cover
Contact Name
Irwanto
Contact Email
Irwanto@unj.ac.id
Phone
+6282323169338
Journal Mail Official
editor@ijeti-edu.org
Editorial Address
Jl. Nusantara No.1, Desa Karangsambung, Kec. Arjawinangun, Kab. Cirebon, Jawa Barat 45162, Indonesia
Location
Kab. cirebon,
Jawa barat
INDONESIA
Journal of Educational Technology and Instruction
ISSN : -     EISSN : 2963458X     DOI : -
Core Subject : Education,
Journal of Educational Technology and Instruction (JETI; e-ISSN: 2963-458X) is a peer-reviewed, international academic open-access journal, and published twice a year (in March and September). JETI publishes original scientific research articles in the field of educational technology and instruction and related areas in primary education, secondary education, and higher education. It also publishes research using a variety of qualitative, quantitative, and mixed methods approaches. The audience includes researchers, academicians, professionals, and practitioners from all over the world. The papers should be submitted and will be published in English. All submissions go through a strictly double-blind review process. The focus of JETI is to publish articles related to educational technology and instruction at all levels of education. The range of topics covered by the journal includes: Educational Technology: Computer Technologies and Teaching Multimedia in Digital Learning E-learning Distance Education and MOOCs Virtual Learning Environments Open Education ICT and Education Learning Management Systems Flipped Classrooms Mobile Education Gamification Instruction: Assessment and Evaluation Curriculum and Instruction Classroom Teaching Innovative Methodologies in Learning Collaborative Learning Inquiry-based Learning
Articles 32 Documents
Implementation of Computer Vision for Efficient Attendance and School Uniform Checking System Faris Maulana; M. Ali Akbar Sinaga; Hairul Rizal; Bella Nideni Mahendra; Lita Anggraini; Utih Amartiwi
Journal of Educational Technology and Instruction Vol. 2 No. 2 (2023): Journal of Educational Technology and Instruction
Publisher : Tauladan Fathimah Azzahra

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Abstract

Managing school administrative tasks can consume substantial time and effort. Every semester, teachers find themselves occupied in repetitive manual tasks such as attendance tracking, disciplinary documentation, and assignment grading. These sometimes could take longer time than preparation for teaching. In this research, we proposed an Artificial Intelligence (AI) approach to handle this problem. In the era of Industry 4.0, AI has been managed to be personal assistance and do human repetitive tasks efficiently. However, the implementation of AI in Indonesia especially for educational institutions is still rare. Therefore, we have developed an innovative AI-driven attendance and uniform detection system by implementing computer vision models. Computer vision is a field of AI that equips machines with the ability to interpret and understand visual information from images and videos, enabling them to classify images and detect objects. The results show that computer vision has successfully facilitated swift and accurate detections for this task. We have also incorporated a timestamp to provide information about the time when students arrive at school. Subsequently, all the recorded data will be saved and organized within the school’s database. As a result, teachers are liberated from the tedium of manual data entry and can redirect their efforts toward pedagogical materials and instructional strategies.
Software-based Attention Bias Modification Intervention for Adult EFL Learners’ Foreign Language Anxiety Mohammad R. Hashemi; Parastoo Alizadeh Oghyanous; Morteza Bakhtiarvand
Journal of Educational Technology and Instruction Vol. 3 No. 1 (2024): Journal of Educational Technology and Instruction
Publisher : Tauladan Fathimah Azzahra

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Abstract

Foreign language anxiety has long been considered detrimental to second language acquisition to the extent that some teaching methods were based on anxiety reduction in language classrooms. Cognitive bias modification is an almost new procedure for reducing anxiety and depression. The current mixed methods study aimed at investigating the effect of software-based attentional CBM on adult Iranian EFL learners’ language anxiety. Participants of the study were 79 English language learners (M = 23.73, SD = 1.42), selected based on convenience sampling from three foreign language institutes in Tehran. The distribution of gender was almost equal. Data were collected through Foreign Language Classroom Anxiety Scale before and after applying the software-based attentional bias modification intervention. Furthermore, semi-structured interviews were run to explore how this treatment would affect the anxiety level of language learners. Analysis of Covariance results revealed that the software-based attentional bias modification significantly reduced foreign language anxiety of the learners. Furthermore, analysis of the qualitative data showed that attentional bias modification mainly affects the communication apprehension and test anxiety components of foreign language anxiety.

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