Illustration of the Writing Techniques and the Writing Process according to Nation : Students of Adrar University : Ahmed Draia as a Case Study

2017 ◽  
pp. 1-19
Author(s):  
Doctorant , Halima Lakhrif ◽  
Mahieddine , Rachid
Keyword(s):  
2021 ◽  
pp. 136754942110086
Author(s):  
Siao Yuong Fong

There is a long history of television and film research that highlights the essential roles audiences play in everyday production decisions. Based largely on Western media industries, these studies’ investigations of producer–audience relationships have revolved predominantly around the market concerns of liberal media models. So how do producer–audience relationships work when it comes to illiberal contexts of media production? Using Singapore as a case study, this article argues that existing approaches to producer–audience relations largely based on liberal media industries like Hollywood are insufficient for thinking through audience power in everyday media production in illiberal contexts. Drawing on insights from affect theory, I examine the materials gathered during an immersive ethnography of the writing process of a Singaporean television drama and propose conceptualizing audiences as an ‘affective superaddressee’, as a productive way to think about the work that situational audiences do in everyday media production in illiberal contexts.


Author(s):  
Rianne Conijn ◽  
Emily Dux Speltz ◽  
Evgeny Chukharev-Hudilainen

AbstractRevision plays an important role in writing, and as revisions break down the linearity of the writing process, they are crucial in describing writing process dynamics. Keystroke logging and analysis have been used to identify revisions made during writing. Previous approaches include the manual annotation of revisions, building nonlinear S-notations, and the automated extraction of backspace keypresses. However, these approaches are time-intensive, vulnerable to construct, or restricted. Therefore, this article presents a computational approach to the automatic extraction of full revision events from keystroke logs, including both insertions and deletions, as well as the characters typed to replace the deleted text. Within this approach, revision candidates are first automatically extracted, which allows for a simplified manual annotation of revision events. Second, machine learning is used to automatically detect revision events. For this, 7120 revision events were manually annotated in a dataset of keystrokes obtained from 65 students conducting a writing task. The results showed that revision events could be automatically predicted with a relatively high accuracy. In addition, a case study proved that this approach could be easily applied to a new dataset. To conclude, computational approaches can be beneficial in providing automated insights into revisions in writing.


Author(s):  
Libi Shen ◽  
Irene Linlin Chen

Online doctoral programs have been developed rapidly over the years due to the advance of technology, and educators are seeking a new educational paradigm and innovative instructional strategies for online doctoral programs. This study presents cases of doctoral learners and dissertation mentors in online dissertation courses. The goal of this case study is to raise awareness for the need of an interactive mentor-mentee relationship in online higher education and to provide pointers and guidance for both mentors and mentees in navigating the maze of ill-structured learning. The findings of this study imply that social presence in distance education affects doctoral learners’ learning, course satisfaction, and faculty-student relationships in the dissertation writing process. This case study has implications for instructional designers and educators in infusing faculty-student interactions with technological support.


2021 ◽  
pp. 146801732110103
Author(s):  
Susanny J Beltran ◽  
Vivian J Miller ◽  
Tyrone Hamler

Summary Involvement in the political process in the United States is critical for social work professionals, as social policies dictate funding and programming in social work practice. Yet, there is little to no focus given to the regulation writing process in the social work literature in the United States. This article contributes to the scant body of knowledge that addresses the regulatory process from a social work perspective. A brief overview of the regulation writing process is provided, followed by a case study using the regulations for the U.S. Older Americans Act Long-Term Care Ombudsman Program to illustrate the process. Findings A total of 85 comments, submitted to the Federal Register docket, were analyzed using content analysis. Findings reveal that comment submissions varied greatly in terms of length, source, and input. Notably, findings indicate low participation from the social work profession. Application The open comment period of the regulation writing process offers a free, but effortful, window of opportunity for social workers to engage in post-legislative advocacy. There is a need to support the involvement of the social work profession in the regulation writing process, through practice and training enhancements.


2002 ◽  
Vol 19 (2) ◽  
pp. 21 ◽  
Author(s):  
Celine Sze

This case study investigated the revision process of a reluctant ESL student writer. It focused on revisions made at the in-process stage and at the between draft stage of the writing process in which the student revised in response to written feedback. Two writing assignments were given, and the topics varied in their degree of familiarity to the participant. Some findings corroborated those of earlier studies: the participant made more surface-level revisions than those related to structure and content; he made more revisions and high-level revisions in response to written feedback than when working on his own. Although familiarity with the topic seemed to have no effect on the revision patterns of the student, the classroom teacher's focus on form in responding to and evaluating his writing was seen to affect his attitude toward revision and use of revision strategies.


Sign in / Sign up

Export Citation Format

Share Document