Publication Date
In 2024 | 0 |
Since 2023 | 27 |
Since 2020 (last 5 years) | 88 |
Since 2015 (last 10 years) | 172 |
Since 2005 (last 20 years) | 209 |
Descriptor
Source
International Journal of… | 209 |
Author
Koedinger, Kenneth R. | 8 |
Barnes, Tiffany | 6 |
Matsuda, Noboru | 5 |
McNamara, Danielle S. | 5 |
Azevedo, Roger | 4 |
Baker, Ryan S. | 4 |
Chi, Min | 4 |
Conati, Cristina | 4 |
Litman, Diane | 4 |
McLaren, Bruce M. | 4 |
Mitrovic, Antonija | 4 |
More ▼ |
Publication Type
Journal Articles | 209 |
Reports - Research | 209 |
Tests/Questionnaires | 8 |
Information Analyses | 3 |
Reports - General | 1 |
Education Level
Higher Education | 51 |
Postsecondary Education | 37 |
Secondary Education | 21 |
Middle Schools | 17 |
Elementary Education | 16 |
High Schools | 11 |
Junior High Schools | 11 |
Grade 8 | 7 |
Elementary Secondary Education | 5 |
Grade 7 | 5 |
Grade 5 | 4 |
More ▼ |
Audience
Location
Pennsylvania | 3 |
Canada | 2 |
Europe | 2 |
Massachusetts | 2 |
Philippines | 2 |
United States | 2 |
Arizona | 1 |
Australia | 1 |
California (San Diego) | 1 |
China | 1 |
Costa Rica | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Flesch Kincaid Grade Level… | 1 |
Law School Admission Test | 1 |
Massachusetts Comprehensive… | 1 |
NEO Five Factor Inventory | 1 |
Raven Progressive Matrices | 1 |
What Works Clearinghouse Rating
Tang, Jingwan; Zhou, Xiaofei; Wan, Xiaoyu; Daley, Michael; Bai, Zhen – International Journal of Artificial Intelligence in Education, 2023
The advances of machine learning (ML) in scientific discovery (SD) reveal exciting opportunities to utilize it as a cross-cutting tool for inquiry-based learning in K-12 STEM classrooms. There are, however, limited efforts on providing teachers with sufficient knowledge and skills to integrate ML into teaching. Our study addresses this gap by…
Descriptors: STEM Education, Artificial Intelligence, Elementary School Teachers, Secondary School Teachers
Bamdev, Pakhi; Grover, Manraj Singh; Singla, Yaman Kumar; Vafaee, Payman; Hama, Mika; Shah, Rajiv Ratn – International Journal of Artificial Intelligence in Education, 2023
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such assessments, it has become increasingly necessary to have the automated human-interpretable results to prevent inconsistencies and ensure meaningful feedback to the…
Descriptors: Language Proficiency, Automation, Scoring, Speech Tests
Ariely, Moriah; Nazaretsky, Tanya; Alexandron, Giora – International Journal of Artificial Intelligence in Education, 2023
Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…
Descriptors: Artificial Intelligence, Algorithms, Natural Language Processing, Hebrew
Galafassi, Cristiano; Galafassi, Fabiane Flores Penteado; Vicari, Rosa Maria; Reategui, Eliseo Berni – International Journal of Artificial Intelligence in Education, 2023
This work presents the intelligent tutoring system, EvoLogic, developed to assist students in problems of natural production in propositional logic. EvoLogic has been modeled as a multiagent system composed of three autonomous agents: interface, pedagogical and specialist agents. It supports pedagogical strategies inspired by the theory of…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Models, Teaching Methods
Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
Williams, Randi; Ali, Safinah; Devasia, Nisha; DiPaola, Daniella; Hong, Jenna; Kaputsos, Stephen P.; Jordan, Brian; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly ubiquitous in everyday life. To empower children growing up with AI to navigate society's evolving sociotechnical context, we developed three middle school AI literacy curricula: "Creative AI,| "Dancing with AI," and "How to Train Your…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Curriculum
Bellas, Francisco; Guerreiro-Santalla, Sara; Naya, Martin; Duro, Richard J. – International Journal of Artificial Intelligence in Education, 2023
This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as a two-year subject. The curriculum was designed based on two premises. The first one is that, although the proposal is targeted to scientific programmes, the involved students and teachers do not have any…
Descriptors: Foreign Countries, Artificial Intelligence, Curriculum, High Schools
Ottenbreit-Leftwich, Anne; Glazewski, Krista; Jeon, Minji; Jantaraweragul, Katie; Hmelo-Silver, Cindy E.; Scribner, Adam; Lee, Seung; Mott, Bradford; Lester, James – International Journal of Artificial Intelligence in Education, 2023
With accelerating advances in artificial intelligence, it is clear that introducing K-12 students to AI is essential for preparation to interact with and potentially develop AI technologies. To succeed as the workers, creators, and innovators of the future, we argue students should encounter core concepts of AI as early as elementary school.…
Descriptors: Elementary School Students, Grade 4, Grade 5, Artificial Intelligence
Zhang, Helen; Lee, Irene; Ali, Safinah; DiPaola, Daniella; Cheng, Yihong; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
The rapid expansion of artificial intelligence (AI) necessitates promoting AI education at the K-12 level. However, educating young learners to become AI literate citizens poses several challenges. The components of AI literacy are ill-defined and it is unclear to what extent middle school students can engage in learning about AI as a…
Descriptors: Artificial Intelligence, Digital Literacy, Ethics, Middle School Students
Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
Wulff, Peter; Mientus, Lukas; Nowak, Anna; Borowski, Andreas – International Journal of Artificial Intelligence in Education, 2023
Computer-based analysis of preservice teachers' written reflections could enable educational scholars to design personalized and scalable intervention measures to support reflective writing. Algorithms and technologies in the domain of research related to artificial intelligence have been found to be useful in many tasks related to reflective…
Descriptors: Preservice Teachers, Preservice Teacher Education, Reflection, Writing (Composition)
Kuzilek, Jakub; Zdrahal, Zdenek; Vaclavek, Jonas; Fuglik, Viktor; Skocilas, Jan; Wolff, Annika – International Journal of Artificial Intelligence in Education, 2023
Student drop-out is one of the most critical issues that higher educational institutions face nowadays. The problem is significant for first-year students. These freshmen are especially at risk of failing due to the transition from different educational settings at high school. Thanks to the massive boom of Information and Communication…
Descriptors: Foreign Countries, College Freshmen, Engineering Education, Test Wiseness
Matsuda, Noboru; Lv, Dan; Zheng, Guoguo – International Journal of Artificial Intelligence in Education, 2023
When students learn skills to solve problems by teaching others, they often need to receive scaffolding to benefit from learning by teaching. To facilitate learning by teaching (aka tutor learning), two types of scaffolding have been commonly studied--the scaffolding on how to teach (to induce appropriate teaching activities) and the one on how to…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Experiential Learning, Instruction
Schulz, Sandra; McLaren, Bruce M.; Pinkwart, Niels – International Journal of Artificial Intelligence in Education, 2023
This paper develops a method for the construction and evaluation of cognitive models to support students in their problem-solving skills during robotics in school, aiming to build a basis for an implementation of a tutoring system in the future. Two Wizard-of-Oz studies were conducted, one in the classroom and one in the lab. Based on the…
Descriptors: Cognitive Processes, Models, Intelligent Tutoring Systems, Robotics