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Showing 31 to 45 of 52 results Save | Export
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Yasemin Copur-Gencturk; Jingxian Li; Sebnem Atabas – American Educational Research Journal, 2024
Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…
Descriptors: Artificial Intelligence, Faculty Development, Individualized Instruction, Interaction
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Yijia Yuan – Interactive Learning Environments, 2024
This experimental research examined the effectiveness of using chatbots in English as a Foreign Language (EFL) classrooms at a Chinese elementary school. Seventy-four students were divided into two groups: one employing traditional methods, and the other using chatbots. Before and after the 3-month teaching period, pre- and post-tests were used to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
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Catherine Lammert; Samuel DeJulio; Stephanie Grote-Garcia; Lucretia M. Fraga – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…
Descriptors: Artificial Intelligence, Lesson Plans, Access to Education, Educational Quality
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Yuchen Chen; Xinli Zhang; Lailin Hu – Educational Technology & Society, 2024
In conventional ancient Chinese poetry learning, students tend to be under-motivated and fail to understand many aspects of poetry. As generative artificial intelligence (GAI) has been applied to education, image-GAI (iGAI) provides great opportunities for students to generate visualized images based on their descriptions of poems, and to situate…
Descriptors: Elementary School Students, Grade 5, Poetry, Artificial Intelligence
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Okan Yeti?sensoy; Hidir Karaduman – Education and Information Technologies, 2024
The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…
Descriptors: Artificial Intelligence, Grade 6, Social Studies, Middle School Students
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Aydin, Sevim; Duman, Emel; Bertiz, Yasemin; Birisçi, Salih – Journal of Educational Technology and Online Learning, 2022
In this study, it was aimed to investigate the change in the conceptual understanding of "artificial intelligence". For this purpose, the determination of the metaphors related to the concept of artificial intelligence in the stages before and after watching the artificial intelligence-themed computer-aided animation developed within the…
Descriptors: Artificial Intelligence, Figurative Language, Animation, Grade 5
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Chen, Chih-Hung; Koong, Chorng-Shiuh; Liao, Chien – Educational Technology & Society, 2022
Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…
Descriptors: Evaluation Methods, Speech Communication, Speech Skills, Anxiety
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Deveci Topal, Arzu; Dilek Eren, Canan; Geçer, Aynur Kolburan – Education and Information Technologies, 2021
This study aims to investigate the effect of chatbots that work with artificial intelligence on the success of students and their opinions about chatbots in the 'Matter and the changing state of matter' unit in the 5th grade science course. In addition to text-based functions, the designed chatbot includes a video accessed on the web to support…
Descriptors: Science Education, Elementary School Science, Elementary School Students, Grade 5
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Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
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Açisli Çelik, Sibel; Ergin, Ismet – International Journal of Research in Education and Science, 2022
This research was supported within the scope of TÜBITAK-4004 Nature Education and Science Schools Program with Project number 121B899. In this research, it is aimed to evaluate the "Artvin gets Color with Science and Robotics 2" project, which was carried out with 30 secondary school 6th and 7th grade students between 2-8 August 2021…
Descriptors: Foreign Countries, Secondary School Students, Grade 6, Grade 7
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Fancsali, Stephen E.; Li, Hao; Sandbothe, Michael; Ritter, Steven – International Educational Data Mining Society, 2021
Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…
Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology
Rose E. Wang; Ana T. Ribeiro; Carly D. Robinson; Susanna Loeb; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2024
Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Tutors, Elementary School Students
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Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
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Çevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction
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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
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