Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 10 |
| Since 2017 (last 10 years) | 16 |
| Since 2007 (last 20 years) | 21 |
Descriptor
| Computer Software | 21 |
| Natural Language Processing | 21 |
| Student Attitudes | 21 |
| Artificial Intelligence | 10 |
| College Students | 10 |
| Teaching Methods | 9 |
| Feedback (Response) | 8 |
| Second Language Learning | 8 |
| Computer Science Education | 7 |
| Foreign Countries | 7 |
| Programming | 7 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 14 |
| Reports - Research | 13 |
| Collected Works - Proceedings | 3 |
| Reports - Descriptive | 3 |
| Speeches/Meeting Papers | 2 |
| Tests/Questionnaires | 2 |
| Books | 1 |
| Collected Works - General | 1 |
| Dissertations/Theses -… | 1 |
Education Level
Audience
| Administrators | 1 |
| Researchers | 1 |
| Students | 1 |
| Teachers | 1 |
Location
| Brazil | 3 |
| Japan | 2 |
| Portugal | 2 |
| Asia | 1 |
| Australia | 1 |
| California | 1 |
| Connecticut | 1 |
| Denmark | 1 |
| Egypt | 1 |
| Estonia | 1 |
| Florida | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
Heather Johnston; Rebecca F. Wells; Elizabeth M. Shanks; Timothy Boey; Bryony N. Parsons – International Journal for Educational Integrity, 2024
The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted…
Descriptors: Artificial Intelligence, Higher Education, Student Attitudes, Universities
Manik R. Reddy; Nils G. Walter; Yulia V. Sevryugina – Journal of Chemical Education, 2024
The effective and responsible educational application of ChatGPT and other generative artificial intelligence (GenAI) tools constitutes an active area of exploration. This study describes and assesses the implementation of a structured, GenAI-assisted scientific essay writing assignment in nucleic acid biochemistry. Briefly, students created,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Assignments, Biochemistry
Chopra, Harshita; Lin, Yiwen; Samadi, Mohammad Amin; Cavazos, Jacqueline G.; Yu, Renzhe; Jaquay, Spencer; Nixon, Nia – International Educational Data Mining Society, 2023
Exploring students' discourse in academic settings over time can provide valuable insight into the evolution of learner engagement and participation in online learning. In this study, we propose an analytical framework to capture topics and the temporal progression of learner discourse. We employed a Contextualized Topic Modeling technique on…
Descriptors: Semantics, Computer Mediated Communication, Pandemics, COVID-19
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Vanichvasin, Patchara – International Education Studies, 2022
There are many ways to learn how to be entrepreneurs and one of the powerful ways is to learn from successful entrepreneurs. However, it is difficult to reach and interview those entrepreneurs about their best practices in doing business in real lives. Chatbot technology can come into play in mimicking conversation of successful entrepreneurs and…
Descriptors: Entrepreneurship, Teaching Methods, Graduate Students, Best Practices
Xiaoling Bai; Nur Rasyidah Mohd Nordin – Eurasian Journal of Applied Linguistics, 2025
A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…
Descriptors: Artificial Intelligence, Feedback (Response), Evaluators, Writing Skills
Merz, G. Russell; Ward, Jamie; Qrunfleh, Sufian; Gibson, Bud – Higher Education, Skills and Work-based Learning, 2022
Purpose: The purpose of this paper is to describe the role and characteristics of the summer internship program (Digital Summer Clinic) delivered by Eastern Michigan University. The authors report the results of an exploratory study of interns participating in the Digital Summer Clinic over a five-year time period. The study captures and analyzes…
Descriptors: Marketing, Internship Programs, Natural Language Processing, Computer Software
Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
Chukharev-Hudilainen, Evgeny; Ockey, Gary J. – ETS Research Report Series, 2021
This paper describes the development and evaluation of Interaction Competence Elicitor (ICE), a spoken dialog system (SDS) for the delivery of a paired oral discussion task in the context of language assessment. The purpose of ICE is to sustain a topic-specific conversation with a test taker in order to elicit discourse that can be later judged to…
Descriptors: Intercultural Communication, Oral Language, Communicative Competence (Languages), Error Analysis (Language)
Velez, Martin – ProQuest LLC, 2019
Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…
Descriptors: Computer Science Education, Programming, Introductory Courses, Computer Software
Mirzaei, Maryam Sadat; Zhang, Qiang; Meshgi, Kourosh; Nishida, Toyoaki – Research-publishing.net, 2019
We developed a story creation platform that allows for collaborative content creation in a 3D environment by utilizing avatars, animations, objects, and backgrounds. Our story envisioning platform provides a shared virtual space that promotes collaborative interaction for story construction, involving a high degree of learner input and control. It…
Descriptors: Cooperative Learning, Computer Simulation, Story Telling, Second Language Learning
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Liou, H.-C.; Yang, P.-C.; Chang, J. S. – Journal of Computer Assisted Learning, 2012
Various writing assistance tools have been developed through efforts in the areas of natural language processing with different degrees of success of curriculum integration depending on their functional rigor and pedagogical designs. In this paper, we developed a system, WriteAhead, that provides six types of suggestions when non-native graduate…
Descriptors: Graduate Students, Second Language Learning, Computer Software, Computer System Design
Previous Page | Next Page »
Pages: 1 | 2
Peer reviewed
Direct link
