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p-Index From 2020 - 2025
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All Journal International Journal of Artificial Intelligence Research Journal of Language and Literature Studies
Dolba, Sammy Q.
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Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Other

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The Efficacy of Process-Tracing Technologies for Supporting Academic Writing Instruction: A Lesson Learned from Vietnam Wang, Huang Yen; Dolba, Sammy Q.; Zamorano, Alex
Journal of Language and Literature Studies Vol. 3 No. 2 (2023): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v3i2.1343

Abstract

Writing-process research has undergone a transformative shift from relying on methods that were impractical for classroom settings, such as direct or video-based observations and concurrent verbal reports, to adopting less-obtrusive techniques like keystroke logging and eye tracking. The latter methods have become increasingly feasible due to the resolution of software and cost-related concerns, making them more accessible for pedagogical applications. Therefore, this study aims to investigate the efficacy of process-tracing technology for supporting academic writing instruction at a middle school in Vietnam. To carry out the research process, the researchers applied qualitative study. The participants in this study comprise a group of learners attending a middle school in Vietnam. Their involvement in the research revolves around the meticulous tracing of their writing process as they engage in the production of argumentative texts, with a particular focus on the utilization of technology during this endeavor. Data collection involved the application of both interviews and observations to gather comprehensive insights into the phenomenon under investigation. The findings of the study showed that process-tracing technology is able to help teachers and learners to control their academic writing achievement. The conclusion showed that the integration of process-tracing technology, combining keystroke logging and eye tracking, has proven to be a highly effective and valuable tool for supporting academic writing.
Evaluating the Impact of Ai-Generated Outputs on Student Assessment: Educator's Perspective Dolba, Sammy Q.; Inoncillo, Frederick A; Nunez, Jayrome L.
International Journal of Artificial Intelligence Research Vol 9, No 1 (2025): June
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1347

Abstract

This study investigates educators' perceptions of the impact of artificial intelligence (AI)-)-generated outputs on student assessment in the Philippine educational context. With the rapid integration of AI technologies in education, understanding how educators view these tools is crucial for effective implementation. A descriptive quantitative research design was employed, utilizing a structured survey distributed to a diverse group of 93 educators across various disciplines. The findings reveal a generally positive perception of AI's role in enhancing teaching practices, with a mean score of M = 3.42 indicating high perceived value. However, concerns regarding the reliability and fairness of AI-generated output were noted, with mean scores of M = 3.30 and M = 3.28, respectively. Additionally, educators expressed moderate confidence in using AI tools, reflected by a mean score of M = 3.24. Qualitative responses highlighted ethical considerations and the need for continuous professional development to equip teachers with the necessary skills to effectively integrate AI into their assessments. This research underscores the potential benefits and challenges associated with AI in education, emphasizing the importance of addressing educators' concerns to maximize the advantages of AI technologies in student learning outcomes.
Co-Authors Inoncillo, Frederick A Nunez, Jayrome L. Wang, Huang Yen Zamorano, Alex