Progress and Challenges for Automated Scoring and Feedback Systems for Large-Scale Assessments

Whitelock, Denise; Bektik, Duygu

doi:10.1007/978-3-319-53803-7_39-1

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Real-time analytics in learning systems are thought to be especially effective for learning improvement, for instance in areas like reading and writing, where learners can profit from immediate feedback (Whitelock and Bektik 2018). For instance, Shimada et al (2018a, b) developed a system that tracks and analyses online readings in real-time.…”

Section: Empirical Evidence From Learning Analytics Researchmentioning

confidence: 99%

Putting learning back into learning analytics: actions for policy makers, researchers, and practitioners

Gibson

Prasse

Shimada

et al. 2020

Education Tech Research Dev

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This paper is based on (a) a literature review focussing on the impact of learning analytics on supporting learning and teaching, (b) a Delphi study involving international expert discussion on current opportunities and challenges of learning analytics as well as (c) outlining a research agenda for closing identified research gaps. Issues and challenges facing educators linked to learning analytics and current research gaps were organised into four themes, the further development of which by the expert panel, led to six strategy and action areas. The four themes are 1. development of data literacy in all stakeholders, 2. updating of guiding principles and policies of educational data, 3. standards needed for ethical practices with data quality assurance, and 4. flexible user-centred design for a variety of users of analytics, starting with learners and ensuring that learners and learning is not harmed. The strategies and actions are outcomes of the expert panel discussion and are offered as provocations to organise and focus the researcher, policymaker and practitioner dialogs needed to make progress in the field.

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Section: Empirical Evidence From Learning Analytics Researchmentioning

confidence: 99%

Putting learning back into learning analytics: actions for policy makers, researchers, and practitioners

Gibson

Prasse

Shimada

et al. 2020

Education Tech Research Dev

View full text Add to dashboard Cite

show abstract

“…Given the on-going developments in computer technology, data analytics, and artificial intelligence, there are advances in automated assessment systems, which may facilitate the feasibility, objectivity, reliability, and validity of the assessment of written prose as well as providing instant feedback during learning processes (Whitelock & Bektik, 2018). Accordingly, automated essay grading (AEG) systems, or automated essay scoring (AES systems, are defined as a computer-based process of applying standardized measurements on open-ended or constructed-response textbased test items.…”

Section: Introductionmentioning

confidence: 99%

Automated Essay Scoring Systems

Ifenthaler

2022

Handbook of Open, Distance and Digital Education

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Essays are scholarly compositions with a specific focus on a phenomenon in question. They provide learners the opportunity to demonstrate in-depth understanding of a subject matter; however, evaluating, grading, and providing feedback on written essays are time consuming and labor intensive. Advances in automated assessment systems may facilitate the feasibility, objectivity, reliability, and validity of the evaluation of written prose as well as providing instant feedback during learning processes. Measurements of written text include observable components such as content, style, organization, and mechanics. As a result, automated essay scoring systems generate a single score or detailed evaluation of predefined assessment features. This chapter describes the evolution and features of automated scoring systems, discusses their limitations, and concludes with future directions for research and practice.

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Issues and Challenges for Implementing Writing Analytics at Higher Education

Bektik

2019

Utilizing Learning Analytics to Support Study Success

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Progress and Challenges for Automated Scoring and Feedback Systems for Large-Scale Assessments

Cited by 4 publications

References 25 publications

Putting learning back into learning analytics: actions for policy makers, researchers, and practitioners

Putting learning back into learning analytics: actions for policy makers, researchers, and practitioners

Automated Essay Scoring Systems

Issues and Challenges for Implementing Writing Analytics at Higher Education

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