CLICKSTREAM: Essential Educational Infrastructure to Promote Student Learning and Educational Theory Development

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Title: CLICKSTREAM: Essential Educational Infrastructure to Promote Student Learning and Educational Theory Development
Language: English
Authors: Matthew L. Bernacki, Robert D. Plumley, Digital Promise, Empirical Education Inc., Institute of Education Sciences (ED)
Source: Digital Promise. 2026.
Availability: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
Peer Reviewed: N
Page Count: 20
Publication Date: 2026
Document Type: Reports - Descriptive
Education Level: Elementary Secondary Education
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Learning Theories, Learning Analytics, Educational Assessment, Student Evaluation, Instructional Design, Elementary Secondary Education, Teaching Methods, Identification, At Risk Students, Decision Making, Educational Research, Artificial Intelligence
Abstract: Theories of learning often frame the student's journey as a "hero's quest," yet capturing these idiosyncratic narratives at scale remains a grand challenge for educators. This paper introduces CLICKSTREAM (Cyberinfrastructure for Learning Insights & Curricular Knowledge using Student Trace-data for Research in Educational Analytics & Measurement), a digital learning platform (DLP) designed to transform raw student interaction data into rich, context-aware "stories." Unlike traditional platforms, CLICKSTREAM utilizes a collaborative co-design process where instructors tag digital assets (e.g., videos, quizzes) based on their specific role within a course's instructional design and timeline. This enrichment allows for: (1) Instructional Adaptivity: Providing "design-loop" and "step-loop" insights that help instructors adjust teaching strategies in real-time or between semesters; (2) Predictive Support: Identifying struggling students early through theory-aligned feature engineering; and (3) Theoretical Advancement: Enabling researchers to test complex assumptions of learning theories--such as self-regulated learning--across diverse contexts. By integrating artificial intelligence to automate tagging and fostering interoperability with other DLPs like OpenStax and Terracotta, CLICKSTREAM aims to build a scalable ecosystem where data-driven storytelling empowers educators to provide personalized support for every learner's unique quest.
Abstractor: As Provided
IES Funded: Yes
Entry Date: 20260101
Accession Number: ED682388
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED682388
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PubType: Report
PubTypeId: report
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  Data: CLICKSTREAM: Essential Educational Infrastructure to Promote Student Learning and Educational Theory Development
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  Data: <searchLink fieldCode="AR" term="%22Matthew+L%2E+Bernacki%22">Matthew L. Bernacki</searchLink><br /><searchLink fieldCode="AR" term="%22Robert+D%2E+Plumley%22">Robert D. Plumley</searchLink><br /><searchLink fieldCode="AR" term="%22Digital+Promise%22">Digital Promise</searchLink><br /><searchLink fieldCode="AR" term="%22Empirical+Education+Inc%2E%22">Empirical Education Inc.</searchLink><br /><searchLink fieldCode="AR" term="%22Institute+of+Education+Sciences+%28ED%29%22">Institute of Education Sciences (ED)</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Digital+Promise%22"><i>Digital Promise</i></searchLink>. 2026.
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  Data: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
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  Data: <searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Theories%22">Learning Theories</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Analytics%22">Learning Analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Assessment%22">Educational Assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Evaluation%22">Student Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Design%22">Instructional Design</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22At+Risk+Students%22">At Risk Students</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Theories of learning often frame the student's journey as a "hero's quest," yet capturing these idiosyncratic narratives at scale remains a grand challenge for educators. This paper introduces CLICKSTREAM (Cyberinfrastructure for Learning Insights & Curricular Knowledge using Student Trace-data for Research in Educational Analytics & Measurement), a digital learning platform (DLP) designed to transform raw student interaction data into rich, context-aware "stories." Unlike traditional platforms, CLICKSTREAM utilizes a collaborative co-design process where instructors tag digital assets (e.g., videos, quizzes) based on their specific role within a course's instructional design and timeline. This enrichment allows for: (1) Instructional Adaptivity: Providing "design-loop" and "step-loop" insights that help instructors adjust teaching strategies in real-time or between semesters; (2) Predictive Support: Identifying struggling students early through theory-aligned feature engineering; and (3) Theoretical Advancement: Enabling researchers to test complex assumptions of learning theories--such as self-regulated learning--across diverse contexts. By integrating artificial intelligence to automate tagging and fostering interoperability with other DLPs like OpenStax and Terracotta, CLICKSTREAM aims to build a scalable ecosystem where data-driven storytelling empowers educators to provide personalized support for every learner's unique quest.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED682388
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
    Subjects:
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Learning Theories
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      – SubjectFull: Learning Analytics
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      – SubjectFull: Educational Assessment
        Type: general
      – SubjectFull: Student Evaluation
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      – SubjectFull: Instructional Design
        Type: general
      – SubjectFull: Elementary Secondary Education
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Identification
        Type: general
      – SubjectFull: At Risk Students
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      – SubjectFull: Decision Making
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      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Artificial Intelligence
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      – TitleFull: CLICKSTREAM: Essential Educational Infrastructure to Promote Student Learning and Educational Theory Development
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