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Download full textPilar Cuevas-Ruiz; Luz Rello; Ismael Sanz; Almudena Sevilla – Annenberg Institute for School Reform at Brown University, 2025
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…
Descriptors: Artificial Intelligence, Individualized Instruction, Reading Skills, Equal Education
Peer reviewedZetriuslita; Rezi Ariawan; Suripah; Ana Yulianti; Riyan Hidayat – Educational Process: International Journal, 2025
Background/purpose: This study aims to improve students' mathematical critical-numeracy thinking skills by applying the Problem-Based Learning-Autograph model. Materials/methods: This study used a mixed method with a sequential explanatory strategy, and the research design is a one-group pretest-posttest design. The population included students…
Descriptors: Problem Based Learning, Critical Thinking, Numeracy, Calculus
Direct linkMayhew, Emma – Journal of Political Science Education, 2019
Students within higher education increasingly expect a teaching and learning environment which makes effctive use of technology enhanced learning and respond particularly well to information delivered using a visual medium. One way in which colleagues have responded is through the increased use of new, free presentation software. This review…
Descriptors: College Students, Computer Software, Computer Uses in Education, Learner Engagement
Azimi, Esmaeil; Jafari, Leila; Mahdavinasab, Yousef – Education and Information Technologies, 2023
This study employed the design-based research (DBR) methodology to explore how to design instructional prompts integrated into a computer-based cognitive tool, GeoGebra, for gifted mathematics education. This study was divided into two iterative research phases lasting for 3 semesters, in which differentiating the instructional prompts for gifted…
Descriptors: Design, Computer Assisted Instruction, Prompting, Educational Technology
Ioannis Rizos; Nikolaos Gkrekas – European Journal of Science and Mathematics Education, 2023
Proof, as a central and integral part of mathematics, is an essential component of mathematical education and is considered as the basic procedure for revealing the truth of mathematical propositions and for teaching productive reasoning as part of human civilization. Is there therefore room for conjectures in mathematics? In this paper after…
Descriptors: Geometry, Mathematics Instruction, Elementary School Students, Validity
Chen, Wenli; Tan, Jesmine S. H.; Zhang, Si; Pi, Zhongling; Lyu, Qianru – Educational Technology Research and Development, 2023
Nurturing twenty-first-century competency is one important agenda in this era, especially in developing collaborative learning and critical thinking skills. Yet, facilitating such a computer-supported collaborative learning (CSCL) environment is challenging. Although several technological platforms from past research studies were developed to…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learning Analytics, Educational Technology
Marwa Hafour – Language Learning & Technology, 2025
Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…
Descriptors: Foreign Countries, Multilingualism, English (Second Language), Second Language Learning
Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
Rudy Loock; Benjamin Holt – Technology in Language Teaching & Learning, 2024
At a time when language trainers need to determine how best to integrate new digital tools that provide students with linguistic information, our aim in this article is to assess the potential value of information provided by two types of tools now widely used by students: machine translation via online translators and state-of-the-art generative…
Descriptors: Artificial Intelligence, Teaching Methods, Translation, Computer Assisted Instruction
Janet Ruppert; Diego Velazquez-Ramos; Ricarose Roque; R. Benjamin Shapiro – Learning, Media and Technology, 2024
Learning around artificial intelligence (AI)-powered technologies that attends to power is an urgent and widely felt priority among the learning sciences and CS ed broadly. Popular approaches to AI education focus on technical skills, with far less theoretical and practical work around critical and justice-centered AI learning. Adding to this…
Descriptors: Artificial Intelligence, Art, Workshops, Aesthetic Education
Aybüke Pabuçcu Akis – Science Education International, 2024
The dramatic increase in science, technology, engineering, and mathematics (STEM) education studies has resulted in more authors promoting the use of Arduino in STEM education. Although there are educational research studies utilizing bibliometric procedures for the exploration of Arduino and STEM separately, there is a further need for research…
Descriptors: STEM Education, Bibliometrics, Foreign Countries, Teaching Methods
Lisnani; Afiliana Likurnia Stevani; Benidiktus Tanujaya; Sri Adi Widodo – Mathematics Teaching Research Journal, 2025
The development of Android-based mathematics learning media aligns with the advancements of Industrial Era 5.0. This study aims to develop an Android-based mathematics learning media on geometry that is contextually relevant to tourist destinations. The methodology employed was the ADDIE approach, comprising five phases: analysis, design,…
Descriptors: Geometry, Tourism, Mathematics Instruction, Grade 4
Kathryn Early; Amiee Sanders; W. Gary Martin – Mathematics Teacher: Learning and Teaching PK-12, 2025
Vectors have important applications both within and outside mathematics, but the concept of vectors is often taught to students in a less-than-engaging way, leading to students feeling inadequate and frustrated. This article describes the use of a mathematical microworld, "Driving with Vectors," to explore vectors using equitable…
Descriptors: Mathematics Instruction, Teaching Methods, Geometric Concepts, Algebra
Ma. Louise Antonette N. De Las Peñas; John Chris T. Kwong; Peter Antonio B. Banzon; Philip A. Martinez; Wilbur Isaac G. Lapada; Julian N. Eballa III; John Emil C. Sebastian; Miguel D. Asido; Jan Daryl M. San Juan; Debbie Marie B. Verzosa; Jumela F. Sarmiento; Agnes D. Garciano; Mark Anthony C. Tolentino; Maria Alva Q. Aberin; Juan Carlo F. Mallari – International Association for Development of the Information Society, 2023
This paper discusses the distribution, through a digital datacasting framework, of mathematical resources for Grades 1 to 7 to two schools in a community in the Philippines. Among the mathematical resources made available, are mathematical applications (apps), which run on mobile technologies, that have been created to help in the mathematical…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Computer Assisted Instruction
Serdar Tekin – Journal of Learning and Teaching in Digital Age, 2024
The enormous developments in technology and hence the widespread use of hand-held devices in the last few decades have led to great interest in mobile-assisted language learning (MALL) as a new way of language education. MALL is considered an effective method particularly for young language learners due to their higher level of familiarity with…
Descriptors: Computer Assisted Instruction, Second Language Learning, Ethics, Quasiexperimental Design
