online writing using Google Docs. The language proficiency of 75 EFL learners was gauged based on their performance on the Oxford Quick Placement Test (OQPT). They were intermediate male and female EFL learners studying English at three language institutes in Shahrekord. Participants were chosen through convenient sampling. The participants were then ran- domly split into two groups: a Google Docs group and a control group. Afterward, learners in the control and experimental groups were given a cause-and-effect prompt as a pre-test, and their writing complex- ity, accuracy, and fluency were assessed using CAF measures. Following the pre-test, the participants in the experimental groups began a six-week training period in the collaborative environments of Google Docs. The same instructional materials and procedures were presented to the control group, but in a non-collaborative, face-to-face setting. Similar to the writing pre-test, a writing post-test was given to both groups at the end of the intervention, and the writings were graded. Compared to the conven- tional methodology, the results showed that the instructional method (Google Docs) is advantageous and effective in enhancing writing skills. The main outcome of this research is that the ease and viability of teaching and learning writing are significantly and meaningfully influenced by giving learners con- trol over their learning through Google Docs.
Keywords: Accuracy; Collaborative writing; Complexity; Fluency; Google Docs; Writing skill
INTRODUCTION
Writing is an important productive skill for learning other receptive and productive abilities in a second language (L2) (Zhu, 2004). Writing increases cognition and learning, encourages communication, and allows for reflection (Mekheimer, 2005). After they've been written down, ideas may be evaluated, reexamined, reorganized, and modified. Olshtain (2001)
emphasized the significance of this critical talent, claiming that the skill of writing has exceptional status--it is via writing that a person may ex- press a range of messages to near or distant known or unknown readers.
Despite the importance of writing, L2 learners may experience anxiety or fear when compelled to write (Arnold, 2007; Byrd, 2010; Zhu, 2004), which may impede
them from strengthening their writing
*Corresponding Author’s Email:
skills. The difficulty of writing is routinely
acknowledged by experts in the area. Ac- cording to Nunan (1989), learning to write often and expressively is the most challenging motor skill for all language users, regardless of whether the language is a first, second, or foreign language. As Nunan (1996) points out, producing a cohesive, fluent, and substantial piece of writing is likely the most difficult thing to achieve in a language. Writing, according to Richards and Renandya (2002), is the most difficult ability for L2 learners to acquire.
To help L2 students with this difficult ability, L2 instructors might utilize a range of tools. One alternative is to leverage technol- ogy developments and technologies that might be beneficial for educational objec- tives. Given the prevalence of technical breakthroughs in our everyday lives and the permeation of technology in practically every part of today's life, it seems promising to ex- plore the impact of utilizing Google Docs, as an example of technological resource, on EFL learners' writing growth.
Google Docs, a Web 2.0 application that has the potential to boost the academic writing skills of EFL learners (Ebadi & Rahimi, 2017; Godwin-Jones, 2008), allows users to readily update papers both synchronously and asyn- chronously. Students may use Google Docs to write and update documents online while collaborating with other students or the in- structor in real time (George, 2012). Google Docs incorporation into collaborative writing practices has gotten comparatively little scholarly attention.
This online technological tool has piqued the curiosity of computer-assisted language learning (CALL) experts. According to the sociocultural theory of L2 acquisition (Lantolf, 2000; Lantolf & Appel, 1994), interaction, specifically focusing on language and language use, as well as engaging in collaborative di- alogue (Swain, 2000), are essential processes in L2 learning through which students co-cre- ate knowledge about the target language. In fact, the fundamental ideas of this theory are what sparked this interest in collaborative writing using Google Docs.
When compared to research on the ad- vantages of collaborative work for speaking, the number of studies evaluating the benefits of collaborative work for writing in L2 is very limited (Storch, 2005; Storch & Wigglesworth, 2007). According to Storch (2005), although pair and group work are common in language courses, relatively few researches have looked into the nature of such cooperation when students create a collaboratively authored document. The bulk of research on collaborative writing in the L2 classroom has focused on learners' attitudes towards group/pair work in general, rather than the practice of collaborative writing specifically.
Collaborative writing was one of Google Docs' most popular applications in education, but it was also utilized for a variety of other purposes. According to Thompson (2008), Google Docs allows users to collaborate on the production and modification of online written materials. Sharp (2009) mirrored this sentiment when he said that Google Docs enabled mem- bers of one group to write a document while concurrently observing the modifications that were being made. These characteristics made it possible to update a shared text at the same time. As a consequence, Google Docs was judged to be a more beneficial tool for developing creativity in learning and independence while completing a written work than a regular classroom (Chinnery, 2008).
The first to explore how well Google Docs performed for collaborative writing activities were Zhou, Simpson, and Domizi (2012). The two writing tasks were sent to 35 participants. This research included two groups, one using Google Docs and the other in a more conven- tional setting. These two tasks were used to assess student performance. Despite the fact that Google Docs was effective for 93% of participants' research, it had no effect on students' grades. Furthermore, despite not having previously utilized Google Docs, student participation on this platform encouraged them to do so in the future.
Ishtaiwa and Aburezeq attempted to explore how Google Docs affects student cooperation in EFL classrooms, as well as any possible barriers to such collaboration, in their 2015
research. The study revealed that the unique characteristics of Google Docs improved stu- dent engagement. In an EFL context, Sarah and Yu-Ju (2016) identified disparities in motivation, vocabulary development, and perceptions between two different groups. The second group did individual English prac- tice, while the first group used Google Docs to communicate with their peers on language chal- lenges. The collaborative group outperformed the solo group in terms of performance, learning, and overall experience. According to this research, Google Docs enhanced students' enthusiasm to learn foreign languages.
Ebadi and Rahimi (2017) investigated the influence of online peer editing on academic writing abilities among EFL learners using Google Docs. The participants were chosen from two complete classes of ten EFL students each studying an IELTS course at a language institution in Sanandaj, Iran. IELTS Tasks 1 and 2 were used to evaluate the students' academic writing abilities, and a semi-struc- tured interview was undertaken to learn more about how online peer-editing influ- enced the students' academic writing skills. The findings showed that both in-person teaching and peer editing using Google Docs significantly improved students' academic writing abilities, with the former outperforming the latter.
The above-mentioned studies examined the effect of Google-docs on writing, but none were concerned with the impact of Google-docs on CAF in writing among Iranian EFL learners. Therefore, in this study, the following research question was raised:
RQ: Does Google docs-mediated collabora- tive writing have a significant effect on Iranian intermediate EFL learners' written complexity, accuracy, and fluency?
METHOD
Participants
Fifty EFL students from three different lan- guage institutes in Shahrekord participated in the research. They were randomly assigned to one of two groups (experimental and control, each with 25 intermediate EFL learners) based
on their performance on the Oxford Quick Placement Test (OQPT). The sample included both male and female participants who spoke Persian as their first language; the students ranged in age from 20 to 35 years old.
Instruments
The first instrument utilized in this research was the OQPT, a well-known and extensively used language placement test. The OQPT's 60 multi- ple-choice questions on vocabulary, grammar, and reading comprehension were graded using a rubric, and those with scores between 30 and 47 were designated as intermediate. Writing pre- and post-tests were another data collection instrument used in the research. Students were given a cause-and-effect prompt and given 30 minutes to compose a paragraph about it for the writing pre-test. Before presenting the topic to the students, two SLA professors reviewed it for authenticity and clarity. The written work of the students was assessed by two raters, and the inter-rater reliability of their ratings (83.6%) was calculated.
Following the end of the treatment, a writing post-test was given. This test featured the same format as the pre-test (i.e., cause-and-effect), a time restriction, testing criteria, and scoring. The validity and reliability of the post-test were also investigated. The number of error-free sentences was used to operationalize writing accuracy, while the number of words was used to operationalize writing fluency. The number of clauses per T-unit was calculated (Fathi & Rahimi, 2020), where a T-unit is an independent clause plus any associated dependent clauses.
Procedure
To reflect the community of intermediate English language learners at three language institutions in Shahrekord, Iran, a homogeneous sample of intermediate EFL learners was recruited. The participants were then randomly allocated to a Google Doc Group (GDG) and a control group of 25 learners each. Students in the control and experimental groups were given a cause-and- effect pre-test, and their writing complexity, accuracy, and fluency were assessed using CAF measures. Following the pre-test, partici- pants in the experimental group underwent a
six-week treatment phase. To be more precise, students in the experimental groups were taught about Google Docs and how it may be utilized for collaborative writing assignments.
Each GDG member created a Google Doc for oneself and shared it with the other par- ticipants. They then revised each other's papers in groups of two using Google Docs while acting in unison (i.e. with a lapse of time). Each time, the entire class had to edit a peer's writing. Using a different font color, the students were in- structed to proofread their classmates' writings while looking for crucial elements, such as the organization of the information, the use of linking phrases, the choice of appropriate vocabulary, collocation, prepositions, pre- cise grammar structures and tenses, and punctuation.
The phases of the writing process (pre-writing, drafting, and rewriting) were carried out in a face-to-face situation but without cooperation
for the control group, using the identical in- structional materials. This group's learners all had the same amount of lessons, and only the instructor was in charge of giving feedback. At the end of the intervention, the learners in the two groups were given a writing post-test that was comparable to the writing pre-test, and their CAF scores were compared. After their compositions were graded by two separate raters, the inter-rater reliability coefficients for the writing pre-test and writing post-test were determined.
RESULTS
Table 1 shows the acquired mean score and 5% Trimmed Mean for each group. The table shows that the means for each group and the 5% trimmed mean are not statistically different. It illustrates that the extreme top and bottom 5% of scores had little to no influence on the final mean scores.
Table 1 Test Scores Normality: Descriptive Statistics for Participated Groups | |||
|
| Statistic | Std. Error |
GDG C pre-test | Mean | 9.93 | .21 |
5% Trimmed Mean | 9.98 |
| |
GDG A pre-test | Mean | 7.72 | .24 |
5% Trimmed Mean | 7.80 |
| |
GDG F pre-test | Mean | 7.37 | .24 |
5% Trimmed Mean | 7.38 |
| |
GDG C post-test | Mean | 16.52 | .28 |
5% Trimmed Mean | 16.52 |
| |
GDG A post-test | Mean | 18.82 | .23 |
5% Trimmed Mean | 18.91 |
| |
GDG F post-test | Mean | 17.27 | .27307 |
5% Trimmed Mean | 17.28 |
| |
CG C pre-test | Mean | 9.63 | .18 |
5% Trimmed Mean | 9.64 |
| |
CG A pre-test | Mean | 8.54 | .23 |
5% Trimmed Mean | 8.52 |
| |
CG F pre-test | Mean | 7.44 | .16 |
5% Trimmed Mean | 7.41 |
| |
CG C post-test | Mean | 14.18 | .28 |
5% Trimmed Mean | 14.15 |
| |
CG A post-test | Mean | 14.13 | .15 |
5% Trimmed Mean | 14.14 |
| |
CG F post-test | Mean | 14.46 | .19 |
5% Trimmed Mean | 14.40 |
|
Table 2. below shows the Tests of Nor- mality according to Kolmogorov-Smirnov statistics. This assesses the normality of the
distribution of scores. A non-significant re- sult (Sig. value of more than .05) indicates normality.
Table 2
Tests of Normality
Kolmogorov-Smirnova | Shapiro-Wilk |
| ||||
| Statistic | Df | Sig. | Statistic | df | Sig. |
GDG C pre-test | .206 | 25 | .008 | .941 | 25 | .155 |
GDG A pre-test | .272 | 25 | .000 | .849 | 25 | .002 |
GDG F pre-test | .179 | 25 | .038 | .949 | 25 | .234 |
GDG C post-test | .130 | 25 | .200* | .957 | 25 | .354 |
GDG A post-test | .240 | 25 | .001 | .828 | 25 | .001 |
GDG F post-test | .193 | 25 | .017 | .944 | 25 | .179 |
CG C pre-test | .164 | 25 | .081 | .909 | 25 | .029 |
CG A pre-test | .171 | 25 | .058 | .942 | 25 | .166 |
CG F pre-test | .150 | 25 | .150 | .947 | 25 | .218 |
CG C post-test | .110 | 25 | .200* | .964 | 25 | .505 |
CG A post-test | .195 | 25 | .015 | .947 | 25 | .210 |
CG F post-test | .171 | 25 | .058 | .936 | 25 | .117 |
*. This is a lower bound of the true significance |
|
|
|
|
Table 3
Test of Homogeneity of Variances for Different Components of Collaborative Writin
Collaborative Components | Levene Statistic | Df1 | Df2 | Sig. |
Complexity | .64 | 2 | 72 | .52 |
Accuracy | 1.02 | 2 | 72 | .36 |
Fluency | 3.11 | 2 | 72 | .05 |
The performance differences between the various groups are shown in Table 3 as being statistically significant.
A significant difference in conventional group performance was seen, as shown by the multiple comparison calculation.
Table 4
Test of ANOVA for Different Components of Collaborative Writing
Collaborative Components | Df | Mean Square | F | Sig. |
Complexity | 2 | .72 | .64 | .52 |
Accuracy | 2 | 9.94 | 6.05 | .004 |
Fluency | 2 | 20.96 | 22.41 | .000 |
A one-way analysis of covariance should be performed in order to obtain additional results because there is a significant difference
between the performances of the groups based on their pre-test scores. Intermediate EFL learners' written CAF
Table 5
Descriptive Statistics for the participants in Google Docs and Conventional Groups
Group types | Mean | Std. Deviation | N |
Google Doc | 16.52 | 1.44 | 25 |
Conventional | 14.18 | 1.41 | 25 |
Total | 15.35 | 1.84 | 50 |
The Descriptive statistics of the participants in the GDG group (N=25, SD=1.44, M=16.52)
and the CG group (N=25, SD=1.41, M=14.18) are shown in Table 5. According to the obtained mean scores, the GD group performed better than the control group in terms of how complex collaborative writing was.
Table 6
Levene's Test of Equality of Error Variances Dependent Variable: Complexity of Collaborative Writing
F | df1 | df2 | Sig. |
.188 | 1 | 48 | .66 |
Table 6 demonstrates that the p-value is higher than the alpha level (P=. 66). As a result, there has been no violation of the variances' equality as- sumption. Table 7 discusses the significance of the obtained difference between mean scores.
Results of the Research Question
The following research question and hypothesis were the focus of the study:
Does Google doc-mediated collaborative writing have a significant effect on Iranian intermediate EFL learners' written CAF?
Google-doc-mediated collaborative writing has no significant effect on Iranian.
Table 7
Tests of Between-Subjects Effects
Dependent Variable: Complexity of Collaborative Writing
Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial Eta Squared |
Corrected Model | 69.5a | 2 | 34.75 | 16.77 | .000 | .416 |
Intercept | 142.1 | 1 | 142.11 | 68.59 | .000 | .593 |
Covariate (Complexity pre-test) | 1.05 | 1 | 1.05 | .51 | .479 | .011 |
Group types | 69.45 | 1 | 69.4 | 33.52 | .000 | .416 |
Error | 97.37 | 47 | 2.07 |
|
|
|
Total | 11948 | 50 |
|
|
|
|
Corrected Total | 166.8 | 49 |
|
|
|
|
a. R Squared = .416 (Adjusted R Squared = .392) |
|
|
|
|
The obtained difference for the mean scores is meaningful, as shown in Table 7 (P=. 000<0.05). Thus, the results show that using
Google Docs for the collaborative writing pro- cess is effective, and students in the GDG group outperformed those in the CG group. According
to Cohen (1988), this case's partial eta-square represents a small effect size of 0.41. The co- variate has a 0.47 significance level. This shows that when the independent variable is controlled for, there is no statistically significant relation- ship between the covariate and the complexity of the collaborative writing. The covariate's effect is not significant because the p-value is greater than .05. In reality, it accounted for
1% of the variance in the dependent variable. As a result, the 4.7 results obtained showed that there are significant differences between the participants' performances under various treatment scenarios. Additionally, the results revealed a minor covariate intervention (the appreciable difference between the learners' complexity performance in the GDG and CG conditions).
Table 8
Grand Mean
Dependent Variable: Complexity of the Collaborative Writing
|
| 95% Confidence Interval | |
Mean | Std. Error |
| |
|
| Lower Bound | Upper Bound |
15.350a | .204 | 14.940 | 15.760 |
Table 8 shows the mean scores for each condition in case of removing intervention of the covariate.
Table 9
Descriptive Statistics
Dependent Variable: Accuracy of the Collaborative Writing
Grouping GDGCG | Mean | Std. Deviation | N |
Google Doc | 18.82 | 1.18 | 25 |
Conventional | 14.13 | .79 | 25 |
Total | 16.47 | 2.57 | 50 |
The descriptive statistics of the GDG (N=25, SD=1.18, M=18.82) and CG (N=25,
SD=0.79, M=14.13) participants are shown in
Table 9. As a result, the GDG group performed better on the accuracy of collaborative writing, according to the obtained mean scores.
Table 10
Levene's Test of Equality of Error Variances
Dependent Variable: Accuracy of the Collaborative Writing
F | df1 | df2 | Sig. |
3.47 | 1 | 48 | .068 |
The p-value is greater than the alpha level, as shown in Table 10 (P=0.06). As a result, there has been no violation of the variances'
equality assumption. The significance of the obtained difference between mean scores is dis- cussed in Table 11.
Table 11
Tests of Between-Subjects Effects
Dependent Variable: Accuracy of the Collaborative Writing
Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial Eta Squared |
Corrected Model | 276.2a | 2 | 138.1 | 136.5 | .000 | .85 |
Intercept | 315.5 | 1 | 315.5 | 311.9 | .000 | .86 |
Covariate | 1.2 | 1 | 1.2 | 1.2 | .266 | .02 |
Grouping | 233.5 | 1 | 233.5 | 230.8 | .000 | .83 |
Error | 47.5 | 47 | 1.01 |
|
|
|
Total | 13895.05 | 50 |
|
|
|
|
Corrected Total | 323.7 | 49 |
|
|
|
|
a. R Squared = .853 (Adjusted R Squared = .847) |
|
|
|
|
The difference found between the mean scores is significant, as shown in Table 11 (P=. 000<0.05). Thus, as the results show, using Google Docs in the process of collaborative writing is effective, and students in the GD group outperformed the CG group. According to Cohen (1988), this case's partial eta-square represents a small effect size of 0.83. The co- variate's significance level is 0.26. As long as the independent variable is taken into account, this suggests that there is no meaningful rela- tionship between the covariate and the accuracy
of the collaborative writing. The covariate's effect is not significant because the p-value is higher than .05. In actuality, it accounted for 2% of the variation in the dependent variable. As a result, table 11's obtained results demon- strated that participant performances under various treatment scenarios varied signifi- cantly from one another. The findings also revealed a minor covariate intervention (the appreciable difference in accuracy between the learners' performance in the GDG and CG conditions).
Table 12
Grand Mean
Dependent Variable: Accuracy of the Collaborative Writing
|
| 95% Confidence Interval | |
Mean | Std. Error |
| |
|
| Lower Bound | Upper Bound |
16.475a | .142 | 16.189 | 16.761 |
Table 12 shows the mean scores for each condition in case of removing the intervention of the covariate.
Table 13
Descriptive Statistics
Dependent Variable: Fluency of the Collaborative Writing
Grouping | Mean | Std. Deviation | N |
Google Doc | 17.27 | 1.36 | 25 |
Conventional | 14.46 | .98 | 25 |
Total | 15.86 | 1.84 | 50 |
The descriptive statistics of the GDG (N = 25, SD = 1 36, M = 17 27), and CG (N = 25, SD
= 0 98, M = 14 46) participants are shown in
Table 13. According to the obtained mean scores, the GDG group performed better on the fluency of collaborative writing.
Table 14
Levene's Test of Equality of Error Variances
Dependent Variable: Fluency of the Collaborative Writing
F | df1 | df2 | Sig. |
.025 | 1 | 48 | .87 |
The p-value is greater than the alpha level (P=0.87), as shown in Table 14. As a result, the equality of the variances assumption has not
been broken. Table 15 will discuss whether or not the obtained difference between mean scores is significant.
Table 15
Tests of Between-Subjects Effects
Dependent Variable: Fluency of the Collaborative Writing
Source | Type III Sum of Squares | Df | Mean Square | F | Sig. | Partial Eta Squared |
Corrected Model | 116.6a | 2 | 58.3 | 54.98 | .000 | .70 |
Intercept | 377.8 | 1 | 377.8 | 356.2 | .000 | .88 |
Covariate | 17.9 | 1 | 17.9 | 16.9 | .000 | .26 |
Group types | 95.7 | 1 | 95.7 | 90.2 | .000 | .65 |
Error | 49.8 | 47 | 1.06 |
|
|
|
Total | 12751.4 | 50 |
|
|
|
|
Corrected Total | 166.5 | 49 |
|
|
|
|
a. R Squared = .701 (Adjusted R Squared = .688) |
|
|
|
|
According to Table 15, the obtained differ- ence between the mean scores is significant (P=. 000<0.05). Thus, using Wikis in the pro- cess of collaborative writing is effective, and students in the WG group outperformed those in the CG group, according to the results. Ac- cording to Cohen (1988), a small effect size is indicated by the partial eta-square for this case, which is 0.65. The covariate's significant level is 0.000. This suggests that, after adjusting for the independent variable, there is a meaningful relationship between the covariate and the flu-
ency of the collaborative writing. The covari- ate's impact is noteworthy because the p-value is less than .05. In actuality, it accounted for 26% of the variation in the dependent variable's variance. The obtained results from table 16 thus demonstrated that there are appreciable differences between the participant perfor- mances under various treatment scenarios. Ad- ditionally, the results revealed a minor covari- ate intervention (meaningful variation in flu- ency performance between learners in WG and CG conditions).
Table 16
Grand Mean Dependent Variable: Fluency of the Collaborative Writing
Mean | Std. Error | 95% Confidence Interval | |
Lower Bound | Upper Bound | ||
15.865a | .146 | 15.572 | 16.158 |
Table 16 shows the mean scores for each condition in case of removing the intervention of the covariate.
DISCUSSION
Justification for the findings of this research can be found in the traits of writing complexity. Speaking is easier than writing because there are far less constraints on writing. Written texts, which are generally shorter, use longer, more complicated words and sentences. They have more lexical variety, nominalizations, and noun-based sentences. Written texts are more lexically rich than spoken language, according to Fathi and Rahimi (2020), since they contain proportionately more lexical words than grammatical words. Students can produce written texts with observable complexity when they use Google Doc in cooperation with peers to assist them get beyond the dif- ficulties that are traditionally associated with writing complexity.
One observable aspect of Vygotsky's socio- cultural theory that is supported is the structur- ing of Google Docs. Learners who use Google Docs for writing have been observed to reflect on their own and others' language use, ask for and give clarifications to others, as well as to offer criticism and recommendations. They have also been shown to work together to address linguistic issues by supporting one another (Lee, 2010; Li, 2013, 2014; Nami & Marandi, 2014). In other words, mutuality was observed in the discussion style, which included group writing, in several investigations. They worked closely together, thus their writing would be complicated in the way that proficient language users are expected to be.
The majority of relevant research that has been done in the past has discovered findings that are similar to those of this study. The best feature of Google Docs is peer editing, which improves writing complexity through repetition (Brodahl et al., 2011; Sharp, 2009). Google
Docs is a particularly promising tool for peer collaboration and that it enables the learners to engage in useful and genuine learning activi- ties, according to Goold, Coldwell, and Craig (2010), who cited Gralla (2010) and Morales and Collins (2007) in their analysis. Riley-Huff (2010) asserts that the use of Google Docs can considerably and favorably increase group col- laboration and hence save time and effort. Ad- ditionally, Ishtaiwa and Aburezeq (2015) assert that Google Docs enhances student-student re- lationships after studying how using Google Docs affected those interactions. By comparing their work to that of their peers, giving and get- ting criticism on complex writing components, quickly transferring information, etc., the stu- dents' learning abilities could be improved.
The process of working together on a project would provide a social learning setting where less proficient peers might encourage more pro- ficient peers while also utilizing their own lin- guistic abilities. One can contend that the ZPD can be utilized to cooperatively combine the learners' talents, improving the language that is created. Other studies have shown that texts created collaboratively are more accurate than texts written alone. (Wigglesworth & Storch, 2009; Wigglesworth & Storch, 2007; Dobao,
2012; Storch, 1999, 2005). These studies used texts produced under two distinct settings (i.e., both separately and collectively). They discov- ered that cooperatively authored texts were both more accurate and of greater overall quality when compared to those written independently (well- structured and focused.
Storch (2005) investigated both the process and output of collaborative writing as well as students' views toward it. At an Australian uni- versity, she gathered data from adult ESL stu- dents enrolled in degree programs. Students could write individually or in couples. 18 pupils preferred to work in pairs, compared to 5 who preferred to work alone. She then compared the texts produced by pairs of pupils with those by
individual students. She also examined how students observed and evaluated the group writ- ing process. The results showed that pairs were able to create shorter but better texts in terms of goal fulfillment, grammatical accuracy, and structural complexity, which allowed them to perform the assignment more skillfully.
CONCLUSION
Writing is an important part of language acqui- sition. Due to the time restrictions that charac- terize in-person courses, restricting writing ed- ucation to a classroom environment would not result in the proper development of this valua- ble skill. Language instructors may now include Web 2.0 technologies into their teaching strate- gies to enhance their pedagogical approaches and their students' writing skills, owing to tech- nological improvements (Kessler et al., 2012). Students may work more effectively with their classmates utilizing Web 2.0 technologies re- gardless of where they are or when they need to complete an assignment. As a consequence, students have several opportunities to practice writing, which is critical for improving their writing skills.
Google docs is one of several technological tools that may be used to enhance students' writing. The majority of EFL students, regard- less of their level of ability, like reading digital texts to develop their language abilities, partic- ularly their writing skills. Because of its mobil- ity, affordability, and ability to be saved on their laptops or mobile devices, learning with digital texts looks to be enjoyable and effective for them. Google docs allow students to check their writing talents for free, making learning
more inexpensive. However, there are specific Google docs pages where students may access digital literature for instructional reasons. It is crit- ical for the integration of language acquisition.
As previously said, the present research aimed to compare the development of writing abilities among Iranian EFL students using Google docs as a technical tool. The study's goal was to see whether using Google docs instead of traditional teaching tactics had any influence on the writing abilities of EFL students. When compared to traditional meth- ods, the study's results indicated that this tool is fundamentally beneficial and successful at improving writing abilities. The results sup- port the hypothesis that support the use of tech- nology-based techniques in EFL writing in- struction. The results back up Zou's (2006) claim that computer technology assists in the development of writing skills and Hyland's (2002) claim that computer-mediated training may increase writing abilities.
This research adds to the body of knowledge in the area of second language acquisition by showing how the usage of Google docs as a platform for collaboration and criticism improves writing quality. This is congruent with the re- sults of Achterman (2006), who emphasized the Google docs’ role to improving the character of student engagement. Lamb (2004) came to similar results, recommending Google docs as a source that is more interesting in the writing process than the completed product. According to the study's deductions and findings, Google docs have tremendously aided individuals in improving their writing abilities by giving possibilities for online critique.
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Biodata
Zaynab Cheraghpoor is a Ph.D. Candidate of TEFL at the Department of English, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran. Her Ph.D. dissertation is on online collaborative writing tasks. She is inter- ested in research on language teaching and learning skills.
Email: zb.cheraghpour@gmail.com
Dr. Nafiseh Hosseinpour is an assistant pro- fessor of TEFL at the English Department, Falavarjan Branch, Islamic Azad University, Esfahan, Iran. She has published a number of articles on Task-based language teaching and learning, Motivation in SLA, and Discourse Analysis.
Email: nafiseh.hosseinpour@iau.ac.ir
Dr. Sajad Shafiee is an Assistant Professor of Applied Linguistics at the Department of Eng- lish, Shahrekord Branch, Islamic Azad Univer- sity, Shahrekord, Iran. He has published a good number of articles on testing and research is- sues in local and international journals. His re- search interests include testing, research, and materials development.
Email: s.shafiee@iaushk.ac.ir