
doi: 10.1075/scl.69.02flo
This chapter discusses various language learning theories underpinning data-driven learning, namely the noticing hypothesis, constructivist learning and Vygotskyan sociocultural theories. A variety of pedagogic initiatives are used to illustrate the relationship between data-driven learning and language learning theories. The paper also reports on experimental studies which examine students’ performance in relation to these three language learning theories as well as learning style preferences. The general consensus from these experimental studies is that while data-driven learning shows promise, additional larger-scale studies of a longitudinal nature are needed to give a more in-depth picture of its beneficial effects.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 79 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
