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Dylan Wiliam; Douglas Fisher; Nancy Frey – Corwin, 2024
What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…
Descriptors: Student Evaluation, Data Collection, Evidence Based Practice, Data Use
Putman, Hannah; Peske, Heather – State Education Standard, 2022
With three school years touched by the pandemic so far, the extent of the damage to this generation of students is coming into focus. Three concerns are top of mind for state and district leaders: making up for disrupted learning, ensuring that schools have enough quality teachers and staff to lead this work, and building a diverse teacher…
Descriptors: Data Use, Standards, Teacher Certification, Educational Administration
Jennings, Austin S. – Elementary School Journal, 2023
Teachers' data literacy and interpretive process are critical to understanding how they make sense of data. However, little is known about how mental representations shape and evolve in response to teachers' interpretive process. In the present study, I model and explore this recursive relationship between teachers' cognitive framing and…
Descriptors: Data Interpretation, Cognitive Processes, Academic Achievement, Student Evaluation
Evenstein Sigalov, Shani; Nachmias, Rafi – Education and Information Technologies, 2023
Wikidata is a free, multilingual, open knowledge-base that stores structured, linked data. It has grown rapidly and as of December 2022 contains over 100 million items and millions of statements, making it the largest semantic knowledge-base in existence. Changing the interaction between people and knowledge, Wikidata offers various learning…
Descriptors: Collaborative Writing, Electronic Publishing, Data, Data Use
Chen, Yawen; Zhai, Linbo – Education and Information Technologies, 2023
Accompanied with the development of storage and processing capacity of modern technology, educational data increases sharply. It is difficult for educational researchers to derive useful information from much educational data. Therefore, educational data mining techniques are important for the development of modern education field. Recently,…
Descriptors: Academic Achievement, Artificial Intelligence, Data Use, Information Retrieval
Dallavis, Julie W. – Journal of Catholic Education, 2023
Accountability pressures in education have risen steadily over the last two decades and public schools and districts now track school- and student-level data in response to state and federal mandates. Catholic schools and dioceses have not faced the same level of regulation over this period, and less is known about data access and use in the…
Descriptors: Catholic Schools, Superintendents, Data Use, Barriers
Francis, Mary – ProQuest LLC, 2023
Learning analytics are starting to become standardized in higher education as institutions use the techniques of Big Data analytics to make decisions to help them reach their goals. The widespread use of student information brings forth ethical concerns primarily in relation to privacy. While the overarching ethical issues related to learning…
Descriptors: Learning Analytics, College Students, Privacy, Ethics
Qiwei He; Qingzhou Shi; Elizabeth L. Tighe – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
Brannegan, Andrew; Takahashi, Sola – Learning Professional, 2023
Educators have long been awash in a sea of standardized test score data, with the understanding that their engagement with these data will lead to improvement in teaching and learning. But, in practice, these data have often been too infrequent, too lagging, and too distant from day-to-day practice to inform actionable next steps. To improve…
Descriptors: Standardized Tests, Data Use, Educational Improvement, Data Analysis
Vero´nica Garci´a Rojas; Jhon Fredy Pe´rez Torres – Journal of Chemical Education, 2023
Auxiliary Tanabe-Sugano diagrams are presented. They enable a rapid and reliable graphical derivation of Dq/B and C/B crystal field parameter ratios from spectroscopic data. Using these values, one can calculate Dq and B by employing the original Tanabe-Sugano diagrams. Subsequently, C can also be calculated irrespective of the value C/B fixed in…
Descriptors: Metallurgy, Visual Aids, Science Education, Energy
Baptiste Barbot; James C. Kaufman – Journal of Creative Behavior, 2025
The OECD's PISA program assesses 15-year-old students globally in key competencies every 3 years, providing influential data on education quality and spurring policy debates. In the latest cycle, the innovation domain focused on creative thinking, assessing over 140,000 students across 60+ countries, in the largest study of adolescent creativity…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
Bernadine Sengalrayan; Blane Harvey – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: This study examines the engagement of knowledge users in knowledge mobilisation (KMb) research on Canadian K-12 teaching and education policy. Research on and around KMb has grown in the decade since this field was first assessed comprehensively. Thus, it is timely to re-evaluate if current knowledge producer-user relationships in KMb…
Descriptors: Foreign Countries, Elementary Secondary Education, Educational Research, Educational Researchers
Chelsey Legacy; Andrew Zieffler; V. N. Vimal Rao; Robert Delmas – Statistics Education Research Journal, 2025
As ideas from data science become more prevalent in secondary curricula, it is important to understand secondary teachers' content knowledge and reasoning about complex data structures and modern visualizations. The purpose of this case study is to explore how secondary teachers make sense of mappings between data and visualizations, especially…
Descriptors: Secondary School Teachers, Visualization, Data, Data Use
Jenny Cooke Smith, Contributor; Jessica Elmore, Contributor; Brandy R. Jackson, Contributor; Reshunda Mahone, Contributor; Jacqueline E. King, Contributor; Sheeleah Prince, Contributor; R. Fleming Puckett, Contributor – Council for Advancement and Support of Education, 2025
"CASE Insights on Advancement at Historically Black Colleges and Universities: Leveraging Data and Promoting Engagement" explores the current state of advancement at HBCUs and highlights the innovative strategies these institutions use to strengthen alumni engagement and philanthropic support. Developed by the Council for Advancement and…
Descriptors: Black Colleges, Institutional Advancement, Alumni, Private Financial Support
Halima Alnashiri; Mladen Rakovic; Sadia Nawaz; Xinyu Li; Joni Lamsa; Lyn Lim; Maria Bannert; Sanna Jarvela; Dragan Gasevic – Journal of Computer Assisted Learning, 2025
Background: Integrating information from multiple sources is a common yet challenging learning task for secondary school students. Many underuse metacognitive skills, such as monitoring and control, which are essential for promoting engagement and effective learning outcomes. Objective: This study aims to examine the relationship between…
Descriptors: Secondary School Students, Metacognition, Writing (Composition), English

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