Ensuring Excellence: Quality Assurance Practices of Online Teaching and Learning at Higher Education Level in Pakistan

The purpose of this study was to assess the current quality assurance mechanisms and practices for online teaching at the higher education level in Pakistan. The study was conducted on 214 higher education level private and public universities that have offered online education during COVID-19. The quantitative research approach was used to carry out this study. All the students from public and private universities were considered the population of the study. A multi-stage sampling technique was applied to select the sample from private and public universities in ICT and four provinces: Punjab, KPK, Sindh, and Baluchistan of Pakistan. The self-develop questionnaire based on a five-point Likert scale was administered to collect the data. Data were collected through multiple means such as personal visits to universities and online Google Forms. Descriptive data analysis techniques were used to analyze the data. Findings revealed that instructors facilitated learners to ensure the quality of teaching. Learners also reported that the instructors provided a detailed course overview and material to engage and facilitate the learners. However, expanding access to more diverse materials and ensuring compatibility across devices is needed.

Authors

Institutions

Publication Details

Journal
PJDOL
Published
2024-12-30
DOI
https://doi.org/10.30971/pjdol.v10i2.2636
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ensuring Excellence: Quality Assurance Practices of Online Teaching and Learning at Higher Education Level in Pakistan

Shahid Maqsood, Fouzia Ajmal, Huma Kausar
PJDOL
Online and Blended Learning
article

Ensuring Excellence: Quality Assurance Practices of Online Teaching and Learning at Higher Education Level in Pakistan

Shahid Maqsood, Fouzia Ajmal, Huma Kausar
article en

Abstract

The purpose of this study was to assess the current quality assurance mechanisms and practices for online teaching at the higher education level in Pakistan. The study was conducted on 214 higher education level private and public universities that have offered online education during COVID-19. The quantitative research approach was used to carry out this study. All the students from public and private universities were considered the population of the study. A multi-stage sampling technique was applied to select the sample from private and public universities in ICT and four provinces: Punjab, KPK, Sindh, and Baluchistan of Pakistan. The self-develop questionnaire based on a five-point Likert scale was administered to collect the data. Data were collected through multiple means such as personal visits to universities and online Google Forms. Descriptive data analysis techniques were used to analyze the data. Findings revealed that instructors facilitated learners to ensure the quality of teaching. Learners also reported that the instructors provided a detailed course overview and material to engage and facilitate the learners. However, expanding access to more diverse materials and ensuring compatibility across devices is needed.

PJDOL
International Islamic University, Islamabad (PK)
Openalex Percentile: Top 60%
Online and Blended Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ensuring Excellence: Quality Assurance Practices of Online Teaching and Learning at Higher Education Level in Pakistan — Shahid Maqsood, Fouzia Ajmal, et al. · PJDOL (2024) | TGRS Research Map | TGRS