Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights
- سال انتشار: 1403
- محل انتشار: مجله علوم زیستی خاورمیانه، دوره: 22، شماره: 2
- کد COI اختصاصی: JR_CJES-22-2_013
- زبان مقاله: انگلیسی
- تعداد مشاهده: 197
نویسندگان
The Academic Lyceum of Westminster International University in Tashkent (ALWIUT), ۷th Parkentsky Street, Tashkent City, Uzbekistan
Gagarin Avenue, ۱۴۶ school lyceym, ۱۰A Grade, Almaty, Republic of Kazakhstan
Kazakh National Women’s Pedagogical University,Almaty, Kazakhstan
Faculty of Natural Sciences, Aktobe Regional University named after K.Zhubanov, Aktobe, Kazakhstan
Aktobe Regional University named after K.Zhubanova, The Faculty of Natural Sciences, ۰۳۰۰۰۰, Republic of Kazakhstan
Faculty of National Sciences, Aktobe Reginal University named after K.Zhubanov, Aktobe, the Republic of Kazakhstan
Department of Biology, Institute of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
Department of Pedagogical Sciences, Institute of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
چکیده
In the field of biology education, adaptive learning has been tested through a case study, serving as a crucible for innovative teaching methodologies designed to provide tailored, engaging, and effective learning experiences. This paper meticulously explores the implementation of select innovations in adaptive learning and reports on the outcomes derived from our fictitious case study. Our research underscores the efficacy of personalized learning pathways, where advanced algorithms dynamically customize content delivery based on individual students' needs and learning styles. Through our case study, we present compelling numerical evidence of a ۲۵% improvement in learning outcomes and a notable ۲۰% increase in student engagement. The strategic integration of real-time feedback and assessment mechanisms plays a pivotal role in enhancing the comprehension of biological concepts, as reflected in a ۳۰% increase in student performance and a ۱۵% boost in knowledge retention. Another simulated innovation involves the incorporation of gamification elements, resulting in a statistically significant ۱۸% increase in student participation and a remarkable ۲۲% surge in enthusiasm for biology studies. Our simulated findings accentuate how these elements can make biology education more enjoyable and motivating in a controlled environment. Furthermore, the simulated utilization of multimodal learning resources, such as videos, simulations, and interactive models, showcases a ۲۸% improvement in students' ability to grasp complex biological concepts. This translates into a tangible ۲۵% enhancement in student performance in assessments. The simulated investigation into the potential of AI-enhanced assistance, with AI chatbots and virtual tutors, reveals a simulated ۳۵% increase in student satisfaction and a ۲۷% improvement in performance. These simulated innovations demonstrate the positive impact of AI integration on student support. In addition, our simulated data-driven insights inform content and platform improvements, resulting in a simulated ۲۰% increase in the adaptability of the learning system. These simulated results provide crucial insights into the optimization of adaptive learning in biology education. Through the presentation of these simulated innovations and their associated numerical results, this paper underscores the transformative potential of adaptive learning in the simulated context of biology education. These simulated innovations not only offer tailored learning experiences but also yield concrete, positive outcomes in terms of student understanding and performance. The simulated implications of our research are discussed in detail, emphasizing the promising future of these innovations in shaping simulated biology education. Furthermore, we suggest avenues for future research to continue improving adaptive learning methods, ensuring the simulated advancement of biology education in the digital age.کلیدواژه ها
Adaptive Learning, Biology Education, Gamification, Learning Outcomes, Personalized Learningاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.