About IJIET

International Journal of Information and Education Technology
International Journal of Information and Education Technology (IJIET) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of information and education technology.  

The focus is to publish papers on the application of mobile information and communication technology with computers as the core in education.  Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for information and education technology as well as designers and developers.

All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.


Important NoticeIJIET will only accept new submissions through online submission system


General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

Editor-in-Chief

Prof. Dr. Steve Thatcher
CQUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

Latest Articles

01Exploring Chinese EFL Teachers’ Acceptance of Mobile-Assisted Language Learning (MALL)
Zengfang Lin, Ain Nadzimah Abdullah, and Arshad Abdul Samad

Mobile-Assisted Language Learning (MALL) has emerged as an important domain since mobile devices are widely used by the current generation of learners This study[Click]

02Prediction of Academic Performance of Engineering Students by Using Data Mining Techniques
Swati Verma, Rakesh Kumar Yadav, and Kuldeep Kholiya

In the current age, students‟ academic performance deterioration is a very crucial problem in engineering education Prediction of low-performing students[Click]

03A Proposal of Mistake Correction Problem for Debugging Study in C Programming Learning Assistant System
Yanhui Jing, Nobuo Funabiki, Soe Thandar Aung, Xiqin Lu, Annisa Anggun Puspitasari, Htoo Htoo Sandi Kyaw, and Wen-Chung Kao

Currently, C programming is taught as the first programming language in many universities around the world due to the easy-to-learn and middle-level nature However, the[Click]

04Digital Knowledge Engineering Learning Model for Undergraduates in Thai Educational Institutions
Thamasan Suwanroj and Orawan Saeung

Efficient learning management is the learning that can reflect students' identities through creating work following desirable competencies. It can develop students by providing opportunities to practice thinking about, using[Click]

05Alternative Forms of Laboratory Teaching during the Lockdown Period Caused by the COVID-19 Pandemic
Stepan Major, Marie Hubálovská, and Roman Loskot

This article deals with problematics of laboratory learning in the state of total lockdown of educational institutions which was caused by COVID-19 pandemic. Schools in the Czech Republic have been operating in a special[Click]

06Study of Factor Analysis on Game-Based Learning for Scaffolding Installation Activities in Education and Training for Indonesian State Electricity Company Employees
Amma Liesvarastranta Haz, Ilham Achmad Al Hafidz, Evianita Dewi Fajrianti, Sritrusta Sukaridhoto, M. Udin Harun Al Rasyid, Rizqi Putri Nourma Budiarti, Ubaidillah Zuhdi, Niken Savitri Primasari, Muhammad Ali Fikri, Naufal Adi Satrio, Luqmanul Hakim Iksan

One of the appropriate ways to improve learning is to create innovations to attract students interest in learning To support this, UPDL-Semarang introduced the concept[Click]

Most cited papers

01Leveraging Digital Technology for Better Learning and Education: A Systematic Literature Review
Md Nazirul Islam Sarker, Min Wu, Qian Cao, GM Monirul Alam, and Dan Li

Abstract—Technological integration in learning and education is an inevitable part of the ever-changing technologica [Click]

02Blockchain-Based Transcripts for Mobile Higher-Education
Timothy Arndt and Angela Guercio

Blockchain has emerged as a transformative technology, from its beginning as the basis of cryptocurrencies to wider applications in areas such as property registration[Click]

03Digital Learning Ecosystem by Using Digital Storytelling for Teacher Profession Students
Kritsupath Sarnok, Panita Wannapiroon, and Prachyanun Nilsook

Abstract—This research aims 1) to design a Digital Learning Ecosystem, 2) to study the process of teaching digital storytelling in the digital ecosystem, and 3) to evaluate the appropriateness of digital learning ecosystem for teacher profession [Click]

04An Automated Hydroponics System Based on Mobile Application
Kunyanuth Kularbphettong, Udomlux Ampant, and Nutthaphol Kongrodj

Abstract—Thai government is attempting to enhance agricultural productivity by launching campaign “Thailand 4 0” to educate farmers and raise incomes and improves the living standard of farmers Thailand 4 0 " should be changed to make a [Click]

05Research on VR-Supported Flipped Classroom Based on Blended Learning — A Case Study in "Learning English through News"
Li Xiao-Dong and Cao Hong-Hui

Abstract—Combined with educational information technology, advanced concepts of ubiquitous learning and mobile learning, the paper incorporates technologies of virtual reality, cloud computing, context awareness with blended learning mode in flipped [Click]

06Research on the Learning Behavior of University Students in Blended Teaching
Jiangbo Shu, Qianqian Hu, and Min Zhi

Abstract—Learning analysis is the motive force of optimizing teaching and realizing individualized learning Compare [Click]

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