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Rose, Carolyn Penstein – Journal of Learning Analytics, 2019
This contribution offers a commentary on Neil Selwyn's write up of his keynote talk from the Learning Analytics and Knowledge Conference in 2018 (Selwyn, this issue). The article has three main sections, namely an account of what Learning Analytics has done, an account of the values behind Learning Analytics, and some ideas for moving forward.…
Descriptors: Learning Analytics, Values, Futures (of Society), Educational Trends
Liberatore, Matthew T. – ProQuest LLC, 2019
Through a basic qualitative approach this study examined the perceptions of high school counselors use of district-embedded Early Warning Systems (EWS) to increase efficiency and understanding of their caseload. In the past, studies have only examined implementation of EWS and the various indicators within an EWS, but most have not explored…
Descriptors: Identification, High Schools, School Counselors, School Counseling
Greenberg, Erica; Blagg, Kristin; Rainer, Macy – Urban Institute, 2019
Since 2010, the Community Eligibility Provision (CEP) has expanded access to free school meals while jeopardizing a key measure of student poverty used across the field of education: free and reduced-price lunch (FRPL) status. States and school districts are pioneering alternative measures of student poverty, which vary in their composition and…
Descriptors: Poverty, Measurement Techniques, Accuracy, Accountability
Larkan-Skinner, Kara; Shedd, Jessica M. – New Directions for Institutional Research, 2020
As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…
Descriptors: Data, Data Analysis, Prediction, Data Use
Smith, Kristen L.; Finney, Sara J. – Research & Practice in Assessment, 2020
Higher education institutions struggle to demonstrate learning improvement (Banta, Jones, & Black, 2009; Banta & Blaich, 2011; Jankowski, Timmer, Kinzie, & Kuh, 2018). We showcase how student learning outcomes assessment processes can benefit from strong program theory and implementation fidelity data. In our example, faculty…
Descriptors: Higher Education, College Outcomes Assessment, Fidelity, Program Implementation
Dyson, Lisa – Assessment Matters, 2020
Secondary schools in New Zealand use assessment data for school self-evaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring…
Descriptors: Data Use, Foreign Countries, High School Teachers, Teacher Attitudes
Jennings, Austin S.; Jennings, Amanda B. – Teachers College Record, 2020
Background/Context: Teachers' practice of interim assessment data use is subject to an array of individual, social, and organizational contextual factors. While contemporary research situates interim assessments within teachers' broader practice of data use, teachers do not make sense of interim assessment data in isolation. This…
Descriptors: Data Use, Elementary School Teachers, English Teachers, Mathematics Teachers
Eichmann, Beate; Goldhammer, Frank; Greiff, Samuel; Brandhuber, Liene; Naumann, Johannes – Journal of Educational Psychology, 2020
In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…
Descriptors: Problem Solving, Data Use, Differences, Achievement Tests
Xing, Wanli; Lee, Hee-Sun; Shibani, Antonette – Educational Technology Research and Development, 2020
Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining method called Latent Dirichlet Allocation (LDA) to identify underlying patterns in students…
Descriptors: Persuasive Discourse, Science Instruction, Scientific Concepts, Logical Thinking
Building upon Synergies among Self-Regulated Learning and Formative Assessment Research and Practice
Greene, Jeffrey A. – Assessment in Education: Principles, Policy & Practice, 2020
The synergies that result from synthesising conceptual models and findings from self-regulated learning and formative assessment research are launching a new era of scholarship. They drive new questions about how to help students to internalise complimentary self-regulatory and assessment knowledge, skills, and dispositions as well as how to…
Descriptors: Self Management, Learning Strategies, Formative Evaluation, Evaluation Research
Olsen, Jennifer K.; Sharma, Kshitij; Rummel, Nikol; Aleven, Vincent – British Journal of Educational Technology, 2020
The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…
Descriptors: Cooperative Learning, Learning Analytics, Data Use, Data Collection
Nasir, Murtaza; Dag, Ali; Young, William A., II; Delen, Dursun – Decision Sciences Journal of Innovative Education, 2020
We are experiencing a significant shift in management practices--moving from intuition, experience, and gut-feeling driven decision-making to one that is driven by data, evidence, and computational sciences. This shift, which is often called the "analytics revolution," is not only changing the business landscape from a practical…
Descriptors: Job Skills, Business Administration, Labor Market, Decision Making
Ginns, Diana S.; Moulton, Sara E.; Castillo, Jose M.; Jenkins, Andrew S.; Hodnett, Jennifer M. – Psychology in the Schools, 2020
Using data from a national survey of school psychologists we investigated (a) the extent to which school psychologists supported students' social-emotional and behavioral well-being using data and evidence-based practices programming, (b) how facilitators and barriers impacted school psychologists' service delivery in these areas, and (c) how…
Descriptors: School Psychologists, Barriers, Social Development, Emotional Development
McLaughlin, Tara; Cherrington, Sue; McLachlan, Claire; Aspden, Karyn; Hunt, Lynda – Early Childhood Folio, 2020
Data and the use of data for teaching and learning can be a powerful tool. However, data can also be overwhelming or underused if teachers and leaders do not have adequate systems, supports, or mindsets to facilitate effective data use. The Data, Knowledge, Action programme of research involves early childhood researchers and teachers working…
Descriptors: Data Use, Early Childhood Teachers, Educational Researchers, Educational Change
Makkonen, Reino; White, Melissa Eiler – WestEd, 2020
This knowledge brief is part of a continuing series designed to inform California education leaders about new research findings on key state policy topics. It summarizes recent findings on improving the access to, and the use of, teacher workforce data in California, and focuses on the importance of instituting a statewide teacher data system that…
Descriptors: Data Use, Data Collection, Decision Making, State Policy

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