ORCID
- Geraldine Gray: 0000-0002-9694-2558
Abstract
A persistent challenge for the learning analytics community is how to achieve a meaningful impact on educational practice. This paper proposes that Porter’s Value Chain framework provides a useful lens for addressing this challenge. This study developed operational definitions of a Learning Analytics Value Chain and mapped learning analytics research output (3,720 publications) over the last 16 years to its five stages: 1. Concept Development, 2. Prototyping & Efficacy, 3. Evaluation, 4. Dissemination, and 5. Impact & Iteration. SoLAR supported learning analytics venues show heavy concentration in Prototyping & Efficacy (41.5-43.2%) and Evaluation (43.4-53.4%), with minimal Dissemination (0.1-3.8%) and Impact & Iteration (2.8-6.1%) research. Non-SoLAR supported research demonstrates a slightly more balanced distribution, specifically, higher Concept Development (22.5% vs. 0-6.7%) and Dissemination (9.0% vs. 0.1-3.8%) emphasis. These findings suggest that achieving impact has been hampered by insufficient research examining how innovations reach educators. The 470-fold difference between evaluation (46.7%) and dissemination research (0.1%) represents a critical missing piece of the research landscape. The field has developed strong technical capabilities while neglecting implementation science and scaling strategies. Addressing the impact gap requires portfolio re-balancing toward dissemination research, longitudinal studies, and theoretical development rather than continued technical emphasis alone.
Keywords
evaluation, implementation, learning analytics, Value chain
DOI Link
Publication Date
2026-04-26
Event
16th International Conference on Learning Analytics and Knowledge, LAK 2026
Publication Title
16th International Learning Analytics and Knowledge Conference, LAK 2026
Publisher
Association for Computing Machinery (ACM)
ISBN
9798400720666
First Page
793
Last Page
801
Deposit Date
2026-09-24
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional Links
Recommended Citation
Lang, Charles; Kong, Yunxi; Gray, Geraldine; and Gao, Jie, "The Learning Analytics Value Chain" (2026). Research Outputs: 2025-Present. 12.
https://arrow.tudublin.ie/itbinfo2ro/12