Listing 1 - 2 of 2 |
Sort by
|
Choose an application
Cumulative research within a number of traditions has shown that effective teaching calls for distinctive, identifiable forms of subject-related knowledge and thinking, yet the significance and complexity of such knowledge is not well represented in professional debate and policymaking. This is a particularly pressing issue within mathematics education, given world-wide aspirations to improve quality of teaching and learning in the face of widespread difficulties in recruiting teachers who are conventionally well-qualified in mathematics and confident in the subject. This book, the outcome of two years of collaborative effort, brings together a team of experts in the field of mathematics teacher knowledge to produce an authoritative, state of the art' exposition and critical commentary on this important and topical domain, including reports of original research in the field. It offers constructive and helpful ways of conceptualising mathematics teacher knowledge in its cultural context, as well as a range of theorised tools to support its improvement.
Didactics of mathematics --- didactiek --- wiskunde --- Effective teaching --- Mathematical ability --- Mathematics teachers --- Mathematics --- Math --- Science --- Arithmetical ability --- Number ability --- Ability --- Instructional effectiveness --- Teaching effectiveness --- Teaching quality --- Teaching --- Teacher effectiveness --- Training of --- Study and teaching&delete& --- Research --- Teacher training --- Study and teaching
Choose an application
The digital revolution is here. It's changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset. But what does that mean? Some fear it means that in the near future we will all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next. This book introduces three approaches-Collaboration, Computation, and Change-that you need for a digital mindset and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you can ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent to prepare their company for successful and continued digital transformation. Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how, and let you in on a surprising and welcome secret: developing a digital mindset isn't as hard as we think. Most people can become digitally savvy if they follow the "30% rule"-the minimum threshold that gives us just enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world.
Technological innovations. --- Computer literacy. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Digital literacy --- Literacy, Computer --- Technological literacy --- Breakthroughs, Technological --- Innovations, Industrial --- Innovations, Technological --- Technical innovations --- Technological breakthroughs --- Technological change --- Creative ability in technology --- Inventions --- Domestication of technology --- Innovation relay centers --- Research, Industrial --- Technology transfer --- Numeracy. --- Mathematical ability --- Mathematics --- Statistics --- Technological innovations --- Computer literacy --- Numeracy --- Success in business --- Artificial intelligence --- Success in business. --- Computer Literacy --- Artificial Intelligence --- #KVHA:Algemeen wetenschap en cultuur --- #KVHA:Artificiele intelligentie --- #KVHA:Technologie --- #KVHA:Digitale geletterdheid --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Computer Literacies --- Literacies, Computer --- Information Literacy --- Business --- Business failures --- Creative ability in business --- Prediction of occupational success --- digitalisering --- algoritmer --- AI --- kunstig intelligens --- Artificiële intelligentie --- IT-toepassingen --- Innovatie ; ondernemingen
Listing 1 - 2 of 2 |
Sort by
|