Evaluating Teaching Skills: A Comparative Analysis of Attitudes with and without Prior School Teaching Experience
Authors-Dr. Pradip Das
Keyword-Attitude, Teaching Skill, School Teaching Experience, Teacher Training, Comparative Study
Abstract-This paper provides a structured comparison of attitudes towards teaching skills among individuals with varying levels of school teaching experience, utilizing both quantitative and qualitative data to offer a comprehensive analysis. This research paper investigates and compares attitudes towards teaching skills among individuals with and without school teaching experiences. By examining how prior teaching experience influences perceptions and approaches to teaching, this study provides valuable insights for teacher training programs and educational policies. The research employs both qualitative and quantitative methodologies, including surveys and interviews, to analyze factors such as confidence, efficacy, adaptability, and interpersonal skills. This study aims to compare the attitudes towards teaching skills of individuals with and without school teaching experience. Utilizing a mixed-methods approach, we gathered quantitative data through surveys and qualitative data through interviews to explore how prior teaching experience influences perceptions of teaching competency. Results indicate significant differences in self-assessed teaching skills between the two groups, with experienced teachers demonstrating higher confidence and proficiency in various pedagogical areas. These findings highlight the importance of practical teaching experience in developing effective teaching skills and suggest implications for teacher training programs.
The Effect of Dynamic Assessment on the Language of Extroverted Learners in the Field of Reading Ability in Virtual Education
Authors-Mehdi Esna Ashary
Keyword-Dynamic assessment, reading skill, virtual education, extroverted learners, introverted learners. Student learning network (SHAD).
Abstract-The look at researched the effect of dynamic assessment on extroverted college students reading capacity in virtual schooling. Forget entry to the goal, a group of male EFL beginner students (elderly among 14 and 15 years ) from the public school were decided on as the control of observation after holding a quick placement check and personal recognition. Take a look at a crowd of EFL beginners(n=80). All of them had been held studying checks because of the pretest and posttest to evaluate the scholars studying capability. Individuals were divided into two groups .The students within the experimental institution (extroverted students) were taught the analyzing capabilities through dynamic assessment through digital education, and control students inside the managed organization (introverted students) were taught analyzing abilities through dynamic assessment in virtual class. A quasi- experimental pretest and posttest became used. After2 weeks of observation, the scholars inside the experimental group cannot highly have an effect on the reading ability in virtual education.
Curriculum Exit Choice of Stem Graduates: A Tracer Study
Authors-Marlon Carlo T. Llamera
Keyword-K to 12 Curriculum exit, STEM graduates, Senior High School, alignment
Abstract-K to 12 Basic Education in the Philippines provides four curriculum exit choices to its graduates namely, higher education, middle-level skills development, employment, and entrepreneurship. The study explored the curriculum exit choices, and the influence of the strand on those choices, and evaluated the preparedness and performance in chosen curriculum exits of Science, Technology, and Engineering (STEM) Strand graduates. The descriptive research design was used in the study. The findings show that the majority pursued higher education courses aligned with their Senior High School (SHS) strands, highlighting the importance of informed decision-making during SHS education. Many graduates demonstrated moderate preparedness, while a notable fraction exhibited high performance in their chosen curriculum exits. Career flexibility was evident with graduates pursuing careers beyond their specific disciplines. The findings of the study necessitate that students carefully consider their academic pathway and specialization in senior high school, prioritize preparedness and strive for excellence in their chosen curriculum exit options and that future researchers conduct longitudinal studies to track STEM graduates career paths, providing valuable insights for curriculum effectiveness and informing policy decisions in STEM education and career pathways.
Raspberry PI Mini PC for Education And Productivity
Authors-Kamidi Vishnuvardhan Reddy, Mohammad Salman, Alluri Pravasi Reddy, Madasu Gopi Kumar, Assistant Professor Nenavath Chander
Keyword-Raspberry Pi boards, conventional peripherals, methodical process, hardware/software installation, power supplies, accessories integration, systematic methodology, OS configuration, installation optimization, customization, procedural complexities documentation, enthusiasts, educators, professionals empowerment, adaptable computing basis
Abstract-The objective is to furnish an economical remedy for an array of computational necessities. The controlling of Raspberry Pi boards alongside conventional peripherals and software, the attempt encompasses a methodical process of hardware, software installation, and configuration, entailing the fine-tuning and personalization of the operating system. The fabrication of the Raspberry Pi mini-PC involves the integration of readily available components such as the Raspberry Pi 4 Model B board, microSD card, power supplies, and optionally obtained accessories like the 5-inch Touch Screen Raspberry Pi Display, Keyboard, Mouse, and Cases. Employing a systematic methodology, the project envisions the comprehensive establishment and configuration of the Raspberry Pi operating system (be it Raspbian OS or Windows Operating System), encompassing the processes of installation, optimization, and customization tailored to precise requisites. Through careful documentation of the procedural complexities, this undertaking empowers enthusiasts, educators, and professionals alike to construct their Raspberry Pi mini-PC, thereby exhibiting its prowess across educational, recreational, and occupational arenas as an adaptable and potent computing basis.
Navigating the Linguistic Labyrinth: Challenges of Using Phrasal Verbs for L2 Learners
Authors-Innocent Nasuk Dajang, John Daber Gongse
Keyword-Acquisition, complex, culture, English, proficiency.
Abstract-The acquisition and usage of phrasal verbs present significant challenges for second language (L2) learners due to their complex and idiomatic nature. This paper explores these difficulties through a multifaceted analysis of the linguistic and cognitive obstacles that phrasal verbs pose to learners. The study examines the participants of the study which can lead to misunderstandings and misinterpretations. The paper delves into the learners competence levels and other issues affecting their ability to grasp phrasal verbs, which often affects their competence and performance in this area of English grammar. The paper also discusses the pedagogical approaches that have helped to facilitate the learners learning of phrasal verbs, such as contextual learning, teachers ability, corpora and technology-based tools. The research findings underscore the importance of innovative teaching strategies and continuous practice for L2 learners to effectively navigate the linguistic labyrinth of phrasal verbs. By identifying key challenges and potential solutions, this paper contributes valuable insights into the complexities of language acquisition and offers practical recommendations for educators and learners alike. Ultimately, it aims to enhance our understanding of the intricate relationship between language, culture, and cognition in the context of L2 learning.
Real-World Applications of Machine Learning
Authors-Kanduri Abhinay
Keyword-supervisor learning, supervisor learning, NLP (natural language processing), deep learning, reinforcement learning, machine learning , big data, random forest, Data analytics etc.
Abstract-Real-World Applications of Machine Learning serves as a comprehensive platform dedicated to showcasing innovative and impactful machine learning solutions in diverse sectors. As machine learning continues to revolutionize industries, this journal aims to bridge the gap between theoretical research and practical implementations. It focuses on the application of machine learning techniques in fields such as healthcare, finance, manufacturing, transportation, and more. By featuring cutting-edge research, case studies, and interdisciplinary collaborations, the journal provides insights into how machine learning algorithms are being deployed to solve complex real-world problems. Emphasis is placed on the challenges faced during implementation, including data management, algorithmic fairness, scalability, and integration with existing systems. Through rigorous peer review and expert analysis, Real-World Applications of Machine Learning aims to be an essential resource for practitioners, researchers, and policymakers who seek to understand and leverage the transformative power of machine learning in practice.