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Effectiveness Analysis of Digital Teaching Materials and Assessment for Gadget Based Application by Using Artificial Intelligence Lenti Susanna Saragih; Jufri Darma; Sabda Dian Nurani Siahaan
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 11, No 1 (2025): March
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i1.13598

Abstract

This study aims to evaluate the viability and effectiveness of the use of digitalisation of teaching materials and learning assessment of marketing management courses with artificial intelligence based on gadget applications. This study used development research with DDD-E model (decide, design, develop, evaluate). These research subjects were students from the 4th semester of the Business Education Program of Universitas Negeri Medan, with 65 students. Before being put on trial, first the product was put to test to see its validity which will be judged by three experts to measure the eligibility by looking at the material, language, and media. A practicality test was performed to see the usage practicality by looking at the Source aspect, animation aspect, visual aspect, audio aspect, evaluation aspect, and accessibility aspect. Hypothesis test performed by using paired sample T-test with experimental design before-and-after to test the effectiveness of teaching materials and study assessments as to the outcome of before-and-after treatment using teaching materials on digital-based application. The research results showed that using the digitalization of teaching materials and learning assessment of the marketing management course with artificial intelligence before and after treatment results in different learning outcomes, according to the effectiveness test. From the data, it can be seen that there is a strong and significant influence of around 64.2% between before and after the use of teaching materials and digital learning assessments of the dBUSAR application on student learning outcomes. Overall, the role of Artificial Intelligence in student learning has great potential to change the educational paradigm.
Co-Authors Alya Yasmin Andika Sihotang Angga Humala Putra Siagian Anindia Jovita Br Ginting Arisman Purba Arsyrah Fitri Aurora Elise Putriku Azahra Salwa Benget Marcelino Sitinjak Cantika Elizabeth Sigalingging Christian Putra Tarigan Daniel Martinus Danita Febryanti Br Simatupang Danny Ajar Baskoro Dede Ruslan DEDE RUSLAN Dilla Syadzwina Dodi Pramana Dwi Rahmadani Eka Putra Dairi Boangmanalu Elisabet Sitohang Esa Setiana Feby Caroline Hardia Fitri Hasibuan Haryani Pratiwi Sitompul Hermika Pinem Indri Sri Asdini Indri Sri Asdini Silaban Jois Simarmata Jufri Darma Julaidi Selian Julia Retni Ainaya Junedi Sugianto Pakpahan Karen Orelia Gulo Keysya Br Tarigan Kezia Virginia Leonardo Marcellinus Ndraha lidya Mutiara Hutasoit Linsa Febby Br Barus Mei Lani Sembiring Michael Sihombing Monica Yunisca Elysela Simamora Monika Ayu Lumbantoruan Mutiara Dwi Rizqina Nadya Rahmadhani Novita Sari Br Siboro Olivia Theresia Manurung Putriku, Aurora Elise Rando Ioga Sinulingga Rangga Restu Prayogo, Rangga Restu Resy Tamara Resy Tamara Riski Lainatus Sifa Riski Lainatus Sifa Riyani Sijabat Sabda Dian Nurani Siahaan SARONOM SILABAN Saronom Silaban Sasti Permata Selviana Vony Meak Sendiana Br Ginting Sepania Tiarasi Lumban Tobing Siahaan, Sabda Dian Nurani Silvi Aulia Sitorus Silvia Diva Sari Siti Ulgari Siti Ulgari Sri Handayani Sri Wahyuni Sylvia Amanda Teresia Bunga Vini Andayani Manik Vini Andayani Manik Wulan Natasha Simanjuntak Yessi Novitasari Laia Yolanda Br.Sihaloho Yolanda Tampubolon Yosi Bertaria Silaban Yuliana Simbolon Yulie Aisyah Binrany