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Jeremy Forest Price; Shuchi Grover – Community for Advancing Discovery Research in Education (CADRE), 2025
In this brief, the authors Jeremy Price and Shuchi Grover explore the exciting possibilities and critical challenges of generative AI (GenAI) for STEM teaching. They examine how GenAI may shape STEM classrooms in the near future and identify promising trajectories for integrating GenAI into STEM teaching, including the potential for personalized…
Descriptors: Artificial Intelligence, STEM Education, Computer Uses in Education, Individualized Instruction
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Atika Puspasari; Noni Agustina – Journal of English Teaching, 2025
Integrating artificial intelligence (AI) in English for Nursing instruction has become increasingly important as healthcare becomes more technologically driven and globally connected. This systematic review analyzes 28 studies published from 2022 to 2024 to examine the current state of AI implementation in nursing ESP education. The findings…
Descriptors: Artificial Intelligence, Nursing Education, Research Reports, Computer Software
Julie A. Taylor – Solution Tree, 2025
Discover the value of small-group reading instruction that accommodates students' individual literacy needs. Author Julie A. Taylor provides lesson plan templates to incorporate small groups into any learning structure. Teachers will design laser-targeted skills and strategy lessons to create more productive, positive, and equitable classrooms by…
Descriptors: Reading Instruction, Small Group Instruction, Error Correction, Feedback (Response)
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Yang Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
With the rapid advancement of information technology, the Intelligent Teaching System (ITS) has emerged as a pivotal tool in mathematics education. This paper aims to evaluate the effectiveness of ITS by exploring its impact on personalized learning, increased student interaction and participation, intelligent assessment and feedback, teacher…
Descriptors: Learning Management Systems, Mathematics Education, Technology Uses in Education, Student Participation
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Michael Sony; Kochu Therisa Beena Karingada – Journal of Applied Research in Higher Education, 2025
Purpose: Education 4.0 (E 4.0) represents a new paradigm in the field of education, which emphasizes a student-centric approach that allows learners to access education anytime, anywhere, tailored to their individual needs through modern-day technologies. The purpose of the study was to unearth the critical success factors (CSFs) essential for the…
Descriptors: Success, Educational Practices, Student Centered Learning, Technology Uses in Education
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Peter Ndiangui; Francis Kamunya Mwangi; Jingshun Zhang – Research in Social Sciences and Technology, 2025
This study investigates the integration of online learning into Kenya's Competency-Based Curriculum (CBC), with the aim of improving educational access and equity. Although several educational reforms have been introduced in Kenya, challenges persist in fully implementing the CBC, including limited resources, technological gaps, and insufficient…
Descriptors: Foreign Countries, Online Courses, Concept Mapping, Competency Based Education
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Muaadh Mukred; Umi Asma' Mokhtar; Burkan Hawash; Hussain AlSalman; Muhammad Zohaib; Yousef Ibrahim Abuzawayda – SAGE Open, 2025
In the virtual realm, also referred to as the metaverse, users generally communicate using avatars. This metaverse is viewed as a prospective tool in different industry types, and in this regard, researchers have examined its significance in education owing to its increasing reach. In fact, it has been widely accepted that Information System (IS)…
Descriptors: Foreign Countries, Higher Education, College Students, Student Attitudes
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Maulana, Ridwan; Smale-Jacobse, Annemieke; Helms-Lorenz, Michelle; Chun, Seyeoung; Lee, Okhwa – European Journal of Psychology of Education, 2020
Differentiated instruction is considered to be an important teaching quality domain to address the needs of individual students in daily classroom practices. However, little is known about whether differentiated instruction is empirically distinguishable from other teaching quality domains in different national contexts. Additionally, little is…
Descriptors: Foreign Countries, Individualized Instruction, Teacher Effectiveness, Cross Cultural Studies
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Ginja, Tamirat Gibon; Chen, Xiaoduan – International Journal of Instruction, 2020
This study was conducted to investigate teacher educators' perspectives and their experiences toward differentiated instruction employing an explanatory sequential mixed research design. By administering a random sampling and purposive sampling technique, 67 teacher educators from three higher institutions. Data were collected using a…
Descriptors: Teacher Educators, Teacher Attitudes, Teaching Experience, Individualized Instruction
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Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Educational Technology Research and Development, 2020
Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in…
Descriptors: Intelligent Tutoring Systems, Program Implementation, Computer Software, Mathematics Skills
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Ang, Jayden Wei Jie – Journal of Chemical Education, 2020
Scaffolded inverse blended learning (SIBL) enables self-paced, individualized learning by incorporating different levels of learning activities. The SIBL approach is described for an online general chemistry course enhanced with face-to-face interactions for first-year students in an institute of higher learning. It can be easily modified and…
Descriptors: Blended Learning, Scaffolding (Teaching Technique), Chemistry, Individualized Instruction
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de Chiusole, Debora; Stefanutti, Luca; Anselmi, Pasquale; Robusto, Egidio – International Journal of Artificial Intelligence in Education, 2020
An intelligent tutoring system for learning basic statistics, called Stat-Knowlab, is presented and analyzed. The algorithms implemented in the system are based on the competence-based knowledge space theory, a mathematical theory developed for the formative assessment of knowledge and learning. The system's architecture consists of the two…
Descriptors: Statistics, Intelligent Tutoring Systems, Mathematics Instruction, Formative Evaluation
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Shearer, C. Branton – Roeper Review, 2020
Multiple intelligences (MI) theory was one of the first modern theories of intelligence to be based on neural evidence. The relationship between creativity and intelligence has been a matter of debate as has the role of MI theory in gifted education. An extensive array of neuroscience evidence is reviewed as it pertains to the validity of MI…
Descriptors: Multiple Intelligences, Academically Gifted, Gifted Education, Neurosciences
Miller, Jeanetta Jones – Solution Tree, 2020
Student-centered classrooms make it possible for schools to fulfill their best and most enduring promise: to give students a fair chance to grow up literate, open-minded, and prepared to succeed. With this resource as your guide, you will learn six teaching practices to help you leave behind one-size-fits-all lessons, tests, and grades in favor of…
Descriptors: Student Centered Learning, Classroom Techniques, Teaching Methods, Grading
Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Grantee Submission, 2020
Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in…
Descriptors: Intelligent Tutoring Systems, Program Implementation, Computer Software, Mathematics Skills
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