PREDICTING STUDENT SATISFACTION IN DISTANCE EDUCATION AND LEARNING ENVIRONMENTS

被引:0
|
作者
Sahin, Ismail [1 ]
机构
[1] Selcuk Univ, Dept Comp & Instruct Technol, Coll Educ, Meram, Konya, Turkey
来源
关键词
Student Satisfaction; Distance Education; Learning Environment; DELES;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The purpose of this study was to analyze characteristics of online learning environments. Data collected using the Distance Education Learning Environments Survey (DELES) were used to explore the relationship between student satisfaction and the following predictor variables: instructor support, student interaction and collaboration, personal relevance, authentic learning, active learning, and student autonomy. The participants of this study were 917 undergraduate students at an Anatolian university in Turkey. Results of the regression analysis show that four of the six DELES scales, namely, personal relevance, instructor support, active learning, and authentic learning, were significantly and positively related to student satisfaction. These results provide valuable feedback to institutions offering online classes and to educators evaluating satisfaction of their students.
引用
收藏
页码:113 / 119
页数:7
相关论文
共 50 条
  • [2] PREDICTING STUDENT SATISFACTION FROM PERCEPTIONS OF INTERACTION IN DISTANCE LEARNING
    FULFORD, C
    ZHANG, S
    TELETEACHING, 1993, 29 : 259 - 268
  • [3] Distance Education and Student Satisfaction Regarding the Pedagogical Support Services Provided in Virtual Teaching-learning Environments
    Chamorro-Atalaya, Omar
    Morales-Romero, Guillermo
    Quispe-Andia, Adrian
    Trinidad-Loli, Niceforo
    Caycho-Salas, Beatriz
    Leon-Velarde, Cesar
    Gamarra-Mendoza, Sofia
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (20) : 255 - 262
  • [4] Predicting Student Performance in Distance Higher Education Using Active Learning
    Kostopoulos, Georgios
    Lipitakis, Anastasia-Dimitra
    Kotsiantis, Sotiris
    Gravvanis, George
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EANN 2017, 2017, 744 : 75 - 86
  • [5] Determining student satisfaction in distance education courses
    Caliskan, Semih
    Suzek, Sibel
    Ozcan, Deniz
    9TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATION OF SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTION, ICSCCW 2017, 2017, 120 : 529 - 538
  • [6] Understanding Critical Distance Learning Issues: Toward a Comprehensive Model Predicting Student Satisfaction
    Callaway, Stephen
    Alflayyeh, Saad
    INFORMATION RESOURCES MANAGEMENT JOURNAL, 2011, 24 (04) : 61 - 76
  • [7] TRANSACTIONAL DISTANCE AND STUDENT SATISFACTION IN A POSTGRADUATE DISTANCE LEARNING PROGRAM
    Gavrilis, Vagelis
    Mavroidis, Ilias
    Giossos, Yiannis
    TURKISH ONLINE JOURNAL OF DISTANCE EDUCATION, 2020, 21 (03): : 48 - 62
  • [8] LEARNING STYLES AND SATISFACTION IN DISTANCE EDUCATION
    Wu, Darren C.
    TURKISH ONLINE JOURNAL OF DISTANCE EDUCATION, 2014, 15 (04): : 112 - 129
  • [9] Learning styles, emotional intelligence and social presence as predictors of distance education student satisfaction
    Boverie, P
    Garcia, S
    SELECTED PAPERS FROM THE EIGHTH NATIONAL CONFERENCE ON COLLEGE TEACHING AND LEARNING, 1997, : 29 - 36
  • [10] Predicting student success in open and distance learning
    Simpson, Ormond
    OPEN LEARNING, 2006, 21 (02): : 125 - 138