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Voß, Lydia; Schatten, Carlotta; Mazziotti, Claudia; Schmidt-Thieme, Lars – International Educational Data Mining Society, 2015
Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…
Descriptors: Transfer of Training, Intelligent Tutoring Systems, Statistics, Probability
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
Education, Audiovisual and Culture Executive Agency, European Commission, 2015
The academic calendar contains national data on how the academic year is structured (beginning of the academic year, term times, holidays and examination periods). Differences between university and non-university study programmes are also highlighted. The information is available for 38 countries. [For the previous report "The Organisation…
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Education, Audiovisual and Culture Executive Agency, European Commission, 2015
The academic calendar contains national data on how the academic year is structured (beginning of the academic year, term times, holidays and examination periods). Differences between university and non-university study programmes are also highlighted. The information is available for 38 countries. [For the previous report "The Organisation…
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Education, Audiovisual and Culture Executive Agency, European Commission, 2015
The academic calendar contains national data on how the academic year is structured (beginning of the academic year, term times, holidays and examination periods). Differences between university and non-university study programmes are also highlighted. The information is available for 38 countries. [For the previous report "The Organisation…
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Reform Support Network, 2015
In early 2015, the Reform Support Network brought together State department of education leaders from Colorado, Delaware, New Jersey and Tennessee to discuss strategies for refining and sustaining high-quality educator evaluation systems. During the convening, representatives from the Tennessee Department of Education (TDOE) explained how the…
Descriptors: School Districts, Data Use, Evaluation Utilization, Human Capital
Shouping Hu, Editor; Joe O'Shea, Editor – Routledge, Taylor & Francis Group, 2025
"The Routledge Handbook on Postsecondary Student Success" offers a comprehensive and authoritative examination of student success in postsecondary education. This handbook addresses critical issues in student success, such as student engagement, mental health, and degree completion to provide valuable insights on promoting student…
Descriptors: Postsecondary Education, Success, College Students, Learner Engagement
Keaton, Patrick; Sable, Jennifer; Liu, Fei – National Center for Education Statistics, 2012
This revised data file includes corrections that were provided to NCES as a result of a special collection effort designed to address data quality issues found in the 1a release of this file. In May 2012, NCES became aware of data errors for key data items for several schools on the published version of the SY 2009-10 school file; in some cases…
Descriptors: School Statistics, Data Collection, Documentation, Error Patterns
Mandinach, Ellen B.; Gummer, Edith S. – WestEd, 2012
There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…
Descriptors: Information Literacy, Data Analysis, Faculty Development, Data
Ssajjakambwe, Paul; Setumba, Christopher; Kisaka, Stevens; Bahizi, Gloria; Vudriko, Patrick; Kabasa, John D.; Kaneene, John B. – Journal of Asynchronous Learning Networks, 2013
One of the cornerstones of the AgShare program is the application of an information loop of action research in the training of graduate students to generate new and practical educational materials and interventions for creating open education research (OER) modules for teaching at universities, and for designing interventions and training…
Descriptors: Foreign Countries, Agricultural Education, Resource Units, Shared Resources and Services
Horton, Jessica; Friedenstab, Steve – Science and Children, 2013
This article describes a special third-grade classroom unit based on the reality show "Survivor." The goal of this engaging and interactive unit was to teach students about physical and behavioral adaptations that help animals survive in various desert biomes. The activity combines research, argument, and puppet play over one week of…
Descriptors: Science Instruction, Elementary School Science, Grade 3, Animals
Zhuang, Jie; Chen, Peijie; Wang, Chao; Jin, Jing; Zhu, Zheng; Zhang, Wenjie – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to determine which method, individual information-centered (IIC) or group information-centered (GIC), is more efficient in recovering missing physical activity (PA) data. Method: A total of 2,758 Chinese children and youth aged 9 to 17 years old (1,438 boys and 1,320 girls) wore ActiGraph GT3X/GT3X+…
Descriptors: Foreign Countries, Physical Activities, Measurement Equipment, Data Analysis
Kennedy, Gregor; Ioannou, Ioanna; Zhou, Yun; Bailey, James; O'Leary, Stephen – Australasian Journal of Educational Technology, 2013
The analysis and use of data generated by students' interactions with learning systems or programs--learning analytics--has recently gained widespread attention in the educational technology community. Part of the reason for this interest is based on the potential of learning analytic techniques such as data mining to find hidden patterns in…
Descriptors: Data Analysis, Interaction, Educational Technology, Data Collection
Martinez, Laura; Hayes, Cheryl D. – Children's Aid Society, 2013
Social return on investment (SROI) offers a new strategy to measure and communicate the value of outcomes achieved by programs that provide social, health, and education services to children and their families. It can be a powerful tool for demonstrating the monetary value of programs and services and for communicating that value in a way that can…
Descriptors: Outcomes of Education, Community Schools, Outcome Measures, Integrated Services
Meishar-Tal, Hagit; Shonfeld, Miri – Interactive Learning Environments, 2019
This study took place in a school which adopted a "paperless classroom" policy. The purpose of the study was to examine whether students who learn in a paperless classroom really prefer reading and writing on computers rather than on paper and whether their preferences differ according to contextual conditions and personal differences.…
Descriptors: Preferences, Classroom Environment, Computer Uses in Education, Printed Materials

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