Exploring Adaptive Teaching Competencies in Big Data Era

Author:

Huda Miftachul,Maseleno Andino,Shahrill Masitah,Jasmi Kamarul Azmi,Mustari Ismail,Basiron Bushrah

Abstract

In the last decade, the demand of digital tool to support educational process has been emerged among the universities around the world. In big data era, the demand to utilize it in adaptive teaching should be considered to enable the teaching performance especially in accessing the resources. This paper aims to explore the framework model as a way for teachers in adapting big data to help their teaching performance especially in accessing the resources. The literature review was conducted from peer review journals, books and conferences. The findings reveal that process and management skills should be engaged into adaptive teachings competencies. It included commitment in planning, time management, and technology skills. This study is expected to contribute in strengthening teaching performances in the application guideline in the big data era to support assessing the multi-channels of sources of knowledge to extract new insights of value in exploring the adaptive teaching competencies.

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering,Education

Cited by 91 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Managing Professional-Ethical Negotiation for Cyber Conflict Prevention;International Journal of Cyber Behavior, Psychology and Learning;2024-05-22

2. The Adoption of Big Data in the Education Sector;Navigating through Technology in Modern Education;2024-05-01

3. Group computing task assignment and association analysis based on big data technology;International Journal of Grid and Utility Computing;2024

4. Research on the Teaching Mode of College English Education based on Big Data Technology;Applied Mathematics and Nonlinear Sciences;2024-01-01

5. Social Media Adoption for Digital Learning Innovation: Insights into Building Learning Support;Lecture Notes in Networks and Systems;2024

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