Collaborative Writing in L1 School Contexts: A Scoping Review

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A Data Mining Toolbox for Collaborative Writing Processes

Collaborative writing (CW) is an essential skill in academia and industry. Providing support during the process of CW can be useful not only for achieving better quality documents, but also for improving the CW skills of the writers. In order to properly support collaborative writing, it is essential to understand how ideas and concepts are developed during the writing process, which consists of a series of steps of writing activities. These steps can be considered as sequence patterns comprising both time events and the semantics of the changes made during those steps. Two techniques can be combined to examine those patterns: process mining, which focuses on extracting process-related knowledge from event logs recorded by an information system; and semantic analysis, which focuses on extracting knowledge about what the student wrote or edited. This thesis contributes (i) techniques to automatically extract process models of collaborative writing processes and (ii) visualisations to describe aspects of collaborative writing. These two techniques form a data mining toolbox for collaborative writing by using process mining, probabilistic graphical models, and text mining. First, I created a framework, WriteProc, for investigating collaborative writing processes, integrated with the existing cloud computing writing tools in Google Docs. Secondly, I created new heuristic to extract the semantic nature of text edits that occur in the document revisions and automatically identify the corresponding writing activities. Thirdly, based on sequences of writing activities, I propose methods to discover the writing process models and transitional state diagrams using a process mining algorithm, Heuristics Miner, and Hidden Markov Models, respectively. Finally, I designed three types of visualisations and made contributions to their underlying techniques for analysing writing processes. All components of the toolbox are validated against annotated writing activities of real documents and a synthetic dataset. I also illustrate how the automatically discovered process models and visualisations are used in the process analysis with real documents written by groups of graduate students. I discuss how the analyses can be used to gain further insight into how students work and create their collaborative documents

Sharing practice, problems and solutions for institutional change

This chapter critiques the roles of different forms of representation of practice as part of an institutional change process. It discusses how these representations can be used both to design and to share learning activities at the various levels of decision-making in a university. We illustrate our arguments with empirical data gathered on change processes associated with an institution-wide change programme: the introduction of a new virtual learning environment (VLE). In particular, we describe a case study of the introduction of the VLE tools in a business course. We focus on two particular forms of representations to describe the essence of the innovation: a pedagogical pattern and a visual learning design. We argue that pedagogical patterns and learning design have emerged as parallel approaches to describing practice in recent years. Despite their very different origins, both provide complementary representations, which emphasize different aspects of the practice being described. We are attempting to combine these approaches. We briefly outline the Open University Learning Design initiative, of which this work is part, and describe its key underpinning philosophies. We believe our approach provides a vehicle for enabling a better articulation of design principles and the discussion of issues concerning the re-use of educational resources and activities

CONSTRUCTION EDUCATION REQUIREMENTS FOR ACHIEVING LEVEL 2 AND 3 BIM

The Architecture Engineering Construction (AEC) Industry is well noted for its fragmented nature, leading to several flaws in communication and information processing, which have led to a proliferation of adversarial relationships amongst project participants, thereby affecting the integrity of design information throughout the project life cycle. Likewise, Construction Education is bedevilled by multitudinous issues due to its practice-based, interdisciplinary nature of the industry, its professional and institutional history, and its evolving context and composition. These challenges have influenced the purpose of construction as well as the requirements or strategies needed to achieve it. The purpose of this paper is to examine the nature of Construction Education and learning requirements for successful training and implementation of Level 2 (with the aid of a process map) and also of Level 3, to meeting the ever-changing nature of the AEC industry. This process map seeks to identify the educational requirements for existing industry practitioners and for fresh graduates entering into the industry. In order to achieve this aim, a case study methodology was adopted using semi-structured interviews with BIM experts in purposively selected organisations in the UK, which were further analysed using single case narrative and cross-case synthesis techniques. The BIM sub-processes at each project phase of the construction process were extracted from the interviews conducted. Then the process map linking all the BIM activities in the project was developed. In conclusion, the process map formalises the knowledge and skills set required to successfully implement Level 2 and 3 BIM, facilitating project collaboration, communication flow and agreement amongst project participants on construction processes throughout the project lifecycle. The finding of this research are highly aligned with the seminal literature which argued that new skills required for the creation and management of a BIM model fall into the three categories of technological tools, organisational processes, and project team roles and responsibilities, and that these three skill sets contribute to the success of the entire BIM project and adoption in any organisation

Supporting collaborative writing in secondary Language Arts: A revision decision method intervention

Much of the research on digital collaborative writing focuses on undergraduate and graduate writers, yet under-studied high school students also need 21st century literacies for academic and workplace success. To meet this need, educators require interventions supporting high school students’ collaborative writing skills development. A substantial body of research has established the efficacy of scripting during digital collaborative tasks. Yet less is known about the effect of digital collaborative writing scripts upon high school students. In this quasi-experimental study, one high school Language Arts class engaged in a revision decision method intervention script for collaborative writing. This treatment group was compared with students writing collaboratively with a business-as-usual control approach. Using a mixed methods design, this study investigated and found that the revision decision method increased the treatment group students’ revision depth, but that it did not affect their metacognitive regulation, and ownership feelings. Self-generated scripts used by high school students under the control condition represented a more cooperative approach to collaborative writing that was dominated by superficial revision targets. Implications include that scaffolding high school collaborative writers may benefit from providing metalanguage for reflection, as well as the possibility that high school collaborative writing might promote success at peer review processes that transfer to other writing modes. The study’s strengths and weaknesses in overall design may help to provide additional direction in future research on strategies to support high school collaborative writers’ success

You Help Me, He Helps You: Dispute Systems Design in the Sharing Economy

Kulp and Kool discuss the potential for dispute resolution schemes in a sharing economy, one they argue involves a more efficient use of resources. The sharing economy is at the nexus of fast-paced technology that connects people to previously inaccessible resources to increase local consumption. Kulp and Kool argue that such sharing economies maximize the benefits of ownership by leveraging goods and services into a resource generator allowing increased access to goods and services at a lower-than-market rate. This unique market structure requires a distinct set of laws to address the unique relationships involved, and this Article explores how attorneys can best assist in managing conflicts in a sharing economy