Cloud-Based Collaborative Assessment Platform to Evaluate Service-Learning Group Projects in University Courses

In response to the digital era, various online assessments have been implemented and are used in several domains, including educational institutions. Cloud services facilitate real-time feedback, overcoming delays inherent in traditional assessment methods. However, some online assessment platforms are hard to follow as there are several stages and steps in the evaluation process. It is a further hindrance when considering several types of assessor roles in the evaluation process. The maturity of online assessment demands that different contributors be integrated into the evaluation process. It required careful consideration of a marking distribution plan. This paper specifies the design and development of an online assessment platform for multiple contributors that utilizes the capabilities of Cloud computing. A key feature of the platform is offering multi-assessors in the evaluation workflows. The choice of Cloud computing is that the assessors can assess from anywhere, provided that they are registered contributors. The online assessment platform of this study demonstrates the reasonable multi-assessor’s application of Cloud computing. The model of marking distribution is also practical for assessing the class project of service-learning (SL) activities. The multi-role assessors significantly enhance the overall assessment process with transparent evaluation and by utilizing the Cloud service, the assessment process is further enhanced.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-12-25
DOI
https://doi.org/10.37934/araset.64.1.187203
Primary Topic
Service-Learning and Community Engagement
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cloud-Based Collaborative Assessment Platform to Evaluate Service-Learning Group Projects in University Courses

Nuryani Nuryani, Zurita Ismail, Houcheng Zhang, Masnida Hussin et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Service-Learning and Community Engagement
article

Cloud-Based Collaborative Assessment Platform to Evaluate Service-Learning Group Projects in University Courses

Nuryani Nuryani, Zurita Ismail, Houcheng Zhang, Masnida Hussin, Siti Khadijah Ali
article en

Abstract

In response to the digital era, various online assessments have been implemented and are used in several domains, including educational institutions. Cloud services facilitate real-time feedback, overcoming delays inherent in traditional assessment methods. However, some online assessment platforms are hard to follow as there are several stages and steps in the evaluation process. It is a further hindrance when considering several types of assessor roles in the evaluation process. The maturity of online assessment demands that different contributors be integrated into the evaluation process. It required careful consideration of a marking distribution plan. This paper specifies the design and development of an online assessment platform for multiple contributors that utilizes the capabilities of Cloud computing. A key feature of the platform is offering multi-assessors in the evaluation workflows. The choice of Cloud computing is that the assessors can assess from anywhere, provided that they are registered contributors. The online assessment platform of this study demonstrates the reasonable multi-assessor’s application of Cloud computing. The model of marking distribution is also practical for assessing the class project of service-learning (SL) activities. The multi-role assessors significantly enhance the overall assessment process with transparent evaluation and by utilizing the Cloud service, the assessment process is further enhanced.

Journal of Advanced Research in Applied Sciences and Engineering Technology
Sebelas Maret University (ID), Universiti Putra Malaysia (MY)
Universiti Putra Malaysia
Openalex Percentile: Top 61%
Service-Learning and Community Engagement
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.

Cloud-Based Collaborative Assessment Platform to Evaluate Service-Learning Group Projects in University Courses — Nuryani Nuryani, Zurita Ismail, et al. · Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) | TGRS Research Map | TGRS