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Ioannis Papadopoulos – Computers in the Schools, 2025
In this paper the potentiality of meaning generation in a constructionist environment through an interplay between problem solving and problem posing is examined. The meaning-making process is examined by following how a Grade-10 student is engaged in an iterative cycle of reformulating and solving the initial problem within a Logo-based…
Descriptors: Problem Solving, Concept Formation, Comprehension, Grade 10
Wahid Yunianto; Houssam Sami El-Kasti; Rully Charitas Indra Prahmana; Zsolt Lavicza – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This study presents some activities that integrate computational thinking (CT) into mathematics lessons utilizing GeoGebra to promote constructionist learning. Background: CT activities in the Indonesian curriculum are dominated by worked examples with less plugged-mode activities that might hinder students from acquiring CT skills.…
Descriptors: Computation, Thinking Skills, Mathematics Instruction, Constructivism (Learning)
Minkyoung Kim; Lauren Adlof – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT, an artificial intelligence (AI) language model, holds significant promise for improving the quality and efficiency of teaching and learning. However, its potential challenges and disruptions in education systems require further investigation for a deeper understanding and mitigation. Given that ChatGPT is already being utilized and…
Descriptors: Computer Software, Computational Linguistics, Intelligent Tutoring Systems, Teaching Methods
Ethan C. Campbell; Katy M. Christensen; Mikelle Nuwer; Amrita Ahuja; Owen Boram; Junzhe Liu; Reese Miller; Isabelle Osuna; Stephen C. Riser – Journal of Geoscience Education, 2025
Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…
Descriptors: Earth Science, Undergraduate Students, Programming Languages, Computer Software
Shahper Richter; Marilyn Giroux; Inna Piven; Herbert Sima; Patrick Dodd – Journal of Marketing Education, 2025
AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…
Descriptors: Constructivism (Learning), Artificial Intelligence, Computer Software, Technology Integration
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education
Peng Wang; Kexin Yin; Mingzhu Zhang; Yuanxin Zheng; Tong Zhang; Yanjun Kang; Xun Feng – Education and Information Technologies, 2025
In the era of educational informatization, nurturing critical thinking skills has become a central focus. However, the current state of Chinese students' critical thinking development is concerning, prompting researchers to explore effective enhancement strategies. Based on constructivist learning theory, this study leveraged the advancements in…
Descriptors: Critical Thinking, Skill Development, Artificial Intelligence, Computer Software
Matthew Boyne – Information Systems Education Journal, 2024
The research sought to study potential efficiency in course design and execution using Constructive Alignment, and then classroom workflow grounded in eduScrum based on the Agile Project Framework of Scrum for graduate classes in managerial analytics. The research measured performance based on the Scrum concept of Velocity, defined as the rate of…
Descriptors: Graduate Study, Data Analysis, Computer Software, Instructional Effectiveness
Modesti, Paolo – Informatics in Education, 2020
As the number of software vulnerabilities discovered increases, the industry is facing difficulties to find specialists to cover the vacancies for security software developers. Considering relevant teaching and learning theories, along with existing approaches in software security education, we present the pedagogic rationale and the concrete…
Descriptors: Computer Security, Computer Software, Computer Science Education, Programming
Yonit Nissim; Eitan Simon – Journal of Education for Teaching: International Research and Pedagogy, 2025
This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…
Descriptors: Models, Technology Integration, Artificial Intelligence, Constructivism (Learning)
Rashmi Singh; Shailendra Kumar Singh; Niraj Mishra – Discover Education, 2025
Students in higher education increasingly integrate emerging technologies to enrich their learning experiences. Universal tools such as virtual classrooms, multimedia presentations, and learning management systems are now widely employed in teaching and learning activities. However, Artificial intelligence (AI) techniques are not yet commonly used…
Descriptors: Artificial Intelligence, College Students, Computer Software, Technology Integration
Alexander, Sarah; Boehm, Jeffrey D.; Glen, Neil – Research in Dance Education, 2023
This collaboration between the dance and learning technology departments at Bath Spa University, sought to develop a dance repertoire module with the use of mobile technologies, in order to enhance collaborative and discursive opportunities for students. The introduction of mobile technologies into a face-to-face teaching environment initiated a…
Descriptors: Dance Education, Learner Engagement, Information Technology, Universities
Hof, Barbara – History of Education, 2021
Drawing on historical epistemology and considerations on the function of scientific modelling, this article investigates how in the mid-twentieth century electronic and programmable animal models became tools for exploring the inaccessible ontology of the human mind. The article examines how machines have informed our understanding of the learning…
Descriptors: Constructivism (Learning), Learning Processes, Foreign Countries, Epistemology
Brandi Robinson – International Journal on E-Learning, 2024
The integration of artificial intelligence in e-learning presents promising avenues for scalable, efficient content creation. However, the prevailing content-first approach in AI course design often compromises educational quality for speed, leading to courses that lack coherence, cognitive alignment, and structured progression. This article…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Ethics
Aliyu, Jaafaru; Osman, Sharifah; Kumar, Jeya Amantha; Jamil, Mohd Ridhuan Mohd – Journal of Technology and Science Education, 2023
In the 21st century, teaching and learning mathematics courses witness significant expansion and development of technology use, which creates a shift from teacher-centred to student-centred learning engagement. Student engagement (SE) faces many challenges of poor performance and student difficulty in solving simultaneous equations involving…
Descriptors: Learning Strategies, Learner Engagement, Mathematics Education, Student Centered Learning

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