Measuring What Matters in a Digital Age: Technology and the Design of Assessments for Multisource Comprehension

Pellegrino, James W.

doi:10.1007/978-1-4614-3329-3_17

Cited by 5 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One potential is for learning analytics to facilitate a shift away from the summative assessment of artefacts produced. Instead, learning analytics might facilitate more process-based assessments such as choice based assessments, that explore the meaningful choices that students make in completing tasks (Schwartz & Arena, 2013), and the processes undertaken in 'performance assessments' of authentic tasks (Benjamin et al, 2009;Darling-Hammond & Adamson, 2010;Linn, Baker, & Dunbar, 1991;Pellegrino, 2013;Stecher, 2010). New forms of feedback can thus make use of the trace data in "data-rich" learning (Pardo, 2017).…”

Section: Models For Transforming Assessment With Learning Analyticsmentioning

confidence: 99%

Augmenting Assessment with Learning Analytics

Knight

2020

The Enabling Power of Assessment

View full text Add to dashboard Cite

Learning analytics as currently deployed has tended to consist of large-scale analyses of available learning process data to provide descriptive or predictive insight into behaviours. What is sometimes missing in this analysis is a connection to human-interpretable, actionable, diagnostic information. To gain traction, learning analytics researchers should work within existing good practice particularly in assessment, where high quality assessments are designed to provide both student and educator with diagnostic or formative feedback. Such a model keeps the human in the analytics design and implementation loop, by supporting student, peer, tutor, and instructor sense-making of assessment data, while adding value from computational analyses.

show abstract

Section: Models For Transforming Assessment With Learning Analyticsmentioning

confidence: 99%

Augmenting Assessment with Learning Analytics

Knight

2020

The Enabling Power of Assessment

View full text Add to dashboard Cite

show abstract

“…Although none of the articles in this issue focus on the uses of technology to aid in various facets of assessment design, use, scoring and/or interpretation, it is difficult to imagine effective and valid assessment of many of the learning performances implied in the NRC Framework for K‐12 science education without the aid of technology (see Pellegrino, 2012). In fact, across multiple disciplines, technologies have expanded the phenomena that can be investigated, the nature of argumentation, and the use of evidence.…”

Section: Affordances Of Technologymentioning

confidence: 99%

Assessment of science learning: Living in interesting times

Pellegrino

2012

J Res Sci Teach

Self Cite

View full text Add to dashboard Cite

Beginning with a reference to living in a time of both uncertainty and opportunity, this article presents a discussion of key areas where shared understanding is needed if we are to successfully realize the design and use of high quality, valid assessments of science. The key areas discussed are:(1) assessment purpose and use, (2) the nature of assessment and the importance of research on learning, (3) assessment design processes, (4) validity arguments, (5) measurement and statistical inference, (6) affordances of technology, and (7) systems of assessment. After introducing each vital area, the article discusses how each of the five articles in the special issue is connected to the areas. Concluding comments emphasize the reminder that despite the large amount of work to be done, we are well positioned to realize the high quality, valid science education assessments that we need for K-16 science education. ß

show abstract

The Impact of Mobile Learning on Assessment and Evaluation

Woodill¹,

Udell²

2014

Mastering Mobile Learning

View full text Add to dashboard Cite

Measuring What Matters in a Digital Age: Technology and the Design of Assessments for Multisource Comprehension

Cited by 5 publications

References 28 publications

Augmenting Assessment with Learning Analytics

Augmenting Assessment with Learning Analytics

Assessment of science learning: Living in interesting times

The Impact of Mobile Learning on Assessment and Evaluation

Contact Info

Product

Resources

About