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Fox, Michelle Margit – ProQuest LLC, 2019
This case study examined the initial implementation of an Early Warning Intervention System (EWIS) across three comprehensive high schools in a large suburban school district in Washington State using both quantitative and qualitative methodologies. The purpose of the study was two-fold: to determine the extent to which the initial application of…
Descriptors: Program Implementation, At Risk Students, High School Students, Suburban Schools
Huie, Stephanie Bond; Troutman, David R. – Institute for Higher Education Policy, 2019
Accurate, timely data on student outcomes and post-graduate earnings is a critical piece of any state effort to close equity gaps in college access and success, boost attainment statewide, and strategically align education and workforce goals. Unfortunately, in the absence of a federal student-level data network, states and other key stakeholders…
Descriptors: Universities, Government School Relationship, Partnerships in Education, Data Collection
Chelsea Hetherington; Cheryl Eschbach; Courtney Cuthbertson – Journal of Human Sciences & Extension, 2019
Evaluation capacity building (ECB) is an essential element for generating credible and actionable evidence on Extension programs. This paper offers a discussion of ECB efforts in Cooperative Extension and how such efforts enable Extension professionals to collect and use credible and actionable evidence on the quality and impacts of programs.…
Descriptors: Cooperative Education, Extension Education, Capacity Building, Program Evaluation
Holcombe, Rebecca – Vermont Agency of Education, 2017
The Vermont Agency of Education (AOE), through funding from a 4.9 million dollar grant from the U.S. Department of Education, is in the final stages of developing and implementing a Statewide Longitudinal Data System (SLDS) to support the work of the AOE and Vermont school districts. A significant portion of the federal award supports the creation…
Descriptors: State Policy, Longitudinal Studies, Data Collection, Program Implementation
Cook, Joshua; Lynch, Collin F.; Hicks, Andrew G.; Mostafavi, Behrooz – International Educational Data Mining Society, 2017
BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…
Descriptors: Models, Bayesian Statistics, Data Use, Intelligent Tutoring Systems
Oslund, Eric L.; Elleman, Amy M.; Wallace, Kelli – Journal of Learning Disabilities, 2021
In tiered instructional systems (Response to Intervention [RTI]/Multitier System of Supports [MTSS]) that rely on ongoing assessment of students at risk of experiencing academic difficulties, the ability to make informed decisions using student data is critical for student learning. Prior research has demonstrated that, on average, teachers have…
Descriptors: Data Use, Decision Making, Data Interpretation, Professional Development
Ledford, Jennifer R.; Lambert, Joseph M.; Barton, Erin E.; Ayres, Kevin M. – Focus on Autism and Other Developmental Disabilities, 2021
Identifying potentially effective practices for improving outcomes for individuals with autism spectrum disorder (ASD) is a complex process. In this article, we respond to recent reviews of evidence-based practices for individuals with ASD. We identify possible problems and make suggestions in relation to identifying well-specified practices,…
Descriptors: Autism, Pervasive Developmental Disorders, Intervention, Evidence Based Practice
Lazarus, Sheryl S.; Hinkle, Andrew R.; Liu, Kristin K.; Thurlow, Martha L.; Ressa, Virginia A. – National Center on Educational Outcomes, 2021
The National Center on Educational Outcomes (NCEO) held a virtual meeting of an Interim Assessment Advisory Panel on February 16 and 17, 2021, to tap into the panel members' collective knowledge about using interim assessments to support valid interpretations of what students with disabilities know and can do. The panel represented…
Descriptors: Student Evaluation, Students with Disabilities, Guidance, State Departments of Education
Albiladi, Waheeb S.; Lasater, Kara; Bengtson, Ed – Journal of School Administration Research and Development, 2020
This study examines teachers' and administrators' use of data to inform their practice in one south-central state. Using a qualitative research approach, the study involved 76 educators representing eight school districts. Data were collected using focus groups with teachers and in-depth interviews with school principals. Data were inductively and…
Descriptors: Data Use, Decision Making, Principals, Elementary School Teachers
Kawasaki, Jarod; Quartz, Karen Hunter; Martínez, José Felipe – Education Policy Analysis Archives, 2020
We argue that teacher preparation programs considering approaches to assess teaching quality should choose measures that appropriately represent the complexity of teaching, have formative value in supporting teacher candidates develop as highly qualified teachers and consider the context, mission, and people that the program desires to serve. The…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Education Programs, Teaching (Occupation)
Mozahem, Najib Ali – International Journal of Mobile and Blended Learning, 2020
Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student performance in classrooms that use LMS to supplement face-to-face teaching. Data was collected from eight courses spread across two…
Descriptors: Integrated Learning Systems, Data Use, Prediction, Academic Achievement
Hirsch, Shanna E.; MacSuga-Gage, Ashley S.; Ennis, Robin Parks; Mathews, Hannah Morris; Rice, Kathryn; Marcus, Kendalee – Journal of Special Education Technology, 2020
Positive behavioral interventions and supports (PBIS) is an empirically-based framework for proactively supporting student behavior across school settings. One technique schools utilize to teach and reinforce behavioral expectations is through the use of video. Since 2010, the Association for Positive Behavior Support has hosted the PBIS Film…
Descriptors: Video Technology, Positive Behavior Supports, Films, Film Production
Percy, Chris; Tomlinson, Michael; Huddleston, Prue – Journal of Education and Work, 2020
This paper identifies a nascent trend in several countries regarding increased collection, public availability and use of destination data for graduates of secondary education, with policy ambitions to support pupil-level decision-making and drive provider-level accountability. This trend mirrors the previous development of such data for higher…
Descriptors: Educational Trends, Data Collection, Secondary Education, Educational Research
Van Wart, Sarah; Lanouette, Kathryn; Parikh, Tapan S. – Journal of the Learning Sciences, 2020
Data increasingly mediates how we understand the world. As such, there is growing interest in designing initiatives to help young people learn about data--not only the techno-mathematical skills necessary to work with data, but also the dispositions needed to participate in data-centric ways of knowing and doing. In this article, we argue that as…
Descriptors: Data, Social Problems, Data Collection, Data Use
Yoder, Nick; Posamentier, Jordan; Godek, Dana; Seibel, Katherine; Dusenbury, Linda – Collaborative for Academic, Social, and Emotional Learning, 2020
Schools have drastically changed the way that staff, students, families, and communities engage with one another due to the COVID-19 pandemic. As schools begin planning education for fall, states are in the process of developing guidance and support for districts and schools to navigate students' and adults' academic, social, emotional, and…
Descriptors: State Policy, Social Emotional Learning, Pandemics, COVID-19