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THE IMPLEMENTATION OF DIGITAL-BASED READING COMPREHENSION TEST TO STUDENTS : A LIBRARY RESEARCH Theodora Evita Bella Lumban Raja; Rika Budiarti; Cinta Yulistra Tindaon; Pika Marselli Simarmata; Marino Sihombing
Jurnal Intelek Insan Cendikia Vol. 2 No. 1 (2025): JANUARI 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

This research delves into the implementation of digital-based reading comprehension test within educational environments, highlighting both its effectiveness and the challenges it presents. As digital learning tools become increasingly woven into educational curricula, this research investigates how technology can enrich the evaluation of reading comprehension. In a comprehensive exploration of pertinent literature, researchers analyzed the benefits and challenges associated with the implementation of digital-based reading comprehension test. Our key findings indicate that digital tests provide numerous benefits, including immediate feedback, adaptability, and enhanced accessibility, all of which significantly bolster students engagement and learning outcomes. Nonetheless, this research also addresses several challenges, such as technological constraints, gaps in digital literacy, and the necessity for well-structured test frameworks. This research culminates in a series of insightful recommendations aimed at educators and policymakers, advocating for integration of digital tests to enhance the development of reading comprehension skills among students.
Students’ Motivation in Learning English Through AI-Based Learning Theodora Evita Bella Lumban Raja; Dumaris E. Silalahi
Jurnal Multidisiplin Sahombu Vol. 5 No. 08 (2025): Jurnal Multidisiplin Sahombu, December (2025)
Publisher : Sean Institute

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Abstract

This literature review investigates the influence of Artificial Intelligence (AI)-based English learning applications on learners’ motivation and engagement in English as a Foreign Language (EFL) contexts. The rapid growth of digital education has brought AI technologies such as Duolingo, ELSA Speak, Memrise, and ChatGPT-based tutors into language classrooms, transforming traditional pedagogy. Through a synthesis of recent empirical studies, this review explores how AI-based tools enhance motivation through adaptive feedback, gamification, personalization, and real-time support. It also identifies challenges such as the novelty effect, limited social interaction, and technological inequality. The findings indicate that AI platforms can boost intrinsic and extrinsic motivation by supporting autonomy, competence, and relatedness—core components of Self-Determination Theory (Deci & Ryan, 2000). Sustained motivation, however, requires integration with teacher guidance and social collaboration. AI tools serve best as complementary instruments that, when aligned with human empathy and pedagogy, foster engaging and sustainable learning experiences.