Evaluating a Structural Equation Model Measuring Lifelong Learning and Continuing Education Factors

2013 ◽  
Vol 12 (3) ◽  
pp. 21-34
Author(s):  
Sofia D. Anastasiadou
2018 ◽  
Vol 23 (3) ◽  
pp. 549-566 ◽  
Author(s):  
Sharon L. N. M. Tjin A Tsoi ◽  
Anthonius de Boer ◽  
Gerda Croiset ◽  
Andries S. Koster ◽  
Stéphanie van der Burgt ◽  
...  

2017 ◽  
Vol 16 (1) ◽  
pp. 86-99
Author(s):  
Hakan Kör ◽  
Hasan Erbay ◽  
Melih Engin ◽  
Emre Dünder

Lifelong learning can be defined as all of the activities which aim to develop an individual’s skills, knowledge and abilities, socially, individually and professionally. Previous research on lifelong learning has been about using computers, digital competence and the correlation between demographic characteristics and intelligence. However, only one scale was used in this research, and, in general, only scores for demographic characteristics and lifelong learning were compared. In this research, the correlation between distance-learning students’ attitudes to technology, their frequency of use of smartphones and their attitudes to lifelong learning were examined. Reliability studies were carried out prior to the study and the Turkish adaptations of the scales published in international journals were administered with permission. The study sample consisted of 881 students studying in 12 different units of Hitit University: six Vocational Schools, four Faculties and two Graduate Schools. The data were analysed by creating a structural equation model on the open source R analysis program. According to the research results, there was a significant correlation between the three scales, and the correlation between the ‘lifelong learning’ scores and the ‘frequency of of smartphone usage’ scores was greater than the ‘technology attitudes’ scores. Key words: lifelong learning, technology attitudes, smartphone usage, technology leadership.


2007 ◽  
Author(s):  
Nathan D. Doty ◽  
Brian L. B. Willoughby ◽  
Betty S. Lai ◽  
Neena M. Malik

Liquidity ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Sri Widyastuti

Customer loyalty is ‘suspected’not been able to optimizationrepetition of transactions, customer recommendation and durability with the establishment relationship quality of the trust, customer satisfaction and commitment. Therefore, research conducted on Bank CIMB Niaga aims to determine the extent of the trust, and commitment to customer satisfaction can increase X-tra and TabunganKU savings customer loyalty. This research is verification and the method of research is explanatory survey method, the sample is 160 customer X-tra and tabunganKU savings in the branch office Bank CIMB Niaga Bintaro. The analytical method used is structural equation model. The results showed loyalty can be achieved with relationship quality for customers through the establishment of trust, and commitment to customer satisfaction, which all three have a positive influence. Therefore, the management of Bank CIMB Niaga need to improve their ability in trust, satisfactionand commitmentwith the bank's customers to become increasingly favored customers.


2020 ◽  
Vol 5 (01) ◽  
pp. 79-86
Author(s):  
Muhamad Son Muarie ◽  
Fathiyah Nopriani

E-learning adalah mediator yang menghubungkan sumber daya informasi dan layanan pengguna yang dapat diakses dari mana saja dan kapan saja. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh komponen Kepuasan Komputasi Pengguna Akhir (konten, akurasi, bentuk, kemudahan penggunaan, dan ketepatan waktu) terhadap kepuasan penggunaan   E-learning di Universitas Islam Negeri Raden Fatah Palembang. Mengetahui tingkat kepuasan pengguna (siswa) dengan penerapan teknologi pendidikan, yaitu E-learning. Mengetahui faktor apa yang mempengaruhi kepuasan menggunakan E-learning. Sebagai dasar pertimbangan untuk meningkatkan atau meningkatkan kualitas layanan teknologi pendidikan, yaitu e-learning di Universitas Islam Negeri Raden Fatah di Palembang. Populasi dan sampel penelitian diambil di Universitas Islam Negeri Raden Fatah Palembang, yang telah menggunakan E-learning sebagai mediator informasi antara dosen dan mahasiswa. SEM (Structural Equation Model) adalah metode analisis multivariat yang dapat digunakan untuk menggambarkan hubungan simultan antara variabel linier antara indikator dan variabel yang tidak dapat diukur secara langsung (variabel laten).


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