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A Multidimensional Taxonomy for Learner-AI Interaction
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Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
There is a need to conceptualize a multidimensional taxonomy for learner-AI interaction. This conceptual/perspective article shares recent work on AI learner education and further presents new conceptions for a multidimensional taxonomy for learner-AI interaction. A review of the literature is conducted (N = 11). Open coding is used to summarize…
Descriptors: Journal Articles, Artificial Intelligence, Taxonomy, Man Machine Systems
Empowering ELA Teachers: Recommendations for Teacher Education in the AI Era
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Kathleen J. Kennedy; Jill M. Castek – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This study examined how discourses surrounding Generative artificial intelligence (GenAI) tools in K-12 English language arts (ELA) classrooms construct relationships between teachers, students, and digital platforms. Drawing upon critical literacy theory and teaching as a sociocultural practice, researchers analyzed qualitative data from 10…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Empowerment, Elementary Secondary Education
Redefining Writing for the Responsive Workplace
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Claire Lauer; Eva Brumberger – College Composition and Communication, 2019
In this article we argue that mobile, design, content, and social media technologies have fundamentally redefined the role of the writer in the workplace. Rather than the originator of content, the writer is becoming a sort of multimodal editor who revises, redesigns, remediates, and upcycles content into new forms, for new audiences, purposes,…
Descriptors: Authors, Work Attitudes, Work Environment, Human Factors Engineering
Technology in Note Taking and Assessment: The Effects of Congruence on Student Performance
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Barrett, Matthew E.; Swan, Alexander B.; Mamikonian, Ani; Ghajoyan, Inna; Kramarova, Olga; Youmans, Robert J. – International Journal of Instruction, 2014
This study examined the encoding specificity principle in relation to traditional and computer-based note taking and assessment formats in higher education. Students (N = 79) took lecture notes either by hand (n = 40) or by computer (n = 39) and then completed either a computer or a paper-based assessment. When note taking and assessment formats…
Descriptors: Notetaking, Congruence (Psychology), Higher Education, College Students
Resisting Age Bias in Digital Literacy Research
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Bowen, Lauren Marshall – College Composition and Communication, 2011
Through an eighty-one-year-old woman's literacy narrative, I argue that literacy researchers should pay greater attention to elder writers, readers, and learners. Particularly as notions of literacy shift in digital times, the perspective of a lifespan can reveal otherwise hidden complexities of literacy, including the motivational impact of…
Descriptors: Older Adults, Computer Literacy, Age Discrimination, Social Bias
Students' Risk Perceptions of Nanotechnology Applications: Implications for Science Education
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Gardner, Grant; Jones, Gail; Taylor, Amy; Forrester, Jennifer; Robertson, Laura – International Journal of Science Education, 2010
Scientific literacy as a goal of a science education reform remains an important discourse in the research literature and is a key component of students' understanding and acceptance of emergent technologies like nanotechnology. This manuscript focuses on undergraduate engineering students' perceptions of the risks and benefits posed by…
Descriptors: Student Attitudes, Risk, Scientific Literacy, Engineering Education