Although research indicates that deliberate practice is indispensable for achieving high levels of proficiency and expertise in a range of disparate fields, this type of practice has largely been overlooked in the second language acquisition literature. To bridge this gap, and advocating for a more intentional and goal-directed approach to second…

The idea of data-based decision-making (DBDM) at the classroom level is that teachers use assessment data to adapt their instruction to students' individual needs and thus improve students' learning progress. In this study, we first investigate this theoretically assumed DBDM process, and second, we evaluate the effectiveness of teacher support on…

With a visionary approach to school improvement, "Equity-Based Leadership" proposes a framework to support system leaders seeking to organize change and achieve more equitable education. In this ambitious yet pragmatic work, Joshua P. Starr makes the case that intentional and attentive district leadership can bring about continuous…

This chapter describes an open learning analytics system focused on learning process measures and designed to engage instructors and students in an evidence-informed decision-making process to improve learning.

The current socio-political moment--rife with racial tensions and overt bigotry--has exacerbated longstanding racial inequities in higher education. While educational scholars have developed conceptual tools and offered data-informed recommendations for rooting out racism in campus policies and practices, this work is largely inaccessible to the…

This research involves two case studies, one in Melbourne, Australia the other in Gothenburg, Sweden, that focus on how using observation tools to gather classroom evidence of teaching and learning promoted opportunities to discuss and develop professional practice. We found that dialogues between pre-service teachers and more experienced…

One of the most challenging issues for online courseware engineering is to maintain the quality of instructional components, such as written text, video, and assessments. Learning engineers would like to know how individual instructional components contributed to students' learning. However, it is a hard task because it requires significant…

Large-scale, robust implementation of teacher data-driven decision making (DDDM) is a challenging endeavor, impeded by numerous organizational, and teacher, factors. One well-documented barrier to teacher DDDM is underdevelopment of teacher data literacy. This study examines common errors made by pre-service elementary teachers in the formulation…

The US Census Bureau estimates large numbers of adult English Language Learners (ELLs) in the US, of which only a fraction is enrolled in Adult English for Speakers of Other Languages programs. Many of these learners are emergent readers in their first language (L1) making the development of literacy in a target language challenging, yet high…

Knowledge Translation (KT) is increasingly a requirement for scholars and non-academics working in applied settings. However, few programs provide explicit training in KT. In this article we systematically explore our experiences as a multi-disciplinary group of course facilitators and students in a newly redeveloped graduate course in Evidence…