Skip to content
Research Article Open access CC BY 4.0

Developing, Implementing and Evaluating Training for Online Graduate Teaching Assistants Based on ADDIE Model

Ratnaditya Jonnalagadda, Pallavi Singh, Avinash Gogineni, Roopesh Reddy Sadashiva Reddy, Hima Bindu Reddy

Asian Journal of Education and Social Studies · pp. 1–10 · Published 28 Apr 2022

10.9734/ajess/2022/v28i130664

Abstract

Graduate teaching assistants (GTAs) play an important instructional role in teaching undergrad- and graduate-level courses, yet they receive very little training. The most common form of teaching professional development to GTAs is a pre-semester workshop held at the course, department, or college level. In this study, we describe the development, implementation, and evaluation of GTA training programs using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). We used observation and interviews for data collection. ADDIE is generally used in instructional design. The results show the value of utilizing ADDIE in developing and evaluating a training program. It is intended to analyze the multi-dimensional connection of designing a training program: meeting expectations of trainees seeking to acquire skills sets as well as understanding the nuances and navigating the complex system that is needed to be successful on the job.

Graduate teaching assistant ADDIE model training training evaluation

Cited by 15

Gamification Based on Android to Improve Comprehension Civics for Deaf Student

Aisyah Ayu Mustikasari, Munawir Yusuf, Triana Rejekiningsih · International Journal of Elementary Education · 2023

Barriers and facilitators to fulfilling the teaching assistant role from nursing students’ perspective: a qualitative study

Shahzad Pashaeypoor, Zahra Amrollah Majdabadi, Ali Khanipour-Kencha · BMC Nursing · 2024

Integration Strategies of Learner Content and User Interface Design in Higher Education

Agyabeng Nimfah Yeboah, Leila Goosen · Advances in Educational Technologies and Instructional Design · 2024

Article metrics

Real usage data collected on this platform.

4

Page views

0

PDF downloads

0

Outbound clicks

15

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.