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Student Satisfaction and Student Interaction in Online Learning.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Student Satisfaction and Student Interaction in Online Learning./
Author:	Pires, Andre Cardoso.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	38 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:	Dissertations Abstracts International83-12B.
Subject:	Internet. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29097778
ISBN:	9798819341452

Student Satisfaction and Student Interaction in Online Learning.
Pires, Andre Cardoso.

Student Satisfaction and Student Interaction in Online Learning. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 38 p.

Source: Dissertations Abstracts International, Volume: 83-12, Section: B.

Thesis (M.M.)--Universidade NOVA de Lisboa (Portugal), 2021.

This item must not be sold to any third party vendors.

This work project aims to study what factors can best predict student satisfaction in online learning. A survey was designed based on existing research and distributed among Masters students. The predictor variables were student-content, student-instructor, student-student and student-technology interactions. The data was analyzed using multiple regressions and ANOVAs. The results confirm that student-content and student-instructor interactions area focal point of online learning while suggesting the opposite for student-technology interaction and being inconclusive for student-student interaction. The conclusions should be analyzed with the study limitations in mind, namely the sample used and the COVID-19 pandemic situation.

ISBN: 9798819341452Subjects--Topical Terms:

527226
Internet.

Student Satisfaction and Student Interaction in Online Learning.
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300 $a 38 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
500 $a Advisor: Amaro, Ana Paula.
502 $a Thesis (M.M.)--Universidade NOVA de Lisboa (Portugal), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a This work project aims to study what factors can best predict student satisfaction in online learning. A survey was designed based on existing research and distributed among Masters students. The predictor variables were student-content, student-instructor, student-student and student-technology interactions. The data was analyzed using multiple regressions and ANOVAs. The results confirm that student-content and student-instructor interactions area focal point of online learning while suggesting the opposite for student-technology interaction and being inconclusive for student-student interaction. The conclusions should be analyzed with the study limitations in mind, namely the sample used and the COVID-19 pandemic situation.
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