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Region 1 Comprehensive Center, 2025
Although the COVID-19 pandemic required schools and districts to quickly pivot to a remote and hybrid learning system of education, some stakeholders benefited in this new model of learning. Through this project, R1CC supported two district teams in self-identifying remote and hybrid learning strategies and integrating those strategies more…
Descriptors: State Departments of Education, School Districts, Distance Education, Blended Learning
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Yan, Hongxin; Lin, Fuhua; Kinshuk – International Journal of Artificial Intelligence in Education, 2021
Online education is growing because of its benefits and advantages that students enjoy. Educational technologies (e.g., learning analytics, student modelling, and intelligent tutoring systems) bring great potential to online education. Many online courses, particularly in self-paced online learning (SPOL), face some inherent barriers such as…
Descriptors: Learning Analytics, Independent Study, Online Courses, Electronic Learning
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Lee, Victor R.; Wilkerson, Michelle Hoda; Lanouette, Kathryn – Educational Researcher, 2021
There is growing interest in how to better prepare K-12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are…
Descriptors: Elementary Secondary Education, Statistics Education, Humanism, Data Collection
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Jia, Yuchen; Zhang, Limei – International Journal of Educational Technology in Higher Education, 2021
With the development of information technology and the advent of Massive Open Online Course (MOOC) and Small Private Online Course (SPOC), various online courses which include a lot of new resources and new teaching methods have appeared. The application of advanced teaching resources and educational concepts can improve students' learning…
Descriptors: Online Courses, Small Group Instruction, Blended Learning, Teaching Methods
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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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Pratsri, Sajeewan; Nilsook, Prachyanun – Higher Education Studies, 2020
According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the…
Descriptors: Data Analysis, Higher Education, Information Systems, Data Collection
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Aguilar, Stephen J. – TechTrends: Linking Research and Practice to Improve Learning, 2018
We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the…
Descriptors: Instructional Design, Social Justice, Educational Research, Data Collection
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Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
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Bocala, Candice; Boudett, Kathryn Parker – Teachers College Record, 2015
Background: Institutions of higher education, specifically schools of education, should play a pivotal role in supporting educators' development of data literacy for teaching. While novice teachers are often prepared to use test-based assessment data, they learn these experiences in isolated courses that do not connect to instruction or school…
Descriptors: Teacher Educators, Colleges, Teacher Education Programs, Evaluation Methods
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Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
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Roman, Harry T. – Technology and Engineering Teacher, 2012
The collection and analysis of weather data is crucial to the location of alternate energy systems like solar and wind. This article presents a design challenge that gives students a chance to design a weather station to collect data in advance of a large wind turbine installation. Data analysis is a crucial part of any science or engineering…
Descriptors: Engineering Education, Energy, Data Analysis, Weather
Natriello, Gary, Ed. – National Academy of Education, 2013
With the spread of adaptive technologies that customize the user experience in response to individual users, it is not surprising that such experiences are increasingly found in educational settings or in tools to facilitate learning. The National Academy of Education commissioned a background paper and held two meetings of scholars, policy…
Descriptors: Educational Technology, Appropriate Technology, Educational Research, Learning Processes
Meyer, Daniel Z.; Avery, Leanne M. – Science Educator, 2010
In this article, the authors offer a framework that identifies two critical problems in designing inquiry-based instruction and suggests three models for developing instruction that overcomes those problems. The Protocol Model overcomes the Getting on Board Problem by providing students an initial experience through clearly delineated steps with a…
Descriptors: Data Collection, Inquiry, Science Instruction, Teaching Methods
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Apedoe, Xornam; Ford, Michael – Science & Education, 2010
This article is an argument about something that is both important and severely underemphasized in most current science curricula. The empirical attitude, fundamental to science since Galileo, is a habit of mind that motivates an active search for feedback on our ideas from the material world. Although more simple views of science manifest the…
Descriptors: Feedback (Response), Research Methodology, Data Collection, Science Curriculum
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Dubois, Cathy; Long, Lori – International Journal on E-Learning, 2012
E-learning researchers face considerable challenges in creating meaningful and generalizable studies due to the complex nature of this dynamic training medium. Our experience in conducting workplace e-learning research led us to create this guide for planning research on e-learning. We share the unanticipated complications we encountered in our…
Descriptors: Electronic Learning, Course Content, Instructional Design, Program Implementation
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