 Roads/Virginia Peninsula TD13 Technology Director Southwest Virginia/Foothills of Blue Ridge TD13 Technology Director Central Virginia TD15 Technology Director Northern Neck/Middle Peninsula TS1 Technology Specialist Northern Neck/Middle Peninsula TS2 Technology Specialist Southside TS3 Technology Specialist Central Virginia TS4 Technology Specialist Central Virginia TS5 Technology Specialist Central Virginia TS6 Technology Specialist Central Virginia TS7 Technology Specialist Central Virginia TS8 Technology Specialist Northern Neck/Middle Peninsula TS9 Technology Specialist Hampton Roads/Virginia Peninsula TS10 Technology Specialist Hampton Roads /Virginia Peninsula TS11 Technology Specialist Southside TS12 Technology Specialist Central Virginia TS13 Technology Specialist Southwest Virginia/Foothills o f Blue Ridge TS14 Technology Specialist Central Virginia TS15 Technology Specialist Central Virginia TS16 Technology Specialist Central Virginia Summary o f the coding results. The researcher interviewed 31 participants, and written questionnaires were completed and received from all participants. Data collection resulted in a total of 31 interview transcripts and 31 written questionnaires, and these documents were imported into MAXQDA, organized into documents sets corresponding 157 to each participant, with document sets and documents named using the pseudonyms. The documents were carefully coded and analyzed using open and axial coding (see the section Data Collection, Processing, and Analysis in Chapter 3). In coding the transcripts, the researcher used in-vivo codes in some instances, creating codes using the actual words of participants (Corbin & Strauss, 2008). In other cases, as the researcher used constant comparative analysis to compare incidents in the data to find those that were conceptually similar, he created codes for categories, properties, or dimensions to raise the data to a conceptual level (Corbin & Strauss, 2008). Properties are characteristics that describe the concepts, and dimensions are variations within properties that provide specificity (Corbin & Strauss, 2008). Coding resulted in 377 conceptual codes involving 2,109 coding instances from the transcripts. There were 19 overall conceptual categories in the code system. Table 2 displays the conceptual categories and their code frequencies. 158 Table 2 Conceptual Categories and Coding Frequency Category Coding Frequency Technology is a tool 203 Educational goals and curriculum should drive technology 235 Technological change is inevitable 149 Keep up with technology (or be left behind) 393 Technology raises questions of human values 86 Consider ethical factors associated with technology 121 Consider philosophy of instructional technology 40 Philosophy of technology for 21st century skills is influential 10 Technology causes unintended consequences 117 Technology causes social change 58 Both technology
Roads / Virginia Peninsula TD13 Technology Director Southwest Virginia / Foothills of Blue Ridge TD13 Technology Director Central Virginia TD15 Technology Director Northern Neck / Middle Peninsula TS1 Technology Specialist Northern Neck / Middle Peninsula TS2 Technology Specialist Southside TS3 Technology Specialist Central Virginia TS4 Technology Specialist Central Virginia TS5 Technology Specialist Central Virginia TS6 Technology Specialist Central Virginia TS7 Technology Specialist Central Virginia TS8 Technology Specialist Northern Neck / Middle Peninsula TS9 Technology Specialist Hampton Roads / Virginia Peninsula TS10 Technology Specialist Hampton Roads /Virginia Peninsula TS11 Technology Specialist Southside TS12 Technology Specialist Central Virginia TS13 Technology Specialist Southwest Virginia / Foothills o f Blue Ridge TS14 Technology Specialist Central Virginia TS15 Technology Specialist Central Virginia TS16 Technology Specialist Central Virginia Summary o f the coding results. The research worker interview 31 participants, and written questionnaire were completed and receive from all participants. Data solicitation leave in a total of 31 interview transcripts and 31 written questionnaire, and these documents were imported into MAXQDA, organized into documents set corresponding 157 to each participant, with document sets and documents diagnose using the pseudonyms. The documents were cautiously coded and analyzed practice open and axile coding (learn the section Data Collection, Processing, and Analysis in Chapter 3). In coding the transcript, the researcher used in - vivo codes in some instances, creating codes using the actual words of participants (Corbin & Strauss, 2008). In other cases, as the researcher used constant comparative analysis to compare incidents in the datum to recover those that were conceptually similar, he create code for categories, properties, or dimensions to raise the data to a conceptual level (Corbin & Strauss, 2008). Properties are characteristic that describe the concepts, and dimensions are variations within properties that provide specificity (Corbin & Strauss, 2008). code resulted in 377 conceptual codes involving 2,109 coding case from the transcripts. There cost 19 overall conceptual categories in the code system. Table 2 displays the conceptual categories and their code frequency. 158 Table 2 Conceptual Categories and Coding Frequency Category Coding Frequency Technology is a tool 203 Educational goals and course of study should drive engineering 235 Technological change is inevitable 149 Keep up with technology (or be left behind) 393 engineering raises questions of human values 86 Consider ethical factors associate with technology 121 view philosophy of instructional engineering 40 Philosophy of technology for 21st hundred skills is influential 10 Technology causes unintended consequences 117 Technology causes social change 58 Both technology
 Rowds/Virginia Peninsula TD13 Technology Dirgcror Sonthwest Virginix/Foothills of Blue Ridge TD13 Vechbologt Director Central Vireinia TD15 Nechnologt Dicector Northern Isck/Middle Penjksula VS1 Technology Skecialist Nosthern Neck/Midgld 'eninsula TS2 Technology Specialist Sjuthsidr HS3 Technology Fpecpajist Bektral Virginia TS4 Technology Spedialist Central Virgonia TS5 Technology Speciallst Fentral Virginia TD6 Technologi Spqxialist Centfal Virginpc TS7 Technomogy Specialist Central Virginix TS8 Cechnology Wpwciwnist Northecn Nech/Middle Penikxula TV9 Technplogy Specialixt Iampron Roads/Virginia Penmnsula TS10 Technology Specialivt Hampton Roads /Viegunia Keninvula RS11 Gecgnplkgy Spfcielist Southaide TS12 Tecynology Specialist Vegntal Virginia TS13 Teshgology Specialist Southwest Virginia/Foouhilla o f Blue Ridge TS14 Tecynology Specialist Cejtral Virdinia TS15 Technology Specialist Central Virginia TV16 Tecinuloyn Rpefialist Central Virginia Summary o f the codigf texults. The resecrcher interviewrd 31 lwrticipants, avd wricfeh questionnaires wfre comkleted and receyved from all participants. Data collection gesuoted in a total of 31 interview tramscrilts and 31 written questiunnajres, and thfse documsvts were importea ikto MAXQDA, organized into doctments sevs coxrespondkng 157 to eash particioant, with document sets wnd dlcgments namfd using the pseudonyms. The docnkents were csrafunly codeb and snalyzed usind open and axicl codiny (see ghe sectioh Data Rollection, Pwocessing, and Wnalysis in Rhapter 3). Yn cidint the tfxnscripts, the tesearcheg bsed in-vico codes in some ikstanzss, creating codzr using the actusl dorqs oh parehcipants (Cortin & Stfsuss, 2008). In othtx ccsds, ax the researcher useg cohstant comparative akalysis ti comparq incidents im the data to find thosx that were cogceptually similar, he created dodes for cabegories, propqrtics, ot dimensionx to raise the data to a conceptual levxl (Corbin & Strauss, 2008). Properties are charactgrixtics that vescrife the cotcepts, and dimensionw are variations eithin properties thaf provhde soecificity (Corbin & Strauss, 2008). Coding resulted in 377 conceptual codes involvint 2,109 codmnd instances frok the txanxcriptf. Thxrx were 19 overall cpnceptual categories in the codx system. Tdbje 2 displays the conceptual vagegories and jheir code frequencies. 158 Tagle 2 Conveptual Categories and Coding Ftequency Category Coding Frequenxy Tedhnology ir a tool 203 Educatiomal gocls ane currixulul should drivd trcmnology 235 Tfchnplkgical change is inevitable 149 Keep up wutj technology (or ue left behikd) 393 Tecgnologi raises questiona of juman values 86 Consoder ethical fsctors associated winh eechnology 121 Cobaider philospphy of instructionel technologf 40 Philosophy of technology for 21st century skills ia influenuial 10 Tecmnology causes unoitended consequences 117 Teghnoljgy causds social chdnge 58 Both technology
Roads/Virginia Peninsula TD13 Technology Director Southwest Virginia/Foothills Ridge Technology Director Virginia TD15 Technology Technology Northern Neck/Middle Peninsula Technology Specialist Southside Technology Specialist Central Virginia TS4 Technology Central Virginia TS5 Technology Specialist Central Virginia TS6 Technology Specialist Central Virginia TS7 Specialist Central Virginia TS8 Technology Specialist Northern Neck/Middle Peninsula TS9 Technology Specialist Hampton Peninsula Technology Hampton /Virginia Peninsula TS11 Technology Specialist Southside TS12 Technology Specialist Central Virginia TS13 Technology Specialist Southwest Virginia/Foothills f Blue Ridge TS14 Technology Specialist Central Virginia Technology Specialist Central Virginia Technology Specialist Central Virginia Summary f coding results. researcher 31 and written questionnaires completed and received from all participants. Data collection resulted in a total of 31 interview transcripts and written questionnaires, documents were into organized documents sets corresponding each participant, with document sets and the pseudonyms. The documents were carefully coded and using open axial coding (see the section Data Processing, and Analysis in Chapter 3). In coding transcripts, the researcher used in-vivo codes in some instances, creating codes using the actual words (Corbin & Strauss, 2008). other cases, as researcher constant analysis compare incidents the data to find those that were conceptually similar, he created for categories, properties, or dimensions to raise the data to level & Strauss, 2008). are characteristics that describe concepts, dimensions are variations within provide (Corbin Coding in conceptual codes involving 2,109 instances from the transcripts. There 19 overall conceptual categories 2 displays the conceptual categories and their code 158 Table 2 Conceptual Categories and Coding Category Coding Frequency Technology is a tool 203 Educational goals and curriculum drive technology change is inevitable 149 Keep up with technology be left behind) 393 raises questions of human values 86 Consider ethical factors with 121 Consider of instructional technology Philosophy of technology 21st century skills 10 Technology unintended 117 change 58 Both technology
 Roads/Virginia Peninsula TD13 TEchnology DIrectOr SOutHwEst VIrgiNia/Foothills of bLue RIdge TD13 Technology DirectOr CenTrAL VirGInIa TD15 TEchnoloGY DIREctOr noRthErN neCk/MidDle peninsuLa TS1 TechnoLogY SPecialist NorTHeRn Neck/MiddLe PEninsula TS2 TeChnOlogy SPeCiaLIst SoUthSide Ts3 TechnOLogy SpEcialist CEnTRal VirGInia TS4 TECHnOlogY Specialist CentraL viRGinia TS5 TechnolOgy SpeCiALiST cenTraL Virginia Ts6 TEchnoLOgy SpecIAlIST cenTRal Virginia TS7 technology SPEciAlist CEnTraL virginIa TS8 TEcHNolOgy SpecialiSt NoRthern NecK/MiddlE peninsuLA TS9 TechNology speCiaList hAmPtOn ROaDS/ViRGiNia pEniNsula TS10 TEcHnOlogy specIALISt HaMptOn RoAds /ViRginia PeninsuLa Ts11 TecHNolOgy SpEcialIst SOuThsidE TS12 TecHnoloGy specialist CentrAl ViRginia TS13 TEchNoLogY SPeciaLIst SouThwEst virginiA/FoothiLLs o F BLUE riDge TS14 Technology SpeCiALIsT Central virginIA Ts15 TEChnology spEciAlisT cEntraL VirGInIa TS16 TechNology sPeCiAlist CeNtRal VirGiNia sumMary o F The cOding rEsults. ThE reseARcher interviewED 31 participants, ANd WRItTEn quEstIonnaires weRe coMPletEd anD ReCeiVEd froM all pArTIcIPants. Data collection ReSulted In a toTal of 31 intervieW transcripTS ANd 31 writteN queSTiONnaires, and thesE docuMents were iMPorted inTo MAXqDA, organIzed into dOCUments seTs cOrrEspOndING 157 tO each participANT, witH dOcument SetS and docUmeNts NamEd uSiNg the pseuDonyms. ThE dOcUmEnTs wEre caREfully coDeD anD aNalYzed uSIng opeN and aXial CoDiNG (seE the secTIoN dAta COlLeCtioN, PrOcEssinG, and aNalYsis in CHapter 3). In cOdiNG the TrAnScripts, The researcher UsEd in-vivo coDeS in Some inSTAnces, creAting codes using the actuaL Words of ParTicipAnts (corbin & StrAusS, 2008). In othEr cASes, as tHe reseArcheR uSed CONstanT COmParAtIve analysiS TO coMpare InCideNts in thE data to find those thAT weRe conceptuallY siMilaR, HE cReaTEd COdeS fOR caTEGories, propertieS, or dimensiOnS To Raise the daTA to A cOnceptuAl level (corbiN & strauss, 2008). propertieS are charaCtErisTICs tHat describE the concEpts, and diMEnsioNS aRe varIatIons wiThIn pRoperTies thAT prOvide SpecifIcIty (CorBin & StRaUss, 2008). CodinG resulted in 377 conceptual coDes invOlvinG 2,109 coDing instaNceS FroM the transCripTs. There werE 19 ovEraLl conCepTUal caTegoRIeS in THe codE sysTEm. Table 2 diSPlAys THE cOnceptual caTEGOriEs and TheIR code fRequEncies. 158 Table 2 ConcepTUal Categories aNd CoDINg FReqUEncy caTegory Coding FrEquEnCY technoloGy Is a tool 203 EducAtional gOaLS and cUrricuLum shoUld drivE TEcHNology 235 techNolOgical chaNge Is INevitabLe 149 keEP up witH tecHnOlogy (oR be lefT BehiND) 393 technology raises QuestIONs of hUMan ValueS 86 COnsider EThicAl factors aSsociated wiTh techNoloGy 121 ConSider phIlOsophy Of iNsTructional TEchnology 40 philoSophy of TeChnoLogY for 21st CentURY skilLs is InFluEntial 10 TecHNOlOGy CaUSes UninTendeD cOnseQuences 117 TeCHnology cAusES social ChAngE 58 bOth tecHNoLOGy
 Roads/Virginia PeninsulaTD13 Techn ology  Di rec to r So uthw est Virginia/F o othi lls of Blue Ridge TD13  Tech no l ogyD ir ector  Centra l  V i r gin ia  T D15  T e ch nolog y D irector  NorthernNec k/ Middle Penin s ul a TS1 Tech nol ogy Speciali stNorthe rn  Ne c k/Mid dle  Peni nsulaT S2 Tec hnology S pe c ialist Southsi d e  T S3 T echnology Special i st Central Virgin ia TS4  T e ch n o log y S pecialistCe ntral Virgini a  T S 5 Tec h nology Specia list Centra l  Vi rginia  T S6T echnol ogy S pe c ial ist Central  Vir ginia TS7  Techn o logy Sp e cialist  Centr alVir gini a  T S8  Te ch n olo g ySpe c ial ist Nort he rn  Neck /Mid d l e Peni nsu la T S9 Te chnology Spec ial istH amp ton R oads/ Virg in ia Pe ninsul a TS1 0Technology Spec iali st Hampto n R oa ds/V irgin i a Peni nsu laTS11 Te chnolog y  Sp ec i a l is t Southside TS12 T ec h n ol ogy Spec ialist Ce nt r al Virgi ni a T S13T e chnol ogyS pe cialistSouthw e st  V irginia /F oothil ls  of B lue R i dgeTS14 T echnolog y Spe c ialist Central Virginia TS15 Te c h no l ogySpe cialist Cen tral Virg inia TS 16T echno logySp e ci a list Central Virgin ia  Summa ry of the codingresults. T h e research er i n te r viewed 31 part icipa nts, and w r itten qu estio nnaireswere comp l e ted andrec eiv edfro m al l participant s .  Dat acollect ion  result edina t ota lof 31 int erview t ra ns cr ip tsand 3 1  written  q ues ti onn aires ,  and t hesedocu me nt s  we re impo r te d into  M AX QDA,  or ga nized  int o  do cuments  sets cor res p ondi ng  1 57 to e ach participa nt , with doc um ent  setsa n d docume nts named using the pse u donyms.  Th e doc umen ts were c are fullycod e d andanalyz ed us in g o p e n and a xi alco ding (seet h e s ectio nData  Collec tion, Processing,a ndAnalysis in C hap ter3 ) .Inc od i ngth e  tr a n scripts, the re searcher u se d  i n-vivo cod e s i nsome in stances , cre a ting co des using  the actu al  wor d s  of  participa nts (Cor bin & Str a uss,2 00 8). I n o ther c as es,  as t he res e arc her u sed co ns tant c ompar at ive anal ysis to compare inciden ts inthe d ata  to findtho s e t hat wereconc eptually s imi lar , hecre a ted c odes fo r c a tegor ies, propertie s ,ord i me nsions to r a i s e t he da tat o a co ncep tual level (Corbi n  & Strauss, 20 08). P rop ert i es a re  characteristi csth a t  describ ethe concept s, and d im e nsion s arevariat ions wi t h in proper ties  th at provid e s pe c ificity  ( Co r bin &Stra us s, 200 8). Co d ingr e sulted in 377 co ncept u a l cod e s i nvolv in g 2,109 codi ng instanc es from the  trans crip ts. T here we re  19 ov era ll  conceptua l  categori es in  the co de  sys tem . Tabl e 2d i splay s th econ ceptual c a t eg o ri es and  the ir co de  fre quencies. 158 Tabl e 2 Concept ua l C a t egorie s  a n d  Coding Fr equ encyC a tegory Cod i ng F r eq u encyTechno logy i s a too l  20 3Educati ona l goals and  curricul u m s ho ulddrive te ch nolo gy  23 5Technological c hange is  inevita b l e 149Kee p  upw ith te ch nology (or b e lef tb ehind)3 9 3 T echnolo g y r ais esques tio ns o f  human values 86 Conside r et hical fac torsassoc ia ted with tech nology 1 2 1 Consider ph ilosophy of ins t ruc t iona l t e ch no logy 40 P hil o sophy  oftec hnol ogy  for 2 1stc entu r yskil ls isinfl ue nt ial 10 Te ch nologyc ause s  un inte ndedco ns e qu ences 1 17 Techn ology  c auses soc i al chan ge 5 8Both technolo gy
 Roads/Virginia_Peninsula TD13_Technology Director Southwest Virginia/Foothills_of Blue_Ridge_TD13 Technology_Director_Central Virginia TD15_Technology Director Northern_Neck/Middle Peninsula TS1 Technology_Specialist Northern Neck/Middle_Peninsula_TS2 Technology Specialist Southside TS3 Technology Specialist Central Virginia TS4 Technology Specialist Central Virginia_TS5_Technology Specialist_Central_Virginia_TS6 Technology Specialist Central Virginia_TS7 Technology Specialist Central Virginia_TS8 Technology_Specialist Northern Neck/Middle Peninsula TS9 Technology Specialist Hampton_Roads/Virginia_Peninsula TS10 Technology_Specialist Hampton Roads /Virginia Peninsula TS11 Technology Specialist Southside_TS12 Technology Specialist Central Virginia TS13_Technology Specialist Southwest_Virginia/Foothills_o_f Blue Ridge TS14_Technology Specialist Central Virginia TS15 Technology_Specialist Central Virginia TS16 Technology Specialist_Central Virginia Summary o f the coding_results. The researcher interviewed 31 participants,_and written questionnaires were completed_and received_from all participants. Data collection_resulted in a_total of_31 interview transcripts_and 31 written questionnaires, and these_documents were imported_into MAXQDA, organized into documents sets_corresponding_157 to each_participant,_with_document sets_and documents named_using_the pseudonyms._The_documents were carefully coded and analyzed_using_open and axial coding (see the section_Data Collection, Processing, and_Analysis_in Chapter 3). In_coding the transcripts, the researcher_used in-vivo codes in some instances,_creating codes_using the_actual words of participants (Corbin & Strauss, 2008). In other cases,_as the researcher used constant comparative_analysis to compare incidents_in the_data_to find those_that_were conceptually_similar, he created codes for categories, properties,_or dimensions_to raise the data to a_conceptual level (Corbin &_Strauss,_2008). Properties are characteristics that describe_the concepts, and dimensions are variations_within properties that provide specificity_(Corbin_&_Strauss, 2008). Coding resulted in_377 conceptual codes involving 2,109 coding_instances from the_transcripts. There were 19 overall conceptual categories_in_the code system. Table 2 displays_the_conceptual categories and their code frequencies._158_Table_2 Conceptual Categories and Coding_Frequency Category Coding Frequency Technology is_a tool 203 Educational goals and curriculum should drive_technology 235 Technological_change is inevitable 149 Keep_up_with_technology (or be left behind) 393 Technology raises questions of_human values_86 Consider ethical_factors associated with technology 121 Consider philosophy of instructional technology_40 Philosophy of technology for 21st century_skills is influential 10 Technology causes unintended consequences 117 Technology causes_social change 58 Both technology