Internet-Mediated Digital Informal Learning Portfolios in STEM Higher Education: A Computational Grounded Theory Study of Online Peer Advice Communities
Jianjun Xiao, Yuxi Long

TL;DR
This study analyzes how STEM students create digital informal learning portfolios through online peer advice, revealing three distinct portfolio types and the online community as a distributed informal curriculum.
Contribution
It extends Social Cognitive Career Theory to internet-mediated informal learning and introduces the concept of career front-loading in digital learning portfolios.
Findings
Three distinct digital informal learning portfolios identified.
Online peer community functions as a distributed informal curriculum.
Career front-loading reorganizes early learning pathways.
Abstract
Internet technologies have expanded higher education students' access to learning resources, peer guidance, and skill-development opportunities beyond formal curricula. Yet the ways students assemble these distributed online resources into coherent learning pathways remain insufficiently understood. This study examines how STEM students construct digital informal learning portfolios through internet-mediated peer advice and platform use. Drawing on Social Cognitive Career Theory (SCCT) and informal learning frameworks, we analyze 3,607 peer advice posts from a large online student community using Computational Grounded Theory (CGT). Results show that career pathway (69.6% of coded documents) and career orientation (59.7%) are the dominant organizing dimensions, yielding three distinct digital informal learning portfolios: a graduate-study portfolio centered on competition training,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
