Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
| Since 2022 (last 5 years) | 25 |
| Since 2017 (last 10 years) | 30 |
| Since 2007 (last 20 years) | 39 |
Descriptor
| Artificial Intelligence | 41 |
| Computer Software | 41 |
| Automation | 40 |
| Technology Uses in Education | 14 |
| Feedback (Response) | 13 |
| Programming | 10 |
| Educational Technology | 9 |
| Foreign Countries | 9 |
| Natural Language Processing | 9 |
| Data Analysis | 8 |
| Information Retrieval | 8 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 1 |
Location
| Netherlands | 4 |
| Brazil | 3 |
| Australia | 2 |
| California | 2 |
| Connecticut | 2 |
| Israel | 2 |
| Pennsylvania | 2 |
| South Korea | 2 |
| Spain | 2 |
| United Kingdom | 2 |
| Asia | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Massachusetts Comprehensive… | 1 |
What Works Clearinghouse Rating
Muhammad Fawad Akbar Khan; Max Ramsdell; Erik Falor; Hamid Karimi – International Educational Data Mining Society, 2024
This paper undertakes a thorough evaluation of ChatGPT's code generation capabilities, contrasting them with those of human programmers from both educational and software engineering standpoints. The emphasis is placed on elucidating its importance in these intertwined domains. To facilitate a robust analysis, we curated a novel dataset comprising…
Descriptors: Artificial Intelligence, Automation, Computer Science Education, Programming
Steven Ullman – ProQuest LLC, 2024
Modern Information Technology (IT) infrastructure and open-source software (OSS) have revolutionized our ability to access and process data, enabling us to tackle increasingly complex problems and challenges. While these technologies provide substantial benefits, they often expose users to vulnerabilities that can severely damage individuals and…
Descriptors: Artificial Intelligence, Information Technology, Information Systems, Computer Security
UK Department for Education, 2024
Over the last year, interest in and use of generative artificial intelligence (GenAI) has rapidly increased. Although GenAI is not new, recent advances in the underlying technology and greater accessibility mean that the public can now use it more easily. This poses opportunities and challenges for the education sector. The Digital Strategy…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Information Technology
Mohammed Muneerali Thottoli; Badria Hamed Alruqaishi; Arockiasamy Soosaimanickam – Contemporary Educational Technology, 2024
Purpose: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature…
Descriptors: Academic Advising, Artificial Intelligence, Technology Uses in Education, Role
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
Aaron Haim; Eamon Worden; Neil T. Heffernan – Grantee Submission, 2024
Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…
Descriptors: Artificial Intelligence, Learning Management Systems, Computer Software, Intelligent Tutoring Systems
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
Jessie S. Barrot – Technology, Knowledge and Learning, 2025
Significant advancements in artificial intelligence (AI) technologies have led to the development of Google Gemini, which can be used to provide automated writing assistance. Within higher education, this feature extends to research writing. However, skepticism is particularly evident as students, teachers, and researchers in universities explore…
Descriptors: Artificial Intelligence, Computer Software, Computer Uses in Education, Educational Research
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Dongkwang Shin; Jang Ho Lee – Education and Information Technologies, 2024
In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
Zewei Tian; Lief Esbenshade; Alex Liu; Shawon Sarkar; Zachary Zhang; Kevin He; Min Sun – Grantee Submission, 2025
The Colleague AI platform introduces a groundbreaking Rubric Generation function designed to streamline how educators create and use rubrics for instructional and assessment purposes. This feature uses artificial intelligence (AI) to produce standards-based rubrics tailored to course content for formative and summative evaluations. By automating…
Descriptors: Scoring Rubrics, Artificial Intelligence, Futures (of Society), Teaching Methods
Alec Thomson – Community College Enterprise, 2024
Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new…
Descriptors: Artificial Intelligence, Information Technology, Position Papers, Educational Policy
Murat Polat; Ibrahim Hakan Karatas; Nurgün Varol – Leadership and Policy in Schools, 2025
The incorporation of artificial intelligence (AI) into educational management offers personalized learning, adaptive tutoring, and efficient resource management. However, ethical considerations such as fairness, transparency, accountability, and privacy are crucial. This paper reviews literature and conducts a bibliometric analysis on ethical AI…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Leadership
David W. Brown; Dean Jensen – International Society for Technology, Education, and Science, 2023
The growth of Artificial Intelligence (AI) chatbots has created a great deal of discussion in the education community. While many have gravitated towards the ability of these bots to make learning more interactive, others have grave concerns that student created essays, long used as a means of assessing the subject comprehension of students, may…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Software, Writing (Composition)
Zhihan Lv Ed. – IGI Global, 2024
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Problem Solving

Peer reviewed
Direct link
