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Early Identification of Students at ...

So, Roger Sheng.

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Early Identification of Students at Academic Risk Based on Learning Management System Log Data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Early Identification of Students at Academic Risk Based on Learning Management System Log Data./
作者:	So, Roger Sheng.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	81 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-09, Section: A.
Contained By:	Dissertations Abstracts International85-09A.
標題:	Higher education administration. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30693620
ISBN:	9798381745009

Early Identification of Students at Academic Risk Based on Learning Management System Log Data.
So, Roger Sheng.

Early Identification of Students at Academic Risk Based on Learning Management System Log Data. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 81 p.

Source: Dissertations Abstracts International, Volume: 85-09, Section: A.

Thesis (Ed.D.)--St. John's University (New York), 2024.

Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify students who are at academic risk. The scope of this study is to retrospectively analyze first-year student activity for the Spring 2022 semester for early warning signs worthy of intervention. A student risk assessment will be determined by reviewing student LMS activity, compared with peers, during the semester.

ISBN: 9798381745009Subjects--Topical Terms:

2122863
Higher education administration.
Subjects--Index Terms:

Canvas

Early Identification of Students at Academic Risk Based on Learning Management System Log Data.
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300 $a 81 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-09, Section: A.
500 $a Advisor: Campbell, James R.
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