Vol. 17 No. 21 (2023)

Papers

• Microlearning: Transforming Education with Bite-Sized Learning on the Go—Insights and Applications

  Agariadne Dwinggo Samala, Ljubisa Bojic, Derya Bekiroğlu, Ronal Watrianthos, Yeka Hendriyani

  pp. 4-24

  • PDF

• Students' Perception of Mobile Application in Calculus Learning

  Ainul Maulid bin Ahmad, Mu’azah Bt. Md. Aziz , Muhammad Shahrizan B. Shahrudin

  pp. 25-33

  • PDF

• An Information Service Platform for Decision Support in Academic Admissions Using Data Fabrics and Artificial Intelligence

  Pinyaphat Tasatanattakool, Krommavut Nongnuch; Panita Wannapiroon, Prachyanun Nilsook (Submitter)

  pp. 34-49

  • PDF

• TaLNA App: An Interactive Numeracy Mobile Learning Application for Children with Autism

  Muhamad Fairus Kamaruzaman, Faizah Abdul Majid, Toto Mujio Mukmin

  pp. 50-64

  • PDF

• Comparison of Predictive Algorithms for IOT Smart Agriculture Sensor Data

  Jakup Fondaj, Mentor Hamiti, Samedin Krrabaj, Xhemal Zenuni, Jaumin Ajdari

  pp. 65-78

  • PDF

• Augmented Reality Technology in Learning Arabic Vocabulary from the Perception of University Students

  Mus'ab Sahrim, Nor Fatini Aqilah Mohamad Soad, Lily Hanefarezan Asbulah

  pp. 79-96

  • PDF

• Promoting Virtual Learning Management Competencies in the Metaverse with Mobile Technology to Support Competency-Based Learning for Computer Major Preservice Teachers

  Unyaparn Sinlapaninman, Wannatida Yonwilad, Nakintorn Pattanachai

  pp. 97-114

  • PDF

• Reliable Multi-Path Communication for IoT Based Solar Automated Monitoring as Motivation Towards Multi-Farming Hydroponic

  Adam Wong Yoon Khang, Jamil Abedalrahim Jamil Alsayaydeh, Johar Akbar Bin Mohamat Gani, Jaysuman Bin Pusppanathan, Albert Feisal Muhd Feisal Ismail, Tan Kim Geok

  pp. 115-128

  • PDF

• Mobile-Assisted Listening Instructions with Jordanian Audio Materials: A Pathway to EFL Proficiency

  Luqman M Rababah, Nisreen Naji Al-Khawaldeh, Mahmoud Ali Rababah

  pp. 129-144

  • PDF

• Improved Detection and Tracking of Objects Based on a Modified Deep Learning Model (YOLOv5)

  Nadia Ibrahim Nife, Mohammed Chtourou

  pp. 145-160

  • PDF