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 |
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