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Moshe Stupel; Yehuda Fisher – International Journal for Technology in Mathematics Education, 2024
Throughout the years of the history of the development of mathematics, starting with the ancient mathematicians, new things were discovered from time to time, which made it a central component of the computerized world, which serves us in many fields, with the young "swimming" in it, and the adults asking: how could we live without it!…
Descriptors: Geometric Concepts, Geometry, Computer Assisted Instruction, Mathematics Education
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Cohen, Etan; Ben-Zvi, Dani; Hod, Yotam – International Journal of Computer-Supported Collaborative Learning, 2023
In this article we discuss some of the ethical dimensions of design-based research, which we believe should feature more prominently in CSCL scholarship. We begin by sketching out why it is important for CSCL researchers to articulate their visions of the good and how this can be accomplished in a systematic way. We then outline how ethical…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Ethics, Design
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Bradley Graeme Welch; Juan Carlos Ponce Campuzano – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of…
Descriptors: Geometry, Computer Software, Computer Assisted Instruction, Undergraduate Students
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Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
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Curby Alexander; Liran Ma; Ze-Li Dou; Zhipeng Cai; Yan Huang – Journal of Cybersecurity Education, Research and Practice, 2024
Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality…
Descriptors: Students, Teachers, Inquiry, Computer Security
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Matt Finch; Niamh Ní Bhroin; Steffen Krüger – Prospects, 2024
In times of turbulence, uncertainty, novelty, and ambiguity--the so-called TUNA conditions--our experience of the past may prove a poor guide to the future times in which our decisions and their consequences will unfold. Under such conditions, the manufacture of scenarios that are plausible future contexts for a given issue and are designed to…
Descriptors: Educational Trends, Futures (of Society), Vignettes, Foreign Countries
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Karaismailoglu, Fatma; Yildirim, Mehtap – Biochemistry and Molecular Biology Education, 2023
This article presents the integration of Tinkercad, a free online modeling program that allows students to model molecular genetic concepts, into the distance learning process. The students had the opportunity to learn molecular genetics in a fun and more efficient way in spite of the limitations of the COVID-19 lockdown, and, in this respect, it…
Descriptors: Models, Genetics, Molecular Structure, Scientific Concepts
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Lisa A. Dieker; Rebecca Hines; Ilene Wilkins; Charles Hughes; Karyn Hawkins Scott; Shaunn Smith; Kathleen Ingraham; Kamran Ali; Tiffanie Zaugg; Sachin Shah – Journal of Special Education Preparation, 2024
The options for Artificial intelligence (AI) tools used in teacher education are increasing daily, but more is only sometimes better for teachers working in already complex classroom settings. This team discusses the increase of AI in schools and provides an example from administrators, teacher educators, and computer scientists of an AI virtual…
Descriptors: Artificial Intelligence, Elementary Schools, Preservice Teachers, Preservice Teacher Education
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Janet Kesterson Isbell – Journal of Open, Flexible and Distance Learning, 2024
Research has demonstrated the need to prepare higher education faculty for transitioning from in-person to online modality. Researchers note the need to train faculty in course design, building classroom community, and establishing a teaching presence, among other things. This paper describes a professor's participation in a university-funded…
Descriptors: College Faculty, Electronic Learning, Faculty Development, Instructional Design
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Özlem Çeziktürk – International Journal of Mathematical Education in Science and Technology, 2025
I explore some facts about the area, position, etc. of the Steiner ellipse using GeoGebra and numerical analysis. Students can use these for mathematical inquiry.
Descriptors: Computer Software, Mathematics Instruction, Elective Courses, Teacher Education Programs
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Venkatesh S. Amin; Padmanabha C. H. – Journal on School Educational Technology, 2024
This paper explains how to prepare students to learn faster, as learning is not directly connected to classroom teaching. Learning can happen in various forms, and hence, experiential teaching connects students well. The learning could be faster and far greater than expected. This study follows a process incorporated for betterment and advancement…
Descriptors: Best Practices, Teaching Methods, Teacher Effectiveness, Educational Quality
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Victor Oxman; Moshe Stupel – International Journal of Mathematical Education in Science and Technology, 2024
We present an investigation of the infinite sequences of numbers formed by calculating the pairwise averages of three given numbers. The problem has an interesting geometric interpretation related to the sequence of triangles with equal perimeters which tend to an equilateral triangle. Investigative activities of the problem are carried out in…
Descriptors: Mathematics Instruction, Geometry, Problem Solving, Preservice Teachers
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
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Michael W. Pelter; Libbie S. W. Pelter; Phillip I. Dinga; Nicholas E. Ernst; Madison L. Schultz – Journal of Chemical Education, 2023
A cornerstone activity in undergraduate organic laboratories revolves around students running instrumental analysis on their products and interpreting their spectra. They are left to link the theory they have learned in lecture to practical spectral interpretation. Students often memorize benchmark interpretations of peaks, such as the broad…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Organic Chemistry
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Boussaha, Karima; Boussouf, Raouf Amir – International Journal of Virtual and Personal Learning Environments, 2022
Several researchers studied the impact of collaboration between the learners, but few studies have been carried out on the impact of collaboration between teachers. In the previous work, the authors have studied the impact of the collaboration among the learners with a specific collaborative CEHL(K. Boussaha et al.,2015). In this work, the authors…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Coaching (Performance), Intelligent Tutoring Systems
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