Stupid Tutoring Systems, Intelligent Humans

By Ryan Shaun Joazeiro de Baker. International Journal of Artificial Intelligence in Education, 2016

376 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/4828f7aa1acc8bdc7b3100893c10f0cc94f2cf16

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Citations in the corpus

Translating the ICAP Theory of Cognitive Engagement Into Practice (2018, background): “For example, in the educational data-mining literature (Baker, 2016) as well as the intelligent tutoring system literature (D’Mello, Olney, Williams, & Hays, 2012), active leaning often means having the system be able to detect whether students are looking at the relevant materials presented on the ”
Leading teachers' perspective on teacher-AI collaboration in education (2023, positive): “…to support students directly, but also to take advantage of teachers’ complementary strengths and amplify their abilities to support their students (Baker, 2016; Holstein et al., 2017), recent work has proposed what is known as the augmentation perspective, highlighting the role of AI to…”
Empowering educators to be AI-ready (2022, positive): “…to support students ’ academic performance (Li, Gobert, & Dickler, 2019; VanLehn, Banerjee, Milner, & Wetzel, 2020), their affective engagement (Baker, 2016; D ’ Mello et al., 2010), and metacognitive development (Azevedo, Cromley, & Seibert, 2004; Laru & J ¨ arvel ¨ a, 2015) in controlled…”
Designing educational technologies in the age of AI: A learning sciences-driven approach (2019, background): “First of all, there is limited evidence about the adoption of these technologies at scale (Baker, 2016).”
Understanding Difficulties and Resulting Confusion in Learning: An Integrative Review (2018, background): “However, much remains to be done before these systems can be regarded as being truly adaptive to the affective components of student learning and applied at scale (Baker, 2016).”
Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity (2019, background): “In line with the literature on function allocation in human–machine systems, other researchers have since proposed optimizing student learning by leveraging complementary strengths of human and AI instruction (e.g., Baker, 2016; Ritter, Yudelson, Fancsali, & Berman, 2016).”
The impact of artificial intelligence on learner–instructor interaction in online learning (2021, background): “In this context, Baker (2016, p. 603) tried to reconcile humans with AI systems by combining “stupid tutoring systems and intelligent humans.””
Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019, background): “It is noticeable that three of them were contributed by researchers from the Teachers College at Columbia University, New York, USA (Baker, 2016; Paquette, Lebeau, Beaulieu, & Mayers, 2015; Perin & Lauterbach, 2018) – and they were all published in the same journal, i.e. the International Journal of”