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Self, John – International Journal of Artificial Intelligence in Education, 2016
This document tries to describe the events of the early days of AIED research that led to the AIED Conferences and Society and, in particular, the "International Journal of Artificial Intelligence in Education."
Descriptors: Periodicals, Artificial Intelligence, Educational Research, Educational History
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Shute, Valerie J.; Smith, Ginny; Kuba, Renata; Dai, Chih-Pu; Rahimi, Seyedahmad; Liu, Zhichun; Almond, Russell – Grantee Submission, 2020
In honor of Jim Greer, we share our recent work--a design and development study of various learning supports embedded within the game "Physics Playground." This 2-dimensional computer game is designed to help students learn Newtonian physics and uses stealth assessment to measure, in real-time, their physics understanding. The game…
Descriptors: Physics, Educational Games, Computer Games, Science Education
Graesser, Arthur C. – Grantee Submission, 2016
AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Communication Strategies, Dialogs (Language)
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Johnson, W. Lewis; Lester, James C. – International Journal of Artificial Intelligence in Education, 2016
Johnson et al. ("International Journal of Artificial Intelligence in Education," 11, 47-78, 2000) introduced and surveyed a new paradigm for interactive learning environments: animated pedagogical agents. The article argued for combining animated interface agent technologies with intelligent learning environments, yielding intelligent…
Descriptors: Teaching Methods, Intelligent Tutoring Systems, Outcomes of Education, Computer Assisted Instruction
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Dimitrova, Vania; Brna, Paul – International Journal of Artificial Intelligence in Education, 2016
STyLE-OLM (Dimitrova 2003 "International Journal of Artificial Intelligence in Education," 13, 35-78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can "inspect," "discuss" and "alter" the learner model that has been jointly…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Interaction
Snow, Erica L.; Likens, Aaron D.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2015
Game-based environments frequently afford students the opportunity to exert agency over their learning paths by making various choices within the environment. The combination of log data from these systems and dynamic methodologies may serve as a stealth means to assess how students behave (i.e., deterministic or random) within these learning…
Descriptors: High School Students, Pretests Posttests, Teaching Methods, Technology Uses in Education
Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2016
Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…
Descriptors: Reading Comprehension, Writing Strategies, Reading Strategies, Content Area Writing
Nye, Benjamin D.; Graesser, Arthur C.; Hu, Xiangen – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
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Cukurova, Mutlu; Luckin, Rosemary; Kent, Carmel – International Journal of Artificial Intelligence in Education, 2020
Artificial Intelligence (AI) is attracting a great deal of attention and it is important to investigate the public perceptions of AI and their impact on the perceived credibility of research evidence. In the literature, there is evidence that people overweight research evidence when framed in neuroscience findings. In this paper, we present the…
Descriptors: Artificial Intelligence, Educational Research, Attitudes, Credibility
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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
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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
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Lodder, Josje; Heeren, Bastiaan; Jeuring, Johan; Neijenhuis, Wendy – International Journal of Artificial Intelligence in Education, 2021
This paper describes LOGAX, an interactive tutoring tool that gives hints and feedback to a student who stepwise constructs a Hilbert-style axiomatic proof in propositional logic. LOGAX generates proofs to calculate hints and feedback. We compare these generated proofs with expert proofs and student solutions, and conclude that the quality of the…
Descriptors: Intelligent Tutoring Systems, Cues, Feedback (Response), Mathematical Logic
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Roll, Ido; Wylie, Ruth – International Journal of Artificial Intelligence in Education, 2016
The field of Artificial Intelligence in Education (AIED) has undergone significant developments over the last twenty-five years. As we reflect on our past and shape our future, we ask two main questions: What are our major strengths? And, what new opportunities lay on the horizon? We analyse 47 papers from three years in the history of the…
Descriptors: Educational Research, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2021
Educational technologies are often developed such that students work on specific social levels (e.g., individual, small group, whole class) at specific times. However, in the reality of the classroom, learning activities are not so cleanly divided, with transitions occurring between social levels for students at different times. To support these…
Descriptors: Individual Instruction, Small Group Instruction, Educational Technology, Elementary School Teachers
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Lawson, Alyssa P.; Mayer, Richard E.; Adamo-Villani, Nicoletta; Benes, Bedrich; Lei, Xingyu; Cheng, Justin – International Journal of Artificial Intelligence in Education, 2021
There has been much research on the effectiveness of animated pedagogical agents in an educational context, however there is little research about how the emotions they display contribute to a learner's understanding of the lesson. The positivity principle suggests that learners should learn better from instructors with positive emotions compared…
Descriptors: Psychological Patterns, Animation, Recognition (Psychology), Artificial Intelligence
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