Skip to main content
Have a personal or library account? Click to login
Critical factors affecting student satisfaction in a distance learning environment Cover

Critical factors affecting student satisfaction in a distance learning environment

Open Access
|Mar 2024

Figures & Tables

Table 1.

Socio-demographic characteristics of the students participating in the survey

VariablePercentage (%)
GenderMen5848.5
Women6452.5
Age (years)£301915.6
31–405545.1
41–504234.4
>5064.9
Educational levelTertiary Technical Institute (ATEI) graduates2318.9
University (AEI) graduates7158.1
Master’s2318.9
PhD54.1
Employment statusFully employed9678.7
Semi-/part-time employed1713.9
Unemployed97.4
Previous experience in distance learningYes2318.9
No9981.1
Table 2.

Mean and standard deviations

Learner–learner interactionLearner–tutor interactionSelf-regulated learningStudent satisfactionInternet self-efficacy
Mean2.533.953.553.673.77
Standard deviation0.860.770.510.910.79
Table 3.

ANOVA results comparing the means of variables in relation to employment status

FSig.
Learner–learner interaction0.8100.447
Learner–tutor interaction0.1270.881
Self-regulated learning1.1520.320
Student satisfaction3.3660.038*
Internet self-efficacy0.5250.593

1* The mean difference is significant at the 0.05 significance level.

Table 4.

ANOVA results comparing the means of variables in relation to the number of modules

Fp
Learner–learner interaction1.0610.349
Learner–tutor interaction5.9930.003*
Self-regulated learning2.4490.091
Student satisfaction0.9660.384
Internet self-efficacy1.5340.220

1* The mean difference is significant at the 0.05 significance level

Table 5.

Pearson correlation coefficients

Learner–learner interactionLearner–tutor interactionSelfregulated learningSatisfaction
Learner–learner interactionPearson correlation1
Sig. (two-tailed)
Learner–tutor interactionPearson correlation0.338**1
Sig. (two-tailed)0.000
Self-Regulated learningPearson correlation0.279**0.294**1
Sig. (two-tailed)0.0020.001
SatisfactionPearson correlation0.276**0.465**0.395**1
Sig. (two-tailed)0.0020.0000.000
Internet Self-efficacyPearson correlation0.194*0.260**0.322**0.315**
Sig. (two-tailed)0.0320.0040.0000.000

1* Significant correlation at the 0.05 significance level (two-tailed).

1** Significant correlation at the 0.01 significance level (two-tailed).

Table 6.

Classification table Block 0

Observed valuesPredicted values
SatisfactionPercentage correct
01
Step 0Satisfaction00280.0
1094100.0
Overall percentage77.0

1 a. Constant is included in the model

b. The cut value is 0.500

Table 7.

Variables in the equation

BS.E.WaldDfSig.Exp(B)
Step 0 Constant1.2110.21531.64310.0003.357
Table 8.

Model summary

Step-2 Log likelihood
1114.931a
2109.374a

1a Estimation terminated at iteration number 5 because parameter estimates changed by <001.

Table 9.

Hosmer–Lemeshow Test

BήμαChi-squareDfSig.
111.79880.160
24.16580.842
Table 10.

Classification table

Observed valuesPredicted values
SatisfactionCorrect classification percentage
0.001.00
Step1Satisfaction0.0072125.0
1.0049095.7
Overall percentage79.5
Step 2Satisfaction0.0091932.1
1.0049095.7
Overall percentage81.1

1 a. The cut value is 0.500

Table 11.

Variables in the equation

Variables in the equation
BSEWalddfSig.Exp(B)
Step 1aLearner–tutor interaction1.1750.31613.79210.0003.238
Constant-3.2441.1877.46810.0060.039
Step 2bLearner–tutor interaction1.0050.31610.08710.0012.732
Self-regulated learning1.1010.4855.16610.0233.008
Constant-6.4081.90011.37910.0010.002

1a Variable(s) entered on step 1: Learner–tutor interaction.

1b Variable(s) entered on step 2: Self-regulated learning.

Language: English
Page range: 1 - 23
Published on: Mar 1, 2024
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Evangelia Lysitsa, Ilias Mavroeidis, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.