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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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Muhammet Remzi Karaman; I?dris Göksu – International Journal of Technology in Education, 2024
In this research, we aimed to determine whether students' math achievements improved using ChatGPT, one of the chatbot tools, to prepare lesson plans in primary school math courses. The research was conducted with a pretest-posttest control group experimental design. The study comprises 39 third-grade students (experimental group = 24, control…
Descriptors: Artificial Intelligence, Natural Language Processing, Lesson Plans, Instructional Effectiveness
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Yu Bai; Jun Li; Jun Shen; Liang Zhao – IEEE Transactions on Learning Technologies, 2024
The potential of artificial intelligence (AI) in transforming education has received considerable attention. This study aims to explore the potential of large language models (LLMs) in assisting students with studying and passing standardized exams, while many people think it is a hype situation. Using primary education as an example, this…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
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Ching-Huei Chen; Ching-Ling Chang – Education and Information Technologies, 2024
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. A total of 202 seventh graders were recruited and randomly assigned to the following three groups: (1) Game only (N = 70), (2) GameGPT (N = 63), and (3)…
Descriptors: Artificial Intelligence, Game Based Learning, Technology Uses in Education, Science Instruction
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Zuzana Svobodová; Jaroslav Kríž; Jaroslav Veteška – Acta Educationis Generalis, 2024
Introduction: The integration of digital technologies and virtual co-teaching has become a common practice in education. This was accelerated by the COVID-19 pandemic. These innovations play a key role in addressing global challenges and are a response to digital advances to which primary and secondary schools need to adaptively respond. Methods:…
Descriptors: Team Teaching, Instructional Innovation, Teaching Methods, Electronic Learning
Mozer, Reagan; Miratrixy, Luke; Relyea, Jackie Eunjung; Kim, James S. – Annenberg Institute for School Reform at Brown University, 2021
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Automation, Data Analysis, Natural Language Processing
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Chen, Beyin; Hwang, Gwo-Haur; Wang, Shen-Hua – Educational Technology & Society, 2021
The application of artificial intelligence (AI) in education is now widespread, and the use of robots in education has demonstrated a positive influence on students' behavior and development. However, the use of emerging technologies usually results in cognitive load, especially for elementary school students whose learning capacity has not yet…
Descriptors: Cognitive Processes, Difficulty Level, Game Based Learning, Robotics
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Wilson, Joshua; Roscoe, Rod D. – Journal of Educational Computing Research, 2020
The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used "Project Essay Grade Writing" (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics:…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Instructional Effectiveness
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Huang, Tao; Liang, Mengyi; Yang, Huali; Li, Zhi; Yu, Tao; Hu, Shengze – International Educational Data Mining Society, 2021
Influenced by COVID-19, online learning has become one of the most important forms of education in the world. In the era of intelligent education, knowledge tracing (KT) can provide excellent technical support for individualized teaching. For online learning, we come up with a new knowledge tracing method that integrates mathematical exercise…
Descriptors: Mathematics Instruction, Teaching Methods, Online Courses, Distance Education
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Donnelly, Dermot F.; Vitale, Jonathan M.; Linn, Marcia C. – Journal of Science Education and Technology, 2015
Middle school students struggle to explain thermodynamics concepts. In this study, to help students succeed, we use a natural language processing program to analyze their essays explaining the aspects of thermodynamics and provide guidance based on the automated score. The 346 sixth-grade students were assigned to either the critique condition…
Descriptors: Middle School Students, Grade 6, Secondary School Science, Thermodynamics
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Janson, Annick; Janson, Robin – Innovate: Journal of Online Education, 2009
In this article, Annick Janson and Robin Janson introduce research from the Microsoft New Zealand's Partners in Learning Programme by documenting the impact of digital learning objects (DLOs) on educational practice. Janson and Janson describe the impact of DLOs on the teaching practice of a primary school in New Zealand, tracing the effects of…
Descriptors: Educational Practices, Foreign Countries, Instructional Leadership, Principals