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Jonathan Brazil; Suijing Yang; Fabienne van der Kleij – Australian Council for Educational Research, 2025
This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Principles
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Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)
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Nuchsara C. Thongsan; Neil J. Anderson – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study investigates the integration of ChatGPT, a generative AI tool, into critical reading instruction for university-level EFL learners. Recognizing the importance of higher-order reading skills such as evaluating arguments, recognizing bias, synthesizing information, and generating counterarguments, the research explores how AI-supported…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Zeynep Yadigar Tosun; S. Ipek Kuru Gönen – Reading in a Foreign Language, 2025
This study investigates the impact of a seven-week extensive reading (ER) program integrated with a blended learning modality (face-to-face and online) on tertiary-level English as a Foreign Language (EFL) learners. In a mixed-methods research design, it investigated whether the systematic blended ER program affected learners' reading attitudes…
Descriptors: Blended Learning, Reading Instruction, Reading Programs, Second Language Learning
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Ulzhamal Konakbayeva; Perizat Baltasheva; Bakyt Kuanysheva; Indira Dauletova; Galiya Kydyrbayeva; Tatyana Karataeva – Educational Process: International Journal, 2025
Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with…
Descriptors: Artificial Intelligence, Microteaching, Teacher Effectiveness, Self Efficacy
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Adriaan Lochner – Perspectives in Education, 2025
Higher education institutions have various and mostly well-established methods for students to consult with their lecturers. Lecturers have traditionally expected students to make use of face-to-face interaction through after-class consultations and asking questions in class. It is, however, imperative that higher education reflects on whether…
Descriptors: Age Groups, Teacher Student Relationship, Higher Education, Technology Integration
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Wiets Botes – European Journal of STEM Education, 2025
The use of VR-based OERs in STEM education has the potential to enhance teaching and learning by making it more immersive and interactive. Despite their increased availability in higher education, there is limited understanding of how these resources support pre-service life science teachers' subject knowledge and pedagogical skills. This study…
Descriptors: Preservice Teachers, Student Attitudes, Science Teachers, Biological Sciences
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Journal of Research in Science Teaching, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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Calver, Michael; Fletcher, Douglas – American Biology Teacher, 2020
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…
Descriptors: Statistical Analysis, Data Collection, Biology, Science Laboratories
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Blanco, Philip – Physics Teacher, 2020
In the April 2018 issue of "TPT," Joseph Amato presented an analysis of intercontinental ballistic missile (ICBM) trajectories as applied to recent test launches from North Korea. Using properties of their elliptical paths, he derived relationships between launch velocity, elevation angle, and maximum range. However, this approach cannot…
Descriptors: Science Instruction, Scientific Concepts, Physics, Computer Simulation
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Yazici, Sevil – International Journal of Technology and Design Education, 2020
Digital design and fabrication tools obtain constraints affecting creativity in conceptual design phase. There is a necessity to have a better understanding of issues related to the rationalization process of form, material and fabrication. The objective of this paper is to integrate analogue craft into architectural design studio that can be…
Descriptors: Manufacturing, Building Design, Architectural Education, Computer Uses in Education
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Maseko, Melody; Zhou, Tinashe Gwendolyn; Tsokota, Theo – Education and Information Technologies, 2020
Failure of IT projects has risen to become an eyesore for most organisations. This is often attributed to the 'mum effect'- an individual's reluctance to report the exact position of troubled software projects. With the increasing digitalization of operations by most State Universities in Zimbabwe, the mum effect has the potential to rise to…
Descriptors: News Reporting, Information Technology, State Universities, Computer Software
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Zulkanain, Nani Amalina; Miskon, Suraya; Syed Abdullah, Norris – Education and Information Technologies, 2020
WhatsApp is one of the most popular and widely used communication platforms today. However, from an application in a few subject areas, this mobile application (app) can be distractive and cause users to lose their focus as it attracts and promotes social interaction among learning communities. In this study, firstly, qualitative research approach…
Descriptors: Computer Software, Guidelines, Social Networks, Pretests Posttests
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Gerber Hornink, Gabriel; Costa, Manuel Joao – Biochemistry and Molecular Biology Education, 2020
Virtual laboratory simulations can contribute to the educational objectives related to practical classes, especially in situations of online or hybrid teaching. We present a proposal for laboratory activity involving the quantification of proteins with the biuret reaction and measurement by visible light spectrometry. The student will be able to…
Descriptors: Science Instruction, Teaching Methods, Computer Software, Laboratory Experiments
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