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Janet Lee English; Jingoo Kang; Tuula Keinonen; Sari Havu-Nuutinen; Kari Sormunen – Science Education International, 2025
Every student comes to science class with unique skills and problem-solving abilities; unfortunately, there is limited research on how to differentiate instruction so that equitable progress can be made for every learner. We used a novel pedagogical approach to differentiate for a wide range of problem-solving abilities when students were learning…
Descriptors: High School Students, Biology, Science Instruction, Individualized Instruction
Adi Perry-Kates; Anat Cohen – Journal of Computer Assisted Learning, 2025
Background: In light of the growing need to understand interactive learning effectivity and especially post-COVID 19 pandemic constraints, the key question is how to develop interactive videos in order to get the most effective results. Objectives: This research aims to explore the pedagogical benefits of interactive video with branching…
Descriptors: Video Technology, Interaction, Instructional Effectiveness, Teaching Methods
Garret J. Hall; Wilhelmina van Dijk; Jason C. Chow; Sara Comella – Psychology in the Schools, 2025
Relations of reading and math skills are well-documented. Using open randomized reading intervention data, we examined a reading intervention's impact on math fluency and problem-solving as well as the mechanisms of reading intervention's relation to math fluency. Twenty-eight teachers and 511 first-grade students (82% White, 6% Hispanic, 53%…
Descriptors: Grade 1, Intervention, Reading Skills, Reading Ability
Hao Zhang; Shihan Chen; Sen Zheng – Education and Information Technologies, 2025
Based on the instructional interaction principles outlined by Chen and Wang (2016) in third-generation distance learning, this study employs a recursive logical perspective on the evolution of the theory of interaction in distance education. It constructs a structural equation model to measure the mediating utility path of the learner's proactive…
Descriptors: Personality Traits, Assertiveness, Interaction, Distance Education
Rebecca A. Roesler – String Research Journal, 2025
This investigation explored collaborative problem solving with and without a coach by analyzing problem-solving (PS) and problem-solving-prompting (PSP) behaviors by group members and coaches in six total coached rehearsals with three collegiate string quartets, and six autonomous rehearsals with the same string quartets. Teachers' and learners'…
Descriptors: Music Education, Cooperative Learning, Problem Solving, Classical Music
Ghorashi, Bahman – Chemical Engineering Education, 2023
Due to the structured format of most engineering courses, the number of opportunities for engineering students to view matters differently from the traditional ways is limited. Therefore, a mandatory requirement was introduced into three engineering courses for students to propose an out of the ordinary solution to certain technical problems,…
Descriptors: College Students, Engineering Education, Creativity, Assignments
Liz A. Awang; Farrah D. Yusop; Mahmoud Danaee – International Electronic Journal of Mathematics Education, 2025
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Technology, Technology Uses in Education
Jennifer Spiegel; Joshua Clements – Critical Questions in Education, 2024
Personalized learning (PL) is not new, but it has morphed and re-emerged as an approach that might re-engage today's students in the classroom and better prepare them for college and careers in the 21st century. Amid this re-emergence of personalization is the implementation of new technologies in the classroom. While technology may offer…
Descriptors: Individualized Instruction, Service Learning, Educational Technology, Classroom Environment
Wawan Kurniawan; Khairul Anwar; Jufrida Jufrida; Kamid Kamid; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…
Descriptors: Individualized Instruction, Electronic Learning, Computation, Thinking Skills
MiJeong Kim; JaMee Kim; WonGyu Lee – Education and Information Technologies, 2025
In the digital age, computational thinking (CT)-based problem-solving skills have emerged as essential competencies. Particularly, students with intellectual disabilities need equal educational opportunities and high-quality informatics education to cultivate CT-based problem-solving skills. However, research on the enhancement of CT-based…
Descriptors: Intellectual Disability, Programming, Computation, Thinking Skills
Huaiya Liu; Yuyue Zhang; Jiyou Jia – IEEE Transactions on Learning Technologies, 2024
Intelligent tutoring systems (ITSs) aim to deliver personalized learning support to each learner, aligning with the educational aspiration of many countries, including China. ITSs' personalized support is mainly achieved by providing individual prompts to learners when they encounter difficulties in problem-solving. The guiding principles and…
Descriptors: Intelligent Tutoring Systems, Mathematics Achievement, Individualized Instruction, Foreign Countries
Ishmatul Maula; Toto Nusantara; I Made Sulandra; Sisworo – Mathematics Teaching Research Journal, 2024
This research aims to describe the mathematical problems posed by prospective elementary school pre-service teachers in differentiated learning. This research uses a qualitative approach and uses problem-posing tasks and interviews as tools for collecting data. In the problem-posing task, information on learning conditions is provided, which…
Descriptors: Mathematics Skills, Problem Solving, Individualized Instruction, Mathematics Instruction
Jennings, Jay; Muldner, Kasia – International Journal of Artificial Intelligence in Education, 2021
When students are first learning to program, they not only have to learn to write programs, but also how to trace them. Code tracing involves stepping through a program step-by-step, which helps to predict the output of the program and identify bugs. Students routinely struggle with this activity, as evidenced by prior work and our own experiences…
Descriptors: Scaffolding (Teaching Technique), Tutors, Tutoring, Programming
Kangwa Daniel; Msafiri Mgambi Msambwa; Zhang Wen – European Journal of Education, 2025
This systematic review investigates the impact of generative artificial intelligence (GenAI) tools on developing academic skills in higher education. Analysing 158 studies published between 2021 and 2024, it focuses on the impact of GenAI tools on the development of cognitive, technical and interpersonal skills. The results reveal that 94% of the…
Descriptors: Artificial Intelligence, Academic Ability, Academic Achievement, Skill Development
Rohaeti, Euis Eti; Evans, Brian R.; Wiyatno, Toyo; Prahmana, Rully Charitas Indra; Hidayat, Wahyu – Journal on Mathematics Education, 2023
Equations are often used in mathematics and other subjects, which means that a media can teach students how to solve equations, particularly linear equations of two variables, or "Sistem Persamaan Linear Dua Variabel" (SPLDV) as it is called in Indonesian, is needed. However, most teachers are still focused on developing the learning…
Descriptors: Mathematics Education, Mathematics Skills, Equations (Mathematics), Mathematics Instruction

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