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Rural teachers and educators are increasingly called upon to build partnerships with families who use languages other than English in the home (US DOE, 2016). This is equally true for rural schools, where the number of multilingual families is small, and the language and cultural backgrounds of students differs from those of school. This article reviews the research on parental involvement and three common models of parental involvement. In this article, I propose a revised conceptual model for teachers and educators for rural multilingual family engagement. This article calls for increasingly refined research that addresses the sociohistorical backgrounds of families and the current sociopolitical context of multilingual family engagement. Ultimately, rural multilingual family engagement is predicated on differentiated practices, relational trust between educators and families, and attention to geospatial variation.

Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of time, place, platform, and form. In this paper we introduce the iCollab platform, an adaptive environment where learning activities are moderated through conversation with an intelligent agent who can operate across multiple web-based platforms, integrating formal and informal learning opportunities. Fifty-eight undergraduate computer science students were randomly assigned to either an intervention or control group for the 12 weeks of the pilot study. Learning analytics were used to examine their interactions with iCollab, while their course performance investigated the impact of using iCollab on learning outcomes. Results from the study showed a high level of interaction with iCollab, especially social interaction, indicating an interweaving of formal learning within their informal network spaces. These findings open up new possibilities for ways that SLEs can be designed to incorporate different factors, improving the ability of the system to provide adaptive and personalised learning experiences in relation to context and time.

Recent scholarly discussions about massive open online courses (MOOCs) highlight pedagogical and practical issues that separate MOOCs from other learning settings, especially how theories of learning translate to MOOC students' motivation, participation, and performance. What is missing from these discussions is the purpose of the MOOC. We report a comparative study of two MOOCs that differ in educational purpose, but are similar in design. Our sample consisted of 983 students in a professional development MOOC, and 648 students in a MOOC focused on general interest. We first report differences between the two MOOCs, in terms of student demographics, achievement motivation, and participation. For each MOOC, we ran a two-stage regression analysis to determine the extent to which motivation variables (stage 1) and participation variables (stage 2) predicted performance. Patterns in demographic background and motivation differed in ways that were consistent with the MOOCs' purposes. Motivation and participation predicted performance, but this relationship differed between the two MOOCs and reflected the patterns of participation. Professional development motivation contributed to final grade in the professional development MOOC, but not the general interest MOOC. The findings have implications for how MOOC designers think about their target audience, and for students who aim for high final grades.

Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of time, place, platform, and form. In this paper we introduce the iCollab platform, an adaptive environment where learning activities are moderated through conversation with an intelligent agent who can operate across multiple web-based platforms, integrating formal and informal learning opportunities. Fifty-eight undergraduate computer science students were randomly assigned to either an intervention or control group for the 12 weeks of the pilot study. Learning analytics were used to examine their interactions with iCollab, while their course performance investigated the impact of using iCollab on learning outcomes. Results from the study showed a high level of interaction with iCollab, especially social interaction, indicating an interweaving of formal learning within their informal network spaces. These findings open up new possibilities for ways that SLEs can be designed to incorporate different factors, improving the ability of the system to provide adaptive and personalised learning experiences in relation to context and time. [ABSTRACT FROM AUTHOR]