Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Indonesian Journal of Learning and Instruction

BIBLIOMETRIC ANALYSIS OF INQUIRY-BASED LEARNING MODELS IN BIOLOGY ONLINE EDUCATION FOR ENHANCING HIGHER-ORDER THINKING SKILLS (HOTS) FROM 2013 TO 2023 Lilis Lismaya; Arif Widyatmoko; Adi Nurcahyono
Indonesian Journal of Learning and Instruction Vol 7 No 2 (2024)
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ijli.v7i2.10992

Abstract

The rapid development of educational technology and increasing emphasis on Higher-Order Thinking Skills (HOTS) have made inquiry-based learning models in biology online education a crucial area of research. This study aims to analyze inquiry-based learning models in biology online learning using bibliometric analysis, focusing on publications from 2013 to 2023 sourced from the Google Scholar database. Out of an initial 298 articles, 53 relevant articles were identified and analyzed. The research methodology involved systematic stages, including keyword searches, refinement of results, data compilation, and analysis using tools like Microsoft Excel and VOSviewer software. The findings reveal that the number of publications on inquiry models in biology online learning fluctuates annually. Articles were categorized based on criteria such as the type of inquiry model (e.g., guided inquiry, free inquiry), variables studied, research locations, citation counts, HOTS components (e.g., critical thinking, problem-solving), types of online learning (e.g., interactive content, blended learning), and bibliometric visualizations. Notably, the study identified critical thinking and problem-solving as dominant HOTS aspects, while interactive content emerged as the most frequently used online learning type. The bibliometric visualization generated 14 thematic clusters, providing insights into research trends and gaps. This study offers valuable insights for researchers, educators, and policymakers interested in biology online learning. It highlights the potential for further exploration of underrepresented areas, such as decision-making and empirical research. The findings also serve as a guide for future studies to enhance the effectiveness of inquiry-based learning in fostering HOTS.Keywords: bibliometrics; biology; higher-order thinking skills; online learning. 
REVOLUTIONIZING BIOLOGY LEARNING THROUGH AR: THE CASE OF LEAFCAPTURE APPLICATION DEVELOPMENT Lismaya, Lilis; Nurlaelah, Ilah; Handayani, Handayani
Indonesian Journal of Learning and Instruction Vol. 7 No. 1 (2024)
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ijli.v7i1.9603

Abstract

This study aims to produce learning media in the form of a Leafcapture Identification Application Based on Augmented Reality (AR) in plant morphology courses with accuracy, user interface, and good content. The research method used in this study is Research and Development (R&D) with the The ADDIE approach involves a systematic process for designing learning media. In the Analyze stage, the focus is on identifying the need for new learning media, specifically the Leafcapture Identification Application Based on AR, and assessing its feasibility and requirements. In the Design stage, activities include application design, interface design, 3D image creation, and marker design. The Development stage involves gathering relevant content, such as plant leaf images and names, and setting up the application interface. During Implementation, the developed media is used and evaluated by experts and users to assess its impact on learning quality. Media experts validated the product with a 75% approval rating, while subject matter experts found it 88.89% valid. Evaluation was conducted by surveying students in plant morphology courses, with results confirming the product's effectiveness. Through AR, students can directly engage with three-dimensional (3D) models of various parts of plants, such as roots, stems, leaves, flowers, and fruits. They can manipulate and examine each part more deeply, enhancing their understanding of the relationships between parts and the functions of each component. Additionally, AR makes learning plant morphology more engaging and lifelike.Keywords: Augmented Reality; biology; Leafcapture identification.