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Uslu, Rukiye; Baglama, Basak – Journal of Educational Psychology - Propositos y Representaciones, 2020
Positive behavioral support is an approach that uses the principles of applied behavior analysis and system changes to improve individuals' quality of life and reduce problem behaviors. In positive behavior support, it is aimed to determine the functions of the problem behaviors of the child and to gain appropriate behaviors that meet the same…
Descriptors: Positive Behavior Supports, Educational Trends, Bibliometrics, Educational Research
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Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
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Babchuk, Wayne A.; Brand, Lesa L.; Guetterman, Timothy C. – Journal of Ethnographic & Qualitative Research, 2020
The present study focused on determining how public health workers access and utilize research in their daily practice and how they can better utilize research in order to improve practice, policy, and training as it relates to minority health care. We interviewed 13 community health workers utilizing a semi-structured interview protocol. Data…
Descriptors: Minority Groups, Public Health, Health Personnel, Research Utilization
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Horn, Ivo R.; Verleg, Peter A.; Ibrahim, Nafiesa Z.; Soeleman, Khadiedjah; Kampen, Floris; Ruesen, Mia O.; Reulen, Naïsha M.; Breij, Henk; Bakker, Roderick J.; Gravendeel, Barbara – Biochemistry and Molecular Biology Education, 2020
DNA barcoding is an important molecular methodology for species identification that was developed over the last two decades and it should be covered in the biology bachelor curriculum. Here, we present an example of DNA barcoding by sequencing a segment of the 28S nuclear ribosomal large subunit rRNA gene of wild mushrooms and framing the…
Descriptors: Genetics, Molecular Biology, Plants (Botany), Identification
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Yazici, Hulya Julie – Decision Sciences Journal of Innovative Education, 2020
The increasing use of massive data requires effective teaching strategies for business analytics. The discipline combines analytical skills, information technology, and business-domain knowledge, and is challenging to teach to business students. This research demonstrates that business undergraduate students can benefit from an experiential…
Descriptors: Student Projects, Active Learning, Business Administration Education, Undergraduate Students
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Cho, Eunsoon; Cho, Young Hoan; Grant, Michael M.; Song, Donggil; Huh, Yeol – TechTrends: Linking Research and Practice to Improve Learning, 2020
The Korean Society for Educational Technology (KSET) hosted its second panel discussion partnering with the Association for Educational Communications and Technology (AECT) at the 2019 AECT Convention in Las Vegas, Nevada. A total of four panelists, two from Korea and two from the U.S., participated in the discussion on the trends of educational…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Telecommunications
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Hayes, Aneta; Cheng, Jie – Teaching in Higher Education, 2020
The paper critiques key international teaching excellence and higher education outcomes frameworks for their lack of attention to epistemic equality. It subsequently argues that adequate 'datafication' of these frameworks, to demonstrate the extent to which universities offer teaching experiences which promote intellectual equivalence of all…
Descriptors: Educational Quality, Data Collection, Data Analysis, Teacher Effectiveness
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Ray, Anne E.; Greene, Kathryn; Pristavec, Teja; Hecht, Michael L.; Miller-Day, Michelle; Banerjee, Smita C. – Educational Technology Research and Development, 2020
Engagement is central to the effectiveness of online health messages and the related educational programs that aim to deliver these messages to the intended audience (Li et al. in Educ Tech Res Dev. https://doi.org/10.1007/s11423-019-09709-9, 2019). Drawing from health communication and social learning theories, the Theory of Active Involvement…
Descriptors: Participation, Online Courses, Prevention, Program Effectiveness
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Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Hammout, Nisrine; Nakamura, Emilia Luttmann; Escamilla, Jose; Hosseini, Samira – International Journal of Educational Technology in Higher Education, 2020
Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage within the educational domain and the positive impact that data-driven methods have. Moreover, the use of…
Descriptors: Data Collection, Data Analysis, Student Attitudes, Student Evaluation of Teacher Performance
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Robinson, Ian; Robinson, Saul; Robinson, Nathan – Physics Education, 2020
Described here is a well established opensource geophysics project to monitor atmospheric infrasound 24/7. It employs a modern digital, I[superscript 2]C enabled differential pressure sensor--unlike the older analog devices more commonly used. Python software automatically uploads plots whilst data is stored in standard ".mseed" format…
Descriptors: Science Instruction, Geophysics, Educational Technology, Technology Uses in Education
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Bay, Jennifer L.; Yankura Swacha, Kathryn – Michigan Journal of Community Service Learning, 2020
This article presents an experiential model for community-engaged research that understands communities as living meshworks of embodied human beings, material circumstances, and affective environments. We first trace how community organizations and academics must increasingly respond to a push for hard data. Using an analysis of a national…
Descriptors: Community Involvement, School Community Relationship, Research, Data Collection
Craig, Scotty D.; Li, Siyuan; Prewitt, Deborah; Morgan, Laurie A.; Schroeder, Noah L. – Advanced Distributed Learning Initiative, 2020
The Science of Learning and Readiness (SoLaR) project seeks to demonstrate to Defense and other Government stakeholders the "art of the possible" for high-quality distributed learning and to create a practical guide for how to infuse such qualities into the broader Department of Defense (DoD) distributed learning ecosystem. This report…
Descriptors: Distance Education, Educational Technology, Learning Analytics, Data Collection
Education Commission of the States, 2020
The population of English learners (ELs) in K-12 schools continues to grow. Between the 2009-10 and 2014-15 school years, the percentage of English learners increased in over half of the states, and in 2017, English learners made up 10.1% of the total student population. Research suggests that in their transition to English, non-native speakers…
Descriptors: Elementary School Students, English Language Learners, English (Second Language), Second Language Learning
Robertson, Brett – Institute for College Access & Success, 2020
One lasting legacy of the COVID-19 pandemic may be more students attending online classes at both traditional and fully online colleges. The efficacy of online education remains unproven, especially for students with academic or other challenges. And yet, both students and policymakers lack the data they need to assess whether online classes are…
Descriptors: Online Courses, Electronic Learning, Distance Education, Educational Quality
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Clavié, Benjamin; Gal, Kobi – International Educational Data Mining Society, 2020
We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…
Descriptors: Student Behavior, Electronic Learning, Metadata, Prediction
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