NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
Massachusetts Comprehensive…2
What Works Clearinghouse Rating
Showing 1 to 15 of 20 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Ningyu; Biswas, Gautam; Hutchins, Nicole – International Journal of Artificial Intelligence in Education, 2022
Strategies are an important component of self-regulated learning frameworks. However, the characterization of strategies in these frameworks is often incomplete: (1) they lack an operational definition of strategies; (2) there is limited understanding of how students develop and apply strategies; and (3) there is a dearth of systematic and…
Descriptors: Learning Strategies, Student Behavior, Educational Environment, Grade 6
Peer reviewed Peer reviewed
Direct linkDirect link
Geden, Michael; Emerson, Andrew; Carpenter, Dan; Rowe, Jonathan; Azevedo, Roger; Lester, James – International Journal of Artificial Intelligence in Education, 2021
Game-based learning environments are designed to provide effective and engaging learning experiences for students. Predictive student models use trace data extracted from students' in-game learning behaviors to unobtrusively generate early assessments of student knowledge and skills, equipping game-based learning environments with the capacity to…
Descriptors: Game Based Learning, Middle School Students, Microbiology, Secondary School Science
Peer reviewed Peer reviewed
Direct linkDirect link
Deane, Paul; Wilson, Joshua; Zhang, Mo; Li, Chen; van Rijn, Peter; Guo, Hongwen; Roth, Amanda; Winchester, Eowyn; Richter, Theresa – International Journal of Artificial Intelligence in Education, 2021
Educators need actionable information about student progress during the school year. This paper explores an approach to this problem in the writing domain that combines three measurement approaches intended for use in interim-assessment fashion: scenario-based assessments (SBAs), to simulate authentic classroom tasks, automated writing evaluation…
Descriptors: Vignettes, Writing Evaluation, Writing Improvement, Progress Monitoring
Peer reviewed Peer reviewed
Direct linkDirect link
Matsuda, Noboru; Weng, Wenting; Wall, Natalie – International Journal of Artificial Intelligence in Education, 2020
The effect of metacognitive scaffolding for learning by teaching was investigated and compared against learning by being tutored. Three versions of an online learning environment for learning algebra equations were created: (1) APLUS that allows students to interactively teach a synthetic peer with a goal to have the synthetic peer pass the quiz…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Tutoring, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Yeung, Chun-Kit; Yeung, Dit-Yan – International Journal of Artificial Intelligence in Education, 2019
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…
Descriptors: Data Analysis, Careers, Prediction, Employment
Peer reviewed Peer reviewed
Direct linkDirect link
Chase, Catherine C.; Connolly, Helena; Lamnina, Marianna; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2019
A successful instructional method is to engage learners with exploratory problem-solving before providing explanations of the canonical solutions and foundational concepts. A key question is whether and what type of guidance will lead learners to explore more productively and how this guidance will affect subsequent learning and transfer. We…
Descriptors: Computer Assisted Instruction, Teaching Methods, Learner Engagement, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Gonzalez, Avelino J.; Hollister, James R.; DeMara, Ronald F.; Leigh, Jason; Lanman, Brandan; Lee, Sang-Yoon; Parker, Shane; Walls, Christopher; Parker, Jeanne; Wong, Josiah; Barham, Clayton; Wilder, Bryan – International Journal of Artificial Intelligence in Education, 2017
This paper describes an interactive museum exhibit featuring an avatar of Alan Turing that informs museum visitors about artificial intelligence and Turing's seminal Turing Test for machine intelligence. The objective of the exhibit is to engage and motivate visiting children in the hope of sparking an interest in them about computer science and…
Descriptors: Artificial Intelligence, Informal Education, Science Education, Interaction
Peer reviewed Peer reviewed
Direct linkDirect link
Cutumisu, Maria; Blair, Kristen P.; Chin, Doris B.; Schwartz, Daniel L. – International Journal of Artificial Intelligence in Education, 2017
We introduce a choice-based assessment strategy that measures students' choices to seek constructive feedback and to revise their work. We present the feedback system of a game we designed to assess whether students choose positive or negative feedback and choose to revise their posters in the context of a poster design task, where they learn…
Descriptors: Student Evaluation, Feedback (Response), Games, Task Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
McLaren, Bruce M.; Adams, Deanne M.; Mayer, Richard E. – International Journal of Artificial Intelligence in Education, 2015
Erroneous examples--step-by-step problem solutions with one or more errors for students to find and fix--hold great potential to help students learn. In this study, which is a replication of a prior study (Adams et al. 2014), but with a much larger population (390 vs. 208), middle school students learned about decimals either by working with…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Arithmetic, Mathematics Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Rau, M. A.; Aleven, V.; Rummel, N.; Pardos, Z. – International Journal of Artificial Intelligence in Education, 2014
Providing learners with multiple representations of learning content has been shown to enhance learning outcomes. When multiple representations are presented across consecutive problems, we have to decide in what sequence to present them. Prior research has demonstrated that interleaving "tasks types" (as opposed to blocking them) can…
Descriptors: Intelligent Tutoring Systems, Visual Aids, Mathematics, Mixed Methods Research
Peer reviewed Peer reviewed
Direct linkDirect link
Pareto, Lena – International Journal of Artificial Intelligence in Education, 2014
In this paper we will describe a learning environment designed to foster conceptual understanding and reasoning in mathematics among younger school children. The learning environment consists of 48 2-player game variants based on a graphical model of arithmetic where the mathematical content is intrinsically interwoven with the game idea. The…
Descriptors: Concept Formation, Mathematical Concepts, Mathematics Instruction, Educational Games
Previous Page | Next Page ยป
Pages: 1  |  2