Vrapi, Asllan
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Implementation of virtual reality to enhance spatial abilities: a study on aspects, effects, and differences in participants' initial ability levels Pahmi, Samsul; Vrapi, Asllan; Supriyadi, Edi
International Journal of Didactic Mathematics in Distance Education Vol. 1 No. 2 (2024): ijdmde
Publisher : Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/ijdmde.v1i2.9108

Abstract

The rapid advancement of Virtual Reality (VR) technology presents a timely opportunity to enhance spatial abilities—skills fundamental to success in various educational and professional domains. This study addresses the urgent need to understand how VR can be effectively utilized in educational contexts to support spatial skill development. Employing a Systematic Literature Review (SLR) methodology, this research synthesizes findings from 26 peer-reviewed studies published between 2013 and 2022, sourced from Scopus, ScienceDirect, and SAGE Journals. The objectives are threefold: (1) to assess the effectiveness of VR in improving spatial abilities, (2) to identify at least three key factors influencing VR’s impact, and (3) to examine how initial spatial ability levels affect learning outcomes. The findings reveal that VR significantly enhances spatial skills, particularly mental rotation, and is most beneficial for learners with initially low spatial ability. Furthermore, three primary factors affecting VR effectiveness are identified: the level of interactivity, task alignment with learning objectives, and user immersion. From an affective perspective, VR also increases learner motivation and engagement, driven by its immersive and realistic environment. This research contributes to the growing body of knowledge on educational technology by offering evidence-based insights into the conditions under which VR can be most effective. The findings hold practical implications for educators, curriculum designers, and technology developers aiming to design targeted interventions for spatial skill development using VR.
Analyzing the Mathematical Literacy of Indonesian Students: Characteristics, Challenges, and Technology-Enhanced Solutions Muhaimin, Lukman Hakim; Vrapi, Asllan; Anggraeni, Peni; Abadi, Ma'ulfi Kharis; Kholid, Muhammad Noor; Dewi, Deshinta A
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2494

Abstract

Purpose of the study: This study aims to uncover the characteristics of Indonesian students' mathematical literacy, the challenges they face in solving mathematical problems, and to propose effective solutions, including technology-enhanced interventions, for improvement. Methodology: This study uses a qualitative phenomenological approach to explore students’ experiences in mathematical literacy. Data were collected through AKM-based algebra tasks, interviews, and observations involving three purposively selected middle school students. Method triangulation ensured validity, while digital tools, including audio recording and NVivo software, supported systematic qualitative data coding and analysis. Main Findings: The findings indicate that students’ incorrect answers often arise from difficulties in identifying key problem elements. This misidentification triggers cascading errors across subsequent problem-solving steps, creating a domino effect. Analysis revealed distinct patterns in communication, mathematization, representation, problem-solving strategies, symbolic operations, and reasoning. These patterned error trajectories align well with digital logging, automated analysis, and real-time feedback, enabling direct application in designing digital assessment platforms, intelligent tutoring systems, and learning analytics dashboards to diagnose learning breakdowns. Novelty/Originality of this study: This study uniquely bridges qualitative phenomenological analysis with concrete technological design, systematically translating error patterns into detection algorithms, scaffolding rules, and dashboard specifications. Unlike prior research that either describes difficulties or proposes technology, we explicitly operationalize how intelligent systems can detect and respond to cascading error patterns in real time. The result is a contextually grounded framework for AKM-aligned technology implementation tailored to Indonesian educational realities, including infrastructure constraints and teacher capacity.