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Vitomir Kovanovic <[log in to unmask]>
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Vitomir Kovanovic <[log in to unmask]>
Tue, 3 Dec 2019 05:17:56 +0000
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Hi all,

I have a pleasure to invite you to SoLAR's Webinar with Dr. Laura K. Allen from the University of New Hampshire "Leveraging Writing Analytics for a More Personalized View of Student Performance". See the details of Dr. Allen's talk below.

To register, go to

Time and date: Wed December 11, 2019, 11:00 am - 12:00 pm Eastern US time (11 Dec 4-5 pm UK, 5-6 pm Central European)
Location: Zoom (meeting URL provided in the registration email)

(Also, make sure you follow SoLAR's Eventbrite page<> to get updates for the future events).

We are looking forward to seeing you at the webinar!

Leveraging Writing Analytics for a More Personalized View of Student Performance

Wed 11 Dec 2019
11:00 am - 12:00 pm Eastern Daylight Time (via Zoom)

Researchers and educators have developed computer-based tools, such as automated writing evaluation (AWE) systems, to increase opportunities for students to produce natural language responses in a variety of contexts and subsequently to alleviate some of the pressures facing writing instructors due to growing class sizes. Although a wealth of research has been conducted to validate the accuracy of the scores provided by these systems, much less attention has been paid to the pedagogical and rhetorical elements of the systems that use these scores. In this webinar, I will provide an overview of case studies wherein writing analytics principles have been applied to educational data. I will provide an overview of multi-methodological approaches to writing analytics that rely on natural language processing techniques to investigate the properties of students' essays across multiple linguistic dimensions. This approach focuses on the notion that there are multiple linguistic dimensions of the texts that students produce. Some surface-level features relate to the characteristics of the words and sentences in texts and can alter the style of the essay, as well as influence its readability and perceived sophistication. Further, discourse-level features can be calculated that go beyond the words and sentences. These features reflect higher-level aspects of the writing such as the degree of narrativity in the essay. Webinar attendees will gain a sense of both the conceptual issues and practical concerns involved in developing and using writing analytics tools for the analysis of multi-dimensional natural language data.

Dr. Laura K. Allen<> is an Assistant Professor of Psychology at the University of New Hampshire. She earned a B.A. in English Literature and Foreign Languages from Mississippi State University (2010), followed by a M.A. (2015) and Ph.D. from Arizona State University (2017). The principal aim of Dr. Allen's research has been to theoretically and empirically investigate the higher-level cognitive skills that are required for successful text comprehension and production, as well as the ways in which performance in these domains can be enhanced through strategy instruction and training. This line of research has been accompanied by a second line of work that explores how educational technologies can be leveraged to facilitate learning. The overall goal of this research is to develop educational technologies and methodologies that will have a broad impact on current practices in writing research and instruction across multiple dimensions.

Kind regards,

Dr Vitomir KovanoviŠ
Research Fellow, School of Education, University of South Australia
Data Scientist, Teaching Innovation Unit, University of South Australia
Visiting Researcher, LINK Lab, University of Texas Arlington, USA
Secretary, Society for Learning Analytics Research (SoLAR)
Academic Editor (Education, Pedagogy), PLOS One

University of South Australia<>
GPO Box 2471, Adelaide SA 5001
CRICOS Provider Number 00121B

Office: City West Campus Room BH3-21<>
Phone: +61 8 830 27377<tel:+61883027377>

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