Changing Minds: Computers, Learning, and Literacy
By Andrea A. diSessa. 2000
948 citations recorded by the source corpus.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f0bf9c0f55af154d2c489b81d0caa307f6202fdd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Marcia C. Linn
- Yasmin B. Kafai
- Mitchel Resnick
- Leo Burd
- Ann Renninger
- Brian Silverman
- Uri Wilensky
- Paul Cobb
Citations in the corpus
- Assessing Knowledge Integration in Science: Construct, Measures, and Evidence (2008, neutral): “This knowledge integration view of science learning and instruction resonates with recent instructional research in science education (see Bransford, Brown, & Cocking, 1999; diSessa, 2000; Edelson, 2001; Linn et al., 2004; Quintana et al., 2004; Vosniadou & Ioannides, 1998).”
- IEA International Computer and Information Literacy Study 2018 Assessment Framework (2019, positive): “While ICILS acknowledges that, conceptually, CT may be included in the broader concept of computer literacy (see, for example, diSessa 2000), ICILS 2018 distinguishes the functional aspects of computer literacy that support the use of digital devices when managing digital information from the…”
- Educational robotics: Open questions and new challenges (2013, background): “In line with the above questioning, an important distinction emerges between “technical competence”, that is in-depth knowledge necessary for professional engineers and scientists to do their work, and “technological fluency or literacy”, meaning knowledge, skills and attitudes valuable for every ci”
- Learning by Design: Good Video Games as Learning Machines (2005, background): “Science educator Andy diSessa’s book Changing Minds: computers, learning, and literacy (diSessa, 2000) offers many related principles without ever mentioning video games.”
- Game–like learning: An example of situated learning and implications for opportunity to learn (2008, background): “The same applies for good anthropologists, linguists, urban planners, army officers, doctors, artists, literary critics, historians, and so on (diSessa 2000; Lave 1996; Ochs, Gonzales, and Jacoby 1996; Shaffer 2004).”
- Defining Computational Thinking for Mathematics and Science Classrooms (2016, background): “Another important perspective on computational thinking comes from the work of diSessa (2000) and his book Changing Minds.”
- The Four-Phase Model of Interest Development (2006, background): “Likewise, his discussion of the role of repeated experience as a basis of interest development is consistent with educational interest research (e.g., Alexander, 1997; Dewey, 1913; Krapp, 2000; Krapp & Fink, 1992; Krapp et al., 1992; Prenzel, 1992; Renninger, 1989, 1990; H. Schiefele et al., 1983).”
- Scratch: a sneak preview [education] (2004, methodology): “" Many others (e.g., [Papert, 1980]; [Kay, 1991]; and [diSessa, 2000]) have made similar arguments.”
- Tapping Epistemological Resources for Learning Physics (2003, background): “Educators have recognized this area of child expertise and sought to tap it in the service of science learning (diSessa, 2000; Harel & Papert, 1991; Hmelo, Holton, & Kolodner, 2000; Papert, 1980; Penner, Lehrer, & Schauble, 1998).”
- Designing for deeper learning in a blended computer science course for middle school students (2015, background): “Although not included in this literature review due to space constraints, this research bene fi ts from a thorough background study of CT and associated ideas of “ computational literacy ” (DiSessa, 2001) conducted by the authors in Grover and Pea (2013).”
- Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework (2013, background): “Along similar lines, several other researchers have shown that programming and computational modeling can serve as effective vehicles for learning challenging science and math concepts (Guzdial, 1995; Sherin, 2001; Hambrusch et al., 2009; Blikstein & Wilensky, 2009; diSessa, 2000; Kaput, 1994; Kynig”
- Computational Thinking in K–12 (2013, background): “It is worth noting here that the potent idea of “computational literacy” (diSessa, 2000) pre-dates Wing’s charter for CT for all.”