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Journal : Information Technology Education Journal

Agile Development of PressAI: Enhancing Educational Efficiency through QR-Based Attendance and AI-Powered Essay Scoring M. Miftach Fakhri; Pramudya Asoka Syukur; Muh Idul Akbar Pratama; A.M Yusran Mazidan; Alya Olivia; Rosidah
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i3.5092

Abstract

In learning activities, common issues such as time-consuming and manipulation-prone attendance processes, as well as subjective and inconsistent essay grading, often arise. This study aims to develop PressAI, an AI-based application that automates attendance using QR code technology and provides objective essay grading powered by the OpenAI API. The application was developed using the Agile methodology integrated within the Software Development Life Cycle (SDLC) framework, through iterative stages including planning, requirements analysis, system design, implementation, and testing. The results demonstrate that PressAI enables instant and accurate attendance recording via QR scanning, provides a seamless login experience without repeated authentication, and delivers fast and objective essay assessments. With its features, PressAI is expected to enhance efficiency and transparency in the learning process while offering opportunities for further innovative feature development.
Understanding Pre-Service Math Teachers’ Use of GeoGebra: The Role of Confidence, Social Pressure, and TPACK Rosidah; M. Miftach Fakhri; Zul Jalali Wal Ikram; Fitria Arifiyanti; Guillermo Bautista
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8341

Abstract

This study investigates the determinants of pre-service mathematics teachers’ continuous intention to use GeoGebra by integrating key constructs from educational technology acceptance and pedagogical knowledge frameworks. Employing a quantitative correlational design, data were obtained from 209 pre-service teachers through a validated questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research examined the direct effects of Self-Confidence in Mathematics (SCM), Facilitating Conditions (FC), Perceived Social Pressure (PSP), and Technological Pedagogical Content Knowledge (TPACK) on Continuous Intention to Use GeoGebra (CIUG). The results revealed that SCM, PSP, and TPACK significantly influence CIUG, whereas FC did not show a significant effect. These findings underscore the importance of psychological and pedagogical readiness over infrastructural support in predicting sustained technology use. The study contributes to the literature by providing empirical evidence on the integration of internal and external factors within a unified model and suggests that teacher education programs should focus on enhancing self-efficacy, social engagement, and TPACK to support technology integration. Future research is encouraged to explore contextual and longitudinal aspects to expand the applicability of these findings across diverse educational settings.
Integrating Technology with Academic Success by Evaluating ChatGPT’s Quality Compatibility and Impact on Student Performance Irwansyah Suwahyu; Yohana Rara; Nur Syafitra Ramadhani; Rosidah; Putri Nirmala; Nurrahmah Agusnaya; Pramudya Asoka Syukur
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8532

Abstract

The use of artificial intelligence (AI) technology in higher education has become an important element to improve students' academic performance. ChatGPT, as one of the generative AI applications, offers speed, ease of use, and relevant responses to support students' learning activities. This study aims to analyze the relationship between overall technology quality, technology characteristics, technology task suitability, compatibility, and performance impact in using ChatGPT on students' academic performance. This study used a quantitative approach with a cross-sectional design and purposive sampling technique involving 182 active student respondents using ChatGPT. Data were collected through an online questionnaire using a 5-point Likert scale covering five main variables. The results of descriptive analysis show a mean value that illustrates that students generally have a positive perception of the use of ChatGPT in supporting their academic activities. These findings suggest that ChatGPT has great potential in improving student productivity and comprehension, although service quality, task suitability, and function compatibility need to be continuously improved to better suit academic needs. Thus, the implementation of ChatGPT in higher education needs to be planned adaptively and ethically in order to optimally support students' learning success in the digital era
Co-Authors A.M Yusran Mazidan Ahmad Talib AHMAD ZAKI Ahmar, Ansari Saleh Ainun, Rezki Awalia Akhmad Affandi Akhmad Affandi Akhmad Affandi Alya Olivia Amaliah, Asri Ainun Andi Dio Nurul Awalia Andika Isma Aprisal, Aprisal Aqil Ananda Arif Setiawan Syam Asdar . Awi Dassa Baharuddin Dary Mochamad Rifqie Dary Mochamad Rifqie Della Fadhilatunisa Elma Nurjannah Fadhil Zil Ikram Fajar Arwadi Fatahuddin Fatahuddin Fatahuddin Fauziyyah Alimuddin Fitrah Asma Darmawan Fitri Nur Azizah A. Fitria Arifiyanti Guillermo Bautista Hamda Hamda Hamda, Hamda Hamzah Upu Hasriyanti Hisyam Ihsan Ikram, Muhammad Ilham Minggi Ilham Minggi Ilyas, Muhammad Irwansyah Suwahyu Israwati Hamsar Lisca Palerina M Nur Eqhy Putra Pratama M. Miftach Fakhri Ma’rufi Ma’rufi Muh Galang Nusantara Muh Idul Akbar Pratama Muh Nur Sulaiman Muh. Ikhwan Risqullah Muh. Irsan Muhammad Alwi Muhammad Ansarullah S. Tabbu Muhammad Arafah Alif Muhammad Dwi Andika Muhammad Fardan Muhammad Fardan Muhammad Fikri Aqil Muhammad Husnul Khuluq Muhammad Takwin Machmud Mulyani Marhadi Nasrullah Nasrullah Nasrullah Novita Sari Nur Aisyah Mukhtar Nur Fadhylah As Nur Furqan Ahmad Hasan Nur Hidayat Nur Syafitra Ramadhani Nurrahmah Agusnaya Nurrahmah Agusnaya Nursyam Anaguna Nurwati Djam'an Phimlikid Kaewhanam Pramudya Asoka Syukur Pramudya Asoka Syukur Putri Nirmala Putri Nirmala Radhiah Rafiqah Ameliah Kasim Raodahtul Jannah Reski Andini Rezki Awalia Ainun Ridwan Daud Mahande Sabri Sahid Sigit Sahalik Rahman Siti Fatimah Azzahra Namar St. Zulaiha Nurhajarurahmah Sudarmanto Jayanegara Suradi Surianto B Mappangara Sutamrin, Sutamrin Syahfira Audiwinanda Talib, Ahmad Wahidah Sanusi Wahyu Hidayat M Wildan Muafan Yohana Rara Yudhi Alfian Zul Jalali Wal Ikram