Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Κλίμακα Ικανοποίησης Ηλεκτρονικής Μάθησης× | Δείκτης Ετοιμότητας Τεχνολογίας× | |
|---|---|---|
| Πεδίο | Πληροφοριακά Συστήματα | Πληροφοριακά Συστήματα |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2008 | 2000 |
| Δημιουργός≠ | Bolliger, Halupa, Chi & Kilduff | Ajay Parasuraman |
| Τύπος≠ | Likert-scale satisfaction measure | Likert-scale questionnaire |
| Θεμελιώδης πηγή≠ | Chi, T., & Kilduff, P. P. (2011). Understanding consumer perceived value of casual online games. New Media & Society, 13(6), 954-971. link ↗ | Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined Technology Readiness Index. Journal of Service Research, 18(1), 59-74. DOI ↗ |
| Εναλλακτικές ονομασίες | ELSS, Online Learning Satisfaction | TRI, Parasuraman Technology Readiness |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | The E-Learning Satisfaction Scale measures learner satisfaction with online educational experiences across multiple dimensions including platform quality, instructor effectiveness, course content, peer interaction, and technical support. Developed through research by Bolliger, Halupa, Chi, and others studying online higher education, the scale helps institutions assess course quality, predict learner retention, and identify improvement opportunities in digital education delivery. | The Technology Readiness Index (TRI) was developed by Ajay Parasuraman in 2000 to measure individual propensity to adopt and use new technologies. The TRI assesses a person's personal attitudes toward technology across four dimensions: optimism, innovativeness, discomfort, and insecurity. Updated in 2015 with a streamlined 16-item version, the TRI helps identify technology adopter segments and predict behavior across diverse technology contexts. |
| ScholarGateΣύνολο δεδομένων ↗ |
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