Enhancing Kindergarten Teachers' Capacity: IT-Based Screening for Maladaptive Behavior During COVID-19

Author:

Widyastuti Widyastuti,Affandi Ghozali Rusyid,Wiguna Akbar,Laili Nurfi

Abstract

In the context of the COVID-19 pandemic, the surge in maladaptive behavior among kindergarten students presents a pressing educational concern. Swift identification of such behaviors is crucial for effective intervention. This quantitative experimental study investigates the efficacy of the "Utilization of Information Technology-based Maladaptive Behavior Screening" training in bolstering the competence of teachers. Through quasi-experimental methods, 49 teachers from 'Aisyiyah Bustanul Athfal in Sidoarjo Regency participated in the training. The assessment tool employed was a comprehension test. Statistical analysis via paired samples t-test revealed a significant enhancement (p = 0.009; p < 0.05) between pre- and post-training performance. The intervention showcased substantial effectiveness (rs = 0.053; rs > 0.5) in elevating the teaching quality at 'Aisyiyah Bustanul Athfal. This study underscores the importance of IT-based tools in addressing maladaptive behavior issues and fortifying teacher aptitude amidst challenging circumstances, with implications extending to diverse educational settings. Highlight: Educational Imperative: The study addresses the heightened maladaptive behavior in kindergarten students during the COVID-19 pandemic, emphasizing the urgency of timely identification for effective intervention. IT-Based Training Impact: The research examines the positive impact of "Utilization of Information Technology-based Maladaptive Behavior Screening" training on teacher competence, demonstrated through significant performance enhancement. Broader Significance: The study reveals the broader applicability of IT-based tools in ameliorating maladaptive behavior issues and enhancing teaching quality, with implications extending to diverse educational settings. Keyword: Maladaptive Behavior, Kindergarten, COVID-19, Information Technology, Teacher Training

Publisher

Universitas Muhammadiyah Sidoarjo

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3