HCFeb 10, 2021

Characterizing the Online Learning Landscape: What and How People Learn Online

arXiv:2102.05268v118 citations
Originality Synthesis-oriented
AI Analysis

This work provides a broad characterization of online learning for researchers and educators, but it is incremental as it builds on existing survey methods without introducing new paradigms.

The study characterized the landscape of online learning experiences through a national survey of 2260 US adults, finding a core set of shared experiences among most online learners and identifying opportunities for innovation outside this core.

Hundreds of millions of people learn something new online every day. Simultaneously, the study of online education has blossomed within the human computer interaction community, with new systems, experiments, and observations creating and exploring previously undiscovered online learning environments. In this study we endeavor to characterize this entire landscape of online learning experiences using a national survey of 2260 US adults who are balanced to match the demographics of the U.S. We examine the online learning resources that they consult, and we analyze the subjects that they pursue using those resources. Furthermore, we compare both formal and informal online learning experiences on a larger scale than has ever been done before, to our knowledge, to better understand which subjects people are seeking for intensive study. We find that there is a core set of online learning experiences that are central to other experiences and these are shared among the majority of people who learn online. We conclude by showing how looking outside of these core online learning experiences can reveal opportunities for innovation in online education.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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