LEADER 05198nam 22006255 450 001 9910416083203321 005 20251113203546.0 010 $a3-030-39360-7 024 7 $a10.1007/978-3-030-39360-1 035 $a(CKB)4100000011372957 035 $a(DE-He213)978-3-030-39360-1 035 $a(MiAaPQ)EBC6282300 035 $a(Au-PeEL)EBL6282300 035 $a(OCoLC)1183833410 035 $a(PPN)250216477 035 $a(MiAaPQ)EBC30766832 035 $a(Au-PeEL)EBL30766832 035 $a(EXLCZ)994100000011372957 100 $a20200805d2020 u| 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGuide to Teaching Computer Science $eAn Activity-Based Approach /$fby Orit Hazzan, Noa Ragonis, Tami Lapidot 205 $a3rd ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xx, 407 pages) $cillustrations 311 1 $a3-030-39359-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction?What Is this Guide About? -- Active Learning and the Active-Learning-Based Teaching Model -- Overview of the Discipline of Computer Science -- Computational Thinking -- Computer Science Soft Concepts and Soft Skills -- Data Science and Computer Science Education -- Research in Computer Science Education -- Problem-Solving Strategies -- Learners? Alternative Conceptions -- Teaching Methods in Computer Science Education -- Lab-Based Teaching -- Types of Questions in Computer Science Education -- Assessment -- Teaching Planning -- Design of Methods of Teaching Computer Science Courses -- Getting Experience in Computer Science Education -- High School Computer Science Teacher Preparation Programs -- Epilogue. 330 $aThis concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization. Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators. Topics and features: Includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter Discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW) Focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies Examines how to recognize and address learners? misconceptions, and the different types of questions teachers can use to vary their teaching methods Provides coverage of assessment, teaching planning, and designing a MTCS course Reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well as to instructors of computer science teacher preparation programs. Dr. Orit Hazzan is Professor at the Department of Education in Science and Technology at Technion ? Israel Institute of Technology. Dr. Noa Ragonis is Head of the M.Teach. program for Secondary Education and the M.Ed. program in Integrative STEM Education at Beit Berl College, Israel. She is a computer science senior lecturer, and an adjunct senior lecturer at the Department of Education in Science and Technology, Technion. Dr. Tami Lapidot is Executive Manager of Machshava ? the Israeli National Center for Computer Science Teachers. 606 $aEducation$xData processing 606 $aTeachers$xTraining of 606 $aScience$xStudy and teaching 606 $aComputers and Education 606 $aTeaching and Teacher Education 606 $aScience Education 615 0$aEducation$xData processing. 615 0$aTeachers$xTraining of. 615 0$aScience$xStudy and teaching. 615 14$aComputers and Education. 615 24$aTeaching and Teacher Education. 615 24$aScience Education. 676 $a371.3 700 $aHazzan$b Orit$f1962-$01379565 702 $aRagonis$b Noa 702 $aLapidot$b Tami 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416083203321 996 $aGuide to Teaching Computer Science$94464562 997 $aUNINA