Online Language Test And Assessment: Indonesian Elementary School Teachers' Perception

This qualitative case study explores the perspectives of Indonesian elementary school teachers concerning online language tests and assessments.Utilizing the comprehensive Technological Pedagogical Content Knowledge (TPACK) framework, the research examines how teachers proficiently employ online assessment methodologies to enhance pedagogical practices.Data was collected through questionnaires and in-depth interviews conducted with 30 primary school teachers, representing a diverse array of institutional backgrounds including state, private, and Islamic primary schools.Analysis of the findings underscores the commendable proficiency demonstrated by teachers in leveraging digital assessment techniques guided by the TPACK framework to augment teaching practices with technology.However, within these commendable efforts, the study uncovers significant challenges stemming from technical limitations and insufficient support from pertinent stakeholders.These insights shed light on the intricate landscape surrounding the integration of technology into assessment practices within primary school education, calling for targeted interventions to address these challenges and optimize the utilization of technology in language assessment.Such endeavors are crucial in fostering an enriched educational ecosystem that embraces technology as a catalyst for enhanced learning outcomes.

Authors

Institutions

Publication Details

Journal
Jurnal Penelitian Pendidikan
Published
2024-12-17
DOI
https://doi.org/10.17509/jpp.v24i3.77768
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Online Language Test And Assessment: Indonesian Elementary School Teachers' Perception

Fazri Nur Yusuf, Ihin Solihin
Jurnal Penelitian Pendidikan
Technology-Enhanced Education Studies
article

Online Language Test And Assessment: Indonesian Elementary School Teachers' Perception

Fazri Nur Yusuf, Ihin Solihin
article en

Abstract

This qualitative case study explores the perspectives of Indonesian elementary school teachers concerning online language tests and assessments.Utilizing the comprehensive Technological Pedagogical Content Knowledge (TPACK) framework, the research examines how teachers proficiently employ online assessment methodologies to enhance pedagogical practices.Data was collected through questionnaires and in-depth interviews conducted with 30 primary school teachers, representing a diverse array of institutional backgrounds including state, private, and Islamic primary schools.Analysis of the findings underscores the commendable proficiency demonstrated by teachers in leveraging digital assessment techniques guided by the TPACK framework to augment teaching practices with technology.However, within these commendable efforts, the study uncovers significant challenges stemming from technical limitations and insufficient support from pertinent stakeholders.These insights shed light on the intricate landscape surrounding the integration of technology into assessment practices within primary school education, calling for targeted interventions to address these challenges and optimize the utilization of technology in language assessment.Such endeavors are crucial in fostering an enriched educational ecosystem that embraces technology as a catalyst for enhanced learning outcomes.

Jurnal Penelitian PendidikanVol. 24(3)
Indonesia University of Education (ID)
Openalex Percentile: Top 54%
Technology-Enhanced Education Studies
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.