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Tomlinson, Carol Ann – Educational Leadership, 2015
This article describes a language arts teacher's two-tiered way of using assessment data, which uses both standardized assessment data and teacher-created "skills" inventories. Standardized test data may help see where a learner performed in a previous year on items that often do not line up too well with future content. Standardized…
Descriptors: Standardized Tests, Skill Analysis, Data Analysis, Progress Monitoring
Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
Cafri, Guy; Banerjee, Samprit; Sedrakyan, Art; Paxton, Liz; Furnes, Ove; Graves, Stephen; Marinac-Dabic, Danica – Research Synthesis Methods, 2015
The motivating example for this paper comes from a distributed health data network, the International Consortium of Orthopaedic Registries (ICOR), which aims to examine risk factors for orthopedic device failure for registries around the world. Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if…
Descriptors: Meta Analysis, Surgery, Data, Networks
Konold, Clifford; Higgins, Traci; Russell, Susan Jo; Khalil, Khalimahtul – Educational Studies in Mathematics, 2015
Statistical reasoning focuses on properties that belong not to individual data values but to the entire aggregate. We analyze students' statements from three different sources to explore possible building blocks of the idea of data as aggregate and speculate on how young students go about putting these ideas together. We identify four general…
Descriptors: Statistical Analysis, Mathematical Logic, Data Analysis, Mathematical Concepts
Ainley, Janet; Gould, Robert; Pratt, Dave – Educational Studies in Mathematics, 2015
This paper is in the form of a reflective discussion of the collection of papers in this Special Issue on "Statistical reasoning: learning to reason from samples" drawing on deliberations arising at the Seventh International Collaboration for Research on Statistical Reasoning, Thinking, and Literacy (SRTL7). It is an important part of…
Descriptors: Statistical Analysis, Mathematical Logic, Data Analysis, Mathematics Skills
Gaševic, Dragan; Dawson, Shane; Siemens, George – TechTrends: Linking Research and Practice to Improve Learning, 2015
The analysis of data collected from the interaction of users with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of the new research field, learning analytics, and its closely related discipline, educational…
Descriptors: Data Collection, Educational Research, Data Analysis, Information Technology
Sharrock, Geoff – Journal of Higher Education Policy and Management, 2015
This article considers recent public debates about massive open online courses (MOOCs) and their potential to transform higher education. Drawing on reports and media commentary, it probes the claims and counterclaims of MOOC proponents and MOOC sceptics. It considers the implications for students, governments, institutions and scholars…
Descriptors: Foreign Countries, Online Courses, Higher Education, Blended Learning
Guo, Rui; Zheng, Yi; Chang, Hua-Hua – Journal of Educational Measurement, 2015
An important assumption of item response theory is item parameter invariance. Sometimes, however, item parameters are not invariant across different test administrations due to factors other than sampling error; this phenomenon is termed item parameter drift. Several methods have been developed to detect drifted items. However, most of the…
Descriptors: Item Response Theory, Test Items, Evaluation Methods, Equated Scores
Steiner, Christina M.; Kickmeier-Rus, Michael D.; Albert, Dietrich – International Association for Development of the Information Society, 2015
Digital learning games are useful educational tools with high motivational potential. With the application of games for instruction there comes the need of acknowledging learning game experiences also in the context of educational assessment. Learning analytics provides new opportunities for supporting assessment in and of educational games. We…
Descriptors: Educational Games, Computer Games, Electronic Learning, Educational Assessment
Ambrosio, Fabio – Administrative Issues Journal: Connecting Education, Practice, and Research, 2023
Background: Local governments increasingly rely on sales taxes to raise revenue, often justifying the need for a local sales tax increase with a specific programmatic goal, such as better education or transportation. In Washington State, the legislature explained that a local sales tax increase was necessary to support criminal justice because…
Descriptors: Crime, Taxes, Law Enforcement, Local Government
US Senate, 2023
Data shows that kids are months or even years behind where they would be in a typical year. And a deepening educational divide between majority white schools and majority black schools, between wealthier school districts and higher poverty districts. The results of this year's statewide exams made abundantly clear what other data is showing as…
Descriptors: Hearings, Best Practices, Achievement Gap, Racial Differences
Cara Cahalan Laitusis; Elena L. Grigorenko; Patricia H. A. Perez – American Psychological Association, 2023
Psychological science has much to contribute to enhancing teaching and learning in the classroom. Teaching and learning are intricately linked to social and behavioral factors of human development, including cognition, motivation, social interaction, and communication. Psychological science can also provide key insights on effective instruction,…
Descriptors: Students with Disabilities, Preschool Education, Elementary Secondary Education, Special Education
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Stornaiuolo, Amy – Journal of the Learning Sciences, 2020
This article centers sociocultural and sociopolitical considerations of how young people understand, represent, and use data by presenting findings from a social design research study about how students in a public urban high school authored "data stories" using personal data they curated, collected, and visualized. The study contributes…
Descriptors: Adolescents, Shared Resources and Services, Interdisciplinary Approach, Educational Technology
Achieving the Dream, 2020
In 2019, Nebraska Indian Community College (NICC) joined the National Student Clearinghouse Postsecondary Data Partnership (PDP). This technical brief will discuss an approach to prepare Postsecondary Data Partnership (PDP) data collections that consist of the development of both term cohort files and course files. The process utilized course and…
Descriptors: Community Colleges, Tribally Controlled Education, American Indian Education, American Indian Students

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