Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet-to-be-developed data science approaches have the potential to dramatically advance instruction for every student and to enhance learning for people of all ages. Next steps that emerged from a recent National…

This study describes the experiences of a researcher negotiating consent with people with learning disabilities to become participants in a research study. The study was about how the Mental Capacity Act (MCA) was applied to everyday decision-making in social care settings. However, before data collection could begin, the researcher had to follow…

Some universal behavioural screening processes require classroom teachers to complete a risk assessment measure on each student in their class, leading to a possible, but unexplored, problem: risk assessment scores may be influenced by the teacher completing the measure. The current study investigated whether teacher-reported risk assessment…

Schoolwide Positive Behavioral Intervention and Supports (SWPBIS) is a framework for establishing a schoolwide positive social culture with a continuum of behavior supports and an effective learning environment for all students. This framework was initially implemented in elementary and middle schools and more recently in high schools. Coaches for…

Researchers regularly deal with ethical considerations when writing up their research. However, such considerations are rarely addressed in existing research ethics literature. Here, the focus tends to be on ethical considerations that arise in relation to research proposals and "protocols," that is, during the "process" of…

Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…

This descriptive study utilized a validated questionnaire that gathered data from freshmen of two different school years. Demographic profile, marketers (i.e., source of information of students about the school), influencers (i.e., significant others that persuaded them to enroll in the school), level of school choice, and level of consideration…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. The State Higher Education Executive Officers association (SHEEO), as…

Rhode Island is committed to ensuring that all educators receive fair, accurate, and meaningful educator evaluations that provide information that can help all teachers improve and refine their practice. Currently, districts in Rhode Island may submit a district-designed model for approval that complies with the Educator Evaluation System…

Learning technologies are now commonplace in education, and generate large volumes of educational data. Scholars have argued that analytics can and should be employed to optimize learning and learning environments. This article explores what is really meant by "analytics", describes the current best-known examples of institutional…

Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics…

Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially useful for synthesising evidence or belief concerning a complex intervention, assessing the sensitivity of outcomes to different situations or contextual frameworks and framing decision problems that involve alternative types of intervention.…

Clinical decision making requires knowledge, experience and analytical/non-analytical types of decision processes. As clinicians progress from novice to expert, research indicates decision-making becomes less reliant on foundational biomedical knowledge and more on previous experience. In this study, we investigated how knowledge and experience…

Little continues to be known about what actually happens in classrooms, particularly from a national perspective. Descriptions of classroom practices from a national vantage point can provide a bird's eye view of salient patterns and variations within an education system, especially one as centralised as that of Malaysia. With these descriptions,…

Faced with increasing demands for accountability, teachers are having to base their instructional decisions and choice of interventions on data on student performance. This book shows how to make this otherwise daunting task much more manageable by means of case studies and countless evidence-based forms and graphs. Although this book often refers…