Publication Date
| In 2026 | 0 |
| Since 2025 | 15 |
| Since 2022 (last 5 years) | 38 |
| Since 2017 (last 10 years) | 41 |
| Since 2007 (last 20 years) | 47 |
Descriptor
| Artificial Intelligence | 69 |
| Computer Software | 69 |
| Problem Solving | 69 |
| Teaching Methods | 28 |
| Technology Integration | 15 |
| Foreign Countries | 13 |
| Student Attitudes | 13 |
| Learning Processes | 12 |
| Mathematics Instruction | 12 |
| Models | 12 |
| Technology Uses in Education | 12 |
| More ▼ | |
Source
Author
| A. Y. M. Atiquil Islam | 1 |
| Ades, Tal | 1 |
| Adiga, Sadashiv | 1 |
| Aldrich, Clark | 1 |
| Aleven, Vincent | 1 |
| Allan Mesa Canonigo | 1 |
| Amy L. Kelly | 1 |
| Andrés Chiappe | 1 |
| Ashley, Kevin D. | 1 |
| Ashlyn M. Fiegener | 1 |
| Baker, Ryan S. J. d. | 1 |
| More ▼ | |
Publication Type
Education Level
Location
| China | 4 |
| Brazil | 3 |
| Taiwan | 2 |
| Asia | 1 |
| Australia | 1 |
| Colombia | 1 |
| Colorado (Denver) | 1 |
| Connecticut | 1 |
| Denmark | 1 |
| District of Columbia | 1 |
| Ecuador | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Giulia Polverini; Bor Gregorcic – Physical Review Physics Education Research, 2024
The well-known artificial intelligence-based chatbot ChatGPT-4 has become able to process image data as input in October 2023. We investigated its performance on the test of understanding graphs in kinematics to inform the physics education community of the current potential of using ChatGPT in the education process, particularly on tasks that…
Descriptors: Computer Software, Artificial Intelligence, Visual Impairments, Graphs
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Conrad Borchers; Tianze Shou – Grantee Submission, 2025
Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…
Descriptors: Benchmarking, Computational Linguistics, Artificial Intelligence, Computer Software
Gaskins, Nettrice – TechTrends: Linking Research and Practice to Improve Learning, 2023
This paper reviews algorithmic or artificial intelligence (AI) bias in education technology, especially through the lenses of speculative fiction, speculative and liberatory design. It discusses the causes of the bias and reviews literature on various ways that algorithmic/AI bias manifests in education and in communities that are underrepresented…
Descriptors: Algorithms, Bias, Artificial Intelligence, Educational Technology
Joalise Janse van Rensburg – Discover Education, 2024
The ability to think critically is an important and valuable skill that students should develop to successfully solve problems. The process of writing requires critical thinking (CT), and the subsequent piece of text can be viewed as a product of CT. One of the strategies educators may use to develop CT is modelling. Given ChatGPT's ability to…
Descriptors: Critical Thinking, Writing Instruction, Computer Software, Artificial Intelligence
John Jairo Jaramillo; Andrés Chiappe – Prospects, 2024
This article describes a systematic literature review focused on identifying substantial drawbacks in the current curricula and on the challenges to developing AI-driven curricula. One hundred thirty articles were read in depth and qualitatively analyzed. The results suggest that educational stakeholders should integrate AI into the curriculum…
Descriptors: Trend Analysis, Interdisciplinary Approach, Problem Solving, Futures (of Society)
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
Frances A. Stott; David M. Stott – Advances in Accounting Education: Teaching and Curriculum Innovations, 2023
The chapter explores the possibilities related to using ChapGPT in tax education. Specifically, we address how tax has historically been taught in higher education and how the use of new and developing artificial intelligence (AI) tools such as ChatGPT can enhance this process going forward. The key takeaway is that AI tools are just that --…
Descriptors: Accounting, Teaching Methods, Artificial Intelligence, Business Education
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
Ozkan Ergene; Busra Caylan Ergene – Education and Information Technologies, 2025
One of the aims of the present study was to reveal and compare the performance of ChatGPT versions (GPT-4o, GPT-4, and GPT-3.5), MathGPT, and Gemini in solving 390 mathematical problems in interactive mathematics e-textbooks across various dimensions. The other aim was to identify the affordances and constraints of ChatGPT through the instrumental…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Electronic Books
Wajeeh Daher; Faaiz Gierdien – African Journal of Research in Mathematics, Science and Technology Education, 2024
Texts generated by artificial intelligence agents have been suggested as tools supporting students' learning. The present research analyses the language of texts generated by ChatGPT when solving mathematical problems related to the quadratic equation. We use the functional grammar theoretical framework that includes three meta-functions: the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Problem Solving
Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Giabbanelli, Philippe J.; Tawfik, Andrew A.; Wang, Bao – Journal of Research on Technology in Education, 2023
Instructional strategies employing complex problem-solving examine how learners represent the problem space and argue for decisions. Unlike problems with few solutions (e.g., multiple choices), instructors struggle to evaluate solutions to ill-structured problems quickly and consistently across students. This prevents instructors to provide timely…
Descriptors: Problem Solving, Maps, Artificial Intelligence, Evaluation Methods
George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods

Peer reviewed
Direct link
