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Ekaterina Tour; Mark Pegrum; Shem Macdonald – English Australia Journal, 2025
As artificial intelligence (AI), and especially generative AI, are increasingly impacting daily life, it is becoming essential for learners to acquire AI literacy -- the capability to interact with AI at the interface of technology and the target language. Without AI literacy, they may struggle to navigate AI-driven systems and access benefits of…
Descriptors: English Learners, Technology Uses in Education, Educational Strategies, Artificial Intelligence
Vanessa Cappelle; Luiz Gustavo Franco; Danusa Munford – Science & Education, 2025
The paper reports how a teacher and her students use drawings as a resource for observations and how such observations are connected to different epistemic practices in science lessons. Interactional data in a 1st grade classroom were analyzed based on Ethnography in Education. Results show that the use of drawings materialized children's…
Descriptors: Freehand Drawing, Epistemology, Grade 1, Elementary School Science
An Thi Tan Nguyen; Dung Tran – Mathematics Education Research Journal, 2025
This study draws on quantitative reasoning research to explain how secondary mathematics preservice teachers' (PSTs) modelling competencies changed as they participated in a teacher education programme that integrated modelling experience. Adopting a mixed methods approach, we documented 110 PSTs' competencies in Vietnam using an adapted Modelling…
Descriptors: Statistical Analysis, Models, Competence, Teaching Skills
Nur Aini Khoo Ahmad Fuad Khoo; Heng Wen Qi; Sharifah Osman – International Electronic Journal of Mathematics Education, 2025
Students are indeed weak when it comes to understanding fractions and decimals. In line with the national curriculum, whole numbers and fractions are taught first before students start to learn decimals. By the time the students approach decimals, they should have acquired sufficient knowledge of whole numbers but limited knowledge of fractions.…
Descriptors: Mathematics Instruction, Teaching Methods, Instructional Innovation, Teaching Models
Zülküf Kiliç; Kemal Özgen – Journal of Theoretical Educational Science, 2025
The purpose of this study is to determine the opinions and self-efficacy beliefs of middle school students towards mathematical connections before and after the process in a learning environment prepared in the context of connections with different disciplines and including modeling tasks. An embedded experimental mixed method design was used in…
Descriptors: Middle School Students, Student Attitudes, Mathematics Instruction, Mathematical Models
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Lovelin Obi – Higher Education, Skills and Work-based Learning, 2025
Purpose: With increasing demand to enhance collaborative practices in Degree Apprenticeship (DA) programmes like Quantity Surveying Degree Apprenticeships (QSDA), there is a notable lack of models supporting employer engagement, particularly in curriculum design and delivery. This study aims to fill this gap. Design/methodology/approach: A…
Descriptors: Apprenticeships, Employers, Role, Affordances
Yang Zhang; Yangping Li; Weiping Hu; Huizhi Bai; Yuanjing Lyu – Journal of Science Education and Technology, 2025
Scientific creativity plays an essential role in science education as an advanced cognitive ability that inspires students to solve scientific problems inventively. The cultivation of scientific creativity relies heavily on effective assessment. Typically, human raters manually score scientific creativity using the Consensual Assessment Technique…
Descriptors: Eye Movements, Artificial Intelligence, Creativity, Scientific Concepts
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Mayssa Hayeen-Halloun; Michal Ayalon – Journal of Mathematics Teacher Education, 2025
This paper aims to characterize critical events noticed by novice mathematics teacher-educators (NMTEs) while they facilitate teacher education sessions. Twenty-four NMTEs enrolled in a university course on teaching teachers were asked to facilitate a series of three sessions with preservice teachers, identify critical events from those sessions…
Descriptors: Beginning Teachers, Mathematics Teachers, Teacher Educators, Observation
Xinyu Li; Yizhou Fan; Tongguang Li; Mladen Rakovic; Shaveen Singh; Joep van der Graaf; Lyn Lim; Johanna Moore; Inge Molenaar; Maria Bannert; Dragan Gaševic – Journal of Learning Analytics, 2025
The focus of education is increasingly on learners' ability to regulate their own learning within technology-enhanced learning environments. Prior research has shown that self-regulated learning (SRL) leads to better learning performance. However, many learners struggle to productively self-regulate their learning, as they typically need to…
Descriptors: Learning Analytics, Metacognition, Independent Study, Skill Development
Funda Ulugöl; Sezgin Vuran – Educational Policy Analysis and Strategic Research, 2025
This study aimed to compare the effectiveness and efficiency of the model-lead-test (MLT) and video modeling (VM) methods in teaching individuals with ID how to access and use the services provided by the Turkish state in digital environments. Four individuals participated in the study, in which the adapted alternating treatments design, one of…
Descriptors: Teaching Methods, Intellectual Disability, Technological Literacy, Citizenship
Liz Ebersole; Teresa S. Foulger; Yi Jin; Daniel James Mourlam – British Journal of Educational Technology, 2025
Social media has been shown to be an efficient way to engage in networked participatory scholarship (NPS), which is defined as the use of online social networks to share and further develop scholarship. As leaders in the field, educational technology scholars should be at the forefront of this practice. We used social network analysis (SNA) to…
Descriptors: Social Media, Pedagogical Content Knowledge, Technological Literacy, Scholarship
Achmad Bisri; Supardi; Yayu Heryatun; Hunainah; Annisa Navira – Journal of Education and Learning (EduLearn), 2025
In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…
Descriptors: Data Analysis, Models, Academic Achievement, Evaluation Methods
Kimberly Carroll Steward; David Gosselin; Devarati Bhattacharya; Mark Chandler; Cory T. Forbes – Journal of Geoscience Education, 2025
Foregrounding climate education in formal science learning environments provides students with opportunities to develop critical climate-related knowledge and skills. However, research has shown many challenges to teaching and learning about Earth's climate and global climate change (GCC). This longitudinal study aims to establish how secondary…
Descriptors: Climate, Ecology, Environmental Education, Longitudinal Studies

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