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Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
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Robin Elizabeth Miller – portal: Libraries and the Academy, 2024
In the year since ChatGPT was released by OpenAI, librarians, instructors, and higher education administrators have grappled with generative artificial intelligence (AI) and its implications for teaching, learning, research, and writing. Drawn from informal conversations, professional observations, discussion groups, and professional development…
Descriptors: Higher Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester – IEEE Transactions on Learning Technologies, 2024
Multiple-choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, owing to the increased digital literacy of students and the advent of social media platforms, MCQ tests are widely shared online, and teachers are continuously challenged to create new questions, which is an…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Test Construction, Test Items
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Weixu Lu – Communication Teacher, 2024
This article explores the application of generative artificial intelligence (AI), such as ChatGPT, in the development of customized textual materials for communication teaching. It underscores the potential of generative AI to address the scarcity of suitable learning materials and enhance teaching effectiveness. A case study of text generation…
Descriptors: Artificial Intelligence, Material Development, Communication (Thought Transfer), Natural Language Processing
Andrea Lodge – ProQuest LLC, 2024
Education is becoming more integrated with technology use. As Ammanath (2023) described, the older generation of educators need to move past their fears of technological advances to find the potential to better prepare younger generations for an artificially intelligent world. This dissertation addresses how teachers perceive the use of artificial…
Descriptors: Teacher Attitudes, Artificial Intelligence, Inclusion, Technology Uses in Education
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Paul P. Martin; David Kranz; Peter Wulff; Nicole Graulich – Journal of Research in Science Teaching, 2024
Constructing arguments is essential in science subjects like chemistry. For example, students in organic chemistry should learn to argue about the plausibility of competing chemical reactions by including various sources of evidence and justifying the derived information with reasoning. While doing so, students face significant challenges in…
Descriptors: Science Education, Chemistry, Persuasive Discourse, Writing Evaluation
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Xiaoyan Shi – International Journal of Web-Based Learning and Teaching Technologies, 2024
In order to avoid students' negative learning mood, contemporary teachers are required to abandon the application of spoon-feeding teaching method in English classroom teaching, adopt micro-class teaching method, highlight the teaching characteristics of being close to the people, and create an efficient, short, and special teaching space to meet…
Descriptors: Video Technology, Natural Language Processing, Captions, Technology Uses in Education
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Marian Marchal; Merel C. J. Scholman; Vera Demberg – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Linguistic phenomena (e.g., words and syntactic structure) co-occur with a wide variety of meanings. These systematic correlations can help readers to interpret a text and create predictions about upcoming material. However, to what extent these correlations influence discourse processing is still unknown. We address this question by examining…
Descriptors: Statistical Analysis, Correlation, Discourse Analysis, Cues
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Nezihe Korkmaz Guler; Zeynep Gul Dertli; Elif Boran; Bahadir Yildiz – Pedagogical Research, 2024
The aim of the research is to investigate the academic achievement of ChatGPT, an artificial intelligence based chatbot, in a national mathematics exam. For this purpose, 3.5 and 4 versions of ChatGPT were asked mathematics questions in a national exam. The method of the research is a case study. In the research, 3.5 and 4 versions of ChatGPT were…
Descriptors: Mathematics Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Naima Debbar – International Journal of Contemporary Educational Research, 2024
Intelligent systems of essay grading constitute important tools for educational technologies. They can significantly replace the manual scoring efforts and provide instructional feedback as well. These systems typically include two main parts: a feature extractor and an automatic grading model. The latter is generally based on computational and…
Descriptors: Test Scoring Machines, Computer Uses in Education, Artificial Intelligence, Essay Tests
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Tolulope Famaye; Cinamon Sunrise Bailey; Ibrahim Adisa; Golnaz Arastoopour Irgens – International Journal of Technology in Education, 2024
The emergence of ChatGPT, an AI-powered language model, has sparked numerous debates and discussions. In educational research, scholars have raised significant questions regarding the potential, limitations, and ethical concerns around the use of this technology. While research on the application and implications of ChatGPT in academic settings…
Descriptors: Artificial Intelligence, High School Students, Technology Uses in Education, Student Attitudes
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Rania Abdelghani; Yen-Hsiang Wang; Xingdi Yuan; Tong Wang; Pauline Lucas; Hélène Sauzéon; Pierre-Yves Oudeyer – International Journal of Artificial Intelligence in Education, 2024
The ability of children to ask curiosity-driven questions is an important skill that helps improve their learning. For this reason, previous research has explored designing specific exercises to train this skill. Several of these studies relied on providing semantic and linguistic cues to train them to ask more of such questions (also called…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Inquiry
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Priya C. Kumar; Kelley Cotter; Laura Y. Cabrera – Reading Research Quarterly, 2024
Questions and concerns about artificial intelligence (AI) technologies in education reached a fever pitch with the arrival of publicly accessible, user-facing generative AI systems, especially ChatGPT. Many of these issues will require regulation and collective action to address. But when it comes to generative AI and literacy, we argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Literacy
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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