Abstract: Online assessment is defined as a systematic method of gathering information about a learner and learning processes to draw inferences about ... As Provided

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Serious Game Analytics by Design: Feature Generation and Selection Using Game Telemetry and Game Metrics--Toward Predictive Model Construction

Authors : Lu, Wenyi; Griffin, Joe; Sadler, Troy D.

Subjects: Educational Games; Learning Analytics; Design

Source: Journal of Learning Analytics, v10 n1 p168-188 2023.

Abstract: The construction of prediction models reflecting players' learning performance in serious games currently faces various challenges for learningAs Provided

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Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool

Authors : Gedrimiene, Egle; Celik, Ismail; Mäkitalo, Kati

Subjects: Learning Analytics; Accountability; Trust (Psychology)Finland

Source: Journal of Learning Analytics, v10 n1 p54-70 2023.

Abstract: Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and ... As Provided

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The Promise of MOOCs Revisited? Demographics of Learners Preparing for University

Authors : Meaney, Michael J.; Fikes, Tom

Subjects: MOOCs; Ethics; Equal Education

Source: Journal of Learning Analytics, v10 n1 p113-132 2023.

Abstract: This paper leverages cluster analysis to provide insight into how traditionally underrepresented learners engage with entry-level massive open online courses (MOOCs) intended to lower the ... As Provided

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Six Practical Recommendations Enabling Ethical Use of Predictive Learning Analytics in Distance Education

Authors : Rets, Irina; Herodotou, Christothea; Gillespie, Anna

Subjects: Ethics; Learning Analytics; Evidence Based Practice

Source: Journal of Learning Analytics, v10 n1 p149-167 2023.

Abstract: The progressive move of higher education institutions (HEIs) towards blended and online environments, accelerated by COVID-19, and their access to a greater variety of student ... As Provided

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New Vistas on Responsible Learning Analytics: A Data Feminist Perspective

Authors : Pargman, Teresa Cerratto; McGrath, Cormac; Viberg, Olga

Subjects: Learning Analytics; Responsibility; Feminism

Source: Journal of Learning Analytics, v10 n1 p133-148 2023.

Abstract: The focus of ethics in learning analytics (LA) frameworks and guidelines is predominantly on procedural elements of ... As Provided

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Learning Analytics in Physics Education: Equity-Focused Decision-Making Lacks Guidance!

Authors : Grimm, Adrian; Steegh, Anneke; Kubsch, Marcus

Subjects: Physics; Science Instruction; Learning AnalyticsGermany

Source: Journal of Learning Analytics, v10 n1 p71-84 2023.

Abstract: Learning Analytics are an academic field with promising usage scenarios for many educational domains. At the same ... As Provided

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Learning Analytics and the Abolitionist Imagination

Authors : Swauger, Shea; Kalir, Remi

Subjects: Learning Analytics; Justice; Imagination

Source: Journal of Learning Analytics, v10 n1 p101-112 2023.

Abstract: This article advances an abolitionist reframing of learning analytics (LA) that explores the benefits of productive disorientation, ... As Provided

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Applying a Responsible Innovation Framework in Developing an Equitable Early Alert System: A Case Study

Authors : Patterson, Chris R.; York, Emily; Maxham, Danielle

Subjects: Learning Analytics; Innovation; School Holding PowerVirginia

Source: Journal of Learning Analytics, v10 n1 p24-36 2023.

Abstract: The anticipation, inclusion, responsiveness, and reflexivity (AIRR) framework (Stilgoe et al., 2013) is a novel framework that has helped those in science and technology fields shift ... As Provided

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Amplifying Student and Administrator Perspectives on Equity and Bias in Learning Analytics: Alone Together in Higher Education

Authors : Heiser, Rebecca E.; Stritto, Mary Ellen Dello; Brown, Allen S.

Subjects: Student Attitudes; Administrator Attitudes; Equal Education

Source: Journal of Learning Analytics, v10 n1 p8-23 2023.

Abstract: When higher education institutions (HEIs) have the potential to collect large amounts of learner data, it is important to consider the spectrum of stakeholders involved ... As Provided

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