Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Descriptor
Computer Assisted Instruction | 3 |
Foreign Countries | 3 |
Plants (Botany) | 3 |
Active Learning | 1 |
Animation | 1 |
Artificial Intelligence | 1 |
Biology | 1 |
Computer Oriented Programs | 1 |
Concept Formation | 1 |
Concept Mapping | 1 |
Courseware | 1 |
More ▼ |
Author
Baye S. Mersha | 1 |
Berkay Ceylan | 1 |
Destaw D. Yehualaw | 1 |
Harald Gropengießer | 1 |
Leona Mölgen | 1 |
Melek Altiparmak Karakus | 1 |
Niklas Schneeweiß | 1 |
Solomon M. Mengistie | 1 |
Zeleke B. Mekonnen | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
High Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Grade 10 | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Niklas Schneeweiß; Leona Mölgen; Harald Gropengießer – Journal of Biological Education, 2024
Explanation of natural phenomena at one level of biological organisation almost always involves causes that are found at other levels. Although scientists thinking across levels find it easy to explain physiological phenomena, students often perceive this as a challenge. We developed a new graphic organiser called Zoom Map, which is a mode for…
Descriptors: Foreign Countries, High School Students, Science Instruction, Biology
Zeleke B. Mekonnen; Destaw D. Yehualaw; Solomon M. Mengistie; Baye S. Mersha – Journal of Pedagogical Research, 2024
While computer animations have the potential to assist learners in understanding difficult concepts and eliminating misconceptions, studies supporting this claim are scarce. This study investigated how the 7E instructional model integrated with computer animations affected students' conceptual understanding and misconceptions about food making and…
Descriptors: Animation, Computer Assisted Instruction, Concept Formation, Misconceptions
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