The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes
By Michelene T. H. Chi, Ruth Wylie. 2014
2,526 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/9f30b9a4796209ea5ae872ff8959247ebeb15742
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Richard E. Mayer
- Logan Fiorella
- Michelene T. H. Chi
- Hermann Körndle
- Cornelia Schoor
- Susanne Narciss
- Ruth Wylie
- Lena von Kotzebue
In Developmental and Educational Psychology
- Richard E. Mayer
- Logan Fiorella
- Hermann Körndle
- Cornelia Schoor
- Susanne Narciss
- Hanna Järvenoja
- Sanna Järvelä
- Timothy J. Nokes-Malach
In Experimental and Cognitive Psychology
- Richard E. Mayer
- Logan Fiorella
- Michelene T. H. Chi
- Hermann Körndle
- Cornelia Schoor
- Susanne Narciss
- Lena von Kotzebue
- Sonja Werner
Citations in the corpus
- Beneath the numbers: A review of gender disparities in undergraduate education across science, technology, engineering, and math disciplines (2016, neutral): “Chi and Wylie’s [75] Interactive, Constructive, Active, Passive (ICAP) framework is one way that researchers could conceptualize the quality of student interactions in small groups and explore whether gender influences student contributions.”
- Effects of biology teachers’ professional knowledge and cognitive activation on students’ achievement (2016, methodology): “Therefore, teaching practices, which are assumed to be cognitively activating (Lipowsky, 2009) or lead to students’ acting at least on the constructive level (cf. ICAP framework; Chi & Wylie, 2014), can be used for describing cognitive activation indirectly.”
- Eight Ways to Promote Generative Learning (2016, methodology): “Wittrock’s early conception of generative learning and Mayer’s SOI framework—as well as other similar frameworks of active learning (e.g., Chi and Wylie 2014; Kiewra 2005; Kintsch 1998—have resulted in a large body of empirical research investigating ways in which teachers and students can foster…”
- When Is It Better to Learn Together? Insights from Research on Collaborative Learning (2015, background): “At the top of the engagement activities hierarchy are interactive behaviors defined as Bdialogues that meet two criteria: (a) utterances must be primarily constructive, and (b) a sufficient degree of turn taking must occur^ (Chi and Wiley 2014 p. 223).”
- Socially shared regulation of learning and participation in social interaction in collaborative learning (2017, background): “Social interaction in collaborative learning invites individuals to share and elaborate divergent perspectives and ultimately extend their thinking beyond individual capabilities (Chi & Wylie, 2014; Dillenbourg, 1999; Scardamalia & Bereiter, 2014;Webb, 2013).”
- Regulation During Cooperative and Collaborative Learning: A Theory-Based Review of Terms and Concepts (2015, methodology): “An example is the behavior that has been described as interactive mode of engagement within the ICAP framework (Chi & Wylie, 2014).”
- Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback (2020, methodology): “This emphasis on self-reflection and activity is echoed by several learning theories, such as the sense-making process highlighted by the KLI framework [1]), and the emphasis on active interaction with the learning material suggested by the ICAP framework [10].”
- Seven Affordances of Computer-Supported Collaborative Learning: How to Support Collaborative Learning? How Can Technologies Help? (2016, neutral): “…review of all relevant theories is beyond the scope of this article, but we encourage interested readers to consult other theoretical overviews (Chi & Wylie, 2014; Dillenbourg, 1999; Hakkarainen, 2013; O’Donnell & O’Kelly, 1994; Rogoff, 1998; Sawyer, 2014; Scardamalia & Bereiter, 2014; Stahl,…”
- How Students Learn Content in Science, Technology, Engineering, and Mathematics (STEM) Through Drawing Activities (2019, neutral): “From a cognitive perspective, drawing is an instructional activity that can help students internally make sense of content (Chi and Wylie 2014; Leutner and Schmeck 2014; Van Meter and Firetto 2013).”
- Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math (2020, neutral): “Following earlier work, we define traditional lecturing as continuous exposition by the instructor with student involvement limited to occasional questions; we define active learning as any approach that engages students in the learning process through in-class activities, with an emphasis on higher”
- Translating the ICAP Theory of Cognitive Engagement Into Practice (2018, methodology): “ICAP was further extended in 2014 (Chi & Wylie, 2014) to include the Passive mode, because numerous laboratory and classroom studies the paper cited contrasted the Passive mode with one of these three alternative active modes.”
- Inducing Self-Explanation: a Meta-Analysis (2018, neutral): “Although several reviews of relevant self-explanation studies support its use as a study skill (Rittle-Johnson and Loehr 2017; Chi and Wylie 2014; Dunlosky et al. 2013), we could find no published report that comprehensively synthesized research investigating the relationship between…”