Learning Analytics: Survey data for measuring the impact of study satisfaction on students’ academic self-efficacy and performance

Petros Kostagiolas; Charilaos Lavranos; Nikolaos Korfiatis

doi:10.1016/j.dib.2019.104051

Learning Analytics: Survey data for measuring the impact of study satisfaction on students’ academic self-efficacy and performance

Petros Kostagiolas, Charilaos Lavranos, Nikolaos Korfiatis

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

45 Downloads (Pure)

Abstract

This paper presents learning analytics data for measuring the impact of study satisfaction on students’ academic self-efficacy and performance. For this purpose, a specially designed questionnaire was developed and distributed across 124 undergraduate students. Preliminary analysis using descriptive statistics for items and confirmatory factor analysis is provided. The analysis provides evidence for the relation between students’ satisfaction, self-efficacy, and academic performance, and evaluates the role of academic information resources in fulfilling students’ information needs. These data are of importance for researchers and practitioners involved with budgetary decisions in academic collections as well as the influence of research specific (rather than training specific) information resources in student satisfaction.

Original language	English
Article number	104051
Journal	Data in Brief
Volume	25
Early online date	23 May 2019
DOIs	https://doi.org/10.1016/j.dib.2019.104051
Publication status	Published - Aug 2019

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Accepted_ManuscriptAccepted author manuscript, 419 KBLicence: CC BY
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Nikolaos Korfiatis
- N.Korfiatisuea.acuk
- Norwich Business School - Associate Professor in Business Analytics
- Centre for Competition Policy - Member
- Innovation, Technology and Operations Management - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research

Cite this

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title = "Learning Analytics: Survey data for measuring the impact of study satisfaction on students{\textquoteright} academic self-efficacy and performance",

abstract = "This paper presents learning analytics data for measuring the impact of study satisfaction on students{\textquoteright} academic self-efficacy and performance. For this purpose, a specially designed questionnaire was developed and distributed across 124 undergraduate students. Preliminary analysis using descriptive statistics for items and confirmatory factor analysis is provided. The analysis provides evidence for the relation between students{\textquoteright} satisfaction, self-efficacy, and academic performance, and evaluates the role of academic information resources in fulfilling students{\textquoteright} information needs. These data are of importance for researchers and practitioners involved with budgetary decisions in academic collections as well as the influence of research specific (rather than training specific) information resources in student satisfaction.",

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Learning Analytics: Survey data for measuring the impact of study satisfaction on students’ academic self-efficacy and performance

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Nikolaos Korfiatis

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