The Discovering Science through Inquiry series provides teachers and students of grades 3-8 with direction for hands-on science exploration around particular science topics and focuses. The series follows the 5E model (engage, explore, explain, elaborate, evaluate). The Forces and Motion kit provides a complete inquiry model to explore the laws of motion through supported investigation. Watch as students design a safe-landing parachute to observe how the forces of deceleration work on parachutes. Forces and Motion kit includes: 16 Inquiry Cards in print and digital formats; Teacher's Guide; Inquiry Handbook (Each kit includes a single copy; additional copies can be ordered); Digital resources include PDFs of activities and additional teacher resources, including images and assessment tools; leveled background pages for students; and video clips to support both students and teachers.

The Discovering Science through Inquiry series provides teachers and students of grades 3-8 with direction for hands-on science exploration around particular science topics and focuses. The series follows the 5E model (engage, explore, explain, elaborate, evaluate). The Earth Systems and Cycles kit provides a complete inquiry model to explore Earth's various systems and cycles through supported investigation. Guide students as they make cookies to examine how the rock cycle uses heat to form rocks. Earth Systems and Cycles kit includes: 16 Inquiry Cards in print and digital formats; Teacher's Guide; Inquiry Handbook (Each kit includes a single copy; additional copies can be ordered); Digital resources include PDFs of activities and additional teacher resources, including images and assessment tools; leveled background pages for students; and video clips to support both students and teachers.

The Discovering Science through Inquiry series provides teachers and students of grades 3-8 with direction for hands-on science exploration around particular science topics and focuses. The series follows the 5E model (engage, explore, explain, elaborate, evaluate). The Matter kit provides a complete inquiry model for the exploration of the structure and properties of matter through supported investigation. Encourage students through activities such as studying the chemical properties of matter and investigating whether household items are acids and bases. Matter kit includes: 16 Inquiry Cards in print and digital formats; Teacher's Guide; Inquiry Handbook (Each kit includes a single copy; additional copies can be ordered); Digital resources include PDFs of activities and additional teacher resources, including images and assessment tools; leveled background pages for students; and video clips to support both students and teachers.

These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa's invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committee for the Discovery Science c- ference series. The other members of this board are currently (in alphabetical order) Klaus P. Jantke, Masahiko Sato, Ayumi Shinohara, Carl H. Smith, and Thomas Zeugmann. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa's 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory (ALT, for short) is another conference series initiated by Setsuo Arikawa in Japan in 1990. In 1994, it amalgamated with the conference series on Analogical and Inductive Inference (AII), when ALT was held outside of Japan for the first time.

This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2015, held in banff, AB, Canada in October 2015. The 16 long and 12 short papers presendted together with 4 invited talks in this volume were carefully reviewed and selected from 44 submissions. The combination of recent advances in the development and analysis of methods for discovering scienti c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti c domains, on the one hand, with the algorithmic advances in machine learning theory, on the other hand, makes every instance of this joint event unique and attractive.

This book constitutes the refereed proceedings of the 6th International Conference on Discovery Science, DS 2003, held in Sapporo, Japan in October 2003. The 18 revised full papers and 29 revised short papers presented together with 3 invited papers and abstracts of 2 invited talks were carefully reviewed and selected from 80 submissions. The papers address all current issues in discovery science including substructure discovery, Web navigation patterns discovery, graph-based induction, time series data analysis, rough sets, genetic algorithms, clustering, genome analysis, chaining patterns, association rule mining, classification, content based filtering, bioinformatics, case-based reasoning, text mining, Web data analysis, and more.

This book constitutes the refereed proceedings of the First International Conference on Discovery Science, DS'98, held in Fukuoka, Japan, in December 1998. The volume presents 28 revised full papers selected from a total of 76 submissions. Also included are five invited contributions and 34 selected poster presentations. The ultimate goal of DS'98 and this volume is to establish discovery science as a new field of research and development. The papers presented relate discovery science to areas as formal logic, knowledge processing, machine learning, automated deduction, searching, neural networks, database management, information retrieval, intelligent network agents, visualization, knowledge discovery, data mining, information extraction, etc.