Name: A Model for Evaluating E-learning Systems Quality in JKUAT, Kenya (en Inglés)
SKU: 57304371
Price: 97.41 USD
Availability: InStock
Author: Hadullo, Kennedy ; Oboko, Robert ; Omwenga, Elijah
ISBN: 9786139860654

portada A Model for Evaluating E-learning Systems Quality in JKUAT, Kenya (en Inglés)

A Model for Evaluating E-learning Systems Quality in JKUAT, Kenya (en Inglés)

Formato

Libro Físico

Autor

Elijah Omwenga

Kennedy Hadullo

Robert Oboko

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

172

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x1 cm

Peso

0.26 kg.

ISBN13

9786139860654

Categorías

Tecnología: cuestiones generales

A Model for Evaluating E-learning Systems Quality in JKUAT, Kenya (en Inglés)

Elijah Omwenga (Autor) · Kennedy Hadullo (Autor) · Robert Oboko (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "A Model for Evaluating E-learning Systems Quality in JKUAT, Kenya (en Inglés)"

The rapid growth of Information and Communication Technology (ICT) brought significant changes in the practice of education globally, using Learning Management System (LMS) assisted: e-learning in Higher Education Institutions (HEIs). Despite the perceived benefits such as flexible and broad access, e-learning is still facing challenges such as identifying the needs of the students, the instructors, and the technicians and providing quality courses. Furthermore, evaluating existing e-learning initiatives and determining critical success factors for quality has been lacking. This has called for further investigation into e-learning practices in order to fill the gaps identified. The study presents a model for evaluating e-learning system quality through modifying and extending the Biggs Framework for Quality Learning with other models and frameworks. A descriptive and exploratory research using a cross-sectional survey of 180 respondents from Jomo Kenyatta University of Agriculture & Technology (JKUAT) was used. Data was collected via Questionnaire and Interviews with a stratified sampling technique.