Abstract
The use of multiple devices to access educational materials is becoming more prevalent, offering benefits for both formal and informal learning. However, research on college students' cross-device learning patterns and the challenges remains limited. This study employed a two-week diary study method and follow-up interviews with 36 college students. Comprehensive data were collected from 374 cross-device learning activities, including text, voice recordings, and photos, offering valuable insights into participants' cross-device learning behaviors in terms of the device ecologies, physical configurations, usage patterns, and attention issues. Regarding device ecology, students typically used two to three types of education devices, with laptops and desktops serving as primary tools, and smartphones, tablets and smartwatches as secondary aids. Physically, devices were often arranged vertically and positioned in ways that required body or head movement. The students’ usage patterns revealed a preference of completing tasks simultaneously rather than sequentially. Five key workflow patterns were identified, from most to least prevalent: integrated, partition, migrated, expanded and cloned. Common combinations of these workflows included the integrated-partition, integrated-expanded, and integrated-migrated patterns. Instant messaging applications were the most frequently used method for information and data transfer. In terms of attention issues, most participants prioritized their attention allocation. Endogenous attention shifts occurred slightly more frequently than exogenous shifts, though exogenous shifts were more disruptive to learning efficiency and motivation. These findings offer valuable insights for developing future cross-device learning platforms, particularly those focused on enhancing attention management and improving learning experiences.
| Original language | English |
|---|---|
| Article number | 105259 |
| Journal | Computers and Education |
| Volume | 229 |
| DOIs | |
| State | Published - May 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Distributed learning environments
- Human-computer interface
- Media in education
- Mobile learning
- Post-secondary education
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