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Yong-Hwee Nah; Raelene Shu-Xuan Lee; Annabel Shen-Hsing Chen – Journal of Autism and Developmental Disorders, 2024
This pre-test post-test control group design sought to compare the effectiveness of delivering different types of information ([1] factual information vs. [2] factual information + descriptive and explanatory information vs. [3] factual information + descriptive, explanatory + directive information) in an animated video intervention in increasing…
Descriptors: Information Utilization, Animation, Video Technology, Intervention
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Carlos Ortegón; Mathias Decuypere; Ben Williamson – Research in Education, 2024
The use of educational technologies in schools is being reshaped by a new kind of intermediary organization that brokers relations between schools, academia, governance, and industry. In this article we define and examine 'edtech brokers' as organizations that operate between the edtech industry, public schools, research centers and governments,…
Descriptors: Educational Technology, Technology Uses in Education, Information Scientists, Industry
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Reidenberg, Joel R.; Schaub, Florian – Theory and Research in Education, 2018
Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student…
Descriptors: Data Collection, Information Security, Student Records, Privacy
Daniel, Ben – Educational Technology, 2017
The increasing availability of digital data in higher education provides an extraordinary resource for researchers to undertake educational research, targeted at understanding challenges facing the sector. Big data can stimulate new ways to transform processes relating to learning and teaching, and helps identify useful data, sources of evidence…
Descriptors: Higher Education, Educational Research, Information Utilization, Data
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MacWhinney, Brian – Language Learning, 2017
The study of second language acquisition (SLA) can benefit from the same process of datasharing that has proven effective in areas such as first language acquisition and aphasiology. Researchers can work together to construct a shared platform that combines data from spoken and written corpora, online tutors, and Web-based experimentation. Many of…
Descriptors: Language Acquisition, Second Language Learning, Shared Resources and Services, Information Utilization
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Rankin, Jenny Grant – Universal Journal of Educational Research, 2016
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Descriptors: Evidence Based Practice, Data Interpretation, Information Utilization, Standards
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Morgan, Shona D.; Stewart, Alice C. – Decision Sciences Journal of Innovative Education, 2017
The purpose of this brief is twofold. First, it describes a useful template for business instructors to improve teamwork assignment design and efficacy; and second, it provides an example of how to use data collected and analyzed from a Web-based tool, Comprehensive Assessment of Team Member Effectiveness (CATME). Though CATME has been the subject…
Descriptors: Teamwork, Team Training, Instructional Improvement, Assignments
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Kitto, Kirsty; Lupton, Mandy; Davis, Kate; Waters, Zak – Australasian Journal of Educational Technology, 2017
Despite a narrative that sees learning analytics (LA) as a field that aims to enhance student learning, few student-facing solutions have emerged. This can make it difficult for educators to imagine how data can be used in the classroom, and in turn diminishes the promise of LA as an enabler for encouraging important skills such as sense-making,…
Descriptors: Curriculum Design, Design Requirements, Student Records, Data
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Douglas, Kerrie A.; Bermel, Peter; Alam, Md Monzurul; Madhavan, Krishna – Journal of Learning Analytics, 2016
MOOCs attract a large number of learners with largely unknown diversity in terms of motivation, ability, and goals. To understand more about learners in highly technical engineering MOOCs, this study investigates patterns of learners' (n = 337) behaviour and performance in the Nanophotonic Modelling MOOC, offered through nanoHUB-U. The authors…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Technology Uses in Education
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Traxler, John – Journal of Learning for Development, 2016
Mobile learning has moved in the last decade from being a small, scattered research interest to being viewed by many international agencies as a way of delivering their humanitarian missions to the developing contexts of the global South. This paper explores and documents fundamental concepts and concerns that characterize or perhaps jeopardise…
Descriptors: Electronic Learning, Educational Research, Educational Policy, Policy Analysis
Hall Giesinger, C.; Adams Becker, S.; Davis, A.; Shedd, L. – New Media Consortium, 2016
Higher education is ripe for innovation. While emerging technological developments such as digital courseware and mobiles apps have made it easier than ever for people to engage with learning resources, significant issues of access and equity persist among students from low-income, minority, single-parent families, and other disadvantaged groups.…
Descriptors: Strategic Planning, Higher Education, Educational Change, Change Strategies