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Computer Science Education : Perspectives on Teaching and Learning in School
Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline.It provides an international overview of key concepts, pedagogical approaches and assessment practices. Highlights of the second edition include:- New sections on machine learning and data-driven (epistemic) programming- A new focus on equity and inclusion in computer science education- Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education- A new set of chapters on the learning of programming, including design, pedagogy and misconceptions- A chapter on the way we use language in the computer science classroom. The book is structured to support the reader with chapter outlines, synopses and key points.Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice. The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition.
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Teaching, Tutoring and Training in the Lifelong Learning Sector
This core text provides comprehensive support for pre-service and in-service trainee teachers in the Lifelong Learning Sector covering all they need to know to achieve QTLS status. Supporting trainees through all stages of their professional development, the text takes the reader through the theoretical background underpinning teaching and learning and offers practical guidance on day-to-day challenges. This fourth edition has been fully revised and updated and includes a new chapter on teaching practice with notes on observation and lesson planning.New information on behaviour management has been added to support trainees in an aspect of teaching that many find challenging.
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Human Genes DNA Models Double Helix Science Toys Teaching Learning Education Toy
Human Genes DNA Models Double Helix Science Toys Teaching Learning Education Toy
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Teaching, Learning and Assessing Science 5 - 12
`Professor Harlen has, once again, provided the leading text on primary science.This eminently readable book sets out a clear account of our understanding of learning, teaching and assessment and, through the skilful use of examples, explores the implications of this for science teachers of pupils aged five to 12.By emphasizing the importance of research evidence and the way in which it should underpin practice, this new edition challenges everyone involved in science education to reflect again on whether we are providing the most appropriate learning opportunities for our pupils. It is certainly a book which will be highly recommended, referred to on many occasions and used extensively' - Dr Derek Bell, Chief Executive, The Association for Science EducationThis thoroughly revised and completely up-to-date new edition provides an excellent theoretical framework for teaching science that is firmly grounded in classroom practice and covers all stages of education for students aged five to 12 years. The author details a constructivist view of learning, which recognizes that children already have ideas about the world in which they live, and gives advice on how teachers can help children to develop their understanding and change their perception to a more scientific view.A particular feature is the focus on formative assessment as a framework for discussion on how to help students develop their understanding, enquiry skills and positive attitudes to scientific investigation. The wide range of topics covered include:The nature of students' learning in scienceThe goals of science educationGathering and interpreting information about students' 's ideasHelping development of scientific ideasGathering and interpreting evidence of students' enquiry skills and attitudesStrategies for helping development of students' qnquiry skills and attitudesThe learner's role in learningSummarising and reporting learningMotivating learningTeachers and children's questionsResources for learning science Managing science in the schoolEach chapter features useful summaries, points for reflection and further reading, making this acclaimed book indispensable reading for all primary and practitioners and students who want a book that will authoritatively inform, inspire and instruct their science teaching.
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Should I study mathematics and science education for primary school teaching?
Studying mathematics and science education for primary school teaching can be a valuable choice, as it will provide you with the knowledge and skills needed to effectively teach these subjects to young students. By specializing in these areas, you can help to foster a love for math and science in your students, and potentially inspire future scientists and mathematicians. Additionally, there is a growing demand for qualified teachers in these subjects, so pursuing this specialization could enhance your job prospects in the education field. However, it's important to consider your own interests and strengths, as well as the specific requirements for teaching in your region, before making a decision.
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Which computer science education makes sense?
Computer science education that is practical, hands-on, and relevant to real-world applications makes the most sense. This type of education should focus on teaching programming languages, problem-solving skills, and critical thinking, as well as providing opportunities for students to work on projects and collaborate with others. Additionally, a curriculum that is updated regularly to keep pace with advancements in technology and industry trends is essential for preparing students for successful careers in the field. Ultimately, a well-rounded computer science education that combines theoretical knowledge with practical skills is the most effective in preparing students for the demands of the industry.
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Which computer science education is meaningful?
Computer science education that is meaningful is one that goes beyond just teaching coding skills. It should focus on problem-solving, critical thinking, and creativity, as well as ethical considerations and real-world applications. Meaningful computer science education should also be inclusive and accessible to all students, regardless of their background or prior experience. Ultimately, a meaningful computer science education should empower students to use technology to make a positive impact on the world around them.
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How important is the subject of Theoretical Computer Science for Data Science and Machine Learning?
Theoretical Computer Science is highly important for Data Science and Machine Learning. It provides the foundational knowledge and understanding of algorithms, data structures, complexity theory, and computational models that are essential for developing and analyzing machine learning algorithms and data processing techniques. Theoretical Computer Science also helps in understanding the limitations and capabilities of different computational methods, which is crucial for making informed decisions in data analysis and machine learning model selection. Overall, a strong understanding of theoretical computer science concepts is essential for advancing the field of data science and machine learning.
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Powerful Teaching : Unleash the Science of Learning
Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms.In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings.This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding!Research demonstrates that these powerful strategies raise student achievement by a letter grade or more; boost learning for diverse students, grade levels, and subject areas; and enhance students’ higher order learning and transfer of knowledge beyond the classroom.Drawing on a fifteen-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K–12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition. With Powerful Teaching, you will: Develop a deep understanding of powerful teaching strategies based on the science of learningGain insight from real-world examples of how evidence-based strategies are being implemented in a variety of academic settingsThink critically about your current teaching practices from a research-based perspectiveDevelop tools to share the science of learning with students and parents, ensuring success inside and outside the classroom Powerful Teaching: Unleash the Science of Learning is an indispensable resource for educators who want to take their instruction to the next level.Equipped with scientific knowledge and evidence-based tools, turn your teaching into powerful teaching and unleash student learning in your classroom.
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Family DIY Electric Model Assemble Kit Teaching Learning STEM Project Science Education Aid Gift
Family DIY Electric Model Assemble Kit Teaching Learning STEM Project Science Education Aid Gift
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The Art of Teaching Primary School Science
The long-awaited second edition of The Art of Teaching Primary School Science has evolved to meet the demands of schools in our rapidly changing society.Recognising that children have an innate curiosity about the natural world means that teaching primary school science is both rewarding and critical to their futures.The focus of the chapters reflects the deep expertise in curriculum and pedagogy of the chapter authors.Included are chapters on the nature (wonder) of science and how children learn as well as the nuts and bolts of teaching: planning, pedagogy and assessment.In addressing the teacher education AITSL professional standards for teaching, there are chapters on digital pedagogies, differentiation and advanced pedagogies such as problem-based learning.Finally, there is a section on STEM education that explains how an integrated approach can be planned, taught and assessed. This book is both accessible to all preservice and practising teachers and up-to-date in providing the right mix of theoretical and practical knowledge expected of this generation of primary school teachers.Teacher educators worldwide will find this an essential resource.
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Robot Eating Coin Wood DIY Model Teaching Learning Stem Project for Kid Science Education Experiment
Robot Eating Coin Wood DIY Model Teaching Learning Stem Project for Kid Science Education Experiment
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What are the differences between studying computer science and training in computer science?
Studying computer science typically refers to pursuing a formal education in the field, such as earning a degree from a university or college. This involves taking courses, completing assignments, and gaining a theoretical understanding of computer science concepts. On the other hand, training in computer science often refers to acquiring practical skills and hands-on experience through workshops, bootcamps, or self-study. Training may focus on specific tools, programming languages, or technologies, and is often geared towards preparing individuals for specific roles in the industry. While studying provides a broader foundation of knowledge, training is more focused on practical application and skill development.
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Looking for tutoring for 1st semester computer science at TU Darmstadt.
I recommend reaching out to the computer science department at TU Darmstadt to inquire about tutoring options for 1st semester courses. They may have a list of recommended tutors or resources available for students seeking additional support. Additionally, you can also consider joining study groups or seeking help from upperclassmen who have already taken the courses. Online platforms such as Tutor.com or Chegg Tutors may also have tutors available for computer science subjects.
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How can I receive tutoring for natural science and technical principles?
You can receive tutoring for natural science and technical principles by reaching out to your school or university to see if they offer tutoring services. Many educational institutions have tutoring centers or programs where you can receive help in these subjects. Additionally, you can look for private tutors or tutoring companies that specialize in natural science and technical principles. Online platforms also offer virtual tutoring sessions with qualified tutors who can provide personalized assistance in these subjects.
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How can one combine a training in computer science with artificial intelligence and machine learning?
One can combine a training in computer science with artificial intelligence and machine learning by taking courses or pursuing a specialization in these areas during their computer science degree. This can involve studying topics such as algorithms, data structures, statistics, and programming languages, which are foundational for AI and machine learning. Additionally, participating in research projects, internships, or online courses focused on AI and machine learning can provide practical experience and deepen one's understanding of these fields. Networking with professionals in the AI and machine learning industry and staying updated on the latest advancements can also help in combining these areas effectively.
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