This is the accepted version prior to journal formatting. The official version can found at:https://authors.elsevier.com/a/1V8wS2f~UW0xXp-->FREE COPY the end of JULY 2017. Stimulating and sustaining interest in a language course: An experimental comparison of Chatbot and Human task partners AbstractNovel technology can be a powerful tool for enhancing students' interest in many learning domains. However, the sustainability and overall impact of such interest is unclear. This study tests the longer-term effects of technology on students' task and course interest. The experimental study was conducted with students in foreign language classes (n=122): a 12-week experimental trial that included pre-and post-course interest, and a sequence of task interest measures. Employing a counterbalanced design, at three week intervals students engaged in separate speaking tasks with each of a Human and "Chatbot" partner. Students' interest in successive tasks and in the course (pre-post), were used to assess differential partner effects and course interest development trajectories. Comparisons of task interest under different partner conditions over time indicated a significant drop in students' task interest with the Chatbot but not Human partner. After accounting for initial course interest, Structural Equation Modelling indicated that only task interest with the Human partner contributed to developing course interest. While Human partner task interest predicted future course interest, task interest under Chatbot partner conditions did not. Under Chatbot partner conditions there was a drop in task interest after the first task: a novelty effect. Implications for theory and practice are discussed.

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This study represents an initial investigation of key SLT constructs in the Japanese context. Results suggest some SLT constructs are meaningful in this context, but further scale development may be desirable before more advanced modeling is employed.

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Person-centred longitudinal findings presented patterns of learning transitions that different students experience during their first year at university. Stability/variability of students' strategy use was linked to the nature of initial subgroup membership. Findings also indicated strong connections between processing and regulation strategy changes across first-year university experiences. Implications for theory and practice are discussed.

Background: The use of chatbots as learning assistants is receiving increasing attention in language learning due to their ability to converse with students using natural language. Previous reviews mainly focused on only one or two narrow aspects of chatbot use in language learning. This review goes beyond merely reporting the specific types of chatbot employed in past empirical studies and examines the usefulness of chatbots in language learning, including first language learning, second language learning, and foreign language learning. Aims: The primary purpose of this review is to discover the possible technological, pedagogical, and social affordances enabled by chatbots in language learning.Materials & Methods: We conducted a systematic search and identifies 25 empirical studies that examined the use of chatbots in language learning. We used the inductive grounded approach to identify the technological and pedagogical affordances, and the challenges of using chatbots for students' language learning. We used Garrison's social presence framework to analyze the social affordances of using chatbots in language learning Results: Our findings revealed three technological affordances: timeliness, ease of use, and personalization; and five pedagogical uses: as interlocutors, as simulations, for transmission, as helplines, and for recommendations. Chatbots appeared to encourage students' social presence by affective, open, and coherent communication. Several challenges in using chatbots were identified: technological limitations, the novelty effect, and cognitive load. Discussion and Conclusion:A set of rudimentary design principles for chatbots are proposed for meaningfully implementing educational chatbots in language learning, and detailed suggestions for future research are presented.

Formative assessment can be seen as an integral part of teaching and learning, as formative assessment affects students' learning and vice versa. Students' motivation can theoretically be placed at the centre of this reciprocal relationship, as formative assessment is assumed to affect students' need satisfaction of autonomy, competence and relatedness, and consequently their autonomous motivation. In the current study, two assumptions were tested empirically: formative assessment contributes to students' autonomous motivation and students' need satisfaction functions as a mediator in this relationship. The results provided support for those assumptions and indicated that more perceived use of formative assessment is associated with more feelings of autonomy and competence, and more autonomous motivation. The current study demonstrated the benefits of studying formative assessment as practice and provides encouragement for teachers to start applying formative assessment in their classroom. The theoretical model provides teachers with guidelines for an optimal implementation of formative assessment and provides researchers with a framework to study the phenomenon of 'formative assessment as practice' in more depth.

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