scholarly journals Automated extraction of revision events from keystroke data

2021 ◽  
Author(s):  
Rianne Conijn ◽  
Emily Dux Speltz ◽  
Evgeny Chukharev-Hudilainen
Keyword(s):  
Writing Process ◽  
High Accuracy ◽  
Computational Approach ◽  
Automatic Extraction ◽  
Manual Annotation ◽  
Automated Extraction ◽  
Computational Approaches ◽  
Process Dynamics ◽  
Writing Task

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.

scholarly journals Coding as Literacy in Preschool: A Case Study

2021 ◽  
Vol 11 (5) ◽  
pp. 198
Author(s):  
Ana Francisca Monteiro ◽  
Maribel Miranda-Pinto ◽  
António José Osório
Keyword(s):  
Elementary Education ◽  
Developmentally Appropriate ◽  
Computational Thinking ◽  
School Subject ◽  
New Literacy ◽  
Computational Approaches ◽  
Knowledge Domains ◽  
And Robotics ◽  
Initial Framework

Coding is increasingly recognized as a new literacy that should be encouraged at a young age. This understanding has recontextualized computer science as a compulsory school subject and has informed several developmentally appropriate approaches to computation, including for preschool children. This study focuses on the introduction of three approaches to computation in preschool (3–6 years), specifically computational thinking, programming, and robotics, from a cross-curricular perspective. This paper presents preliminary findings from one of the case studies currently being developed as part of project KML II—Laboratory of Technologies and Learning of Programming and Robotics for Preschool and Elementary School. The purpose of the KML II project is to characterize how approaches to computation can be integrated into preschool and elementary education, across different knowledge domains. The conclusions point to “expression and communication” as an initial framework for computational approaches in preschool, but also to multidisciplinary and more creative methodological activities that offer greater scope for the development of digital and computational competences, as well as for personal and social development.

Drama production and audiences as ‘affective superaddressee’ in an illiberal democracy

2021 ◽  
pp. 136754942110086
Author(s):  
Siao Yuong Fong
Keyword(s):  
Writing Process ◽  
Affect Theory ◽  
Media Industries ◽  
Media Production ◽  
Television Drama ◽  
Film Research ◽  
Production Decisions ◽  
Illiberal Democracy ◽  
History Of

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.

scholarly journals First principles characterisation of bio–nano interface

2021 ◽  
Author(s):  
Ian Rouse ◽  
David Power ◽  
Erik G. Brandt ◽  
Matthew Schneemilch ◽  
Konstantinos Kotsis ◽  
...  
Keyword(s):  
Titanium Dioxide ◽  
First Principles ◽  
Computational Approach ◽  
Titania Nanoparticles ◽  
Coarse Grained ◽  
First Principles Study

We present a multiscale computational approach for the first-principles study of bio-nano interactions. Using titanium dioxide as a case study, we evaluate the affinity of titania nanoparticles to water and biomolecules through atomistic and coarse-grained techniques.

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

scholarly journals A design methodology for approximate multipliers in convolutional neural networks: A case of MNIST

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Kenta Shirane ◽  
Takahiro Yamamoto ◽  
Hiroyuki Tomiyama
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Convolutional Neural Network ◽  
Design Methodology ◽  
Critical Path ◽  
High Accuracy ◽  
Path Delay ◽  
Trade Off ◽  
Critical Path Delay

In this paper, we present a case study on approximate multipliers for MNIST Convolutional Neural Network (CNN). We apply approximate multipliers with different bit-width to the convolution layer in MNIST CNN, evaluate the accuracy of MNIST classification, and analyze the trade-off between approximate multiplier’s area, critical path delay and the accuracy. Based on the results of the evaluation and analysis, we propose a design methodology for approximate multipliers. The approximate multipliers consist of some partial products, which are carefully selected according to the CNN input. With this methodology, we further reduce the area and the delay of the multipliers with keeping high accuracy of the MNIST classification.

scholarly journals Developing an Analytical Solution that Mimics Simulation Modeling for Construction Planning: Earthwork Case

2019 ◽  
pp. 552-562
Author(s):  
Waleed Shakeel ◽  
Ming Lu
Keyword(s):  
Analytical Solution ◽  
Dynamic System ◽  
Simulation Modeling ◽  
High Accuracy ◽  
Analytical Tool ◽  
Controlled Experiments ◽  
Cost Estimating ◽  
Construction Planning ◽  
Using Data

Deriving a reliable earthwork job cost estimate entails analysis of the interaction of numerous variables defined in a highly complex and dynamic system. Using simulation to plan earthwork haul jobs delivers high accuracy in cost estimating. However, given practical limitations of time and expertise, simulation remains prohibitively expensive and rarely applied in the construction field. The development of a pragmatic tool for field applications that would mimic simulation-derived results while consuming less time was thus warranted. In this research, a spreadsheet based analytical tool was developed using data from industry benchmark databases (such as CAT Handbook and RSMeans). Based on a case study, the proposed methodology outperformed commonly used estimating methods and compared closely to the results obtained from simulation in controlled experiments.

Prediction and Analysis of Safety Production Accident in Mining Based on the GM(1,1)

2014 ◽  
Vol 989-994 ◽  
pp. 3443-3446
Author(s):  
Chen Fang Jiang ◽  
Ke Peng Hou ◽  
Hua Fen Sun
Keyword(s):  
Production Management ◽  
Management Practices ◽  
Safety Management ◽  
High Accuracy ◽  
Mine Safety ◽  
Grey Theory ◽  
Procedure Code ◽  
Safety Production ◽  
Mine Accidents

According to the grey theory, in order to predict and prevent accident effectively, the paper built a grey model and forecast the mine accidents in china in 2013 based on the statistics of mine accidents happened in China during period from 2007 to 2012. MATLAB was used to write procedure code of GM (1, 1) and empirical verification follows. The prediction results show that if high accuracy goes with the precision of the calculable model, which could be used to provide the basis for decision making to the safety production management practices in China. This case study indicates that GM (1, 1) plays an important role in mine safety management.

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