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Showing 1 to 15 of 183 results Save | Export
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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
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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
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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
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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
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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
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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
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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
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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
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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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Micanovic, Veselin; Vuckovic, Dijana; Maslovaric, Biljana; Šakotic, Nada; Novovic, Tatjana – South African Journal of Education, 2023
In this quasi-experimental pretest-posttest study we examined the effects of differentiated instruction (DI) in within-class ability groupings of 246 Montenegrin fourth-graders and their ability to solve algebraic equations. We assessed 2 parallel student groups at equal achievement levels to compare DI, in which teaching and work modes were…
Descriptors: Foreign Countries, Affordances, Barriers, Curriculum Implementation
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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
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Georgina Maria Tinungki; Powell Gian Hartono; Budi Nurwahyu; Anna Islamiyati; Robiyanto Robiyanto; Agus Budi Hartono; Muhammad Yaasiin Raya – Cogent Education, 2024
Self-proficiency, distinct from self-efficacy, is a more comprehensive dimension in assessing students' abilities. Moreover, the TAI cooperative learning model is believed to be relevant in enhancing self-proficiency, as well as other mathematical ability dimensions, particularly in Statistics course. Therefore, this study aimed to assess the…
Descriptors: Foreign Countries, Undergraduate Students, Statistics Education, Mathematics Instruction
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Aimee Lintner – Turkish Online Journal of Educational Technology - TOJET, 2024
The purpose of the case study was to understand the use of technology, particularly AI, for public middle school teachers in Michigan for critical thinking and problem-solving skills among students. The theory that guided this study was the constructivist theory. The constructivist learning theory involves people learning from their experiences…
Descriptors: Critical Thinking, Artificial Intelligence, Middle School Students, Public Schools
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Tung, Khoe Yao; Alissa – International Journal of Education and Literacy Studies, 2021
The background of this research began with an apprehension of the need for students' learning in accordance with their learning abilities relating to the application of a flipped classroom model in the Biology class of XYZ Senior High School. Preliminary research showed the different needs of individual students; thus, differentiated learning was…
Descriptors: Flipped Classroom, Individualized Instruction, Biology, Cognitive Development
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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