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Showing 1 to 15 of 104 results Save | Export
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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
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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
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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
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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
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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
Jose J. Jaramillo – ProQuest LLC, 2024
The purpose of my study was to determine the effectiveness of using dynamic geometry software while exploring the properties of quadrilaterals. Dynamic geometry software can be effective if used properly in the exploration process as students construct their own knowledge through constructivism. Students were given the Van Hiele Test as a pretest…
Descriptors: Mathematics Instruction, Geometry, Computer Software, Teaching Methods
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
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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)
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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
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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
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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
Larry Wayne Evert Jr. – ProQuest LLC, 2024
The purpose of this mixed-method survey-based study addresses the underexplored area of undergraduate student perceptions of artificial intelligences (AI) impact in academia, specifically within the FCSEI in Romania. This research study will provide comprehensive findings on how AI can revolutionize teaching methodologies, learning processes, and…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Student Surveys
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Kanaki, Kalliopi; Kalogiannakis, Michail – Education and Information Technologies, 2018
Objects are everywhere. People deal with them from the beginning of their lives. From babyhood, they start to recognise them and, progressively, learn to define their attributes and designate the actions related to them. Although the basis of object-oriented programming is translating real-world objects into the object-oriented code, learning…
Descriptors: Teaching Methods, Preschool Education, Preschool Children, Physical Sciences
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Okai-Ugbaje, Safiya; Ardzejewska, Kathie; Imran, Ahmed; Yakubu, Adamu; Yakubu, Muhammad – International Journal of Education and Development using Information and Communication Technology, 2020
The concept of blending mobile learning and cloud computing (cloud-based m-learning) is potentially a strong fit for higher education in developing countries with inadequate infrastructure. Notwithstanding the potential benefits, while a substantial number of theoretical studies exist, there are limited studies focusing on the practical…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Blended Learning
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Langbeheim, Elon; Abrashkin, Ariel; Steiner, Ariel; Edri, Haim; Safran, Samuel; Yerushalmi, Edit – Physical Review Physics Education Research, 2020
This article describes the redesign of a project-based course on soft and biological materials to include computational modeling. Including the construction of computational models in the course is described as a shift from constructivism--a theory that characterizes the development of formal reasoning, to constructionism--a theory that focuses on…
Descriptors: Physics, Science Instruction, Educational Change, Curriculum Design
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