PEDAGOGICAL IMPACT OF MULTI SENSORY VIRTUAL REALITY SIMULATIONS ON HISTORICAL PERSPECTIVE TAKING AND SPATIAL UNDERSTANDING IN SECONDARY EDUCATION
The development of historical perspective-taking and spatial cognition has been a long-standing issue in secondary education, where traditional text-centred, lecture-based methods of study can hardly engage students in the complex historical environment. The paper under analysis explores the pedagogical effects of multi-sensory Virtual Reality (VR)...
By Shaxlo Xudaykulova, Ganisher Tagayev, Nozimakhon Yigitalieva, Murodjon Axmedov, Kamola Kudrat-Zoda, Ulug Tilloyev, Farrukh Saydullaev
INVESTIGATION INTO THE OPTIMAL THERMAL EFFICIENCY OF A POROUS MEDIUM INSIDE A DUCT CONTAINING GLASS BEADS
In the current experimental study, a rectangular channel packed with a porous medium is used to study the thermo-hydraulic performance of a forced convection air heater. In addition to heat transfer enhancement, various experimental setups (Works 1 to 4) have been used to investigate the combined effects of the disruption of the thermal boundary la...
By Mohammed Z. Hameed, Musa Weis Mustafa
HYBRID WHALE-GREY WOLF OPTIMIZER FOR ADAPTIVE CLUSTER HEAD SELECTION AND ENERGY CONSERVATION IN WIRELESS SENSOR NETWORKS
WSNs are critical to the contemporary IoT and monitoring, yet the energy constraint, inefficient performance of cluster head (CH) selection, and fluctuating routing diminish the network lifetime and reliability. This paper will introduce a solution to these issues by proposing a Hybrid Whale -Grey Wolf Optimizer (HWGWO) to select the adaptive and e...
By K. Chandrasekhar, G. Prabakaran, P. Dileep Kumar Reddy
HUMAN WELL-BEING, SYMBOLISM, AND ERGONOMIC ASPECTS OF ROCK ART AND NATURAL SHELTERS
Among the most important aspects of the cultural heritage of mankind, rock art and natural shelters have both aesthetic and practical purposes, as well as help to improve the psychological state, symbolic communication, and ergonomics. The paper examines rock art and natural shelters in three major frames, namely: (1) their symbolic and psychologic...
By Mehmet Sarıkahya, Serap Paçal, Ersan Sarikahya
HOUSEHOLD E-WASTE MANAGEMENT AND CIRCULAR ECONOMY PATHWAYS IN KERALA WITH FOCUS ON POLICY AWARENESS AND DISPOSAL BEHAVIOUR
Electronic waste (e-waste) is posing an increasing challenge to environmental sustainability and human health in India, especially among the digitalizing states such as Kerala. This study examines the household electronic waste generation, disposal, concerns, policy awareness, and opportunities of circular economy through surveying 150 households i...
By K.V. Nidhi Varghese, D. Mahila Vasanthi Thangam
QUANTUM-ENHANCED DEEP LEARNING MODEL FOR CROP–WEED CLASSIFICATION IN SORGHUM IMAGERY USING THE SORGHUM CROP WEED DATASET CLASSIFICATION
Classification of crops and weeds is an important aspect in precision agriculture, as it aids in providing a means for efficient weed control and reduced herbicide applications to achieve high crop productivity. In this paper, a quantum-classical hybrid deep learning approach is presented for accurate identification of crops and weeds from sorghum ...
By J. Justina Michael, Logeshwari Radhakrishnan, R. Radhika, P.L. Joseph Raj, M. Mahalakshmi
EVALUATION RATIO OF SHEET PILE LENGTH AND DISTANCE EFFECTS SEEPAGE BENEATH CONCRETE DAMS USING SOFTWARE
Seepage through concrete dams plays an important role in the stability of the foundations due to the fact that high uplift pressures and exit gradients can cause piping, erosion, and ultimately the collapse of the structure. This research focuses on the effect of the position and the depth of the sheet piles on seepage in concrete dams employing a ...
By Alaa Mohsin Dawood, Noor Hashim Abd Almunaf, Hawraa Khalid Hannon, Furqan Wahhab Abdulsada, Melak Haider Almosawy
SELF-ADAPTIVE COGNITIVE AI AGENT FRAMEWORK FOR PERSONALIZED ENGLISH SKILL DEVELOPMENT THROUGH CONTINUOUS LEARNER BEHAVIOUR MODELLING
The current teaching method of foreign languages is more and more adopting the method of using intelligent software to observe the learner's behavior and adapt teaching methods accordingly, but the teaching software currently used in the field of English learning still has many limitations such as relying on rigid rule sets or single-pass learning ...
By Zebo Botirova, Gulnoza Oybekova, Muzayyamkhon Zokirkhonova, Maftuna Rakhmatova, Feruza Erkulova, Rasulbek Ergashev
EMOTIONAL INTELLIGENCE AND HUMAN–AI COLLABORATION: A MULTILEVEL ANALYSIS OF EMPLOYEE CREATIVITY AND ADAPTIVE PERFORMANCE
Workplaces that are equipped with artificial intelligence (AI) technology have changed the relationship between technology and people at work and require knowledge about how the interaction between human competencies and the conditions of an organization impacts work. This paper examines the role of emotional intelligence and the ability to collabo...
By Tisha Tomy, R. Sheeja, V. Santhosh Kumar, Veera Shireesha Sangu, Ruben Anto Michael, Pavithra Srinivas
APPLICATION OF NEURO-SYMBOLIC KNOWLEDGE MINING FOR CUSTOMER BEHAVIOR ANALYSIS AND STRATEGIC CRM DECISION-MAKING
Rapid development of digital platforms has led to an abundance of data collected from customers, necessitating the use of intelligent methods that can be used to analyze behavior patterns and aid in making effective Customer Relationship Management (CRM) decisions. Current CRM artificial intelligence systems mainly aim at high prediction accuracy a...
By Reem Abdalla, H Niroshini Infantia