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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
Stager, Gary S. – Independent School, 2015
Gary S. Stager is the coauthor of "Invent To Learn--Making, Tinkering, and Engineering in the Classroom," founder of "Constructing Modern Knowledge," special assistant to the head of school for innovation at the Willows Community School (California), and a teacher educator. In this article he begins by describing and debunking…
Descriptors: Misconceptions, Educational Technology, Technology Uses in Education, Power Structure
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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
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Cumming, Geoff – Australian Educational Computing, 2005
In the first issue of "Australian Educational Computing," in 1986, Cumming and Abbott reported a controlled comparison of top-down and bottom-up teaching strategies for Grade 5 and 6 students' use of a simple logic programming language. They found that both strategies were rated highly by students and teachers, and gave useful learning;…
Descriptors: Programming Languages, Learning Strategies, Computer Uses in Education, Programming
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Madison, Sandra; Gifford, James – Journal of Research on Technology in Education, 2002
Describes a study that explored the parameter-related misconceptions of two college students in an introductory programming course. Explains how they were able to construct correctly functioning modular programs by making adjustments to formal parameter lists; discusses results within a constructivist framework; and suggests implications for…
Descriptors: Computer Science Education, Constructivism (Learning), Higher Education, Instructional Design