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Thomas Rogers; Mike Carbonaro – Journal of Teaching and Learning, 2025
This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Computer Uses in Education
Nurzhanat Shakirova; Iza Berechikidze; Elvira Gafiyatullina – Education and Information Technologies, 2024
This study evaluated the effect of using AR technology to develop environmental literacy (RQ1), motivation (RQ2), and perceived cognitive load (RQ3) among high school students. The sample of participants in this study included 155 10th -grade students in general education. They took a semester-long Natural Resource Ecology course. The participants…
Descriptors: High School Students, Educational Technology, Student Motivation, Environment
First Language Literacy and Second Language Oracy: A Partial Replication of Foster and Skehan (1996)
Ryan, Jonathon; Foster, Pauline; Fester, Anthea; Wang, Yi; Field, Jenny; Kearney, Celine; Yap, Jia Rong – Language Learning, 2023
This article responds to calls for greater inclusivity in second language acquisition research and, more specifically, to calls to explore further the impact of first language literacy on second language oracy (e.g., Tarone et al., 2009). We conducted a partial replication of Foster and Skehan's (1996) influential study of task complexity,…
Descriptors: Second Language Learning, Oral Language, Native Language, Cognitive Processes
Kym Fry; Lyn English; Katie Makar – Mathematics Education Research Journal, 2024
The teaching and learning of statistical thinking begins at a young age in Australia, with a focus on data representation and interpretation from Foundation Year (age 5), and the collection, sorting and categorising of items from the natural environment starting even earlier. The intangible concept of "data," as part of statistical…
Descriptors: STEM Education, Foreign Countries, Student Attitudes, Grade 4
Bolinas, Julius Cesar; Torrisi-Steele, Geraldine – International Journal of Adult Education and Technology, 2022
Design is a quality of the material world and refers to the production of objects and the processes used to make them. In the physical world, design refers to form and function. In the digital world, the construct of design embodies meaning making. Immersed in a digital world, the ability of individuals to fully participate in contemporary society…
Descriptors: Higher Education, Design, Multiple Literacies, Cognitive Processes
Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – TEACHING Exceptional Children, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Elementary Secondary Education, Multiple Literacies, Statistics Education, Data Analysis
Cottone, Amanda M.; Yoon, Susan A.; Shim, Jooeun; Coulter, Bob; Carman, Stacey – Instructional Science: An International Journal of the Learning Sciences, 2023
Educating young learners to reason with data is increasingly important given our data-saturated society; yet teachers need support in recognizing and facilitating apt epistemic performance (which involves the beliefs and practices necessary to successfully establish, critique, and use data and knowledge within a domain) regarding data literacy…
Descriptors: Elementary School Students, Learning Processes, Data, Multiple Literacies
Qian, Yingxiao; Choi, Ikseon – Educational Technology Research and Development, 2023
Echoing the increasing emphasis on STEM literacy, computational thinking has become a national priority in K-12 schools. Scholars have acknowledged abstraction as the keystone of computational thinking. To foster K-12 students' computational thinking and STEM literacy, students' ability to think abstractly should be enhanced. However, the existing…
Descriptors: Elementary Secondary Education, Computation, Thinking Skills, Abstract Reasoning
Song, Boon Khing – Assessment & Evaluation in Higher Education, 2022
In contemporary feedback research, effective feedback does not depend on merely the characteristics of feedback but also on learners' ability to understand, manage and use the information. Known as feedback literacy, it refers to learners' social cognitive capacity, affective capacity and disposition prior to substantial engagement with feedback.…
Descriptors: Foreign Countries, College Students, Feedback (Response), Multiple Literacies
Heise, Megan E. – ProQuest LLC, 2023
We are currently experiencing unprecedented waves of forced migration (UNHCR, 2022a), leading to an increase in anti-refugee rhetorics which in turn fuel policies that have life or death consequences for refugees (Gotlib, 2017). In this context, refugee voices are urgently needed in scholarly, public, and political realms, yet these perspectives…
Descriptors: Refugees, Land Settlement, Personal Narratives, Personal Autonomy
Nedungadi, Prema; Devenport, Kathryn; Sutcliffe, Rita; Raman, Raghu – Interactive Learning Environments, 2023
The adult learning ecology has expanded to include digital access, requiring enhancement of theories in the specific context of low-literate learners who may not have previously benefited from educational technology. The Digital Learning Ecology (DLE) framework identifies the three dimensions of context, design, and motivation, considering…
Descriptors: Adult Learning, Adult Literacy, Cognitive Processes, Multimedia Instruction

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