Decoding the Disciplines

Last updated

Decoding the Disciplines is a process intended to increase student learning by narrowing the gap between expert and novice thinking. The process seeks to make explicit the tacit knowledge of experts and to help students master the mental actions they need for success in particular courses.

Contents

Graphical representation of the Decoding the Disciplines process Decoding-wheel-open-English.jpg
Graphical representation of the Decoding the Disciplines process

History

The Decoding the Disciplines approach was initiated by Joan Middendorf and David Pace, directors of the Indiana University Freshman Learning Project from 1998 to 2010, for collegiate learning. [1] They found a discrepancy between the content taught and the actual prerequisites for success in many courses. They attributed this to automatic, and thus untaught, processes in expert knowledge. They hypothesized that students were often provided with incomplete conceptual frameworks, leaving them unable to tackle significant challenges.

Guiding questions in the Decoding process

The Decoding process is structured by seven questions, [2] [3] [4] referred to as steps. The order of the steps is not mandatory and can be changed as needed.

Question 1: Where do I experience a bottleneck to learning?

Instructors (Professors, Lecturers, etc.) identify an activity or task in their course that students are supposed to learn but often fail. The activity may be a mental activity.

Question 2: What do students have to be able to do to get past the bottleneck?

Instructors explore the steps that disciplinary experts go through to accomplish the activity or task identified as a bottleneck. This exploration is often carried out via a Decoding interview.

Question 3: How can I show students what they have to do?

Instructors may model how they accomplish these activities as an expert. In order to do so, instructors may

Question 4: How can I give my students practice and feedback?

Often instructors provide their students with tasks or learning activities that allow students to perform the activity identified as a bottleneck and receive feedback.

Question 5: How can I deal with emotional bottlenecks to learning?

Resistance to the Decoding the Disciplines process is viewed as an emotional bottleneck. Instructors are encouraged to anticipate such resistances.

Question 6: How can I know if my students have mastered these operations?

Instructors give assessments that provide information on the degree to which students can perform the activity identified as a bottleneck.

Question 7: How can I share this process with others?

Instructors may share their findings informally with colleagues or more formally through publications or presentations. As of 2023 instructors and researchers have published more than 500 articles on Decoding. [5]

Applications

The framework been explored by several researchers in a variety of disciplinary contexts including:

Related Research Articles

<span class="mw-page-title-main">Learning theory (education)</span> Theory that describes how students receive, process, and retain knowledge during learning

Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.

Science education is the teaching and learning of science to school children, college students, or adults within the general public. The field of science education includes work in science content, science process, some social science, and some teaching pedagogy. The standards for science education provide expectations for the development of understanding for students through the entire course of their K-12 education and beyond. The traditional subjects included in the standards are physical, life, earth, space, and human sciences.

<span class="mw-page-title-main">Problem-based learning</span> Learner centric pedagogy

Problem-based learning (PBL) is a teaching method in which students learn about a subject through the experience of solving an open-ended problem found in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development of other desirable skills and attributes. This includes knowledge acquisition, enhanced group collaboration and communication.

<span class="mw-page-title-main">Active learning</span> Educational technique

Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different levels of active learning, depending on student involvement." Bonwell & Eison (1991) states that "students participate [in active learning] when they are doing something besides passively listening." According to Hanson and Moser (2003) using active teaching techniques in the classroom can create better academic outcomes for students. Scheyvens, Griffin, Jocoy, Liu, & Bradford (2008) further noted that "by utilizing learning strategies that can include small-group work, role-play and simulations, data collection and analysis, active learning is purported to increase student interest and motivation and to build students ‘critical thinking, problem-solving and social skills". In a report from the Association for the Study of Higher Education, authors discuss a variety of methodologies for promoting active learning. They cite literature that indicates students must do more than just listen in order to learn. They must read, write, discuss, and be engaged in solving problems. This process relates to the three learning domains referred to as knowledge, skills and attitudes (KSA). This taxonomy of learning behaviors can be thought of as "the goals of the learning process." In particular, students must engage in such higher-order thinking tasks as analysis, synthesis, and evaluation.

<span class="mw-page-title-main">Constructivism (philosophy of education)</span> Philosophical viewpoint about the nature of knowledge; theory of knowledge

Constructivism in education is a theory that suggests that learners do not passively acquire knowledge through direct instruction. Instead, they construct their understanding through experiences and social interaction, integrating new information with their existing knowledge. This theory originates from Swiss developmental psychologist Jean Piaget's theory of cognitive development.

Principles and Standards for School Mathematics (PSSM) are guidelines produced by the National Council of Teachers of Mathematics (NCTM) in 2000, setting forth recommendations for mathematics educators. They form a national vision for preschool through twelfth grade mathematics education in the US and Canada. It is the primary model for standards-based mathematics.

Cognitive apprenticeship is a theory that emphasizes the importance of the process in which a master of a skill teaches that skill to an apprentice.

A lesson plan is a teacher's detailed description of the course of instruction or "learning trajectory" for a lesson. A daily lesson plan is developed by a teacher to guide class learning. Details will vary depending on the preference of the teacher, subject being covered, and the needs of the students. There may be requirements mandated by the school system regarding the plan. A lesson plan is the teacher's guide for running a particular lesson, and it includes the goal, how the goal will be reached and a way of measuring how well the goal was reached.

Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve transfer.

The scholarship of teaching and learning is often defined as systematic inquiry into student learning which advances the practice of teaching in higher education by making inquiry findings public. Building on this definition, Peter Felten identified 5 principles for good practice in SOTL: (1) inquiry focused on student learning, (2) grounded in context, (3) methodologically sound, (4) conducted in partnership with students, (5) appropriately public.

<span class="mw-page-title-main">Outline of thought</span> Overview of and topical guide to thought

The following outline is provided as an overview of and topical guide to thought (thinking):

Computational thinking (CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps and algorithms. In education, CT is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could also execute. It involves automation of processes, but also using computing to explore, analyze, and understand processes.

Writing across the curriculum (WAC) is a movement within contemporary composition studies that concerns itself with writing in classes beyond composition, literature, and other English courses. According to a comprehensive survey performed in 2006–2007, approximately half of American institutes of higher learning have something that can be identified as a WAC program. In 2010, Thaiss and Porter defined WAC as "a program or initiative used to 'assist teachers across disciplines in using student writing as an instructional tool in their teaching'". WAC, then, is a programmatic effort to introduce multiple instructional uses of writing beyond assessment. WAC has also been part of the student-centered pedagogies movement seeking to replace teaching via one-way transmission of knowledge from teacher to student with more interactive strategies that enable students to interact with and participate in creating knowledge in the classroom.

Threshold knowledge is a term in the study of higher education used to describe core concepts—or threshold concepts—which, once understood, transform perception of a given subject, phenomenon, or experience.

Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.

Teaching and learning centers are independent academic units within colleges and universities that exist to provide support services for faculty, to help teaching faculty to improve their teaching and professional development. Teaching centers also routinely provide professional development for graduate students as they prepare for future careers as teaching faculty. Some centers also may provide learning support services for students, and other services, depending on the individual institution. Teaching and learning centers may have different kinds of names, such as faculty development centers, teaching and learning centers, centers for teaching and learning, centers for teaching excellence, academic support centers, and others; a common abbreviation is TLC.

Just-in-time teaching is a pedagogical strategy that uses feedback between classroom activities and work that students do at home, in preparation for the classroom meeting. The goals are to increase learning during classroom time, to enhance student motivation, to encourage students to prepare for class, and to allow the instructor to fine-tune the classroom activities to best meet students' needs. This should not be confused with just-in-time learning, which itself focuses on immediate connections between learners and the content that is needed at that moment.

Modern elementary mathematics is the theory and practice of teaching elementary mathematics according to contemporary research and thinking about learning. This can include pedagogical ideas, mathematics education research frameworks, and curricular material.

Learning development describes work with students and staff to develop academic practices, with a main focus on students developing academic practices in higher education, which assess the progress of knowledge acquired by the means of structural approaches. Learning developers are academic professionals who: teach, advise and facilitate students to develop their academic practices; create academic development learning resources; and reflect on their own academic practices through a community of practice.

<span class="mw-page-title-main">Embodied design</span>

Embodied design grows from the idea of embodied cognition: that the actions of the body can play a role in the development of thought and ideas. Embodied design brings mathematics to life; studying the effects of the body on the mind, researchers learn how to design objects and activities for learning. Embodiment is an aspect of pattern recognition in all fields of human endeavor.

References

  1. Pace, D. (2021). Beyond Decoding the Disciplines 1.0: New directions for the paradigm. Teaching and Learning Inquiry, 9(2).
  2. Middendorf, J.; Pace, D. (2004): Decoding the disciplines: A model for helping students learn disciplinary ways of thinking. New directions for teaching and learning, 2004(98), 1 – 12.
  3. Middendorf, J.; Shopkow, L. (2018): Overcoming Student Learning Bottlenecks. Sterling: Stylus
  4. Pace, D. (2017): The Decoding the Disciplines Paradigm - Seven Steps to Increased Student Learning. Bloomington: Indiana University Press
  5. "Resources – Decoding the Disciplines".
  6. Durisen, Richard H. and Catherine A. Pilachowski (2014). “Decoding Astronomical Concepts,” in David Pace and Joan Middnedorf, Decoding the Disciplines: Helping Students Learn Disciplinary Ways of Thinking (New Directions in Teaching and Learning, Vol. 98 (Fall 2004) pp.33-43.
  7. Zolan, Miriam, Susan Strome, and Roger Innes (2004). Decoding Genetics and Molecular Biology. In Decoding the Disciplines: Helping Students Learn Disciplinary Ways of Thinking, (New Directions in Teaching and Learning, Vol. 98), 67-73, edited by David Pace and Joan Middendorf, 23-32.
  8. Rubin, M. Barry and Shankar Krishnan (2014). “Decoding Applied Data in Professional Schools,” in David Pace and Joan Middendorf, Decoding the Disciplines: Helping Students Learn Disciplinary Ways of Thinking (New Directions in Teaching and Learning, Vol. 98 (Fall 2004) pp.67-73.
  9. Zhu, C., Rehrey, G., Treadwell, B., & Johnson, C. C. (2012). Looking back to move ahead: How students learn deep geological time by predicting future environmental impacts. Journal of College Science Teaching, 41(3), 61−66.
  10. Shopkow, Leah, “How many sources do I need?" History Teacher, 50(2), 169–200.
  11. Pace, David (2011). “Assessment in History: The case for Decoding the Disciplines", Journal of the Scholarship of Teaching and Learning, 11(3), 107–119.
  12. Scott, Inara K. (2021). “Learning to Think like a Lawyer: Developing a Metacognitive Model for Legal Reasoning” College Teaching, 69.
  13. Schultz, Kyle T., and LouAnn Lovin (2012). “Examining Mathematics Teachers’ Disciplinary Thinking.” The Mathematics Educator 21 (2): 2–10.
  14. Priss, Uta (2018). “A semiotic-conceptual analysis of conceptual development in learning mathematics.” Signs of Signification. Springer: Cham, 173-188.
  15. Burkholder, J. P. (2011). “Decoding the Discipline of Music History for Our Students,” Journal of Music History Pedagogy, 1(2), 93–111.
  16. Bihun, Joan (2018). “An Exercise to Assess Student Understanding of Bottleneck Concepts in Research Methods″, Social Psychology 77, 1121-1134.