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Domain-specificity of self-regulated learning processing in science and history, Contemporary Educational Psychology (2015), http://dx.doi.org/Highlights -We investigated the domain-specificity of self-regulated learning with computers.-Investigation of think-aloud protocol data supported data-driven analysis. -We found high-level strategies that were commonly predictive across domains.-Predictive validity of planning and monitoring processes differed across domains.-We provide support for our method of studying domain-specificity and learning. AbstractAs computer-based learning environments grow in prominence, so do the demands placed upon students to learn with these tools. Empirical research has shown that students who are effective at self-regulating their learning are more likely to acquire deep conceptual understanding while using these environments. However, there is a noticeable lack of research into the degree to which self-regulated learning (SRL) is domain-specific. Investigating this theoretical question about domain-specificity results in related questions about how to best capture and model SRL.To address these concerns, we randomly assigned college students to either a science or history digital library, and used think-aloud protocol (TAP) data to examine the degree to which SRL processing predicted knowledge gains, above and beyond the effects of prior knowledge. We examined multiple methods of aggregating SRL TAP data into analysis variables, to determine which would be the most predictive of learning gains, and then tested these findings using a sample from a second study. In addition, we tested whether the frequency of SRL processing differed by academic domain. We found that data-driven aggregation methods were the most effective at predicting learning gains, and that there were both intriguing similarities in SRL processing across domains (e.g., the importance of corroborating sources) as well as differences (e.g., the predictive validity of self-questioning). Our findings have implications for how to capture and model SRL processing, as well as how to foster SRL among those students who do not yet enact it effectively on their own.

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Experiential education (EE) leads to positive outcomes for K-12 students; however, such practice remains on the periphery of schools. One key to centering EE in classrooms is to do so in teacher education. This study explores what it means to delve into EE as teacher educators alongside our students in field sites far removed from traditional university classrooms. For this self-study, we analyzed instructor journal reflections, research-assistant field notes, and a collective interview transcript. From these, we developed narrative cases of our individual experiences at field sites. Cross-case analysis revealed themes rarely associated with the work of teacher education professors. Like our students, we were confronted in the field with what Christian Itin refers to as physical, social, moral, emotional, intellectual, and spiritual challenges. The shifting realities of our roles as teacher educators revealed what it means to do EE alongside our students. The experience and accompanying reflection prompted us to consider how centering experience in teacher education shifts the oft-directive and didactic nature of our work. To shift their pedagogy, teacher educators must have new images of possibility. Here, we make transparent our journey as teacher education travelers on the path of experiential education.

The proliferation of online information has not come with a commensurate growth in students’ ability to learn from that information. Today’s students may be digitally native online communicators, but many lack the knowledge and skills necessary to navigate, find, and integrate online information into coherent understanding. Students who are able to plan their learning, enact effective strategies, and monitor and control their learning (i.e., self-regulated learning knowledge and skills) are more likely to successfully manage the wealth of information online. Unfortunately, there is little coherent literature on how high school teachers can foster students’ online self-regulatory knowledge and skills, and even less on how this can be done across academic domains. In this paper, we synthesize the self-regulated learning literature to distill key aspects of classroom-based innovations that teachers can use to foster their students’ learning online, within and across academic domains.

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