03696nam 2200637 450 991081253110332120230617013015.01-4833-6104-71-4833-6321-X(CKB)3710000000456209(EBL)1656853(OCoLC)923707551(SSID)ssj0001559065(PQKBManifestationID)16185504(PQKBTitleCode)TC0001559065(PQKBWorkID)14569353(PQKB)11031302(MiAaPQ)EBC1656853(EXLCZ)99371000000045620920150824h20042004 uy 0engur|n|---|||||txtccrData! Dialogue! Decisions! the data difference /Brian Pete and Catherine M. SamboThousand Oaks, California :Corwin,2004.©20041 online resource (121 p.)In A NutshellDescription based upon print version of record.0-9717332-9-5 Includes bibliographical references.""Cover""; ""Contents""; ""Preface""; ""Introduction""; ""Whatâ€?s it all about?""; ""Whatâ€?s the History of Results-Driven Change?""; ""How to Use This Book""; ""Chapter 1 - The Data! Dialogue! Decisions! Process""; ""Schmokerâ€?s Model of Results-Driven Change ""; ""Introduction to the Data! Dialogue! Decisions! Process""; ""Chapter 2 - Data!""; ""A Sign of the Times""; ""What Kinds of Data Exist? ""; ""What Kinds of Data are Available?""; ""How are Data Collected?""; ""How are Data Used?""; ""Chapter 3 - Dialogue!""; ""Teaming to Ask and Answer the Questions""""The Four Questions in Brief""""The Four Questions in Full""; ""Action Plan""; ""Conclusion""; ""The Coachesâ€? Meeting Revisited""; ""Chapter 4 - Decisions!""; ""SMART Goals""; ""Instructional Decisions""; ""Data! Issues ""; ""Chapter 5 - Troubleshooting""; ""Dialogue! Issues ""; ""Decisions! Issues ""; ""General Issues ""; ""Professional Development Issues""; ""Appendix A: Data! Dialogue! Decisions! General Format""; ""Appendix B: State Standards in Reading Example ""; ""Appendix C: A Tale of Two City Schools: Making the Difference with Data""; ""Appendix D: People Search""""Bibliography"" Link relevant data to results instantly and consistently! This powerful text offers school leaders a process for data-based decision making that includes the critical elements of school improvement: collaborative teams, meaningful data, and measurable results. Administrators and instructors select the data, dialogue about the findings, and then make informed decisions about improving student performance. Educators will learn to: Select data that is easily accessible, collectible on an ongoing basis, and capable of impacting student achievementUse the three-step cyclical model of data analysiIn a nutshell (Thousand Oaks, Calif.)School improvement programsAcademic achievementDecision makingSchool management and organizationDecision makingEducational statisticsSchool improvement programs.Academic achievementDecision making.School management and organizationDecision making.Educational statistics.371.2Pete Brian M.855250Sambo Catherine A.MiAaPQMiAaPQMiAaPQBOOK9910812531103321Data! Dialogue! Decisions4030976UNINA04605nam 22008893a 450 991067079630332120250203235431.09783039214365303921436510.3390/books978-3-03921-436-5(CKB)4100000010106235(oapen)https://directory.doabooks.org/handle/20.500.12854/62263(ScCtBLL)756a3c15-306d-43de-a7cb-57ac3691829b(OCoLC)1163816571(oapen)doab62263(EXLCZ)99410000001010623520250203i20192019 uu engurmn|---annantxtrdacontentcrdamediacrrdacarrierVisible Light Communication and PositioningChen GongMDPI - Multidisciplinary Digital Publishing Institute2019Basel, Switzerland :MDPI,2019.1 electronic resource (144 p.)9783039214358 3039214357 In recent years, wireless communications have significantly evolved due to the advanced technology of smartphones;, portable devices; and the rapid growth of Internet of Things, e-Health, and intelligent transportation systems . Moreover, there is anare increasing need fors of emerging intelligent services like positioning and sensing in athe future intelligence society. Recent years have witnessed the growing research interests and activities in the communication and intelligencet services in the optical wireless spectrum, as a complementary technology to more established radio frequency (RF)-based systems, to overcome the spectrum sparsity and increases data rates in crowded locations, due to the limited transmission range and interference. The OWC technology offers advantages such as free license, wide bandwidth, inherent security, no RF electromagnetic interference, and immunity to electromagnetic interference. The attractive applications of the optical spectrum include ultra-violet tactic communication, blue/green underwater communication, visible light positioning, and vehicular communication/sensing in intelligent transportation systems. The present Iissue, as named "Visible Light Communication and Positioning", focuses on visible light communication and visible light positioning, where four papers are on visible light communication and three papers are on visible light positioning. For visible light communication, the published works focus on the devices, the physical-layer techniques, and the system work aspects. Besides VLC, visible light positioning works include fingerprint-based indoor positioning system for multiple reflections, the impact of LED tilt on visible light positioning accuracy, and a mobile optoelectronic tracking system based on feedforward control.sofware defined optics (SDO)light to frequency converterwhite-light LEDerror observernature conditions (thermal turbulencecolor independencefeedforward controlvisible light communicationadaptive power allocation schemerandom forest (RF)localization algorithmgeneralized color modulationwearable devicepositioningtracking performancesoftware defined radio (SDR)VLPmultistate quadrature amplitude modulation (M-QAM)fog)rainvisible light communication (VLC)LED tail-lightoptical wireless communicationLED indoor ceiling lightmultipath reflectionsk-nearest neighbors (kNN)bit-error ratio (BER)anti-disturbance abilityvehicle-to-everything (V2X)mobile optoelectronic tracking systemdisturbance observermodel referenceindoor positioning system (IPS)fitting modelVisible Light PositioningLED tiltinverse power allocation schemenon-orthogonal multiple accessV2Xvisual MIMOcolor-space-based modulationGong Chen1333805ScCtBLLScCtBLLBOOK9910670796303321Visible Light Communication and Positioning3043876UNINA