ArticleslgStudy

astronomy

Wolff-Michael Roth

Wolff-Michael Roth is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Wolff-Michael Roth rather than just read about it. In short: Wolff-Michael Roth (born June 28, 1953, Heidelberg) is a learning scientist at the University of Victoria (emeritus) conducting research on how people across the life span know and learn mathematics and science. He has contributed to numerous fields of research: learning science in learning communities, coteaching, authentic school science education, cultural-historical activity theory, social studies of science, ge…

Key takeaways

  • Wolff-Michael Roth belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Wolff-Michael Roth to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Wolff-Michael Roth from memory before moving on to harder problems.

Reference excerpt

Wolff-Michael Roth (born June 28, 1953, Heidelberg) is a learning scientist at the University of Victoria (emeritus) conducting research on how people across the life span know and learn mathematics and science. He has contributed to numerous fields of research: learning science in learning communities, coteaching, authentic school science education, cultural-historical activity theory, social studies of science, gesture studies, qualitative research methods, embodied cognition, situated cognition, and the role of language in learning science and mathematics.

Career Roth received a master's degree of physics from the University of Würzburg and completed a doctorate in the College of Science and Technology at the University of Southern Mississippi (Hattiesburg, Mississippi) with concentrations in cognition, statistics, and physical chemistry. He began to establish himself as a researcher while teaching at Appleby College (Oakville, Ontario). There, he did the research for what became one of the first research articles on the social construction of knowledge in science classrooms: "The social construction of scientific concepts or The concept map as conscription device and tool for social thinking in high school science." There he also conducted the work that would lead to Authentic School Science, in which he provides evidence for how high school students learn science when provided with opportunities to frame their own research questions, which they then answer by designing and conducting experiments. They write up their results, which they have to be able to defend within their learning community. In 1992, he joined Simon Fraser University (Burnaby, British Columbia), where he was mainly responsible for teaching statistics in the Faculty of Education. In his research, he initially focused on learning in science classrooms, but soon expanded his work to learning mathematics and science among future teachers, research scientists, and designers of computer software. In 1997, he was appointed Lansdowne Professor of Applied Cognitive Science at the University of Victoria. There he further expanded his research on the learning of mathematics and science, for example, on the use of graphs in scientific research and in technical professions.

Main Contributions Although he worked within a neo-Piagetian (information processing oriented) paradigm during his doctoral research, using statistical methods, his subsequent work was initially based in school science classrooms and later extended to mathematics and science in fish hatcheries, environmental activism, field ecology, scientific laboratories, dental practice, water technicians, construction sites, and in local communities.

Graphing as Social Practice Psychologist tend to theorize graphing, as all other forms of representing activity, as a faculty of the mind. Based on his ethnographic studies of mathematics among scientists, Roth proposes to view graphing as a social practice that humans learn in relation with others; the relation is what we subsequently attribute to the mind. Because graphing is a social fact, it can be studied using anthropological methods, which is precisely what Roth proposes in Towards an Anthropology of Graphing and in a comprehensive review of the literature.

Gesture Studies Gestures constitute an integral aspect of knowing and learning. Arising from his studies of learning in high school science laboratories and hands-on elementary school activities, Roth showed how students' scientific knowledge arises from what initially are simply manipulative movements and hand movements to explore and learn about the natural world. These movements later become symbolic movements, that is, gestures, which encode the earliest forms of knowing that can be observed prior to verbal forms. In the main review journal of educational research he published a summary of the work in psychology, anthropology, and linguistics.

Coteaching Whereas in many professions, practitioner learn while working with others, teachers have to figure out much of their knowledge on their own. Using it initially as a form of staff development, Roth, subsequently working with Ken Tobin, developed coteaching as a form learning to teach while teaching. Together they published At the Elbow of Another, in which they lay out the foundation of this approach. In this model, supervision and evaluation of teaching and research on teaching have to be conducted by teaching together with the resident teachers.

Cultural-Historical Activity Theory Roth has contributed to this field especially by theorizing school-related processes in terms of a version of this theory that was popularized in the Center for Activity Theory and Developmental Work Research. He proposed a fourth generation of this theory, which takes into account emotion. Together with Yew Jin Lee, he wrote a review of the literature on this "neglected legacy" of the work of Lev S. Vygotsky.

Knowing in the Flesh Most recently, Roth has been working on questions of embodied cognition, which is in fact a misnomer, for all cognition inherently is embodied. Following the French philosophers Maine de Biran and Michel Henry he conceives of the emergence of signification from the auto-affection of the flesh. All perception, all knowing, all communication therefore arises from forms of movement. In a number of publications, he develops this way of understanding knowing with data from geometry in second-grade classrooms.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Wolff-Michael Roth

Start with the simplest possible case. Write down what Wolff-Michael Roth claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Wolff-Michael Roth before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Wolff-Michael Roth ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Wolff-Michael Roth

In research
Wolff-Michael Roth appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Wolff-Michael Roth in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Wolff-Michael Roth is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1953 births, Academic staff of the University of Victoria, Educational researchers, so understanding it makes those chapters shorter.
In everyday life
Look for Wolff-Michael Roth outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Wolff-Michael Roth” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Wolff-Michael Roth in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Wolff-Michael Roth means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Wolff-Michael Roth out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Wolff-Michael Roth in simple terms?

Wolff-Michael Roth (born June 28, 1953, Heidelberg) is a learning scientist at the University of Victoria (emeritus) conducting research on how people across the life span know and learn mathematics and science. He has contributed to numerous fields of research: learning science in learning communi…

Why does Wolff-Michael Roth matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Wolff-Michael Roth?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Wolff-Michael Roth.

Tags

  • 1953 births
  • Academic staff of the University of Victoria
  • Educational researchers
  • Fellows of the American Association for the Advancement of Science
  • German cognitive scientists
  • Living people

Keep exploring