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Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
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Cenka, Baginda Anggun Nan; Santoso, Harry B.; Junus, Kasiyah – Knowledge Management & E-Learning, 2022
Online learning implementation has been growing year by year across countries, including Indonesia. Many higher education institutions use a Learning Management System (LMS) to facilitate online learning. Unfortunately, many issues arise during online learning implementation, such as a lack of student behaviour monitoring. This study adopts an…
Descriptors: Knowledge Management, Electronic Learning, Integrated Learning Systems, Student Behavior
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Daoud, Abdel; Nordheim, Erik V.; McGee, Seth A.; Harris, Michelle A. – Bioscene: Journal of College Biology Teaching, 2022
The California Blackworm ("Lumbriculus variegatus") is a freshwater segmented worm species that has been used by biology instructors as a model system for inquiry-based student investigations. The blackworm dorsal blood vessel pulsation rate is easily quantified. Moreover, this species can facilitate the study of neuromuscular…
Descriptors: Animal Husbandry, Biology, Science Instruction, Inquiry
Minara Mordecai – ProQuest LLC, 2022
Advances in educational technology have led to unprecedented accumulation of student information, but there is limited research to inform school practices in protecting student data. At a minimum, school districts must remain in compliance with increasingly complex state and federal laws on student privacy. Moreover, increased cyberattacks on K-12…
Descriptors: Information Security, Privacy, Technological Advancement, Educational Innovation
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
Mason, Erica N.; Smith, R. Alex – Intervention in School and Clinic, 2020
Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of…
Descriptors: Intervention, Program Implementation, Fidelity, Students with Disabilities
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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
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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
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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
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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)
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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
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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
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