MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
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"comment": "Contributor"
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"timestamp": "2023-05-29T18:36:46Z",
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"params": {},
"type": "create",
"action": "create",
"user": "Haripriya",
"timestamp": "2022-07-16T14:53:38Z",
"comment": "created a sub-page for MORF based data studies"
},
{
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"title": "MORF:Studies",
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"logpage": 32,
"params": {},
"type": "create",
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"user": "Haripriya",
"timestamp": "2022-07-16T14:52:58Z",
"comment": "created a new page for morf based studies"
},
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"title": "MORF",
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"user": "Haripriya",
"timestamp": "2022-07-16T14:43:03Z",
"comment": "added some intro text from the MORF about page"
},
{
"logid": 39,
"ns": 0,
"title": "Social Network Link Prediction",
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"logpage": 30,
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"user": "Ryan",
"timestamp": "2022-07-04T13:22:05Z",
"comment": "Created page with \"Li, Xing, & Leite (2022) [https://dl.acm.org/doi/pdf/10.1145/3506860.3506869?casa_token=OZmlaKB9XacAAAAA:2Bm5XYi8wh4riSmEigbHW_1bWJg0zeYqcGHkvfXyrrx_h1YUdnsLE2qOoj4aQRRBrE4VZjPrGw pdf] * Models predicting whether two students will communicate on an online discussion forum * Multiple fairness approaches lead to ABROCA of under 0.01 for female versus male students * Compared members of overrepresented racial groups to members of underrepresented racial groups ** Underrepr...\""
},
{
"logid": 38,
"ns": 0,
"title": "Task/Activity Quit Prediction",
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"logpage": 29,
"params": {},
"type": "create",
"action": "create",
"user": "Ryan",
"timestamp": "2022-06-21T02:58:32Z",
"comment": "first entry"
},
{
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"ns": 0,
"title": "Self-regulated Learning",
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"type": "create",
"action": "create",
"user": "Joyce",
"timestamp": "2022-06-01T15:57:42Z",
"comment": "Created page with \"Zhang et al. (in press) [pdf] * Four detectors (i.e., numerical representation, contextual representation, outcome orientation, and data transformation) relating to two cognitive operations (assembling and translating) were built to detect middle school students' use of self-regulated learning in mathematical problem-solving process. * Detectors were built using XGBoost with labels coded from text replays and features distilled from log data and textual responses. * Com...\""
},
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"title": "Public or Private K-12 School",
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"user": "Ryan",
"timestamp": "2022-05-21T12:53:54Z",
"comment": "started page"
}
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}
}