International Journal of Emerging Technologies in Learning (iJET)

This interdisciplinary journal aims to focus on the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning. So it aims to bridge the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions.

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Cover iJET Volume 16, Issue 12, 2021

Announcements

 

Attention! Fraudulent Emails Circulating

  
Currently, many researchers receive a call for papers for iJET, asking them to submit a paper via email.

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These are fake emails. In order to submit a paper to iJET, please create an account on the journal homepage, don't forget to enrol yourself as author and submit your paper here.

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Posted: 2020-06-23
 
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Vol 16, No 12 (2021)

Table of Contents

Papers

The Effectiveness of a Learner-Centered Pedagogical Approach with Flipped Pedagogy and Digital Learning Environment in Higher Education Feedback on a Cell Biology Course
Lynda Ouchaouka, Zineb Laouina, Mohamed Moussetad, Mohammed Talbi, Najat El Amrani, M'hammed ElKouali
PDF
pp. 4-15
Problem-Based Geometry in Seventh Grade: Examining the Effect of Path-Based Vs. Conventional Instruction on Learning Outcomes
Andreja Klančar, Andreja Istenič Starčič, Mara Cotič, Amalija Žakelj
PDF
pp. 16-35
Overcoming Gender Stereotypes in the Process of Social Development and Getting Higher Education in Digital Environment
Nargiz Abdulina, Aliya Abisheva, Vasily Movchun, Alisa Lobuteva, Liudmila Lobuteva
PDF
pp. 36-50
A Novel Teaching Approach for Mobile Internet-Based Collaborative Knowledge Construction in "Teaching Management"
Sheng Zhang
PDF
pp. 51-64
Dynamic Identification of Learning Styles in MOOC Environment Using Ontology Based Browser Extension
Divyansh Shankar Mishra, Abhinav Agarwal, Sucheta V Kolekar
PDF
pp. 65-93
Machine Learning-Based Student Emotion Recognition for Business English Class
Yuxin Cui, Sheng Wang, Ran Zhao
PDF
pp. 94-107
An Improved Early Student’s Academic Performance Prediction Using Deep Learning
Nida Muhammad Aslam, Irfan Ullah Khan, Leena H. Alamri, Ranim S. Almuslim
PDF
pp. 108-122
Ontology-Based Recommender System for a Learning Sequence in Programming Languages
Saman Shishehchi, Nor Azan Mat Zin, Esmadi Abu Abu Seman
PDF
pp. 123-141
A New Machine Learning Framework for Effective Evaluation of English Education
Lei Zhang
PDF
pp. 142-154
Detecting Students Gifted in Mathematics with Stream Mining and Concept Drift Based M-Learning Models Integrating Educational Computer Games
Petar Juric, Marija Brkic Bakaric, Maja Matetic
PDF
pp. 155-168
Exploring Factors and Indicators for Measuring Students’ Performance in Moodle Learning Environment
Iman Rashid Al-Kindi, Zuhoor Al-Khanjari
PDF
pp. 169-185
The Development of an Evaluation Model to Assess the Effect of Online English Teaching Based on Fuzzy Mathematics
Yuqing Zhang
PDF
pp. 186-200
Application of Fuzzy Evaluation in Comprehensive Quality Evaluation of Higher Education Students
Wei Lu, Chunxu Jia, Jialin Zuo
PDF
pp. 201-214
A Novel Framework of Success Using of E-Assessment During Corona Pandemic
Sultan Refa Alotaibi
PDF
pp. 215-232
Method of Information Technology Enhanced Japanese Vocabulary Learning and Evaluation
Duen-Huang Huang, Hao-En Chueh, Huai-Te Huang, Hong-Fa Ho, Chang-Yi Kao
PDF
pp. 233-245
The Effectiveness of Educational Pillars Based on Vygotsky's Theory in Achievement and Information Processing Among First Intermediate Class Students
Lina Fouad Jawad, Muayad Kadhim Raheem, Ban Hassan Majeed
PDF
pp. 246-262
Exploring Dysphasia Learners’ Vocabulary Acquisition through the Cognitive Theory of Multimedia Learning: An Experimental Study
Aravind B R, Rajasekaran V
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pp. 263-275
Development of an ERP System Design Course to Improve Students' Learning Outcomes
Basma Alharbi
PDF
pp. 276-288

Short Papers

Examining Individual Demographic and School Support Factors Regarding Teachers’ Intention to Use Technology: A Hierarchical Regression Analysis
Miaoqi Huang, Li Xiangming, Jingshun Zhang
PDF
pp. 289-297