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Marie K. Heath; Daniel G. Krutka; Benjamin Gleason – Information and Learning Sciences, 2024
Purpose: This paper aims to consider the role of social media platforms as educational technologies given growing evidence of harms to democracy, society and individuals, particularly through logics of efficiency, racism, misogyny and surveillance inextricably designed into the architectural and algorithmic bones of social media. The paper aims to…
Descriptors: Social Media, Educational Technology, Role Theory, Influence of Technology
Xueyu Sun; Ting Wang – International Journal of Information and Communication Technology Education, 2024
This study innovates English network teaching by applying a refined Association Rule Mining (ARM) algorithm. It integrates an "interest" parameter into ARM, dynamically adapting content to individual learners' profiles, improving engagement and outcomes. Controlled experiments, spanning diverse online platforms, validate the ARM model's…
Descriptors: Models, Design, Algorithms, Individualized Instruction
Emel Birer; Esin Hasgül; Elif Gizem Metin – International Journal of Art & Design Education, 2025
Design education includes many pursuits that deal with creativity, thinking and visual communication techniques in the learning process. This study aims to create a participatory learning algorithm based on a location, while measuring the spatial impact through an emergent situation. The exemplified issue is determined as fire that emerged due to…
Descriptors: Design, Algorithms, Climate, Environmental Education
Jonathan Liu; Seth Poulsen; Erica Goodwin; Hongxuan Chen; Grace Williams; Yael Gertner; Diana Franklin – ACM Transactions on Computing Education, 2025
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…
Descriptors: Teaching Methods, Algorithms, Design, Computer Science Education
Kasra Lekan; Zachary A. Pardos – Journal of Learning Analytics, 2025
Choosing an undergraduate major is an important decision that impacts academic and career outcomes. In this work, we investigate augmenting personalized human advising for major selection using a large language model (LLM), GPT-4. Through a three-phase survey, we compare GPT suggestions and responses for undeclared first- and second-year students…
Descriptors: Technology Uses in Education, Artificial Intelligence, Academic Advising, Majors (Students)
Jacqueline Nijenhuis-Voogt; Durdane Bayram; Paulien C. Meijer; Erik Barendsen – International Journal of Computer Science Education in Schools, 2024
A context-based approach to education aims to improve students' meaningful learning and uses authentic situations in which scientific concepts are applied. The use of contexts may contribute to the learning of abstract concepts such as algorithms. The selection of appropriate contexts, however, is challenging for teachers. It is therefore…
Descriptors: Secondary Education, Computer Science Education, Secondary School Science, Algorithms
Dawei Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…
Descriptors: College Students, Artificial Intelligence, Information Literacy, Problem Solving
Nikolaos Pellas – Journal of Educational Computing Research, 2025
Tangible programming tools (TPTs) are promising teaching aids in programming courses due to their interactivity and ability to enhance early childhood students' computational thinking, spatial reasoning, and executive function skills. However, it remains unclear whether TPTs support these skills simultaneously. This study examines the impact of…
Descriptors: Computation, Thinking Skills, Spatial Ability, Executive Function
Emit Snake-Beings; Andrew Gibbons; Ricardo Sosa – Teaching and Learning Research Initiative, 2024
This study explores learner engagement with Advanced Computational Thinking (ACT) in the New Zealand digital curriculum. "Advanced" in ACT refers to an expansive, transdisciplinary, and future-looking understanding of computational thinking (CT). ACT promotes CT beyond narrow modes of problem-solving (abstraction, algorithmic thinking,…
Descriptors: Computation, Thinking Skills, Shared Resources and Services, Learner Engagement