From: Past, present, and future of smart learning: a topic-based bibliometric analysis
Topic label | % | Z | p | S | Trend |
---|---|---|---|---|---|
Interactive and multimedia learning | 5.38 | -0.36 | 0.7212 | -12 | ↑ |
STEM education | 3.82 | 2.69 | 0.0071 | 84 | ↑↑↑ |
Attendance and attention recognition | 4.15 | 1.65 | 0.0980 | 52 | ↑ |
Blended learning for smart learning | 6.64 | 3.02 | 0.0026 | 94 | ↑↑↑ |
Affective and biometric computing | 3.54 | 3.15 | 0.0016 | 98 | ↑↑↑ |
Collaborative inquiry-based learning | 5.09 | 1.52 | 0.1273 | 48 | ↑ |
Feedback and assessment | 3.61 | 0.94 | 0.3468 | 30 | ↑ |
Infrastructure for smart learning | 3.55 | 1.52 | 0.1273 | 48 | ↑ |
Smart learning analytics | 3.66 | 3.47 | 0.0005 | 108 | ↑↑↑↑ |
Semantics and ontology | 3.94 | 0.42 | 0.6732 | 14 | ↑ |
Software engineering for e-learning systems | 4.50 | 3.86 | 0.0001 | 120 | ↑↑↑↑ |
Apps for smart learning | 3.01 | 2.82 | 0.0048 | 88 | ↑↑↑ |
Augmented and virtual reality | 3.95 | 1.91 | 0.0556 | 60 | ↑ |
Sensor and wireless | 3.17 | 1.14 | 0.2561 | 36 | ↑ |
Context-aware services | 3.42 | 0.81 | 0.4173 | 26 | ↑ |
Mobile learning | 8.26 | 0.29 | 0.7703 | 10 | ↑ |
MOOCs and course content management | 5.43 | 3.08 | 0.0021 | 96 | ↑↑↑ |
Smart learning for special needs education | 4.81 | -2.04 | 0.0410 | -64 | ↓↓ |
IoT and cloud computing | 6.28 | 3.93 | 0.0001 | 122 | ↑↑↑↑ |
Ecosystem and ambient intelligence | 5.70 | 2.95 | 0.0032 | 92 | ↑↑↑ |
English and language learning | 4.54 | 1.78 | 0.0744 | 56 | ↑ |
RFID and laser techniques | 3.55 | -0.49 | 0.6265 | -16 | ↓ |