Affective e-learning approaches, technology and implementation model: a systematic review

A systematic literature study including articles from 2016 to 2022 was done to evaluate the various approaches, technologies, and implementation models involved in measuring student engagement during learning. The review’s objective was to compile and analyze all studies that investigated how instructors can gauge students’ mental states while teaching and assess the most effective teaching methods. Additionally, it aims to extract and assess expanded methodologies from chosen research publications to offer suggestions and answers to researchers and practitioners. Planning, carrying out the analysis, and publishing the results have all received significant attention in the research approach. The study’s findings indicate that more needs to be done to evaluate student participation objectively and follow their development for improved academic performance. Physiological approaches should be given more support among the alternatives. While deep learning implementation models and contactless technology should interest more researchers. And, the recommender system should be integrated into e-learning system. Other approaches, technologies, and methodology articles, on the other hand, lacked authenticity in conveying student feeling

Understanding Lived Experiences of Stigma for People Living with HIV: A Community Based Participatory Research Study

The goal of this project was to better understand the experiences and impacts of HIV stigma and discrimination on people living with HIV and to co-create knowledge that has the potential to challenge existing stigma within the healthcare, social services, and public policy sectors in the province of Alberta, Canada. We employed community-based participatory research and a mixed methods design (survey methods and qualitative interviews) to address these questions. An online survey was completed by 148 people living with HIV and semi-structured interviews were conducted with an additional 20 participants. The research findings have been conceptualized within a social ecological model. The four main categories that emerged from the data included personal level factors attributed to HIV stigma, interpersonal factors related to HIV stigma, community factors related to HIV stigma, and HIV stigma in systems and institutions. Within each ecological domain we highlight the strengths and coping strategies people living with HIV identified in the study. Results will be of interest to health researchers and HIV service providers

Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media

Sarcasm and irony represent intricate linguistic forms in social media communication, demanding nuanced comprehension of context and tone. In this study, we propose an advanced natural language processing methodology utilizing long short-term memory with an attention mechanism (LSTM-AM) to achieve an impressive accuracy of 99.86% in detecting and interpreting sarcasm and irony within social media text. Our approach involves innovating novel deep learning models adept at capturing subtle cues, contextual dependencies, and sentiment shifts inherent in sarcastic or ironic statements. Furthermore, we explore the potential of transfer learning from extensive language models and integrating multimodal information, such as emojis and images, to heighten the precision of sarcasm and irony detection. Rigorous evaluation against benchmark datasets and real-world social media content showcases the efficacy of our proposed models. The outcomes of this research hold paramount significance, offering a substantial advancement in comprehending intricate language nuances in digital communication. These findings carry profound implications for sentiment analysis, opinion mining, and an enhanced understanding of social media dynamics

Performance and quality attributes of okra (Abelmoschus esculentus (L.) Moench) fruits grown under soil applied Zn‑fertilizer, green biomass and poultry manure

Field experiments were carried out in 2018 and 2019 cropping seasons at Landmark University Teaching and Research farm, Omu-Aran Kwara state, Nigeria, to determine the efect of soil applied Zn-fertilizer, Tithonia diversifolia (Ti), Chromolaena odorata (Ch) and poultry manure (PM) on the performance, yield, minerals and vitamins composition of okra fruits. Treatments were combined and tested as follows:—Control (T1), Control + 10 kg ­ha−1 Zn (T2), 5 t ha−1 Ti + 5 t ha−1 PM (T3), 5 t ha−1 Ch+ 5 t ha−1 PM (T4), 5 t ha−1 Ch+ 5 t ha−1 Ti (T5), 10 t ha−1 Ti + 0 kg ­ha−1 Zn (T6), 10 t ha−1 Ti + 10 kg ­ha−1 Zn (T7), 10 t ha−1 Ch+ 0 kg ­ha−1 Zn (T8), 10 t ha−1 Ch+ 10 kg ­ha−1 Zn (T9), 10 t ha−1 PM+ 0 kg ­ha−1 Zn (T10), and 10 t ha−1 PM+ 10 kg ­ha−1 Zn (T11). The experiment was laid out in a randomized complete block design with four repetitions. Vegetative, yield and quality parameters of okra were taken. Data were subjected to analysis of variance and means were compared using Duncan Multiple Range Test (DMRT) at p≤ 0.05. Variations were observed on the vegetative parameters, yield, minerals and vitamin composition of okra among the applied amendments. The combined application of green biomass, poultry manure, and Zn-fertilizer improved all the variables tested as compared to when they were applied singly. Application of Zn-fertilizer to some selected plots signifcantly increased yield, Zn, Mg and vitamins concentration of okra. Application of 5 t ha−1 Ti + 5 t ha−1 PM+ 10 kg ­ha−1 Zn (T3) and 5 t ha−1 Ch+ 5 t ha−1 PM+ 10 kg ­ha−1 Zn (T4) signifcantly improved all the parameters tested but the use of 5 t ha−1 Ti + 5 t ha−1 PM+ 10 kg ­ha−1 Zn (T3) resulted in optimum yield and at the same time increase minerals and vitamin concentration of okra. The results of this study therefore showed that Tithonia diversifolia (Ti) as green biomass contained and released more and quality nutrients than Chromolaena odorata (Ch) when combined with equal rate of Zn fertilizer and poultry manure