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Learning 21st-Century Skills Requires 21st-Century Teaching
Abstract
Globalization, economic necessity, and low civic engagement compound the urgency for students to develop the skills and knowledge they need for success. The interconnectedness of our global economy, ecosystem, and political networks require that students learn to communicate, collaborate, and problem solve with people worldwide. Employers demand fewer people with basic skill sets and more people with complex thinking and communication skills (Levy & Murnane, 2005). Low levels of civic engagement highlight the recognition that rote learning about government is not a sufficient way for students to learn how and why to be engaged citizens (Levine, 2012). But the movement toward 21st-century skills--as any movement--must define its objective, to wit, the skills that comprise the movement. Based on several hundred interviews with business, non-profit, and education leaders, Tony Wagner (2008) proposes that students need seven survival skills including: * Critical thinking and problem solving; * Collaboration and leadership; * Agility and adaptability; * Initiative and entrepreneurialism; * Effective oral and written communication; * Accessing and analyzing information; and * Curiosity and imagination The Assessment and Teaching of 21st-century Skills consortium (AT21CS), organizes skills, knowledge, and attitudes into four categories: ways of thinking, ways of working, tools for working, and living in the world (2012). Regardless of the skills included or the terms used to describe them, all 21st-century skills definitions are relevant to aspects of contemporary life in a complex world. Most focus on similar types of complex thinking, learning, and communication skills, and all are more demanding to teach and learn than rote skills. These abilities are also commonly referred to as higher-order thinking skills, deeper learning outcomes, and complex thinking and communication skills. Why students aren't learning them The outdated, transmission model of education, through which teachers transmit factual knowledge to students via lectures and textbooks, remains the dominant approach to compulsory education in much of the world (OECD, 2009). Through the transmission model, students can learn information, but typically don't have much practice applying the knowledge to new contexts, communicating it in complex ways, using it to solve problems, or using it as a platform to develop creativity. Therefore, transmission is not the most effective way to teach 21st-century skills. Students are not developing them because they are not being explicitly taught (Schleicher, 2012) and because they are more difficult to assess than factual retention (AT21CS, 2012). Nine lessons Despite the challenges, we can educate students differently. Learning scientists have taught us nine lessons relative to teaching 21st-century skills. All of the lessons are about how students learn 21st-century skills and how pedagogy can address their needs. Many of the lessons--especially transfer, metacognition, teamwork, technology, and creativity--are also 21st-century skills in themselves. #1. MAKE IT RELEVANT. To be effective, curriculum must be relevant to students' lives. To make curriculum relevant, teachers must begin with generative topics or topics that have an important place in the disciplinary or interdisciplinary study at hand and that resonate with learners and teachers (Perkins, 2010). The relevance of a specific topic is clearer to students when they understand how it fits within the big picture. In his book Making Learning Whole (2010), teaching and learning expert David Perkins uses baseball as an analogy to explain that players must know how hitting, catching, and running bases contribute to the game. Similarly, students need to understand how statistics fit into the bigger picture of mathematical thinking, and they must have a sense of the value of mathematical thinking in the first place. …
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“These competencies—creativity, critical thinking, communication, and collaboration—are foundational for addressing complex workplace challenges4.”
From Project based learning framework integrating industry collaboration to enhance student future readiness in higher education (2025) · cites this paper as [4]
In the citing paper
“An emerging technological age dictates that 21st-century competencies—creativity, critical thinking, communication, and collaboration—be integrated into higher education curricula rather than concentrating on the knowledge of disciplinary areas4.”
From Project based learning framework integrating industry collaboration to enhance student future readiness in higher education (2025) · cites this paper as [4]
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“Saavedra and Opfer4opined that the time has come to upgrade the pedagogical tools to PBL.”
From Project based learning framework integrating industry collaboration to enhance student future readiness in higher education (2025) · cites this paper as [4]
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Metadata
- Authors
- Saavedra, A. R., & Opfer, V. D.
- Venue
- Phi Delta Kappan
- Publisher
- SAGE Publications
- Published
- 2012-10
- Volume
- 94
- Issue
- 2
- Pages
- 8-13
- ISSN
- 0031-7217 (ISSN-L)
- 1940-6487
- OpenAlex
- W2072751739
- Cited by
- 640
- References
- 23
- Citations by year
- 2026: 30 · 2025: 49 · 2024: 56 · 2023: 61 · 2022: 68 · 2021: 84 · 2020: 80 · 2019: 67 · 2018: 43 · 2017: 32 · 2016: 22 · 2015: 25 · 2014: 15 · 2013: 8
- FWCI
- 41.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Phi Delta Kappan (publishedVersion)
- Topics
- Social Sciences › Education › Digital literacy in education
- Social Sciences › Education › Educational Methods and Analysis
- Social Sciences › Education › Education and Critical Thinking Development
- Keywords
- 21st century skills, 21st century teaching, critical thinking, problem solving, collaboration, communication skills, higher-order thinking skills, deep learning, citizen participation, entrepreneurship, creativity, teacher professional development, student engagement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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