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Artificial Intelligence Learning in Higher Education Rompas, Parabelem Tinno Dolf; Winowatan, Saruendo; Binoli, Sri Astuti; Limeri, Hendrik; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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Abstract

The development of Artificial Intelligence (AI) has introduced new opportunities for transforming higher education, particularly in digital learning, academic management, and scientific research. AI enables real-time learning data analysis, personalized learning materials tailored to student needs, and automation of administrative tasks. This structured literature review explores AI implementation, benefits, and challenges in higher education. The findings indicate that adaptive learning systems, learning analytics, intelligent tutoring systems, and AI-driven chatbots enhance learning effectiveness and support academic decision-making. However, issues such as data privacy, algorithmic bias, and limited AI literacy remain significant obstacles. Responsible integration of AI requires strong policy frameworks, institutional readiness, and transparent system design.
Innovation of Adaptive Learning Based on Artificial Intelligence Rompas, Parabelem Tinno Dolf; Lalompoh, Hartentus M.; Wagei, Suci K.; Gunde, Alfrits P.; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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Abstract

The development of digital technology encourages transformation across various sectors, including education. Adaptive learning based on Artificial Intelligence (AI) is an innovation that enables the teaching and learning process to take place in a personalized, dynamic manner, and aligned with students’ characteristics. This article discusses the implementation of AI-based adaptive learning as a strategy to improve learning effectiveness through learning needs analysis, curriculum differentiation, and the use of data as the basis for learning recommendations. The research method employed is a literature study by reviewing recent journals and scientific publications. The findings show that AI-based adaptive learning can increase learning motivation, independence, and learning achievement through the delivery of materials aligned with students’ competency levels, learning styles, and learning pace. In conclusion, this innovation becomes a potential solution for improving the quality of education in the digital era, provided that technological infrastructure, teacher readiness, and students’ digital literacy are adequately supported.
Challenges and Strategies of Informatics Teachers in Integrating Interactive Technology in Classrooms Rompas, Parabelem T. D.; Nelwan, Stevani Alen; Iroth, Rendy Maxsi; Simboh, Juneitly Margret; Batmetan, Johan Reimon
International Journal of Information Technology and Education Vol. 5 No. 1 (2025): December 2025
Publisher : JR Education

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Abstract

This study aims to identify the challenges faced by informatics teachers in integrating interactive technology into classroom learning and the strategies used to overcome these obstacles. A descriptive qualitative approach was employed with data collected through in-depth interviews, classroom observations, and document analysis. The findings reveal four major categories of challenges: limited digital infrastructure, teachers’ technological competence, varied student readiness, and limited instructional time. Informatics teachers addressed these challenges through self-training, the use of lightweight and free applications, strengthening teacher collaboration, developing interactive learning materials, and implementing more structured digital classroom management. The study recommends enhanced institutional support through the provision of appropriate devices, continuous training, and reinforcement of digital learning policies to achieve optimal integration of interactive technology.
Pengembangan Sistem Informasi Kemitraan antara Dunia Industri dan Alumni Jurusan Pendidikan Teknologi Informasi dan Komunikasi di Universitas Negeri Manado Gereuw, Gabriel Enjel; Batmetan, Johan Reimon; Parinsi, Mario Tulenan
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 6 (2025): EduTIK : Desember 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

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Abstract

Kemajuan teknologi informasi menuntut adanya sistem yang mampu menghubungkan dunia pendidikan dengan industri, khususnya dalam penyediaan informasi kerja bagi alumni. Penelitian ini bertujuan mengembangkan sistem informasi kemitraan berbasis web untuk alumni Jurusan PTIK Universitas Negeri Manado dan pihak industri. Metode yang digunakan adalah Agile dengan pendekatan Kanban, sehingga pengembangan berlangsung iteratif dan adaptif. Sistem dibangun menggunakan PHP (CodeIgniter), basis data MySQL, dan antarmuka Bootstrap. Fitur utama meliputi registrasi pengguna, manajemen profil, publikasi lowongan, pengajuan lamaran, serta verifikasi oleh admin. Hasil pengujian menunjukkan sistem bekerja stabil, responsif, dan memenuhi kebutuhan fungsional maupun non-fungsional. Penelitian ini menyimpulkan bahwa sistem yang dikembangkan dapat menjadi sarana efektif untuk memperkuat hubungan universitas dan industri sekaligus mempermudah alumni memperoleh informasi kerja secara cepat dan terstruktur.
Co-Authors Abinarti Paende Albertin Parupang Alfandy Parera Alfrina Mewengkang Anthoni R. Pulakiang Arauna Rangan Pabara Arje Cerullo Djamen Armstrong F. Sompotan Ayu Monika Br Surbakti Bangun, Veo Rani Sania Br Binoli, Sri Astuti Chelyca Vira Mita Kaliu Chensui Natania Sage Christine Takarina Meitty Manoppo Daniel Riano Kaparang Debie Kalalo Deitje Adolfien Katuuk Desyemca Florenda Indra Muda Dina Demhi Elni Usoh Feliks Stefanus Raube Fradel R. Sigar, Verry R. Palilingan, Mario T. Parinsi Gereuw, Gabriel Enjel Gilly Marlya Tiwow Gloria Inviniti Milania Lolowang Graldo Sarempa Grasela Wowor Gunde, Alfrits P. Harke Mosey Henny N. Tambingon Herman Koessoy Hiskia Kamang Manggopa Idjie, Elyis Y. C Jaime Da Costa Lobo Suares Jeffry Sony Junus Lengkong Jimmy Waworuntu Joulanda A. M. Rawis Julita Mamonto Kaliu, Chelyca Vira Mita Kambey, Joseph Karel, Lordy Kebri Kein Mopudy Pajung Kembuan, Eddy D.R.E Kumampung, Deislie R. Henrieta Lalompoh, Hartentus M. Lengkong, Chifly Chandra Liando, Olivia Eunike Selvie Lihart Lumapow Limeri, Hendrik Lolowang, Gloria Inviniti Milania Makalunsenge, Sri Wahyu Widiati Mamonto, Julita Veronica Mamuaja, Marlin Penina Mariana Rengkuan Mario Tulenan Parinsi Marshel R. Kapahang Mei Litha Saleppa Metsi Daud1 Mosey, Harke Muda, Desyemca Florenda Indra Muhammad Nur Muyu, Ronaldo Natasya Misnawati Sikki Natasya Sikki Nayoan, Leyri Nelwan, Stevani Alen Olivia Eunike Selvie Liando Orbanus Naharia Paende, Abinarti Palilingan, Verry Ronny parabelem tinno dolf rompas Parupang, Albertin Peggy Veronica Toga Peggy Veronica Togas Poli, Bellavel Rapar, Jocke Jonathan Rendy Maxsi Iroth Rima Lolong Rompas, Parabelem T. D. Rotty, Viktory Nicodemus Joufree Ruma, Satin La Rumagit, Selvie Serly Runtuwene, Marcelino M. A Sage, Chensui Natania Saleppa, Mei Litha Sarempa, Graldo Shelty D. M. Sumual Simboh, Juneitly Margret Sondy C. Kumajas Songgigilan, Ridho Junior Sumampouw, Merry M. Sumual, Tinneke E. M. Surbakti, Ayu Monika Br Susan Jacobus Suyoto Suyoto Taqwa Hariguna Tarandung, Iszach R P Tentero, Jenifer Yunisha Toga, Peggy Veronica Trudi Komansilan Tulungen, Franky Reintje Turang, Omega S.M. Untu, Avandi E. Veo Rani Sania Br Bangun Wagei, Suci K. Wasti Wasti Wasti, Wasti Watung, Hensy Wensi Ronald Lesli Paat Winowatan, Saruendo Wiranatha, I Made Nomo Wowor, Christaria Wowor, Grasela Yusuf, Yusnia Zalukhu, Grace Natalia