Think Different/ Think Differently: A Tale of Green Squiggly Lines, or Evaluating Student Writing in Computer-Mediated Environments

Author(s):  
Carl Whithaus
Author(s):  
Brittany Cottrill

Building on the research produced by early and current computers and writing scholars, this chapter will look at the results of an analysis of both virtual- and classroom-based texts produced by nine first-year writers, five from composition I and four from composition II courses at a mid-sized, Midwestern, public university. The research included in this chapter explores the results of how blogging affected student writing in the first-year writing classroom. Specifically, this chapter focuses on the results of this study in relation to the explicit and implicit textual signals and how these textual signals complicate communication in computer mediated environments.


2018 ◽  
Vol 60 (1) ◽  
pp. 7-16
Author(s):  
Bradley D. F. Colpitts ◽  
L’Shawn Howard

Abstract Though corrective feedback (CF) has generally been accepted as an effective means for improving student writing, some debate still exists as to whether focused (narrow) or unfocused (broad) CF is more effective in improving student writing in English as a Foreign Language (EFL) contexts. A comparative study was undertaken of two groups of high-proficiency Japanese and international students of English at one private university in the Kansai area of Japan. A third control group who did not partake in any corrective feedback were also used for comparison. Both groups of students wrote argumentative essays on a subject of their choosing over the course of eight weeks. The first group, Treatment Group A, was comprised of seven Japanese and non-Japanese university students (n = 7) who were trained in giving meta-linguistic (error coded), computer-mediated unfocused peer CF. The second group, Treatment Group B, was comprised of seven Japanese university students (n = 7) who were trained in giving meta-linguistic, computer-mediated focused feedback on five errors identified as being the most common in an initial diagnostic writing sample done in the first week. The initial draft, post-peer CF draft, post-teacher CF draft, and final draft were then analyzed. Students’ ability to correctly resolve errors, and the number of errors per 100 words that emerged in each draft were then examined. The results suggest that unfocused peer and teacher CF may be a more effective means of reducing student errors in writing, possibly because it provides more overall learning opportunities.


2020 ◽  
Author(s):  
R Adams ◽  
NA Nik Mohd Alwi ◽  
Jonathan Newton

© 2015 Elsevier Inc. Despite limitations with text chat as a mode of writing (e.g., a simplified register, short turns), researchers have argued that it offers unique advantages as a site for language practice. However, realizing these advantages in second language (L2) writing-to-learn environments may depend on whether tasks are implemented in a way that facilitates learners' attention to language form in their writing. It follows that the design and selection of appropriate tasks to use in Computer-Mediated Communication (CMC) are key issues. Inspired by the Cognition Hypothesis (. Robinson, 2005), the current study examined the role of two instructional interventions related to task implementation-the amount of task structure and inclusion of language support-in promoting accurate and complex writing via text chat by L2 learners in a classroom setting. Data were collected from 96 students performing an engineering simulation task via text chat. The learners were placed in one of four counterbalanced experimental groups. Analysis of the chat exchanges provided evidence that task complexity influenced the accuracy of student writing in line with the Cognition Hypothesis. However, the influence of task complexity on the linguistic complexity of their writing failed to match predictions of the Cognition Hypothesis.


Abjadia ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 91
Author(s):  
Albar Adetary Hasibuan

<p>Computer Mediated Communication, better known as CMC, can be used as a tool in improving students' Arabic writing skills. CMC is used because computers and networks are familiar to students now. CMC can also make learning to write Arabic more creative and innovative. The purpose of writing this article is to provide information about computer-mediated communication (CMC) and also how to apply CMC to learning to write Arabic, to improve student writing skills.</p><p dir="RTL">يمكن استخدام التواصل عبر الكمبيوتر ، المعروف باسم CMC ، كأداة لتحسين مهارات الطلاب في الكتابة باللغة العربية. يتم استخدام CMC لأن أجهزة الكمبيوتر والشبكات مألوفة لدى الطلاب الآن. يمكن أن تجعل CMC تعلم الكتابة العربية أكثر إبداعًا وابتكارًا. الغرض من كتابة هذه المقالة هو توفير معلومات حول التواصل عبر الكمبيوتر (CMC) وأيضًا كيفية تطبيق CMC على تعلم الكتابة باللغة العربية ، لتحسين مهارات كتابة الطلاب.</p>


2020 ◽  
Author(s):  
R Adams ◽  
NA Nik Mohd Alwi ◽  
Jonathan Newton

© 2015 Elsevier Inc. Despite limitations with text chat as a mode of writing (e.g., a simplified register, short turns), researchers have argued that it offers unique advantages as a site for language practice. However, realizing these advantages in second language (L2) writing-to-learn environments may depend on whether tasks are implemented in a way that facilitates learners' attention to language form in their writing. It follows that the design and selection of appropriate tasks to use in Computer-Mediated Communication (CMC) are key issues. Inspired by the Cognition Hypothesis (. Robinson, 2005), the current study examined the role of two instructional interventions related to task implementation-the amount of task structure and inclusion of language support-in promoting accurate and complex writing via text chat by L2 learners in a classroom setting. Data were collected from 96 students performing an engineering simulation task via text chat. The learners were placed in one of four counterbalanced experimental groups. Analysis of the chat exchanges provided evidence that task complexity influenced the accuracy of student writing in line with the Cognition Hypothesis. However, the influence of task complexity on the linguistic complexity of their writing failed to match predictions of the Cognition Hypothesis.


Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.


Author(s):  
David Weibel ◽  
Daniel Stricker ◽  
Bartholomäus Wissmath ◽  
Fred W. Mast

Like in the real world, the first impression a person leaves in a computer-mediated environment depends on his or her online appearance. The present study manipulates an avatar’s pupil size, eyeblink frequency, and the viewing angle to investigate whether nonverbal visual characteristics are responsible for the impression made. We assessed how participants (N = 56) evaluate these avatars in terms of different attributes. The findings show that avatars with large pupils and slow eye blink frequency are perceived as more sociable and more attractive. Compared to avatars seen in full frontal view or from above, avatars seen from below were rated as most sociable, self-confident, and attractive. Moreover, avatars’ pupil size and eyeblink frequency escape the viewer’s conscious perception but still influence how people evaluate them. The findings have wide-ranging applied implications for avatar design.


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