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A Report Review: Artificial Intelligence and the Future of Teaching and Learning Kritandani, Weny; Aryani, Renaningtyas; Rakasiwi, Tetta
International Research-Based Education Journal Vol 6, No 2 (2024)
Publisher : Faculty of Education Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um043v6i2p245-253

Abstract

This review provides an insightful overview of "Artificial Intelligence and the Future of Teaching and Learning," a policy report by the United States Department of Education. Keywords such as Artificial Intelligence (AI) development, policy-making, ethics, equity, collaboration, and human-centric approach are emphasised throughout. The review highlights the report's comprehensive analysis, actionable recommendations, and emphasis on inclusive policy-making processes. It underscores the significance of understanding AI's multifaceted nature, its potential to enhance education, and the importance of safeguarding privacy and equity. Practical examples and case studies are discussed, along with recommendations for aligning AI with educational goals. Overall, the review positions the report as a valuable resource for policymakers, educators, and technology developers, guiding them toward responsible AI integration in education.
SciSpace for Finding Relevant Literature in English Language Education Contexts: A Technology Review Kritandani, Weny; Putra, Angga Widitama; Mali, Yustinus Calvin Gai; Isharyanti, Neny
Indonesian Journal of English Language Studies (IJELS) Vol 10, No 2 (2024): September 2024
Publisher : Magister Kajian Bahasa Inggris (English Language Studies) Universitas Sanata Dharma Yogy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijels.v10i2.9146

Abstract

Writing a literature review part might be a challenging task for university students as they have to sit for some time to find recent literature that is closely relevant to their research topics. In that case, the authors spot the potential of utilizing SciSpace, Artificial Intelligence technology, to support the students in their literature review activities. In this study, the authors aim to review the potential benefits and challenges of using SciSpace to find recent literature relevant to students’ research topics, framed under the task engagement principles. To achieve that study goal, the authors used a recent technology review approach to do the review and conducted rigorous peer debriefing activities to ensure that the review results are credible and trustworthy. The review results showed the benefits of using SciSpace, which included fostering task authenticity, maintaining students’ interest, facilitating social interaction, supporting autonomy, and providing effective scaffolding. Meanwhile, the challenges of using SciSpace involved content accuracy and relevance, updating tailored content, handling complex queries and visuals, and offering context-specific feedback. Recommendations for maximizing the application's potential include improving content filtering, expanding interactive features, and providing specialized feedback. Future research agendas also are presented. 
Anchoring task-based learning to foster cadets’ sustainable English-speaking skills Dewi, Irma Shinta; Fatimah, Fatimah; Fauziningrum, Endah; Kritandani, Weny; Sani, Asrul
EduLite: Journal of English Education, Literature and Culture Vol 10, No 2 (2025): August 2025
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/e.10.2.254-270

Abstract

This descriptive quantitative study demonstrates that Task-Based Learning (TBL) significantly enhances the English-speaking proficiency of maritime cadets at Semarang Merchant Marine Polytechnic (SMMP). Through authentic shipboard training experiences, 30 final-year cadets showed a remarkable 16% improvement in English communication skills compared to the previous academic year. Assessment using Brown's techniques revealed robust performance in grammar (81, very good) and comprehension (79, good), with notable development in fluency (80, very good). While vocabulary (79, good) and pronunciation (78, good) showed positive results, these areas require additional focus. The instruments used in this study included recorded speaking tasks conducted during shipboard training, which were transcribed and scored using Brown’s (2004) speaking assessment rubric. Quantitative data were then analyzed using descriptive statistics to determine performance levels and identify skill-specific strengths and weaknesses. These findings highlight that integrating real-world maritime tasks with language learning creates sustainable English-speaking skills that directly enhance cadets' professional readiness. The study demonstrates that TBL effectively bridges the gap between classroom learning and industry requirements, making graduates more confident and competitive in global maritime employment.