Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Source
Cogent Education | 1 |
Education and Information… | 1 |
International Association for… | 1 |
Physical Review Physics… | 1 |
Author
Baofeng Ren | 1 |
Blanka Klimova | 1 |
Boxuan Ma | 1 |
Chenghao Gu | 1 |
Fabian Kieser | 1 |
Harun Çelik | 1 |
Hüseyin Miraç Pektas | 1 |
Jochen Kuhn | 1 |
Peter Wulff | 1 |
Shin 'ichi Konomi | 1 |
Stefan Küchemann | 1 |
More ▼ |
Publication Type
Reports - Research | 4 |
Journal Articles | 3 |
Tests/Questionnaires | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Audience
Location
Czech Republic | 1 |
Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Force Concept Inventory | 1 |
What Works Clearinghouse Rating
Tianyuan Yang; Baofeng Ren; Chenghao Gu; Boxuan Ma; Shin 'ichi Konomi – International Association for Development of the Information Society, 2024
As education increasingly shifts towards a technology-driven model, artificial intelligence systems like ChatGPT are gaining recognition for their potential to enhance educational support. In university education and MOOC environments, students often select courses that align with their specific needs. During this process, access to information…
Descriptors: Concept Formation, Artificial Intelligence, Computer Uses in Education, MOOCs
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Blanka Klimova; Victor Paiva Luz de Campos – Cogent Education, 2024
At present, ChatGPT is penetrating all spheres of human activities, and especially education is no exception. The purpose of this exploratory study is to examine the potentials and pitfalls of using ChatGPT for academic purposes among university students, as well as provide relevant pedagogical implications for its use in academia. The methodology…
Descriptors: Undergraduate Students, Undergraduate Study, Student Attitudes, Artificial Intelligence
Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software