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Horner, Robert H. – American Journal on Intellectual and Developmental Disabilities, 2020
The policy decisions of state, district and school educators affect the extent to which students have access to high-quality practices. This is especially relevant for students with disabilities and their families. This article summarizes a presentation made at the 2019 AAIDD conference and proposes an operational role for policy makers. Two…
Descriptors: Educational Policy, Educational Practices, Educational Change, Students with Disabilities
Yildiz, Gizem; Yildirim, Abdurrahman; Akça, Bedreddin Ali; Kök, Ayse; Özer, Açelya; Karatas, Serçin – International Review of Research in Open and Distributed Learning, 2020
A total of 1023 selected articles published in 2016-2019 related to mobile learning were examined and classified according to the categories in this research: 40% of these articles used quantitative approaches, 18% of them used mixed, and 13% of them were literature reviews. The published studies were analyzed according to research model, sample…
Descriptors: Educational Trends, Educational Research, Electronic Learning, Handheld Devices
Cooke, Mandy; Francisco, Susanne; Press, Frances; Wong, Sandie – Journal of Early Childhood Research, 2020
The theory of practice architectures is a useful theoretical, methodological and analytical tool for educational research. The use of the theory is emerging as germane in early childhood education research. This article explores concepts from the theory as applied in an early childhood education research project. The article focuses on the concept…
Descriptors: Early Childhood Education, Educational Research, Data Collection, Educational Researchers
Li, Kam-Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2020
Purpose: This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies. Design/methodology/approach: A total of 34 case studies published from 2013…
Descriptors: Learning Analytics, Art Education, STEM Education, Adoption (Ideas)
Lee, Victor R.; Dubovi, Ilana – Journal of the Learning Sciences, 2020
This article reports on an exploratory study of quantitative data use situated in families' management routines while taking care of a child with Type 1 diabetes (T1D). T1D treatment requires frequent measurement and recording of numerical data about blood sugar concentration, nutritional intake, and insulin dosage at the child's home, at school,…
Descriptors: Family Involvement, Diabetes, Child Caregivers, Information Storage
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth – Frontline Learning Research, 2020
To be successful in online education, learners should be able to self-regulate their learning due to the autonomy offered to them. Accurate measurement of learners' self-regulated learning (SRL) in online education is necessary to determine which learners are in need of support and how to best offer support. Trace data is gathered automatically…
Descriptors: Learning Strategies, Online Courses, Electronic Learning, Data Collection
Leysinger, Claudine; Hasgall, Alexander; Peneoasu, Ana-Maria – European University Association, 2020
In recent years, European universities and other stakeholders have taken interest in career tracking in doctoral education as one of the ways to better understand the potential professional future of doctoral candidates. This report reflects the outcomes of the work of the European University Association-Council for Doctoral Education (EUA-CDE)…
Descriptors: Career Development, Doctoral Degrees, Universities, International Organizations
La Salle, Tamika P. – Center on Positive Behavioral Interventions and Supports, 2020
The purpose of this brief is to provide information about how to evaluate school climate at the primary and secondary levels. Norms and ranges are provided and based on a national data; this data can help schools to contextualize local data. Information for interpreting the data and unit if for data-based decision making is also included.
Descriptors: School Surveys, Educational Environment, Student Surveys, Student Characteristics
Hefler, Günter; Steinheimer, Eva – European Commission, 2020
This report summarises the results of the project "Measuring Learning Mobility in Vocational Education and Training" (specific contract n° VC/2019/0024 signed between Directorate-General for Employment, Social Affairs and Inclusion, Unit E3 and GOPA, under the Eurostat framework contract 2018.0086). The current project has aimed at…
Descriptors: Foreign Countries, Vocational Education, Educational Assessment, Outcomes of Education
Office of Inspector General, US Department of Education, 2023
The objective of this inspection was to determine what steps the Office of Special Education and Rehabilitative Services (OSERS) has taken to implement its final regulations on significant disproportionality in special education. The inspection found that OSERS provided general guidance and technical assistance for State educational agencies…
Descriptors: Students with Disabilities, Federal Legislation, Equal Education, Educational Legislation
Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gaševic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
Simpson, Amber; Anderson, Alice; Maltese, Adam V. – Journal of Science Education and Technology, 2019
A lot of attention has been given to the role failure plays in learning and innovation. Yet, we know little about the conditions necessary for the experience to result in positive outcomes. In this study, we sought to answer three research questions: (1) What is the relationship among attend, interpret, and respond when experiencing failures…
Descriptors: Youth, Science Teachers, Academic Failure, Correlation
Doberneck, Diane M.; Dann, Shari L. – Journal of Higher Education Outreach and Engagement, 2019
Community-engaged scholars, practitioners, and community partners often find the language of community engagement challenging. Words like "participate," "collaborate," "partner," or "engage" fail to convey who in a community-university partnership has voice and authority in decision-making and responsibility…
Descriptors: Service Learning, School Community Relationship, Program Evaluation, Evaluation Methods
Kivimäki, Ville; Pesonen, Joonas; Romanoff, Jani; Remes, Heikki; Ihantola, Petri – Journal of Learning Analytics, 2019
The collection and selection of the data used in learning analytics applications deserve more attention. Optimally, selection of data should be guided by pedagogical purposes instead of data availability. Using design science research methodology, we designed an artifact to collect time-series data on students' self-regulated learning and…
Descriptors: Concept Mapping, Diaries, Data Collection, Independent Study
Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice

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