Environment-Triggered Microlearning
| Autor: | Fiona Draxler |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050101 languages & linguistics
Vocabulary Computer science 4. Education Learning environment media_common.quotation_subject 05 social sciences Context (language use) 02 engineering and technology Microlearning Language acquisition Session (web analytics) Learning experience Human–computer interaction Mental state 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences media_common |
| Zdroj: | MobileHCI (Extended Abstracts) |
| Popis: | In ubiquitous (micro)learning, any place is a potential learning environment, be it a couch at home or a noisy place in public. For an optimal experience, learning should, therefore, be adjusted to the learner’s environment and needs in a specific environment, e.g., with respect to available attentional resources. At the same time, changing environments provide a unique opportunity as a source of immediately relevant learning material, e.g., context-based vocabulary in language learning. In my thesis, I explore environment-triggered learning from both perspectives. I investigate how a learner’s physical location or mental state can trigger learning activities at a suitable moment and keep learners engaged. On the content side, I investigate how session content can be matched to the learner’s surroundings. In these two areas, I conceptualize and evaluate tools that utilize context to improve the environment-based learning experience. This paper is presented at MobileHCI 2020 Doctoral Consortium. |
| Databáze: | OpenAIRE |
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