AI in CAI : An artificial intelligence approach to computer-assisted instruction
By J. R. Carbonell. 1970
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- Shane T. Mueller
- Robert R. Hoffman
- A. Graesser
- Gary Klein
- Gwo-Jen Hwang
- Benjamin D. Nye
- Spence Green
- Jason Chuang
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “In fact, what might be seen as the very first intelligent tutoring system, Carbonell’s Scholar (Carbonell, 1970), was a Socratic tutor that carried on a meaningful dialogue with the learner about the causes of rainfall.”
- Predictive translation memory: a mixed-initiative system for human language translation (2014, background): “Language translation has all the makings of a mixed-initiative task [11].”
- Empowering educators to be AI-ready (2022, background): “Despite its relatively small community of researchers, AI in Education has been around for about half a century since Carbonell ’ s seminal work on an adaptive geography instruction system called SCHOLAR (Carbonell, 1970).”
- Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments (2000, background): “As in previous work, students can learn and practice skills in a virtual world, and the computer can interact with students through mixed-initiative, tutorial dialogue (Carbonell 1970) in the role of a coach (Goldstein 1976; Burton & Brown 1982) or learning companion (Chan 1996).”
- The Social and Technological Dimensions of Scaffolding and Related Theoretical Concepts for Learning, Education, and Human Activity (2004, background): “6Carbonell (1970) is most identified with the concept of mixed initiative systems for learning sup-”
- Effectiveness of Intelligent Tutoring Systems (2016, methodology): “A different type of computer tutoring system appeared in research laboratories and Effectiveness of Intelligent Tutoring Systems 43 classrooms during the 1970s and 1980s (e.g., Carbonell, 1970; Fletcher, 1985; Sleeman & Brown, 1982).”
- Stupid Tutoring Systems, Intelligent Humans (2016, background): “These systems would explicitly incorporate knowledge about the domain and about pedagogy (see discussion in Wenger 1987), as part of engaging students in complex and effective mixed-initiative learning dialogues (Carbonell 1970).”
- AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring (2014, background): “The SCHOLAR tutor, noted previously, had very limited language understanding and could get very little out of wrong or off-topic answers (Carbonell 1970).”
- Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020, background): “The first Intelligent Tutoring System “SCHOLAR” was designed to support geography learning, and was capable of generating interactive responses to student statements (Carbonell, 1970).”
- Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review (2023, background): “The overall concept can be traced back to 1970 (Carbonell, 1970).”
- Stimulating and sustaining interest in a language course: An experimental comparison of Chatbot and Human task partners (2017, background): “Arising out of Computer Assisted Instruction (CAI), early attempts at intelligent tutors (e.g., Carbonell,1970) initially aimed to anticipate rather than interact with learners.”
- Managing computational complexity using surrogate models: a critical review (2020, background): “Adaptive learning is a particular machine learning technique that is semi-supervised, and its algorithm can refer to the information source interactively to achieve the favored outcomes for a newly generated data set (Carbonell 1970).”
- Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies (2020, methodology): “Among the implementations of AI-enabled embedded assessment are: intelligent tutoring systems (Carbonell, 1970; Mark & Greer, 1995; VanLehn, 2011); log file and clickstream analyses that predict learner success (Crossley, Paquette, Dascalu, McNamara, & Baker, 2016); games and simulations that…”
- A vision for the development of i-campus (2015, background): “…which provide dynamic feedbacks to learning situations according to expert knowledge of learning domains and the current learning state of learners (Carbonell 1970; Sleeman and current learning systems has been reported in different contexts and settings, ranging from provision of courses and…”