A Collaborative Approach to Sharing Learner Event Data

This paper describes a collaboration organized around exchanging data between two technological systems to support teachers’ instructional decision-making. The goals of the collaboration among researchers, technology developers, and practitioners were not only to support teachers’ instructional decision-making but also to document the challenges and opportunities associated with bringing together data from instruction- and assessment-focused technologies. The approach described in this paper illustrates the potential importance of anchoring data products that combine data between two systems in the needs of teachers as well as aligning the content that students learn and are assessed on between systems. The increasing presence of data standards has made sharing complex data increasingly more feasible. The example collaboration described in this paper demonstrates the role that non-technical activities can play in supporting the exchange and use of learner event data.

Precision of Single-Skill Mathematics CBM: Group Versus Individual Administration

The current availability of research examining the precision of single-skill mathematics (SSM) curriculum-based measurements (CBMs) for progress monitoring is limited. Given the observed variance in administration conditions across current practice and research use, we examined potential differences between student responding and precision of slope when SSM-CBMs were administered individually and in group (classroom) conditions. No differences in student performance or measure precision were observed between conditions, indicating flexibility in the practical and research use of SSM-CBMs across administration conditions. In addition, findings contributed to the literature examining the stability of SSM-CBMs slopes of progress when used for instructional decision-making. Implications for the administration and interpretation of SSM-CBMs in practice are discussed.

International Perspectives on Understanding and Improving Teachers’ Data-Based Instruction and Decision Making: Introduction to the Special Series

This article serves as an introduction to the special series, Data-Based Instruction and Decision-Making: An International Perspective. In this series, we bring together international researchers from both special and general education to address teachers’ use (or non-use) of data for instructional decision making. Via this special series, we aim to increase understanding of the challenges involved in teachers’ data-based instructional decision making for students with or at-risk for learning disabilities, and to further the development of approaches for improving teachers’ ability to plan, adjust, and adapt instruction in response to data.

Bringing Data-Based Individualization to Scale: A Call for the Next-Generation Technology of Teacher Supports

The purpose of this narrative synthesis of the curriculum-based measure (CBM) instructional utility literature is to deepen insight into the supports required to enrich teachers’ instructional decision-making within curriculum-based measure –data-based individualization (CBM-DBI) in ways that enhance the learning outcomes of students with intensive intervention needs, including students with learning disabilities. We begin by summarizing a recent meta-analysis of CBM-DBI studies focused on academic outcomes. We then reconsider studies from that meta-analysis to further explore the supports required to enrich teachers’ instructional decision-making within CBM-DBI and improve student learning. We next draw conclusions and propose a renewed program of instructional utility CBM-DBI research for capitalizing on technology’s potential to enhance productive instructional decision-making for students who require intensive intervention, fulfill DBI’s potential, and bring CBM-DBI to scale.

Hierarchical discourse in elementary social studies: a teacher's view of decision-making

PurposeAs school districts continue to devalue social studies through a narrowed focus on English language arts (ELA) and mathematics, this study investigated elements of curricular control in a district lacking a formal, purchased curricular program in the elementary grades. Without prescribed and scripted lessons, it was hypothesized that teacher autonomy would allow greater opportunities to investigate social studies concepts and skills.Design/methodology/approachWithout prescribed and scripted lessons, it was hypothesized that teacher autonomy would allow greater opportunities to investigate social studies concepts and skills. Bernstein's theory of pedagogic discourse guided this study's analysis of power and control. This manuscript describes a micro-level discourse analysis that applies Gee's tools on interview data from two teachers.FindingsFindings demonstrate some opportunities for teacher autonomy, but hierarchical control from administration persists and influences teacher decision-making. As researchers continue to argue for the increased presence of elementary social studies, this study demonstrates that the lack of a formal scripted curricular program presents opportunities for teachers, but administrative control endures and hinders teacher autonomy and instructional decision-making.Research limitations/implicationsThe data size and number of participants in this study may present limitations that impact generalizability. However, the focus for this study was to gain a deeper understanding of the messaging from two teachers. Comparability and translatability were identified as factors for research design to establish legitimacy (LeCompte and Preissle, 1993).Practical implicationsWhen considering implications from this study, two elements are considered. First, the continued devaluation of social studies persists, despite the implementation of Common Core standards. As a result, other measures must be investigated and implemented to ensure the subject is elevated to a more prominent position representative of its importance to a democracy. To accomplish this goal, teacher input and autonomy must also be respected to ensure a quality curriculum is utilized in the classroom. While teachers may exert control, albeit limited, in their instructional decision-making, many others are reliant on purchased programs that do not allow even this narrow classroom influence.Originality/valueIn this study, teachers' language use demonstrated external administrative control as well as autonomous decision-making. Their assigned schedule privileged ELA and math through the allocation of time. Moreover, administrators stated that social studies is not a priority, a sentiment counter to participants' values. Therefore, while they recognized the inherent benefit of the subject to their students, hierarchical power controlled the classification and framing of instruction. A weakened classification and framing structure must be sought to allow more opportunities for purposeful integration of content through messaging systems that are more responsive to students' needs.

Tracking Intervention Dosage to Inform Instructional Decision Making

Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of intervention success. This article presents strategies for how teachers can plan for, collect, and use intervention dosage data to inform instructional data-based decision making.

Teaching with Analytics: Towards a Situated Model of Instructional Decision-Making

The process of using analytic data to inform instructional decision-making is acknowledged to be complex; however, details of how it occurs in authentic teaching contexts have not been fully unpacked. This study investigated five university instructors’ use of a learning analytics dashboard to inform their teaching. The existing literature was synthesized to create a template for inquiry that guided interviews, and inductive qualitative analysis was used to identify salient emergent themes in how instructors 1) asked questions, 2) interpreted data, 3) took action, and 4) checked impact. Findings showed that instructors did not always come to analytics use with specific questions, but rather with general areas of curiosity. Questions additionally emerged and were refined through interaction with the analytics. Data interpretation involved two distinct activities, often along with affective reactions to data: reading data toidentify noteworthy patterns and explaining their importance in the course using contextual knowledge. Pedagogical responses to the analytics included whole-class scaffolding, targeted scaffolding, and revising course design, as well two new non-action responses: adopting a wait-and-see posture and engaging in deep reflection on pedagogy. Findings were synthesized into a model of instructor analytics use that offers useful categories of activities for future study and support