Adaptive Teaching/Learning

Srinivasa, K. G.; Kurni, Muralidhar; Saritha, Kuppala

doi:10.1007/978-981-19-6734-4_9

Cited by 4 publications

(2 citation statements)

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“…Adaptive Learning Systems [43] are a category of educational technology that harnesses the power of artificial intelligence and data analytics to tailor learning experiences to individual students' needs and capabilities [44]. These systems are designed to provide personalized instruction, enabling students to learn at their own pace, in a way that suits their unique learning styles, and addressing their specific strengths and weaknesses [45].…”

Section: Adaptive Learning Systemsmentioning

confidence: 99%

AI in Educational Technology

Zhao

2023

Preprint

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This article focuses on artificial intelligence in educational technology, starting with an introduction to educational technology, an interdisciplinary field of study that covers the design, development, utilization, and evaluation of technology and digital tools in educational Settings. A detailed description of its definition in an academic context - a multidisciplinary field of computer science and cognitive science that deals with the development of computational systems that exhibit intelligent behaviour, describing its areas of coverage and scope of application. It then introduces the benefits of AI in education technology, specifically addressing personalized learning, adaptive learning systems, automated scoring and feedback, virtual tutors and chatbots, data analytics, as well as content recommendations and natural language processing, accessibility and inclusion. Then it introduces the main concepts of AI personalized learning: AI personalized learning uses the power of artificial intelligence to meet the unique needs and preferences of individual learners, as well as its key principles and main characteristics. Adaptive learning systems harness the power of artificial intelligence and data analytics to tailor the learning experience to each student's needs and abilities, as well as its core principles and strengths. It also introduces the main operating principles of automated grading and feedback: it uses artificial intelligence and computer algorithms to evaluate and evaluate student assignments, tests and exams without the direct involvement of human graders, and its associated benefits. Secondly, the main concepts of virtual tutor are introduced: Virtual tutor is a computer-based system that uses artificial intelligence and machine learning algorithms to provide students with personalized and interactive educational support and its key characteristics and main advantages, and then the nature and benefits of chatbots and help in the field of education. The final conclusion summarizes the benefits and future challenges of integrating AI into educational technology.

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Section: Adaptive Learning Systemsmentioning

confidence: 99%

AI in Educational Technology

Zhao

2023

Preprint

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“…Recent studies, such as those by (Frusci, 2019) confirm that memorization dominates Social Studies learning, with little emphasis on understanding or critical thinking. However, the didactic method offers a potential solution by allowing teachers to employ various strategies to captivate students' attention and foster a conducive learning environment (Srinivasa et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Teaching Social Studies Through Didactic Method for Enhancing Students’ Academic Performance: A subject-specific perspective

Iqbal,

Kazmi

2024

jsom

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Pedagogies of teaching are considered major support in the field of education as they offer a proper background for active teaching-learning practices and accelerate the achievement of educational outcomes. The purpose of this study was to assess how didactic teaching methods affected the academic performance of social studies students. This study aims to evaluate the efficacy of different teaching methodologies with standard instructional approaches through a quantitative experimental design that emphasizes experiential learning and activity-based learning. An experimental group of thirty students, exposed to didactic tactics for a predetermined period, was separated from the control group of thirty pupils from a private school. To assess both groups' academic performance before and during the intervention, the study used a pre-test and post-test design. The pre-test results were used as a starting point to evaluate the students' social studies knowledge and comprehension, and the post-test results revealed the academic improvements linked to the didactic teaching strategies. The results showed a substantial variation in the kids' academic performance, with the experimental group seeing an astounding 49% increase in post-test scores above pre-test results. This significant rise demonstrates how well didactic tactics work to improve student knowledge, retention, and engagement with the material. The fact that the control group, which was instructed using conventional methods, did not show a comparable degree of progress highlights the advantages of the didactic approach.

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Navigating Change in Education 5.0

Tsarkos

2024

Teaching and Assessment in the Era of Education 5.0

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This chapter delves into the imperative shift towards Education 5.0, emphasizing the symbiotic integration of digital technologies within educational frameworks to cultivate a comprehensive learning ecosystem. It introduces a phased change management model designed for the successful digital transformation of educational institutions, delineating stages of preparation, planning, execution, and consolidation. This model tackles prevalent challenges such as resistance to change and the digital divide, proposing actionable strategies for their mitigation. It also forecasts future educational trends, including the utilization of AI and VR, to personalize and enrich learning. Providing a detailed blueprint, the narrative equips educational leaders with a structured approach to navigate digital transformation intricacies, fostering an environment of continuous improvement and collaborative engagement towards an inclusive, adaptive, and technologically advanced educational paradigm.

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Adaptive Teaching/Learning

Cited by 4 publications

References 1 publication

AI in Educational Technology

AI in Educational Technology

Effectiveness of Teaching Social Studies Through Didactic Method for Enhancing Students’ Academic Performance: A subject-specific perspective

Navigating Change in Education 5.0

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