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Vivi Ayu Lestari

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Open access Aug 2026

Integration Of Languagetool Api For Automated Spelling And Grammar Assessment In English Writing

English writing proficiency is a fundamental academic competency and a key indicator of students' language mastery in higher education. Theoretically, this complexity is grounded in the Complexity, Accuracy, and Fluency (CAF) framework, with the accuracy aspect specifically emphasizing adherence to grammatical and spelling rules. However, the manual assessment processes typically employed by instructors are often hindered by heavy technical workloads, high operational costs, and potential inter-rater inconsistency, ultimately limiting the frequency and depth of formative feedback provided to students. While commercial Automated Writing Evaluation (AWE) tools offer a partial solution, many operate as opaque "black box" systems reliant on proprietary third-party APIs, raising concerns regarding data reliability, institutional privacy, and a lack of pedagogical transparency for learners. This research seeks to address these issues by developing a transparent, self-hosted writing assessment prototype using the Design Science Research (DSR) framework. The system is built on the Laravel 12 framework—chosen for its modularity and security—and integrates the open-source LanguageTool API to provide rule-based feedback on spelling and writing style. The prototype's performance was rigorously evaluated against a "gold standard" established by independent expert raters using a dataset of authentic student essays. Validation results demonstrate high reliability, with the system achieving significant accuracy in spelling and grammar detection. Furthermore, the system exhibits high technical efficiency with rapid response times. This research aims to produce a digital solution capable of further development that bridges the gap between traditional assessment methods and modern educational technology; the solution is also expected to effectively alleviate the technical workload of instructors while empowering students to become more independent through real-time instructional feedback based on language usage standards.

Anwar Hilman, Vivi Ayu Lestari, J. Sihombing et al. · bit-Tech · 0 citations

Open access Jul 2026

Enhancing Learning Effectiveness in Higher Education through Active Learning Approaches

Learning effectiveness in higher education continues to be a significant concern, particularly in learning environments that still rely heavily on lecture-based instruction. Although such approaches allow for efficient content delivery, they often limit student engagement and reduce opportunities for meaningful learning. This study aims to explore how active learning approaches can enhance learning effectiveness from the perspective of university students.A qualitative research design was employed to capture students’ experiences and perceptions of active learning. The study involved university students who participated in learning activities such as group discussions, collaborative tasks, problem-solving exercises, and reflective practices. Data were collected through classroom observations, reflective writings, and semi-structured interviews. The findings indicate that active learning fosters higher levels of engagement, encourages participation, and promotes deeper understanding of learning materials. Students also reported increased confidence in expressing ideas and a greater sense of responsibility toward their learning. In addition, active learning was found to support the development of critical thinking and the ability to connect theoretical concepts with real-life situations.Overall, this study highlights that active learning contributes to more effective and meaningful learning experiences by creating interactive, student-centered environments. It suggests that integrating active learning into higher education can support sustained engagement and improved learning outcomes

Vivi Ayu Lestari, Arif Budimansyah Purba, Ahmad Najib Mutawally et al. · Jurnal Pengabdian Masyarakat... · 0 citations