Research on Process Structure for Distributed, Asynchronous Collaborative Writing Groups

Curtis

Journal of Business Communication

2004

267

164

This article provides a taxonomy of, nomenclature for, and discussion of issues related to collaborative writing. The goal is to enhance its research, improve its application in academia and industry, and help produce technologies that better support collaborative writing. To write collaboratively and build supportive technologies, practitioners and academics need to use a consistent nomenclature and taxonomy of collaborative writing. This article defines key collaborative writing terms and builds a taxonomy, including collaborative writing activities, strategies, control modes, work modes, and roles. This article stresses that effective choices in group awareness, participation, and coordination are critical to successful collaborative writing outcomes, and that these outcomes may be promoted through collaborative writing software, chat software, face-to-face meetings, and group processes.

Section: Taxonomy To Technologymentioning

confidence: 99%

Building a Taxonomy and Nomenclature of Collaborative Writing to Improve Interdisciplinary Research and Practice

Curtis

Journal of Business Communication

2004

267

164

Proceedings of the 6th International Conference on Computer Supported Education

“…Regarding the organisation of IMS LD which is hierarchically structured, asynchronous collaborative authoring with implicit coordination was considered suitable. Former research has proved that implicit coordination is more suitable for hierarchical tasks or documents rather than explicit coordination (Lowry, 2002;Lowry et al, 2005). Hence, we hypothesise that learning designers do not need intensive communication for coordination.…”

Section: Research Questionsmentioning

confidence: 90%

The Granularity of Collaborative Work for Creating Adaptive Learning Resources

Nurjanah

2014

Recent developments in the field of learning systems have led to adaptive learning which considers learner models when performing pedagogical decisions. Problems emerge in providing knowledge spaces of adaptive learning systems. As a knowledge space consists of pedagogical model, learner model, and adaptation model, teachers need much effort to create it. This paper focuses on the authoring of the knowledge spaces of adaptive learning systems and proposes a collaborative authoring approach for creating pedagogical, learner, and adaptation models. The proposed approach combines asynchronous collaborative work with Notes and History to support implicit coordination and workspace awareness. It applies IMS Learning Design to represent the aforementioned models. To validate it, qualitative and quantitative experiments were conducted. The experiment results indicated the high granularity of authoring, which means that learning designers can efficiently and effectively work in an asynchronous collaborative environment with Notes and History.

“…Such facilitated recall procedure does not occur either in the Delphi or the NGT, but publications suggested that compared to unstructured interventions, participants recall the relevant parameters better when procedures are structured during the thinking, visualizing and estimating stage of the interaction with the facilitator [31,32]. Considering that people with motivation or training have been reported to perform better in group interactions [30], we motivated our participants by explaining that they were selected for this discussion from the entire village, and that the information they provided would help develop the right kind of health insurance benefits for them and the entire village.…”

Section: Methodsmentioning

confidence: 99%

“…Delphi and NGT have been found superior to interacting groups for finding solutions to problems [26], but when group interactions were structured to enhance exchanges among the participants during thinking, visualizing and estimating, results were better than with unstructured interactions [31,32]. Moreover, Van de Ven and Delbecq [27] found that the most optimal group processes occurred when a structured procedure entailed interactive discussions after the initial exposé of ideas/views.…”

Section: Introductionmentioning

confidence: 99%

Illness Mapping: a time and cost effective method to estimate healthcare data needed to establish community-based health insurance

Binnendijk

Gautham

Koren

et al. 2012

BMC Med Res Methodol

BackgroundMost healthcare spending in developing countries is private out-of-pocket. One explanation for low penetration of health insurance is that poorer individuals doubt their ability to enforce insurance contracts. Community-based health insurance schemes (CBHI) are a solution, but launching CBHI requires obtaining accurate local data on morbidity, healthcare utilization and other details to inform package design and pricing. We developed the “Illness Mapping” method (IM) for data collection (faster and cheaper than household surveys).MethodsIM is a modification of two non-interactive consensus group methods (Delphi and Nominal Group Technique) to operate as interactive methods. We elicited estimates from “Experts” in the target community on morbidity and healthcare utilization. Interaction between facilitator and experts became essential to bridge literacy constraints and to reach consensus.The study was conducted in Gaya District, Bihar (India) during April-June 2010. The intervention included the IM and a household survey (HHS). IM included 18 women’s and 17 men’s groups. The HHS was conducted in 50 villages with1,000 randomly selected households (6,656 individuals).ResultsWe found good agreement between the two methods on overall prevalence of illness (IM: 25.9% ±3.6; HHS: 31.4%) and on prevalence of acute (IM: 76.9%; HHS: 69.2%) and chronic illnesses (IM: 20.1%; HHS: 16.6%). We also found good agreement on incidence of deliveries (IM: 3.9% ±0.4; HHS: 3.9%), and on hospital deliveries (IM: 61.0%. ± 5.4; HHS: 51.4%). For hospitalizations, we obtained a lower estimate from the IM (1.1%) than from the HHS (2.6%). The IM required less time and less person-power than a household survey, which translate into reduced costs.ConclusionsWe have shown that our Illness Mapping method can be carried out at lower financial and human cost for sourcing essential local data, at acceptably accurate levels. In view of the good fit of results obtained, we assume that the method could work elsewhere as well.