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Basil Hanafi; Mohammad Ali; Devyaani Singh – Discover Education, 2025
Quantum computing is the beginning of a new age for diverse industries, and educational technologies will significantly benefit from such quantum developments. This is a novel approach, applying quantum algorithms to enhance educational technologies, with no previous studies addressing the integration of quantum computing for personalized…
Descriptors: Educational Technology, Computer Security, Ethics, Algorithms
Mohamed Zine; Fouzi Harrou; Mohammed Terbeche; Ying Sun – Education and Information Technologies, 2025
E-learning readiness (ELR) is critical for implementing digital education strategies, particularly in developing countries where online learning faces unique challenges. This study aims to provide a concise and actionable framework for assessing and predicting ELR in Algerian universities by combining the ADKAR model with advanced machine learning…
Descriptors: Electronic Learning, Learning Readiness, Artificial Intelligence, Organizational Change
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Ozga, Jenny; Baird, Jo-Anne; Saville, Luke; Arnott, Margaret; Hell, Niclas – Oxford Review of Education, 2023
The COVID-19 pandemic suspended established practices that, in normal times, are seen as central to the functioning of education systems. For example, in England, school closures led to the cancellation of national examinations in 2020, and their attempted replacement with an algorithmic model. Following public outcry about what were seen as the…
Descriptors: COVID-19, Pandemics, Foreign Countries, School Closing
Sahlgren, Otto – Learning, Media and Technology, 2023
As awareness of bias in educational machine learning applications increases, accountability for technologies and their impact on educational equality is becoming an increasingly important constituent of ethical conduct and accountability in education. This article critically examines the relationship between so-called algorithmic fairness and…
Descriptors: Algorithms, Accountability, Data Collection, Educational Policy
Ingrid del Valle García-Carreño – European Educational Researcher, 2025
The rapid development of Generative Artificial Intelligence in education presents new opportunities but also raises concerns about inequality and the integrity of academic practices. This study explores its impact, trends, and risks in education through an extensive review of existing academic literature. The methodology includes a systematic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Clutterbuck, Jennifer – Policy Futures in Education, 2023
The Chameleon Educational Policy Reforms' (CEPR) 25th anniversary was celebrated at the Global General Assembly with the 2075 Decennial Analysis of Schooling (DecAS) announcement of the attainment of a benefit-cost ratio of >1.0. The attainment of a global positive net value of education is directly linked to the educational reforms established…
Descriptors: Educational Policy, Policy Analysis, Educational Change, Cost Effectiveness
Whitney-Smith, Rachael Margaret – Journal of Pedagogical Research, 2023
As we move further into the digital age, the acquisition of digital literacy (DL) and computational thinking (CT) skills is emerging internationally as an essential goal for students in contemporary school curricula. As the world becomes more uncertain and volatile due to impacts of artificial intelligence (AI), international unrest, climate…
Descriptors: Thinking Skills, Mathematics Curriculum, National Curriculum, Mathematics Instruction
Erin C. Yang; Robby Divine; Christine S. Kang; Sidney Chan; Elijah Arenas; Zoe Subol; Peter Tinker; Hayden Manninen; Alicia Feichtenbiner; Talal Mustafa; Julia Hallowell; Isiac Orr; Hugh Haddox; Brian Koepnick; Jacob O'Connor; Ian C. Haydon; Karla-Luise Herpoldt; Kandise Van Wormer; Celine Abell; David Baker; Alena Khmelinskaia; Neil P. King – Journal of Chemical Education, 2022
Undergraduate research experiences can improve student success in graduate education and STEM careers. During the COVID-19 pandemic, undergraduate researchers at our institution and many others lost their work-study research positions due to interruption of in-person research activities. This imposed a financial burden on the students and…
Descriptors: Undergraduate Students, Teaching Methods, COVID-19, Pandemics
Peer reviewedCarroll, William M. – Journal of Mathematical Behavior, 1996
Examines problem-solving results among second-grade students in three schools that were all using a reformed mathematics curriculum. Except for one problem, more students used a mental procedure than the standard written algorithms, and both methods were used with approximately the same degree of accuracy. (AIM)
Descriptors: Algorithms, Educational Change, Elementary Education, Mathematical Applications
Burns, Marilyn – Phi Delta Kappan, 1994
Call for reforming mathematics teaching has been sounded loudly and strongly. Change from teaching standard algorithms to having children invent their own methods requires major pedagogical shift. Teachers must trust students' inventiveness and ability to make sense of numerical situations, be committed to thinking and reasoning as cornerstone of…
Descriptors: Algorithms, Arithmetic, Creative Thinking, Educational Change
Peer reviewedNakhleh, Mary B.; And Others – Journal of Chemical Education, 1996
Reports on a study, Project REMODEL, that implemented and evaluated innovations in lecture, laboratory, and assessment for students in the introductory sequence for undergraduate chemistry. Results indicate that special sessions and conceptual exam questions can improve students' abilities to work successfully with both concepts and algorithms.…
Descriptors: Algorithms, Chemistry, Educational Change, Educational Innovation
Peer reviewedKamii, Constance; And Others – Educational Horizons, 1991
Based on Piaget's theory that children acquire number concepts by constructing them from within, the authors conclude that teaching algorithms harms mathematics learning. A better approach is allowing them to construct their own logico-mathematical knowledge and invent their own efficient procedures. (JOW)
Descriptors: Algorithms, Computation, Educational Change, Educational Strategies
Peer reviewedMay, Lola June – Arithmetic Teacher, 1980
Changes in the elementary and junior high school mathematics curriculum that have occurred in the last 20 years and that may occur in the future are discussed. (MK)
Descriptors: Algorithms, Calculators, Educational Change, Elementary Education
Peer reviewedThomas, Robert; Gerofsky, Susan – For the Learning of Mathematics, 1997
Presents the text of a message sent to Susan Gerofsky by Robert Thomas after reading her article on a linguistic and narrative view of word problems in mathematics education. Gerofsky's response is also included. (DDR)
Descriptors: Algorithms, Concept Formation, Educational Change, Educational Strategies
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