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Nature of Engineering: A Cognitive and Epistemic Account with Implications for Engineering Education
Miri Barak; Tamar Ginzburg; Sibel Erduran – Science & Education, 2024
Engineering education has slowly been making its way into schools with the aim of promoting engineering literacy, which is central to learning and working in a technology-oriented society. Educators and policy makers advocate the need for developing students' understanding of the nature of engineering (NOE); yet, there is an ongoing debate on the…
Descriptors: Engineering Education, Science Curriculum, Integrated Curriculum, Educational Research
Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
Jon M. Wargo; Kierstin Giunco – Reading Teacher, 2024
Offering a heuristic to apprentice young children into the disciplines, we examine how one multiage classroom teacher leveraged the resources of personal digital inquiry to forward students' knowledge building.
Descriptors: Educational Technology, Literacy, Elementary School Teachers, Elementary School Students
Nacu, Denise; Martin, Caitlin K.; Pinkard, Nichole – Educational Technology Research and Development, 2018
With the growing emphasis on developing 21st century skills among today's youth, there is continued optimism about the possibilities granted by increasing access to networked technologies, particularly for encouraging youth to pursue their interests and take ownership of their learning. Yet, research demonstrates the importance of adult support in…
Descriptors: Heuristics, Middle Schools, Learning Experience, Design
Verma, Mudit – Online Submission, 2018
In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Computer Software
Lu, Yun; Vasko, Francis J.; Drummond, Trevor J.; Vasko, Lisa E. – Mathematics Teacher, 2014
If the prospective students of probability lack a background in mathematical proofs, hands-on classroom activities may work well to help them to learn to analyze problems correctly. For example, students may physically roll a die twice to count and compare the frequency of the sequences. Tools such as graphing calculators or Microsoft Excel®…
Descriptors: Probability, Mathematical Logic, Validity, Heuristics
Perrotta, C.; Evans, M. A. – Journal of Computer Assisted Learning, 2013
This paper argues that the emphasis on orchestration as a metaphor for teaching in technology-enhanced learning (TEL) environments, featured in recent academic discussions, is an opportunity to broaden the scope of the inquiry into educational technology. Drawing on sociological literature and research that investigated the systemic factors that…
Descriptors: Instructional Design, Politics of Education, Information Technology, Educational Technology
Adams, Catherine A.; Thompson, Terrie Lynn – International Journal of Qualitative Studies in Education (QSE), 2011
This article argues the importance of including significant technologies-in-use as key qualitative research participants when studying today's digitally enhanced learning environments. We gather a set of eight heuristics to assist qualitative researchers in "interviewing" technologies-in-use (or other relevant objects), drawing on concrete…
Descriptors: Qualitative Research, Interviews, Ecology, Educational Technology
Webb, Adam – Online Submission, 2011
Mobile Internet-based technologies have created the opportunity for many students to view writing and research as an everyday activity. While many students use these kinds of technologies on a daily basis in and outside of the classroom, not many writing pedagogies reflect this shift or capitalize on how beginner writers use them to effectively…
Descriptors: Constructivism (Learning), Heuristics, Writing Instruction, Teaching Methods
Sweet, John; Ellaway, Rachel – Innovations in Education and Teaching International, 2010
In recent years a combination of ever more flexible and sophisticated Web technologies and an explosion in the quantity of online content has sparked learning technologists around the world to pursue the promise of the "reusable learning object" or RLO with the idea that RLOs could be reused in different educational contexts, thereby…
Descriptors: Adult Education, Heuristics, Educational Technology, Learning Activities
Swan, Gerry; Mazur, Joan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2011
Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…
Descriptors: Knowledge Management, Preservice Teachers, Formative Evaluation, Heuristics
Silber, Kenneth H. – Educational Technology, 2007
The author argues that Instructional Design (ID) is a problem-solving process, not a procedure, made up of a thinking process common to designers in many fields, and a set of well-accepted, underlying ID principles. This article presents a model of those principles. Further, it argues that teaching ID as a well-structured procedure is not helpful…
Descriptors: Instructional Design, Models, Problem Solving, Educational Technology
Borwein, Jonathan M. – International Journal of Computers for Mathematical Learning, 2005
The emergence of powerful mathematical computing environments, the growing availability of correspondingly powerful (multi-processor) computers and the pervasive presence of the Internet allow for mathematicians, students and teachers, to proceed heuristically and "quasi-inductively." We may increasingly use symbolic and numeric computation,…
Descriptors: Professional Personnel, Mathematical Logic, Validity, Mathematics
Knowlton, Dave S.; Thomeczek, Melissa A. – Quarterly Review of Distance Education, 2007
This article provides guidance for meeting the educational needs of "learners on the periphery"--those learners who traditionally have been disenfranchised by formal education because of the structure and nature of face-to-face courses but who now may be returning to higher education due to the promises of the online classroom. The guidance comes…
Descriptors: Educational Needs, Online Courses, Heuristics, Vignettes
Hill, Paul T. – Education Next, 2006
The Bill & Melinda Gates Foundation, a philanthropic organization created by the Microsoft founder and his wife in 2000, has already invested nearly a billion dollars in an effort to redesign the American high school. It supports some 1,500 existing schools; 450 of them are either restructured or brand new. But the foundation's focus was not…
Descriptors: Economically Disadvantaged, High Schools, Educational Change, Accountability
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