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Abdullahi Yusuf; Norah Md Noor – Smart Learning Environments, 2024
In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized the significance of developing algorithmic thinking (AT) skills to help students in program development and error debugging. Despite the…
Descriptors: Students, Programming, Algorithms, Problem Solving
Horvath, Kenneth; Steinberg, Mario – Learning, Media and Technology, 2023
Allowing learners to move across learning contexts in novel ways, digital tools play an increasingly central role for the formation of learning trajectories and identities. They thus presumably also affect dynamics of social sorting in education. Against this background, this article introduces a conceptual framework for unravelling dynamics of…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Learning Trajectories
Ivens, John P. – Education and Information Technologies, 2023
How instructional sequences guide learning processes are often regarded as a neutral act. However, does designing instruction carry a politics? This investigation explores how instruction is made as a pedagogical object. The purpose is to explore the epistemological principles and conceptual framework that produce instruction's formalized…
Descriptors: Instructional Design, Politics of Education, Learning Trajectories, Epistemology
Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
Xiaoman Wang – ProQuest LLC, 2024
This study presents a collaborative learning experience design aimed to promote Algorithmic Literacy (AL) among middle school students. Developed in partnership with middle school teachers and students, the design addresses the need to equip students with the knowledge and skills necessary to navigate an algorithm-driven digital landscape. The…
Descriptors: Middle School Students, Algorithms, Multiple Literacies, Cooperative Learning
Harisman, Yulyanti; Dwina, Fitrani; Tasman, Fridgo – Journal on Mathematics Education, 2022
This study aims to design case-based learning with lesson study learning trajectory with the help of teaching aids to make students understand Prim's, Cruscal's, and Djiksra's Algorithms. The validation study was selected because it is a suitable method for this research. The research subjects were 41 Mathematics Education Study Program Students…
Descriptors: Case Method (Teaching Technique), Learning Trajectories, Algorithms, Mathematics Education
Adams, Candice Harris – ProQuest LLC, 2017
Significant innovations in learning technologies are encouraging individuals, especially high school students, to seek enrichment learning opportunities that they normally are not able to take advantage of due to the limitation of traditional classroom offerings in low-income school districts. With the increase in learners seeking alternatives to…
Descriptors: Electronic Learning, Technology Uses in Education, High School Students, Enrichment Activities

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