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Nie, Rui; Guo, Qi; Morin, Maxim – Educational Measurement: Issues and Practice, 2023
The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, "Machine Learning" (ML) emerges as an increasingly important skill in the toolbox of measurement…
Descriptors: Artificial Intelligence, Electronic Learning, Literacy, Educational Assessment
Du, Hanxiang; Xing, Wanli – Distance Education, 2023
Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…
Descriptors: Computer Mediated Communication, Discussion Groups, Classification, Identification
Brave, Kathryn Lavin; McMullen, Mary; Martin, Cecile – Mathematics Teacher: Learning and Teaching PK-12, 2021
During a time when students are accessing instruction virtually because of COVID-19, reflecting on the sixth of the Standards for Mathematical Practice (SMP 6) is a vital step for educators to take. Although the Common Core State Standards for Mathematics (NGA Center and CCSSO 2010) identifies SMP 6 as Attend to precision, associated expertise…
Descriptors: COVID-19, Pandemics, Academic Standards, Mathematics Instruction
McClure, Marissa – Studies in Art Education: A Journal of Issues and Research in Art Education, 2021
In this article, I share how SQUAD Art Studio functions as an alternative, community-based, multisite Saturday art lab school for negotiating theory and practice with preservice art educators. SQUAD Art Studio educators' work confronts developmentalist images of children and preconceptions about young children and digital media. We revalue images…
Descriptors: Art Education, Art Teachers, Preservice Teachers, Laboratory Schools
Guy, Richard – Advances in Physiology Education, 2012
Anyone who has taught neurophysiology would be aware of recurring concepts that students find difficult to understand. However, a greater problem is the development of misconceptions that may be difficult to change. For example, one common misconception is that action potentials pass directly across chemical synapses. Difficulties may be…
Descriptors: Computer Assisted Instruction, Physiology, Electronic Learning, Feedback (Response)
Njenga, James Kariuki; Fourie, Louis Cyril Henry – British Journal of Educational Technology, 2010
Proponents have marketed e-learning by focusing on its adoption as the right thing to do while disregarding, among other things, the concerns of the potential users, the adverse effects on users and the existing research on the use of e-learning or related innovations. In this paper, the e-learning-adoption proponents are referred to as the…
Descriptors: Electronic Learning, Higher Education, Ideology, Misconceptions
Walser, Nancy, Ed. – Harvard Education Press, 2011
"Harvard Education Letter" is published bimonthly at the Harvard Graduate School of Education. This issue of "Harvard Education Letter" contains the following articles: (1) Hybrid Schools for the iGeneration: New Schools Combine "Bricks" and "Clicks" (Brigid Schulte); (2) Dual Language Programs on the Rise: "Enrichment" Model Puts Content Learning…
Descriptors: Misconceptions, English (Second Language), Second Language Learning, Formative Evaluation
Vanourek, Greg – National Association of Charter School Authorizers (NJ1), 2011
The Internet has had a profound effect on everyone's lives, work, politics, and commerce--and increasingly, on the schools. Virtual schools have arrived, creating new opportunities for students, and also a set of challenges to the notions about schooling and the policies that govern public education. The potential application of technology in…
Descriptors: Charter Schools, Technology Uses in Education, Electronic Learning, Blended Learning
Lee, Young-Jin – Journal of Computers in Mathematics and Science Teaching, 2010
With a rapid increase in the number of people who own a handheld device, such as an iPod, education researchers and administrators started looking for a way to use a handheld device to foster student learning. However, the current use of a mobile device in education is quite limited. With few exceptions, it is mostly used as a simple media player…
Descriptors: Physics, Handheld Devices, Electronic Learning, Technology Uses in Education
Quillen, Ian – Education Week, 2011
It's been a rough time for the image of K-12 virtual education. Studies in Colorado and Minnesota have suggested that full-time online students are struggling to match the achievement levels of their peers in brick-and-mortar schools. Articles in "The New York Times" questioned not only the academic results for students in virtual schools, but…
Descriptors: Elementary Secondary Education, Computer Uses in Education, Educational Technology, Educational Opportunities
Bossu, Carina; Bull, David; Brown, Mark – Distance Education, 2012
This article discusses the role of open and distance learning to widen participation and promote social inclusion within Australian higher education, as well as the benefits that open educational resources (OER) could bring to that context. It also explores some of the most relevant social inclusion policies and related initiatives developed in…
Descriptors: Foreign Countries, Higher Education, Informal Education, Distance Education
Guri-Rosenblit, Sarah – Journal of Distance Education, 2009
This article discusses in its first part three common misconceptions related to the operation of distance education providers in the digital age: The tendency to relate to e-learning as the new generation of distance education; the confusion between ends and means of distance education; and the absence of the teachers' crucial role in the…
Descriptors: Distance Education, Quality Control, Misconceptions, Electronic Learning
Lynch, Collin; Ashley, Kevin D.; Pinkwart, Niels; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2009
In this paper we consider prior definitions of the terms "ill-defined domain" and "ill-defined problem". We then present alternate definitions that better support research at the intersection of Artificial Intelligence and Education. In our view both problems and domains are ill-defined when essential concepts, relations, or criteria are un- or…
Descriptors: Definitions, Artificial Intelligence, Problem Solving, Educational Research
Wicks, Matthew – International Association for K-12 Online Learning, 2010
The fact that online learning has been successful for many schools across the country does not mean that it has been free of challenges. Indeed, there are numerous issues and challenges in online learning. Few policymakers anticipated that any space time, any space place learning was possible when most education laws were authored over the past 50…
Descriptors: Electronic Learning, Online Courses, Computer Uses in Education, Educational Technology
Miller, Kenneth W. – Science Educator, 2008
With universities, teacher education institutions, and high schools gearing up heavily in online course delivery in every discipline, science educators specifically are asking themselves "How do we provide this access to our students and still maintain our pedagogical integrity in science instruction?" This question seems to be at the heart of a…
Descriptors: Electronic Learning, Distance Education, Online Courses, Science Instruction
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