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Mwongozo wa Ujumuishaji

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xamJoint
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Unda mtihani

Ili kuunda mitihani, utahitaji kutuma ombi la chapisho na maelezo ya mitihani. Chini ni mfano:
{
  "name": "Introduction to Data Science DSC101",
  "platform": [
    "android",
    "ios",
    "web"
  ],
  "enforceDesktop": false,
  "analytics": {
    "device": true,
    "ip": true,
    "focusing": true
  },
  "openOn": 1719046628502,
  "closeOn": 1719064544928,
  "duration": 1200,
  "restricted_commands": [
    "copy",
    "cut",
    "paste",
    "right_mouse",
    "...more"
  ],
  "logo": "data:base64,WHV4MnJsN2oyZUdmb...",
  "translation": {
    "enableSelection": true,
    "entire": false,
    "langs": [
      "en",
      "zh",
      "ru",
      "de",
      "vi",
      "...more"
    ]
  },
  "redirectionLink": "https://exam.feedback.stanford.com/respondent",
  "monitoring": {
    "cam": true,
    "screen": true
  },
  "result": {
    "availability": "instant",
    "public": false,
    "viewableAns": true
  },
  "respondant": {
    "enforceUser": false,
    "multipleUserAttempts": false,
    "privateExam": false,
    "multipleInvitationAttempts": false,
    "multipleDeviceAttempt": false,
    "resumable": true,
    "charge": false
  },
  "welcomePage": {
    "content": [
      {
        "type": "text",
        "value": "Your custom html text goes here.."
      },
      {
        "type": "about",
        "value": "Enter Matric No."
      },
      {
        "type": "input",
        "value": "Enter Password"
      }
    ],
    "validate": false,
    "multipleAttempts": false
  },
  "thankYouPage": "<div>Thank you for your participation</div>",
  "courses": [
    {
      "title": "Data Wrangling and Cleaning",
      "shuffleQ": true,
      "shuffleOption": false,
      "limit": 1,
      "questions": [
        {
          "q": "Which of the following methods is used to handle missing values in a dataset?",
          "opt": [
            "Normalization",
            "One-Hot Encoding",
            "Imputation",
            "PCA (Principal Component Analysis)"
          ],
          "ans": [
            2
          ],
          "type": "radio",
          "points": 1
        },
        {
          "q": "Explain the process of data cleaning and why it is important in data science. Include examples of common issues found in raw data and how they can be addressed.",
          "type": "free",
          "points": 3
        }
      ]
    },
    {
      "title": "Statistical Analysis and Visualization",
      "shuffleQ": true,
      "shuffleOption": false,
      "questions": [
        {
          "q": "Which of the following are common types of data visualizations used in exploratory data analysis (EDA)? (Select all that apply)",
          "opt": [
            "Bar Chart",
            "Histogram",
            "Scatter Plot",
            "Decision Tree"
          ],
          "ans": [
            0,
            1,
            2
          ],
          "type": "checkbox"
        },
        {
          "q": "Which statistical measure is used to describe the spread or dispersion of a set of data points?",
          "ans": [
            "Standard Deviation",
            "S.D",
            "SD"
          ],
          "type": "exact_or"
        },
        {
          "q": "List 3 methods for measures of central tendency?",
          "ans": [
            "Mean",
            "Median",
            "Mode"
          ],
          "type": "exact_and"
        }
      ]
    }
  ]
}

Maelezo

Sehemu na maadili ya mtu binafsi yanaelezewa kama ifuatavyo:
MashambaAinaInahitajikaMaelezo
nameString✅Hii itakuwa jina lililopewa mtihani wako.
Haipaswi kuwa kubwa kuliko 200 wahusika
platformArray✅Safu hii inapaswa kuwa na majukwaa unayotaka mtihani huu kuunga mkono.
Maadili halali ni android, ios na web
enforceDesktopBoolean❌Ukweli ikiwa mtihani huu unaweza kuchukuliwa tu kwenye vifaa vilivyo na upana wa azimio la skrini zaidi ya saizi 999. Defaults kwa uwongo
openOnNumber❌Huu ni wakati ambapo mtihani unapaswa kupatikana.<br>Inatarajiwa kuwa katika muundo wa wakati wa wakati, ambayo ni idadi ya milliseconds ambazo zimepita tangu usiku wa manane (UTC) mnamo Januari 1, 1970.
closeOnNumber❌Huu ni wakati ambapo mitihani haipatikani tena.<br>Inatarajiwa kuwa katika muundo wa wakati wa wakati, ambayo ni idadi ya milliseconds ambazo zimepita tangu usiku wa manane (UTC) mnamo Januari 1, 1970.
durationNumber❌Hii ndio sekunde za juu ambazo mhojiwa anaweza kukamilisha mitihani.
logoString❌Hii inaweza kuwa data ya Base64 ya nembo ya mitihani au URL ya HTTPS inayoelekeza picha halali.
monitoring.camBoolean❌Ukweli ikiwa unataka kurekodi cam ya mhojiwa
monitoring.screenBoolean❌Ukweli ikiwa unataka kurekodi skrini ya mhojiwa
analytics.deviceBoolean❌Ukweli ikiwa unataka kuingia maelezo ya kifaa cha mhojiwa
analytics.ipBoolean❌Ukweli ikiwa unataka kuweka anwani ya umma ya mhojiwa
analytics.focusingBoolean❌Ukweli ikiwa unataka kuingia na bendera wakati mhojiwa anapoteza kuzingatia skrini ya mitihani
restricted_commandsArray❌Safu hii inapaswa kuwa na amri za kuzuiliwa wakati mhojiwa anachukua mitihani yao.


copy: Hii inapaswa kulemaza amri yoyote ambayo inahusishwa na kunakili maandishi kwenye ukurasa wa mitihani (e.g CTRL+C, CMD+C).
cut: Hii inapaswa kulemaza amri yoyote ambayo inahusishwa na maandishi ya kukata kwenye ukurasa wa mitihani (e.g CTRL+X, CMD+X).
paste: Hii inapaswa kulemaza amri yoyote ambayo inahusishwa na maandishi ya kubandika kwenye ukurasa wa mitihani (e.g CTRL+V, CMD+V).
right_mouse: Hii inapaswa kulemaza panya kubonyeza kulia
print: Hii inapaswa kulemaza amri yoyote ambayo inahusishwa na kuchapisha ukurasa wa mitihani (e.g CTRL+P, CMD+P).
fullscreen: Hii inapaswa kulemaza amri yoyote ambayo inahusishwa na kuingia kwenye skrini kamili kwenye ukurasa wa mitihani (e.g CTRL+CMD+F).
shortcut: Hii inapaswa kulemaza ufunguo wote wa njia ya mkato (k.m Arrowup, Arrowdown, Arrowleft, Arrowright, N, P, 1 - 9)
sci_cal: Hii inapaswa kulemaza Calculator ya kisayansi
basic_cal: Hii inapaswa kulemaza Calculator ya msingi
result.availabilityString✅Hii inaweza kuwa yoyote ya yafuatayo:

instant: Ikiwa unataka matokeo ya mhojiwa kupatikana mara moja
manual: Ikiwa unataka kutolewa matokeo ya mhojiwa kwa mikono
off: Ikiwa hautakusudia kutolewa matokeo ya mhojiwa kwenye jukwaa letu
result.publicBoolean✅Kweli ikiwa unataka mhojiwa wote kuona alama za kila mmoja
result.viewableAnsBoolean✅Kweli ikiwa unataka mhojiwa kuona alama na majaribio
respondant.enforceUserBoolean✅Kutekeleza kuingia kwa watumiaji kwa waliohojiwa.
respondant.multipleUserAttemptsBoolean❌Wezesha majaribio kadhaa kutoka kwa mtumiaji mmoja. Defaults kwa uwongo.
Tafadhali kumbuka: Thamani hii itapuuzwa ikiwa respondant.enforceUser ni ya uwongo
respondant.privateExamBoolean✅Ukweli ikiwa unataka mtihani huu uchukuliwe na washiriki tu ambao umealika.
respondant.multipleInvitationAttemptsBoolean❌Wezesha majaribio kadhaa kutoka kwa kiunga sawa cha mwaliko. Defaults kwa uwongo
Tafadhali kumbuka: Thamani hii itapuuzwa ikiwa respondant.privateExam ni ya uwongo
respondant.multipleDeviceAttemptBoolean❌Wezesha majaribio kadhaa kutoka kwa kivinjari au kifaa sawa. Defaults kwa uwongo
respondant.resumableBoolean❌Fanya mitihani iwezekane wakati mhojiwa anapakia tena ukurasa. Defaults kwa uwongo
respondant.chargeBoolean❌Malipo ya mhojiwa kwa ishara inayohitajika kwa kuchukua mtihani huu. Defaults kwa uwongo
respondant.limitNumer❌Hii inapaswa kuwa nambari nzuri inayowakilisha mhojiwa wa kiwango cha juu anayeweza kujaribu mtihani huu
redirectionLinkString❌Kutoa hii itaelekeza mtumiaji kwa kiunga maalum wakati mtihani umekamilika, na param ya hoja ya kusambazwa ya respondent_id=unique_id.

Kwa mfano, ikiwa umetoa https://exam.feedback.stanford.com/respondent Kama kiunga chako cha kuelekeza, mhojiwa ataelekezwa https://exam.feedback.stanford.com/respondent?respondent_id=unique_id. wapi unique_id itakuwa kitambulisho cha mhojiwa.
translation.enableSelectionBoolean❌Ukweli ikiwa unataka kuwezesha uteuzi wa lugha au kutumia lugha ya mfumo chaguo -msingi
translation.entireBoolean❌Ukweli ikiwa unataka kutafsiri maandishi yote ya mitihani, pamoja na maswali na chaguzi
translation.langsArray❌Safu hii inapaswa kuwa na ISO 639-1 language codes ambayo unataka tafsiri yako ya mitihani ipatikane ndani.

Lugha zilizoungwa mkono
  • English (en)
  • French (fr)
  • Chinese (zh)
  • German (de)
  • Swahili (sw)
  • Spanish (es)
  • Russian (ru)
  • Portuguese (pt)
  • Hindi (hi)
  • Arabic (ar)
  • Bengali (bn)
  • Japanese (ja)
  • Korean (ko)
  • Italian (it)
  • Turkish (tr)
  • Vietnamese (vi)
  • Dutch (nl)
  • Thai (th)
  • Indonesian (id)
  • Polish (pl)
  • Malay (ms)
  • Filipino (tl)
  • Swedish (sv)
  • Greek (el)
  • Czech (cs)
  • Romanian (ro)
  • Hungarian (hu)
  • Ukrainian (uk)
  • Hebrew (he)
  • Farsi (fa)
  • Danish (da)
  • Norwegian (no)
  • Finnish (fi)
  • Bulgarian (bg)
  • Albanian (sq)
  • Latvian (lv)
  • Mongolian (mn)
  • Slovak (sk)
  • Catalan (ca)
  • Georgian (ka)
  • Lithuanian (lt)
  • Serbian (sr)
welcomePage.validateBoolean❌Kweli ikiwa unataka kudhibitisha maadili ya uwanja wa welcomePage.content kupitia URL yako ya Webhook. Defaults kwa uwongo.
welcomePage.multipleAttemptsBoolean❌Ukweli ikiwa unataka kuruhusu jaribio nyingi za maadili ya uwanja. Chaguo -msingi kwa uwongo.
welcomePage.content.typeString❌Kutoa yaliyomo juu ya ukurasa wa kukaribisha mitihani
Thamani inaweza kuwa yoyote ya yafuatayo:

text: Inatoa maandishi au yaliyomo ya HTML.
input: Inatoa uwanja wa pembejeo, sambamba welcomePage.content.value itatumika kama mahali pa uwanja wa pembejeo.
thankYouPageString❌Maandishi au yaliyomo ya HTML ambayo yanaonyeshwa kwa mhojiwa baada ya kumaliza au kuwasilisha mitihani yao.
courses.titleString✅Kichwa cha kozi hiyo
courses.shuffleQBoolean❌Kweli kusumbua maswali katika sehemu hii
courses.shuffleOptionBoolean❌Kweli kubadili chaguzi katika maswali na radio or checkbox
courses.limitInteger❌Thamani ya jumla ya nambari inayopunguza idadi kubwa ya maswali ambayo mhojiwa anaweza kujaribu kwenye kozi hii
courses.questions.qString✅Swali la mtu binafsi katika maandishi au fomu ya HTML.
courses.questions.optArray❌Chaguzi za swali. Inapaswa kuwa safu ya kamba, inaweza kusaidia vitu 26.
Hii inapaswa kutolewa tu ikiwa courses.questions.type ni ama "radio" au "checkbox".
courses.questions.ansArray❌Jibu la swali.Ikiwa courses.questions.type ni ama "radio" au "checkbox", Hii inapaswa kuwa safu ya nambari kama msimamo wa chaguzi sahihi.Mwingine ikiwa courses.questions.type ni ama "exact" au "exact_and", basi inapaswa kuwa safu ya kamba.
courses.questions.typeString✅Thamani inaweza kuwa yoyote ya yafuatayo:

radio: Inafaa wakati swali lina chaguzi na jibu moja.
checkbox: Inafaa wakati swali lina chaguzi na jibu nyingi.
exact: Angalia dhidi ya jaribio la mhojiwa na jibu sahihi kwa kutumia kidogo au.
exact_and: Angalia dhidi ya jaribio la mhojiwa na jibu sahihi kwa kutumia kidogo na.
free: Inafaa wakati jibu la swali ni maandishi ya bure, kama insha au maelezo. Tafadhali kumbuka kuwa swali kama hili litakuwa alama na injini yetu ya AI.
courses.questions.pointsNumber❌Hesabu za vidokezo vya kupewa swali hili. Defaults kwa 1
courses.questions.expString❌Maelezo ya jibu sahihi kwa swali.

Hariri Mtihani

Wakati wa kuhariri mitihani iliyopo, hairuhusiwi kusasisha monitoring, result na respondant uwanja. Lakini unaweza kusasisha kikomo katika uwanja wa mhojiwa kama respondant.limit.
Hakuna operesheni ya kuunganisha inafanywa wakati wa kusasisha uwanja ambao una kitu au safu kama thamani yake. Badala yake, thamani nzima ya uwanja kama huo inabadilishwa na mpya.
Unaweza kuweka shamba ili kuweko ikiwa unataka kuiondoa


Ili kuhariri mitihani iliyopo, utahitaji kutuma ombi la kuweka pamoja na Exag_id.
{
  "platform": [
    "web"
  ],
  "openOn": null,
  "restricted_commands": [
    "copy",
    "cut",
    "paste"
  ],
  "translation": {
    "enableSelection": true,
    "entire": true,
    "langs": [
      "en",
      "zh",
      "ru"
    ]
  },
  "questions": [
    {
      "title": "Data Wrangling and Cleaning",
      "shuffleQ": true,
      "shuffleOption": false,
      "limit": 1,
      "questions": [
        {
          "q": "Which of the following methods is used to handle missing values in a dataset?",
          "opt": [
            "Normalization",
            "One-Hot Encoding",
            "Imputation",
            "PCA (Principal Component Analysis)"
          ],
          "ans": [
            2
          ],
          "type": "radio",
          "points": 1
        },
        {
          "q": "Explain the process of data cleaning and why it is important in data science. Include examples of common issues found in raw data and how they can be addressed.",
          "type": "free",
          "points": 3
        }
      ]
    },
    {
      "title": "Statistical Analysis and Visualization",
      "shuffleQ": true,
      "shuffleOption": false,
      "questions": [
        {
          "q": "Which of the following is a Python library used for data visualization?",
          "opt": [
            "NumPy",
            "Pandas",
            "Matplotlib",
            "Scikit-learn"
          ],
          "ans": [
            2
          ],
          "type": "radio"
        },
        {
          "q": "Discuss the importance of exploratory data analysis (EDA) in data science and describe how visualization tools can be used to perform EDA.",
          "type": "free",
          "points": 2
        }
      ]
    }
  ]
}

Futa mtihani

Ili kufuta mitihani, utahitaji kutuma ombi la kufuta pamoja na Examid_ID.
Kufuta mtihani kutafuta kila data inayohusiana na mitihani kama hiyo, pamoja na data zote za media, maswali na data ya mhojiwa
{
  "x-client-id": "xxx-xxx-xxx",
  "x-client-secret": "xxxxxxx",
  "content-type": "application/json"
}

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Ingia

Mwongozo wa Ujumuishaji

Utangulizi
Unda mtihani
Dhibiti mtihani
Simamia mahudhurio
Dhibiti matokeo
Matukio na WebHook