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María Del Carmen Suárez Millán; Juan Pablo Betancourt Arango – Discover Education, 2025
Introduction: The science, technology, engineering, arts and mathematics (STEAM) approach is currently representing a new teaching and learning process, trying to make an interconnection between these disciplines and their transversalization with the arts to potentiate the thematic scope in students and create new pedagogical and didactic…
Descriptors: STEM Education, Art Education, Teacher Education Programs, Teaching Methods
Amedeo Pachera; Stefania Dumbrava; Angela Bonifati; Andrea Mauri – ACM Transactions on Computing Education, 2025
Query languages are the foundations of database teaching and education practices. The broad adoption of graph databases contrasts with the limited research into how they are taught. Contrary to relational databases, graph databases allow navigational queries with higher expressivity and lack an a priori schema. In this article, we design a…
Descriptors: Error Patterns, Graphs, Programming Languages, Databases
Senol Sen – Biochemistry and Molecular Biology Education, 2024
Process oriented guided inquiry learning (POGIL), is a group-learning method that contributes to the active participation of learners in learning/teaching environments. However, a standard process for using the POGIL in classes is not available. In addition, no systematic reviews using bibliometric analysis in the literature examine the studies…
Descriptors: Inquiry, Active Learning, Research Reports, Databases
Hilde Margrethe Hegna; Trine Ørbaek – Teaching in Higher Education, 2024
This systematic literature review provides an overview of existing empirical research on embodied teaching and learning in higher education. The review is based on a literature search in eleven databases resulting in 247 articles being included. These articles span a wide range of disciplines in higher education, with 66 articles situated in…
Descriptors: Teaching Methods, Learning Processes, Interdisciplinary Approach, Higher Education
Da Xing; Yunjung Lee; Gyun Heo – Measurement: Interdisciplinary Research and Perspectives, 2025
Flow is an optimal experience that has received particular attention in learning due to its potential association with enhanced learning achievement. However, the strength and direction of the putative flow-fulfillment relationship remain unclear. Therefore, a PRISMA-directed systematic review was conducted in 2022 to examine the empirical…
Descriptors: Meta Analysis, Research Reports, Correlation, Online Courses
Patrick N. Beymer; Matthew J. Schell; Kimberly M. Alberts; Vicky Phun; Joshua M. Rosenberg; Jennifer A. Schmidt – Journal of Research in Science Teaching, 2025
Student engagement is widely considered to be a multidimensional construct consisting of behavioral, cognitive, and affective components. Recent research has examined student engagement in science learning contexts using holistic approaches that account for multidimensionality through the identification of engagement profiles. However, it is not…
Descriptors: Informal Education, Science Education, Learner Engagement, Profiles
Jobin Jose; Alice Joselph; Pratheesh Abraham; Roshna Varghese; Beenamole T.; Sony Mary Varghese; Suby Elizabeth Oommen – Online Submission, 2024
As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive…
Descriptors: Transformative Learning, Bibliometrics, Trend Analysis, Artificial Intelligence
Muhammad Zahrudin Afnan; Rinie Pratiwi Puspitawati; I. Isnawati – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Traditional approaches to intelligence often neglect the diverse cognitive profiles of learners, potentially limiting the inclusivity and effectiveness of educational practices. This review article examines the application of Howard Gardner's Theory of Multiple Intelligences (MI) within the context of biology education, with a particular focus on…
Descriptors: Multiple Intelligences, Learning Processes, Biology, Science Instruction
Tommy Hendrix; Syukri Yusuf Nasution – Knowledge Management & E-Learning, 2023
The learning process through forecasting patent information based on technology can provide the direction in which technology is needed, especially supporting developments into the future. Technology mapping through patent information in the market becomes leverage development of products. Foresight technology in a patent is a tool to predict…
Descriptors: Learning Processes, Intellectual Property, Marketing, Portfolios (Background Materials)
Yuhui Jing; Chengliang Wang; Yu Chen; Haoming Wang; Teng Yu; Rustam Shadiev – Education and Information Technologies, 2024
Bibliometric mapping is widely used in educational technology research to visualize research field development (e.g. the current status and trend). However, there has been limited research examining the present state, challenges, and potential applications of bibliometric mapping techniques in the field of educational technology. In an effort to…
Descriptors: Bibliometrics, Educational Technology, Information Technology, Online Courses
Kermarrec, Gilles; Regaieg, Ghada; Clayton, Rebecca – Physical Education and Sport Pedagogy, 2022
Introduction: Students' learning strategies and self-regulation processes are considered highly important in academic and Physical Education contexts. Educational researchers have called for mixed-method designs to investigate how students learn and not only what they learn. The aim of this literature review was to analyze the use of mixed-method…
Descriptors: Learning Strategies, Physical Education, Metacognition, Learning Processes
Sevda Göktepe Yildiz; Seda Göktepe Körpeoglu – International Electronic Journal of Mathematics Education, 2025
Human intelligence is related to cognitive skills such as the acquisition of new knowledge, problem-solving and abstract thinking in learning processes. These processes are of great importance in mathematical education. Artificial intelligence (AI) can help students develop these cognitive skills by providing customized teaching methods according…
Descriptors: Educational Trends, Trend Analysis, Mathematics Education, Databases
Çalik, Muammer; Ultay, Neslihan; Bag, Hasan; Ayas, Alipasa – Chemistry Education Research and Practice, 2023
Through a meta-analysis, this study examines how effective particulate nature of matter (PNM)-based intervention studies are at improving academic performance. Well-known databases (e.g., ERIC, Springer Link, Taylor & Francis, and ScienceDirect) were used to look for the PNM-based intervention studies via specific keyword patterns. Also, a…
Descriptors: Science Achievement, Meta Analysis, Intervention, Databases
Musling, Mohd Nizwan; Ismail, Muhammad Zahid; Darmi, Ramiaida; Kamaruddin, Azni Yati; Jaffar, Mohammad Najib – Journal of Language and Linguistic Studies, 2022
Moral value is one of the crucial elements in human development, where moral or civic education formed a substantial part of the focus on personal development. This study examined the inculcation of universal moral values (UMVs) using language in teaching and learning as a vehicle to instil the UMVs. It has been ascertained through previous…
Descriptors: Moral Values, Second Language Learning, Second Language Instruction, Meta Analysis
Najoua Ghani; Mohamed Taiebine; Moulay Hassan Farih; Chakib Nejjari – Discover Education, 2025
Background: The healthcare and educational sectors in Africa are confronted with distinct challenges, such as an increasing population, a lack of adequately trained medical personnel, and insufficient educational resources. In this context, current medical education approaches may not be adequately preparing graduates to address these complex…
Descriptors: Medical Education, Problem Based Learning, Learning Processes, Information Retrieval

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