When Are Tutorial Dialogues More Effective Than Reading?

By Kurt VanLehn, A. Graesser, G. T. Jackson, Pamela W. Jordan, Andrew McGregor Olney, Carolyn Penstein Rosé. Cognitive Sciences, 2007

461 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/5369a4533f49944285ecfc5f08e6f83657ba616f

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In Developmental and Educational Psychology

Citations in the corpus

A meta-analysis of the effectiveness of intelligent tutoring systems on college students' academic learning (2014, unknown): “Of the 35 reports, 33 each contained one independent study, one report (VanLehn et al., 2007) contained four studies, and another report (Koch & Gobell, 1999) contained two studies.”
Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features (2010, background): “The impact of AutoTutor in facilitating the learning of deep conceptual knowledge has been validated in more than a dozen experiments on college students (Graesser et al. 2004; Storey et al. (in press); VanLehn et al. 2007).”
Active-Constructive-Interactive: A Conceptual Framework for Differentiating Learning Activities (2009, methodology): “…or copying-and-pasting some parts of a text (Igo, Bruning, & McCrudden, 2005), repeating sentences verbatim or copying problem solution steps (VanLehn et al., 2007), summarizing paragraphs using delete and substitution rules (Brown & Day, 1983), manipulating video tapes such as pausing and…”
Interacting with educational chatbots: A systematic review (2022, background): “Furthermore, conversational agents have been used to meet a variety of educational needs such as question-answering (Feng et al., 2006), tutoring (Heffernan & Croteau, 2004; VanLehn et al., 2007), and language learning (Heffernan & Croteau, 2004; VanLehn et al., 2007).”
The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems (2011, methodology): “A common belief among computer tutoring researchers is that human tutoring has an effect size of d = 2.0 relative to classroom teaching without tutoring (Bloom, 1984; Corbett, 2001; Evens & Michael, 2006; Graesser et al., 2001; VanLehn et al., 2007; Woolf, 2009).”
Translating the ICAP Theory of Cognitive Engagement Into Practice (2018, background): “, 2002), underlining (which is similar to highlighting, or clipping-and-pasting) certain text sentences (Katayama, Shambaugh, & Doctor, 2005), copying some problem solution steps (VanLehn et al., 2007), mixing certain chemical amounts in a hands-on laboratory (Yaron, Karabinos, Lange, Greeno, & Lein”
The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes (2014, unknown): “…underlining certain text sentences that they think are important (Katayama, Shambaugh, & Doctor, 2005), copying some of the problem solution steps (VanLehn et al., 2007), mixing certain chemical amounts in a hands-on laboratory (Yaron, Karabinos, Lange, Greeno, & Leinhardt, 2010), choosing a…”
Handbook of Research on Learning and Instruction (2011, background): “In the final section, we articulate the potential of conceptual change research to advance our understanding of motor skill learning in physical education.”
Gaze tutor: A gaze-reactive intelligent tutoring system (2012, background): “Instead, we found that expert tutor lectures were highly collaborative, presumably because the expert tutors acknowledge that active participation, even during lectures, is key to learning and engagement (Chi et al., 2008; VanLehn et al., 2007).”
Dynamics of affective states during complex learning (2012, background): “The impact of AutoTutor in facilitating the learning of deep conceptual knowledge has been validated in over a dozen experiments on college students (Graesser et al., 2004; VanLehn et al., 2007).”
Effectiveness of Intelligent Tutoring Systems (2016, methodology): “Graesser et al. (2004) referred to such control material as textbook-reduced ; VanLehn et al. (2007) called it canned text .”