Modeling Depth of Interaction: A Neural Network Approach
One of the key elements underlying successful second language (L2) learning is the interaction with other language users in the target language (Gass & Varonis, 1985). While the expectation exists that learners will use their linguistic skills in theStudy Abroad (SA) context (e.g., Fraser 2002; Freed, 1990; 2000; Hernández, 2010; Martinsen, 2011; Mendelson 2004; Vande Berg et al., 2009, Whitworth, 2006), it is also known that many SA learners interact substantially less with native speakers (NSs) than they initially anticipate (DeKeyser, 1986; Dewey et al., 2014; Rivers, 1998; Wilkinson, 1998a, 1998b; GarcÃa-Amaya, 2017). Recent research further shows that SA learners’ target-language use decreases over a six-week SA experience (GarcÃa-Amaya, 2017; forthcoming). While interaction in the L2 is essential for achieving L2 gains, research has found that learners must negotiate meaning to notice gaps in their acquisition and benefit from their interlocutor(s)’ efforts to adjust interaction and facilitate comprehension (Long 1981, 1983, 1986).
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