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Rau´l Arrabal; Marta Mohedano; Endzhe Matykina – Journal of Chemical Education, 2022
The COVID-19 pandemic has forced many higher education institutions to offer their courses online, which is quite challenging when implementing laboratory sessions. Here we describe a web-based teaching resource consisting of a metallographic atlas with more than 200 micrographs corresponding to pure metals, binary alloys, steels, cast irons, and…
Descriptors: Metallurgy, Web Sites, Computer Assisted Instruction, Visual Aids
Berkay Ceylan; Melek Altiparmak Karakus – International Journal of Technology in Education and Science, 2024
This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: (i) to develop an AI-based mobile application from scratch based customized for education (ii) to enhance…
Descriptors: Artificial Intelligence, Handheld Devices, Telecommunications, Computer Oriented Programs
Kamen T. Engel; Jonathan Davidson; Alison Jolley; Ben Kennedy; Alexander R. L. Nichols – Journal of Geoscience Education, 2024
A virtual microscope resource was created when face-to-face labs were halted due to the COVID-19 pandemic in March 2020 to replicate the learning goals of an introductory petrology course on microscopy. This virtual microscope resource utilized images and videos of thin sections, as well as 3D rock models to allow students to complete labs online.…
Descriptors: Laboratory Equipment, Blended Learning, Science Laboratories, Geology
Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
Pei, Bo; Xing, Wanli; Lee, Hee-Sun – British Journal of Educational Technology, 2019
Science classes should support students' development of scientific argumentation. While previous studies have analyzed argumentative texts, they have overlooked the ways in which other types of representations, including images, affect the production of such texts. In addition, studies into the use of visual images in science education have…
Descriptors: Science Education, Science Process Skills, Persuasive Discourse, Visual Aids
Jeong, Allan; Lee, Woon Jee – Educational Technology Research and Development, 2012
This study examined some of the methodological approaches used by students to construct causal maps in order to determine which approaches help students understand the underlying causes and causal mechanisms in a complex system. This study tested the relationship between causal understanding (ratio of root causes correctly/incorrectly identified,…
Descriptors: Discussion, Computer Software, Teaching Methods, Science Education
Giles, Rebecca M.; Shaw, Edward L. – Science and Children, 2011
SMART Board is a technology that combines the functionality of a whiteboard, computer, and projector into a single system. The interactive nature of the SMART Board offers many practical uses for providing an introduction to or review of material, while the large work area invites collaboration through social interaction and communication. As a…
Descriptors: Classroom Techniques, Interpersonal Relationship, Kindergarten, Teaching Methods
Wong, Shin Y.; Connelly, Robin K.; Hartel, Richard W. – Journal of Food Science Education, 2010
The current generation of students coming into food science and engineering programs is very visually oriented from their early experiences. To increase their interest in learning, new and visually appealing teaching materials need to be developed. Two diverse groups of students may be identified based on their math skills. Food science students…
Descriptors: Foods Instruction, Curriculum Development, Engineering Education, Focus Groups
Peer reviewedBucher, Manfred; And Others – Physics Teacher, 1991
Described is a baton that consists of an unbreakable transparent tube with three inserted light-emitting diodes (LED) and terminal impact buffers that hold batteries and counterweights. The concepts of projectile motion and parabolic paths can be shown by analyzing the path of a thrown baton. (KR)
Descriptors: Computer Assisted Instruction, Demonstrations (Educational), Motion, Physics
Peer reviewedOrf, H. W. – Journal of Chemical Education, 1975
Describes a computer program, designed for second semester organic chemistry courses, which graphically displays organic synthesis routes on a screen. (MLH)
Descriptors: Chemical Reactions, Chemistry, College Science, Computer Assisted Instruction
Peer reviewedRemark, John F. – Journal of Chemical Education, 1975
Descriptors: Chemistry, Computer Assisted Instruction, Computer Graphics, Computer Programs
Peer reviewedStevens, Jane Ellen – Bioscience, 1995
Discusses biological applications of virtual reality technology that are under development, including making extraordinary scientific images available for the teaching of science. Explores the technology and the development of three-dimensional images. (LZ)
Descriptors: Biology, Computer Assisted Instruction, Computer Uses in Education, Educational Technology
Peer reviewedTritz, Gerald J. – Journal of Computers in Mathematics and Science Teaching, 1987
Discusses the use of computer assisted instruction in the medical education program of the Kirksville College of Osteopathic Medicine (Missouri). Describes the animation techniques used in a series of simulations for microbiology. (TW)
Descriptors: Animation, College Science, Computer Assisted Instruction, Computer Graphics
Peer reviewedRobert, Francois; And Others – European Journal of Engineering Education, 1986
Presents examples of didactic computer software developed in a college of engineering, along with a discussion of pedagogical and systems considerations. Discusses the use of the computer in relation to Bloom's Taxonomy. Describes the system approach, which is used to sequentially develop valid and relevant software. (TW)
Descriptors: College Science, Computer Assisted Instruction, Computer Uses in Education, Courseware
Shortridge, Ann M.; Emmert, Jason L. – 2002
Today, although much debate surrounds the effectiveness of including graphics in Web-based distance education courses, most course authors agree that such courses should productively engage students so that quality of learning actually occurs. But what is productive engagement in a world of electronic communication and text? This paper offers a…
Descriptors: Computer Assisted Instruction, Computer Graphics, Computer Mediated Communication, Course Content
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