Instant Feedback Research Articles

Unlocking Potential: Harnessing Language Learning Apps to Support Young Learners with ADHD

This article explores the potential of language learning applications in supporting young learners with Attention Deficit Hyperactivity Disorder (ADHD). It highlights the challenges faced by this demographic in language acquisition, such as difficulty sustaining attention, impulsivity, and hyperactivity. The article emphasizes the importance of early intervention and tailored support in fostering language development in young learners with ADHD. Language learning applications offer benefits such as customizable pacing, engaging multimedia content, instant feedback, and gamification elements. Real-life case studies demonstrate the transformative impact of these apps on the language acquisition journey. Design considerations for ADHD-friendly apps include a simplified user interface, clear instructions, visual aids, structured routines, multisensory elements, rewards, and positive reinforcement. Practical strategies for parents and educators include collaborative learning, realistic goal-setting, progress monitoring, and consistent usage routines. Success stories and testimonials highlight the real-world impact of language learning apps in supporting young learners with ADHD.

Exploring the use of ChatGPT in learning and instructing statistics and data analytics

AbstractGenerative artificial intelligence (AI) has shown the potential to reshape the world and redefine daily workflows. One specific instance of generative AI, ChatGPT, specializes in understanding natural language and generating human‐like conversational text. Its free access, user‐friendly interface, and instant feedback have propelled its popularity within and beyond education. Given its extensive knowledge of traditional statistics and contemporary data science, it can be considered for integration into modern statistics education. However, there have been ongoing questions and serious concerns regarding the accuracy and accountability of the responses generated by ChatGPT. This study explores ChatGPT's capabilities in addressing conceptual problems, implementing analytical techniques, and facilitating teaching while considering its disadvantages and ongoing development. With continued practice and deeper insights into this novel technology, its benefits can be cautiously leveraged in teaching and learning activities.

Learning by playing with generative AI: design and evaluation of a role-playing educational game with generative AI as scaffolding for instant feedback interaction

In this study, an online contextualized educational game was designed to provide interactive simulated dialogues using generative AI scaffolding (using ChatPDF) in a contextualized game as scaffolding for immediate feedback, where learners can access guides and explore knowledge. This study analyzed learners’ behaviors while performing AI prompting in the interactive scaffolding, as well as learners’ psychological responses. A total of 59 students participated in this study. The results of the study showed that learners had significantly high flow and low activity anxiety in the game tasks, while game feedback and scaffolding usefulness had significant effects on learning aids. The generative AI instant feedback interactive scaffolding had a certain high percentage of direct answers or indirect suggestions, which is suitable for interactive scaffolding.

ИСПОЛЬЗОВАНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ПОДГОТОВКЕ СТУДЕНТОВ МЕДИЦИНСКОГО ВУЗА

The article examines the possibility of using artificial intelligence in the professional language education of medical students. The aim of the study was to determine the advantages and disadvantages of using artificial intelligence in teaching foreign languages to medical students. Based on the contextual methodological approach, methods of theoretical analysis and summarization of scientific literature on the study problem were used, as well as empirical methods including pedagogical observation and analysis of the author's own experience. The study confirmed the potential value of using artificial intelligence in the education of medical students. Key advantages of artificial intelligence were identified, such as the possibility to organize personalized learning, instant feedback, and access to a large amount of data. The noted disadvantages were the need to adapt artificial intelligence systems to the specificity of the medical field and to develop systems for forming complex skills and abilities, such as empathy, etc. Student opinions were assessed through a survey in which 110 students of Ryazan State Medical University participated. The majority of respondents expressed a positive attitude towards the conducted experiment and expressed a desire to use artificial intelligence not only in language education but also in other medical disciplines to improve the level of knowledge and create an interactive and more attractive educational environment. The study emphasizes the high significance of integrating artificial intelligence technologies into the educational process to improve the quality of medical education and prepare future specialists. Currently, there is a need for collaboration between education specialists and artificial intelligence technology developers for more effective use of artificial intelligence in the field of education.

A Review on Real Time Patient Health Monitoring System Using Cloud Technology

Abstract: The rising demand for advanced healthcare solutions has driven the development of innovative technologies aimed at improving patient care. This project introduces a Real-Time Patient Health Monitoring System, which utilizes cloud technology to its full potential. By incorporating cloud infrastructure, data science, and real-time analytics, the system offers continuous monitoring and analysis of crucial health metrics such as SpO2, temperature, and pulse rate. Designed with wearability in mind, the system's architecture ensures uninterrupted monitoring and instant feedback for both patients and healthcare professionals. Cloud technology enables seamless data storage, retrieval, and real-time analysis, thereby providing comprehensive insights into a patient's health status. The project's scalability guarantees its suitability for various healthcare environments, rendering it a versatile tool for hospitals, clinics, and remote healthcare scenarios.

Exploring the Opportunities of Implementing Artificial Intelligence (AI) Technology for Teaching Arabic to Non-Native Speakers: A Theoretical Approach

Language is a tool through which humans exchange their ideas and thoughts among themselves. It helps humans express their feelings and needs. Because of the global pervasion of Islam, the Arabic language unites Arabs and non-Arab Muslims under one religion. In Islamic perception, the Arabic language holds vital importance in Muslims' lives. Thus, Muslims consider learning and teaching Arabic in their day-to-day lives. Learning Arabic presents several challenges due to its complex grammar, diverse dialects, unfamiliar script, and significant differences from many other languages in terms of structure and vocabulary. These difficulties can make learning the language a demanding task for learners. This research aims to explore the importance of learning and teaching the Arabic language in the contemporary world, examine theoretical frameworks for incorporating AI in teaching Arabic to non-native speakers, and evaluate existing AI tools for it. The methodology adopted is qualitative. Primary and secondary data were collected. This research concludes that Arabic, as a language, is deeply intertwined with Islamic religious and cultural heritage, while also serving as a vital means of global communication. Teaching Arabic to non-native speakers poses unique challenges, but the implementing of AI technology offers promising solutions. AI enables personalized learning experiences, instant feedback, and diverse learning tools, ranging from text generation to virtual reality, enhancing language acquisition. By combining AI with traditional teaching methods, educators can address these challenges and maximize learning outcomes, ultimately shaping the future of Arabic language teaching to be more accessible, effective, and engaging worldwide.

Evaluating the efficacy of Kahoot as a computer-assisted language learning tool in higher education

This study aimed to analyse the effectiveness of using the computer tool Kahoot for foreign language learning in higher education, as well as to address the problem of students' lack of motivation in learning English. This study hypothesised that using the Kahoot app in foreign language classes would improve students' motivation through its engaging approach. To test this hypothesis, a survey was conducted among students who had studied English using this tool. The results showed that students who used the Kahoot app in the classroom were significantly more motivated to learn English. This was made possible by the app's ability to vary the learning tool depending on the needs of the students, which encouraged their active participation in the learning process. The effectiveness of Kahoot as a tool in higher education for learning foreign languages is promising. Its engaging and interactive format, instant feedback, and collaborative learning opportunities make it a valuable tool for enhancing language learning. However, it is important for teachers to be aware of its limitations and complement it with other activities to ensure comprehensive language development. Overall, Kahoot can be a valuable addition to the language learning toolkit in higher education.

Challenges to Utilization of Online Learning: A Study on First-Year Nursing Students at Selected KMTC Campuses

Technological advancements play a pivotal role in reshaping traditional learning paradigms. The COVID-19 pandemic disrupted teaching in Kenya’s learning institutions, especially in medical schools, like Kenya medical training college (KMTC). Due to safety, face-to-face classes had to be suspended. Online learning tools played a crucial role during the pandemic; but in developing countries like Kenya, technological, educational/literacy background, and socioeconomic challenges existed that could be a hindrance to the adoption and utilization of online learning process. The purpose of this study was to identify challenges to online learning from the perspective of student nurses (March and September 2020 classes) at Kenya Medical Training College. The study objectives were to assess student-related, technological and institutional challenges to the utilization of online learning. A descriptive, cross-sectional design was utilised in the study. Structured questionnaires were used to collect data from sampled March and September 2020 class student nurses who undertook online classes. The respondents were 272 first-year diploma student nurses from March and September 2020 classes sampled from eight selected campuses in the Western, Nyanza, and North Rift regions of Kenya. Collected data was analysed using the Statistical Package for Social Sciences (SPSS) version 20 computer software. Descriptive statistics included proportions, and frequencies, while results were presented in the form of graphs and tables. Ethical issues were observed by ensuring confidentiality and anonymity, and permission was sought prior to data collection. Study findings revealed the existence of challenges to the utilization of online learning by students at KMTC. Student-related challenges included knowledge gap on the use of internet infrastructure (38.8%), not owning E-learning devices (9.6%), and inadequate utilization of online learning at home setting due to disruptions, limited space, and competing tasks (88.2%). On technological challenges, 70% of respondents owned gadgets that were incompatible with the media that was being utilised for e-learning, hence couldn’t log in for the sessions. Frequent internet instability was experienced by 54.4% of students. 58.8% stated having slow internet connectivity that affected timely logging in for sessions. On institutional challenges, 55.5% of students stated inadequate preparation for online learning by the institutions, and lack of orientation. 92.6% of respondents indicated preference for face-to-face mode of learning to E-learning, citing reasons like poor communication between students and lecturers, interruption of online classes due to poor network, inconsistent data bundles, and lack of instant feedback and supervision by lecturers. In conclusion, great importance was attached to needs assessment survey for students and lecturers on all campuses to identify these challenges to enhance the adoption of the teaching model

Integration of Wearable Sensors and Electrical Muscle Stimulation in Lower Limb Robotics for Gait Rehabilitation

Combining wearing devices with electrical muscle stimulation (EMS) in robotic lower limbs has shown promise in helping people learn how to walk again. This new method blends the benefits of smart technology and EMS to help people with neurological or joint problems improve their motor function and walking patterns. Wearable devices, like inertial measurement units (IMUs) and electromyography (EMG) monitors, record information about how the body moves and what muscles are doing while the person moves. These monitors give the user and the therapy team feedback in real time, which makes it possible for personalized and flexible recovery plans. Data from personal monitors can also be used to look at how people walk and see how they're doing over time. EMS is used to target certain muscles and make them stronger, more coordinated, and easier to control. By combining EMS with robots for the lower limbs, therapists can focus on certain muscle groups and make recovery routines more successful. EMS can also be timed to move with the robotic suit to help the person walk in a more natural and useful way. Wearable sensors and EMS work well together in lower limb robots for many reasons. EMS therapy can be made more specific and flexible because wearing monitors let doctors change the frequency and strength of the therapy in real time. The person is also encouraged to be more involved with this method because they get instant feedback on their actions and can see how they're doing over time. The combining wearing sensors and EMS in lower limb robots has a lot of promise to make gait therapy work better. Future study should focus on finding the best ways to combine these tools and looking at how they affect the quality of life and ability to walk for people who have movement problems in the long run.

HUMAN POSE ESTIMATION

In "Human Pose Estimation" with integrated feedback mechanisms to assess and guide users in achieving correct poses. Utilizing advanced deep learning techniques in computer vision, the system swiftly detects key points on the human body and provides instant feedback on pose accuracy. Built on convolutional neural networks trained on extensive pose datasets, the system includes pose detection, classification, and feedback stages. By comparing detected poses with predefined correct poses, the system delivers positive feedback for accurate poses and corrective guidance for deviations. Key Words: Human Pose Estimation, Pose Detection, Pose Classification, Correct Pose Assessment, Fitness Training, Key Points Detection, Correct Pose Thresholds

Teaching mathematics in an EFL context at higher education; before, during and after the COVID-19 pandemic: a comparative study

Teaching mathematics in an EFL context at higher education; before, during and after the COVID-19 pandemic: a comparative study

AI Application in Foreign Language Literature: ChatGPT's Impact and Skill Enhancement

This study investigates the prospective of incorporating input hypothesis, output hypothesis, interaction hypothesis and metacognitive theory into the best practices of ChatGPT in foreign literature. The study used an online survey involving 146 Chinese internet users to examine opinions on the use of ChatGPT for foreign literature analysis and tasks. Specific skills enhanced by AI integration, such as critical thinking, nuanced comprehension, and advanced linguistic proficiency in foreign languages are discussed in the research. However, there were concerns about its ethical implications when used for literary purposes because it may lead to biases, wrong information and risks which include plagiarism. During the application of ChatGPT, it was emphasized that comprehensible input is crucial to ensure that AI provided content is both understandable and suitable to learners’ current proficiency level. Moreover, learners are encouraged to actively utilize ChatGPT as feedback as well as correction tool. Furthermore, this research allowed learners to engage in live communication through using ChatGPT as a speaking partner thereby negotiating meaning and getting instant feedback to support interaction hypothesis (IH). Underpinned by metacognitive theory, instructing learners to reflect on their learning process with the help of ChatGPT involves identifying areas of difficulty and seeking specific assistance, for example, learners may ask about linguistic doubts from chat GTP or test their understanding about certain concepts or vocabulary using it. In order to effectively integrate these hypotheses with metacognitive theories, interactive chat GPTs were designed which required learners’ involvement in comprehensible input generation of language, output meaningful interactions and reflection on learning process; reading or listening to foreign language content (input), responding or creating content (output), engaging in conversation (interaction) tasks are assessed for their comprehension and performance levels (metacognition).

Activation of the Victim’s Role in Pre-trial Proceedings: Remote Forms of Participation

The article discusses the issues of activating the role of the victim in pre-trial proceedings as part of the implementation of the “minimum standard rules for the treatment of victims of crimes and abuse of power”. Since active participation in the investigation of a criminal case increases the level of satisfaction of the victim with the justice system, it is proposed to expand the relevant procedural possibilities, while not shifting the burden of proof to him. The beginning of the victim’s interaction with law enforcement agencies should be his participation in the inspection of the scene of the incident. The author proposes to provide the victim with the opportunity to participate in this investigative action remotely, using video conferencing. This will not only increase the level of confidence of the victim in law enforcement agencies, but also provide instant feedback between the investigative task force and the victim of the crime, allowing to correctly determine the direction of the ongoing investigation. The article notes that the victim acquires the full range of procedural rights from the moment the relevant decision is made. The author believes that the victim should be able to immediately familiarize himself with this document, as well as receive other information on the criminal case both personally and remotely, using information and communication technologies. It is noted that it is necessary to organize pre-trial proceedings in accordance with the needs of the victim, giving him the opportunity to choose the form of participation (in person or remotely), as well as the use of a personal digital device to participate in investigative actions through video conferencing. It is proposed to amend the legislation allowing the use of household messengers in the production of remote investigative actions, or the creation of an electronic service on the mobile platform of public services for video conferencing with government agencies.

The impact of ChatGPT in the field of education

The impact of ChatGPT in the field of education has been transformative, revolutionizing the way students access information and engage in learning. This AI-powered chatbot has proven to be a valuable tool for personalized tutoring, instant feedback, and enhancing overall educational experiences. Nonetheless, the efficacy of ChatGPT also gives rise to several implicit challenges. This paper examines the impact of ChatGPT in the field of education. It explores the methods and implications of using ChatGPT in education, focusing on accessible learning, personalized experiences, and affordability. Additionally, it addresses concerns related to plagiarism and the diminishing role of human interaction, while emphasizing the need to practice social skills. The study highlights the limitations of ChatGPT, including its lack of human interaction, mechanized answers, inaccuracies, and suitability for specialized subjects. The analyzation has been split to these aspects: Educational Advantage, Impact on Educational authority and authenticity, and limitations. Finally, this paper provides an outlook on the popular topics and prospects of the research subject.

Integration of traditional and digital educational technologies: points of contact and differences in teaching a foreign language

Relevance. The use of digital educational technologies can lead to more effective and interactive learning, offering new opportunities for teachers and students. In light of the introduction of digital technologies in education, the Government of the Republic of Uzbekistan is actively developing new initiatives, issuing decrees and resolutions, which emphasizes the importance of carefully studying the integration of traditional and digital teaching methods in the country's educational system.Purpose. Thus, the purpose of the current article is to identify common ground and differences between traditional and digital educational technologies in teaching a foreign language in order to create the most effective educational model.Methodology. The methodology of scientific work is based on analysis and synthesis, as well as comparison.Results. The results of the work showed that, in the modern world, knowledge of a foreign language is necessary, and understanding how best to use existing educational resources in the process of teaching languages is crucial for both self-study and for private teachers and educational institutions. While digital technologies offer several benefits, including increased access to education, instant feedback, and personalization of learning paths, traditional methods still retain their value in creating and implementing the educational process. The study shows that the most optimal educational model is a balanced approach that combines the strengths of both traditional and digital technologies. Understanding the common ground and differences between the analysed technologies makes it possible to create a more effective and attractive learning environment, which ultimately increases the educational level, improves the quality of foreign language proficiency.Conclusions. The study acts as an additional tool for studying the current issue, for developing curricula and teaching methods for foreign languages, which optimize the learning of languages in the digital age, thus determining the significance of the results obtained.

ChatGPT, a partnering tool to improve ESL learners’ speaking skills: Case study in a Public University, Malaysia

The emergence of ChatGPT, an OpenAI chatbot, has revolutionised our education system to a new phase. It is an innovative approach to future learning, including in the English as a Second Language (ESL) classroom. Since its inception, ChatGPT has been remarkably used by most educators and learners. Nevertheless, its application in the flipped classroom, especially in enhancing ESL learners’ speaking skills, is notably an innovative and novel phenomenon. Besides, educators’ challenges in giving instant feedback to learners and creating an engaging learning environment in the flipped classroom emerged as a crucial consideration. Therefore, this study aims to investigate the effectiveness of ChatGPT as a partnering tool in developing ESL learners’ speaking skills in the flipped classroom setting in a Malaysian public university. This study also scrutinises ESL learners’ challenges in using ChatGPT to develop speaking skills. The researchers employ a mixed-method design incorporating a five-point Likert scale questionnaire and focus group interviews. The quantitative data was analysed using descriptive statistics, while the qualitative data was analysed through thematic analysis. The findings of this study offer significant implications for various stakeholders in the educational industry. Policymakers, course designers, educators, learners, and even the Ministry of Education will obtain valuable insights, especially in decision-making, innovative teaching approaches, and learners’ speaking abilities in the ESL flipped classroom.

The Mechanism of The Arithmetic Logic Unit

The Arithmetic Logic Unit is widely used in electrical components nowadays such as the CPU in computers. The traditional research is based on the theory of a combination of multiple logic units, the results are not performed intuitional. This paper provides an introduction to the Arithmetic Logic Unit and its mechanisms, which consist of multiple logic gates to perform binary operations and send commands to the computer. The article discusses binary operations using logic gates, starting from the simplest one-bit half-adder to the more complex four-bit ALU, encompassing functions like addition, subtraction, division, and multiplication. The simulation module is used to justify the mechanism of the ALU. This research provides a new method in the process of developing the ALU, may largely increases the productivity. The approach may be used in the research and development of computer performance, providing visual, instant feedback and reducing the cost.

An In-Depth Review of ChatGPT’s Pros and Cons for Learning and Teaching in Education

As technology progresses, there has been an increasing interest in using Chatbot GPT (Generative Pre-trained Transformer) in education. Chatbot GPT, or ChatGPT, gained one million users within the first week of launching in November 2022 and had amassed over 100 million active users by February 2023. This type of artificial intelligence uses natural language processing to convert it into a user. This paper presents a comprehensive analysis and review of 34 articles published on ChatGPT and its potential impact on education by utilizing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. This review analyzed various studies and articles to examine the strengths and limitations of GPT language models in education from 2018 to the present. The advantages of ChatGPT include its capacity to provide personalized and adaptive learning, instant feedback, and improved accessibility. However, there are potential drawbacks, such as the lack of emotional intelligence, the risk of overreliance on technology, and privacy concerns. This review suggests that ChatGPT has significant promise for education yet reinforces the necessity for further research and careful consideration of possible risks and limitations. Specifically, it pointed out potential invisible manipulations by instructing ChatGPT to answer educationrelated topics. The paper concludes by discussing the implications of ChatGPT for the future of education and emphasizing the need for further research in this field.

Improving English Pronunciation with AI Speech-Recognition Technology

This study explores the use of AI technology in the Google Read Along application as a tool to improve English pronunciation, particularly for students who struggle with English pronunciation. Therefore, the purpose of this study is to evaluate the Google Read Along app's effectiveness in improving English pronunciation, analyze the students' responses to using Google Read Along, and discover the factors that help students succeed in improving their pronunciation. Read Aloud is used in conjunction with AI technology to help children learn by listening to and precisely repeating new words and phrases. A quasi-experimental method was used to collect data, with 35 students in the experimental group and 35 in the control group. A questionnaire was presented to the experimental group regarding how they responded to Google Read Along, and interviews were conducted as further information to identify the factors affecting their pronunciation improvement. The results of the N-Gain test show that the Google Read Along is efficient in helping students improve their English pronunciation when used in combined with the Read Aloud approach by an average of 65.73 percent. As a result, a teaching strategy that combines the Read Aloud method and AI Google Read Along can be an effective alternative. Additionally, the instant feedback offered by this application gives students a chance to recognize their errors directly, and the convenience of using the application for learning anytime anywhere has a significant impact on their success in improving their pronunciation.

Enabling Education Everywhere: How artificial intelligence empowers ubiquitous and lifelong learning

This article explores the complex interplay between Artificial Intelligence (AI), ubiquitous learning, and lifelong learning. Drawing upon in-depth analysis of pertinent literature, it elucidates the ways in which AI can bolster ubiquitous and lifelong learning in terms of personalized learning, continuous accessibility, adaptive content delivery, instant feedback and assessment, Natural Language Processing, data-driven insights, assistance and support, personal learning assistants, tailored learning resources and efficient time management. It also highlights the pre-requisite of harnessing AI for the purpose of ubiquitous learning, and lifelong learning. In the future, AI is anticipated to become the cornerstone of education systems across all levels.