Efficient Learning Environment Research Articles

Enhancing Fiqh learning outcomes through artificial intelligence applications at Sekolah Indonesia Johor Bahru

Artificial Intelligence (AI) has rapidly emerged as a transformative force in education, offering innovative solutions to enhance learning and teaching processes. This technology is revolutionising traditional educational methods by enabling more efficient, accessible, and engaging learning environments. This study aims to evaluate the impact of AI on Fiqh education at Sekolah Indonesia Johor Bahru (SIJB), reflecting the technological advancements of the Fourth Industrial Revolution. The research employs a quantitative quasi-experimental design, involving 73 students, to assess the effectiveness of AI tools in enhancing Fiqh learning outcomes. Pre-test and post-test data were analysed using the Wilcoxon Signed-Rank Test to measure the effect of AI-based interventions on student performance. The results indicate positive effects of AI-based learning methods on students in Fiqh education. Additionally, a four-point Likert scale questionnaire was used to assess students' perceptions of the ease of use of AI tools, their understanding, and the impact of these tools on learning. The study concludes that the integration of AI tools in Fiqh education at Sekolah Indonesia Johor Bahru significantly enhances students' knowledge and learning outcomes. The implications of these findings suggest that AI can be effectively integrated into Fiqh learning to foster a more engaging and efficient learning environment, ultimately improving student performance and understanding.

Harnessing Generative AI (GenAI) for Automated Feedback in Higher Education: A Systematic Review

In this systematic review, we synthesize ten empirical peer-reviewed articles published between 2019 and 2023 that used generative artificial intelligence (GenAI) for automated feedback in higher education. There are significant opportunities and challenges to integrate these tools effectively into learning environments as the demand for timely and personalized feedback grows. We examine the articles based on instructional contexts and system characteristics, identifying critical implementation possibilities for GenAI in automated feedback. Our findings reveal that GenAI provides diverse feedback across various contexts with multiple instructional purposes. GenAI systems can reduce instructor workload by automating routine grading and feedback tasks, allowing educators to focus on more complex teaching responsibilities with augmented capabilities. Additionally, these systems enhance communication, offer cognitive and emotional support, and improve accessibility by creating supportive, stress-free learning environments. Overall, implementing GenAI automated feedback systems improves educational outcomes and creates a more efficient and supportive learning environment for students and instructors. We conclude with future research directions to better integrate GenAI with human instruction by reconsidering instructors’ roles, especially in providing feedback to create more effective educational experiences.

Contribution to School Design through Assessment of Corridor Conditions in Foundation Schools in Erbil, Iraq

School buildings are essential in catering to children’s psychological and educational needs. They enable children to learn, teach, play, and interact with peers. The corridor space within a school’s structure is also significant, serving multiple purposes. The community in Erbil, Iraq, has expressed concerns about the economic challenges of constructing and designing new school buildings. Therefore, this research aimed to identify unused spaces in these corridors to ensure usability and flexibility while reducing the cost of building construction. A comprehensive approach was taken to achieve this, employing both qualitative and quantitative analysis techniques. The qualitative analysis was conducted through surveys and documentation to provide an intense understanding of the issues. This research employed two distinct quantitative methods: first, the study used the Revit engineering software to compare the circulation ratio of pre-existing buildings with that recommended by the BB 103 guidelines, and second, student feedback was collected through a questionnaire to provide a holistic view of the situation. This study found that the built-up corridor area in the L-shaped school accounted for 34% of the total area, 11.5 percentage points more than the BB 103 guideline. Meanwhile, the built-up corridor area in the O-shaped school was 20.5 percentage points higher than the recommendation. According to the student feedback, the extra corridor space in the selected schools is not being efficiently utilized. Therefore, the proposed redesigns for the L-shaped and O-shaped schools focus on eliminating traditional corridors and integrating outdoor spaces to create functional areas, enhancing natural lighting and ventilation. These redesigned concepts ensure cost-effective, adaptable, and engaging educational spaces that support the well-being and academic success of students. This paper recommends that school designers and architects re-evaluate existing school designs with a focus on reducing corridor spaces and prioritizing outdoor learning areas. By adopting these strategies, schools can improve space utilization, foster healthier and more efficient learning environments, and promote sustainability.

Enhancing students' writing paragraphs through Canva Magic AI

This research aimed to investigate the influence of Canva Magic AI on improving students' writing quality and to gauge their perceptions of using the tool. The study utilized a quantitative, pre-experimental One-Group Pretest–Posttest Design. Eight English literature students were selected using convenience sampling from an Intermediate English Grammar and Paragraph Writing class at STBA Persada Bunda during the 2023-2024 academic year. Data were collected via a writing test and a questionnaire. The findings revealed a significant improvement in students' writing quality after using Canva Magic AI, with a p-value of 0.012 from the Wilcoxon signed-rank test. Notable enhancements were observed across various writing components, including better organization, with more students receiving "Excellent to Good" ratings and the complete elimination of the "Not College Level Work" category. Logical development of ideas component showed significant improvement, with more students achieving higher ratings and lower ratings decreasing to zero. Grammar quality also improved markedly, with increases in higher ratings and decreases in lower ones. Progress was observed in punctuation, spelling, mechanics, and the style and quality of expression, with significant boosts in higher ratings and reductions in lower performance levels. Furthermore, students' perceptions of Canva Magic AI were highly positive, with mean ratings consistently above 4.0 on a 5-point scale. They acknowledged the tool's effectiveness in improving their writing skills and content creation, although some reported variability in experiences with errors, indicating a need for further refinement. The research underscores the effectiveness of Canva Magic AI as a supplementary educational tool, demonstrating its potential to enhance writing skills and overall quality. The implications for educational practices suggest integrating AI tools like Canva Magic AI into curricula to support and improve students' writing proficiency, fostering a more engaging and efficient learning environment.

Investigating User Feedback for Learning Space Design in Primary Schools of Shandong Province, China

A well-designed learning environment is crucial for enhancing both the physical and mental health of students, which in turn improves their learning outcomes. However, many classrooms in China, particularly in rural areas, were constructed and designed several decades ago, so it is essential to redesign these learning spaces to align with the requirements of 21st Century education. This study aims to develop the stimulation, individuality, and naturalness (SIN) theoretical framework for identifying the learning environment of current classroom by examining the full range of sensory effects experienced by individuals. This study conducted qualitative interviews with 72 students and 18 class teachers to explore major issues with their existing learning spaces in four primary schools in Shandong Province of China. The results show that high temperatures and poor air quality are frequently raised by respondents, which directly impact students’ learning experience. This finding confirms naturalness likely underpins human comfort. Teachers and students felt that the classroom should be improved from the aspects of crowded space, imperceptible decoration, congestion and monotonous layouts. The study emphasised the important factors that designers and policymakers should consider to promote a comfortable, efficient, and healthy learning environment.

Teachers Capacity and Students Perception about Technology: A Case in Modern Academia

This study examined the visible impacts of technology on the learning process in the modern era, keeping in view the students' priorities, perceptions and teachers' capacity and determinations. This study mainly examines the participants' viewpoints about technological execution in education based on their approaches to specific concepts. Primary data were collected through semi-structured interviews with different students and teachers. Data were codified, and the main theme was calculated through content analysis with the help of predefined indicators. It was noticed that different factors (social, economic, individual, etc.) affect the importance and urgency of the said phenomenon. Being an important invention, the execution of technology in education prospects new chapters, which will be user-friendly, economical, and beyond the limits of "time and space." Further, teachers and students should be properly trained about the available technology to build a smooth and efficient learning environment. In the modern era, educational systems must be updated regarding content, delivery, and techniques to compete in the global market. In this way, a unique direction will be provided for the new generation (both teachers and learners) to minimize technology's negative aspects and improve modern education's positive aspects. Keywords: Education, Learning Process, Technology, Teaching Techniques.

INNOVATIONS IN SCHOOL ROOM RESERVATION MANAGEMENT: TOWARDS SMART AND SUSTAINABLE SOLUTIONS

Abstract The efficient management of school room reservations is crucial for maximizing resource utilization and ensuring smooth operations within educational institutions. Traditional room reservation systems often suffer from inefficiencies, leading to underutilization of spaces, scheduling conflicts, and increased administrative burden. This research paper explores the development and implementation of smart and sustainable solutions for school room reservation management. The suggested approach makes use of contemporary technologies to expedite the classroom reservation process, giving teachers, administrators, and students effective means of scheduling and overseeing room reservations. The technology has significantly improved classroom utilization rates and overall operational efficiency in our institution, according to preliminary tests. The school room reservation system provides a scalable solution for improving the management of educational facilities by lowering scheduling conflicts, minimizing downtime between courses, and enabling better resource allocation. Future improvements could incorporate support for mobile platforms, integrate with current school management systems, and introduce new capabilities in response to user feedback and changing needs. In general, the establishment of this school room reservation system is a step toward the modernization of facilities management procedures in academic establishments, which will ultimately lead to the creation of a more efficient and cooperative learning environment. Index Term : Frontend development HTML, CSS, React, Backend NodeJS, Express, MongoDB

Exploring the factors influencing academic learning performance using online learning systems

-Online learning has become vital and fundamental for learning success in higher education institutions to cope with various learning methodologies or crises such as COVID-19. Therefore, this study investigates factors influencing the academic learning performance among diploma and bachelor's degree students who utilize online e-learning systems in Jordan. Using a conceptual model developed from an extensive previous literature review, the study used a quantitative research methodology to collect data via survey questionnaires. Using PLS-SEM, the empirical analysis of 846 questionnaires collected from Jordanian students demonstrates that task-technology fit and students' satisfaction positively influence learning performance and contribute significantly to student academic success using online learning systems. While the quality of system, service, and information are critical determinants of task-technology fit, student interaction, and instructor interaction are critical determinants of student satisfaction. The study highlights the importance of user-friendly interfaces, effective communication channels, collaboration, and positive learning environments. The findings provide practical insights for universities, online learning system designers, administrators, and instructors to enhance student-learning outcomes. Additionally, system providers can use these findings to address essential successful tools and features needed to create effective and efficient online learning environments. This study highlights practical implications that support higher education institutions' efforts to enhance their online e-learning systems quality and improve student-learning outcomes while helping system providers address essential successful tools and features needed.

INNOVATIONS IN SCHOOL ROOM RESERVATION MANAGEMENT: TOWARDS SMART AND SUSTAINABLE SOLUTIONS

Abstract— In order to maximize resources and create an optimal atmosphere for learning, educational institutions must manage their facilities effectively. This essay describes the planning and execution of a system for reserving school rooms with the goal of increasing classroom usage. The suggested approach makes use of contemporary technologies to expedite the classroom reservation process, giving teachers, administrators, and students effective means of scheduling and overseeing room reservations. The technology has significantly improved classroom utilization rates and overall operational efficiency in our institution, according to preliminary tests. The school room reservation system provides a scalable solution for improving the management of educational facilities by lowering scheduling conflicts, minimizing downtime between courses, and enabling better resource allocation. Future improvements could incorporate support for mobile platforms, integrate with current school management systems, and introduce new capabilities in response to user feedback and changing needs. In general, the establishment of this school room reservation system is a step toward the modernization of facilities management procedures in academic establishments, which will ultimately lead to the creation of a more efficient and cooperative learning environment. Index Term: Frontend development HTML, CSS, React, Backend NodeJS, Express, MongoDB

AI-powered smart assistants: Your key to self-learning success

This research aims to develop a prototype of a smart assistant system for independent learning activities based on Artificial Intelligence. Web-based instructional design (WBID) approach is used in research to develop intelligent assistant systems. Artificial Intelligence-Learning Analytics helps students make important decisions and creates an effective and efficient learning environment while still building learning independence. The method used is a research and development (R&D) approach. The findings of this research are an intelligent assistant system in independent learning activities assisted by artificial intelligence in the form of the AILA ChatBot application. In the end, this research concludes that the ChatBOT application developed in this research is used to provide recommendations for using AI applications to students, which are then implemented and integrated into SPOC/MOOC.

Enhancing language acquisition through personalized learning: The role of collaborative filtering and recommender systems in TESOL

This paper explores the transformative potential of Collaborative Filtering (CF) and Recommender Systems (RS) in Teaching English to Speakers of Other Languages (TESOL). By leveraging data-driven insights from learner interactions, these technologies offer personalized learning experiences that significantly enhance language acquisition, engagement, and retention. Through empirical evidence and quantitative analyses, we demonstrate the positive impact of CF and RS on learners' proficiency, vocabulary acquisition, and communicative competence. The integration of CF and RS into TESOL not only facilitates adaptive learning pathways but also addresses practical implementation challenges, including privacy, ethical concerns, and technological barriers. This study underscores the efficacy of personalized learning recommendations in creating more engaging, efficient, and effective language learning environments.

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

Background Problems: Advanced technologies, such as the Internet of Things (IoT), have played an increasingly important role in the development of physical education in higher education. Research Objectives: This study aims to conduct a content analysis of the use of IoT technology in physical education in higher education. Methods: Scopus and Web of Science databases were used to collect and analyse data for this study, with a total of 178 articles obtained, consisting of 104 articles (Scopus) and 74 articles (Web of Science). The final data used for this study consisted of 20 articles, as it only targeted the top five topics related to the internet of things (IoT) in physical education after being analysed using ScientoPy. Findings and Results: The analysis identified five main topics related to the application of the internet of things in physical education in higher education, including cloud, artificial intelligence, deep learning, big data, and virtual reality. The implications of these findings for the development of physical education in higher education are discussed in this study, emphasizing the importance of IoT technology integration in creating a more adaptive and responsive learning environment. Conclusion: The contributions of this research include providing deeper insights into how IoT technologies can be applied in physical education in higher education, as well as highlighting the potential to improve the effectiveness of learning and teaching in this area. The conclusions of this study emphasises the importance of continuing to develop innovations in the application of IoT technology in physical education in higher education in order to achieve a more efficient and competitive learning environment.

The Power of Planning: How Lesson Plans Enhance Teacher Clarity and Classroom Management

Effective teachers rely on clear communication and well-managed classrooms to foster student engagement and achievement. This study investigates the impact of lesson planning on these crucial aspects of teacher effectiveness. By analyzing existing research, the paper finds a positive connection between lesson planning and both teacher clarity and classroom management. Lesson plans equip teachers with the tools to organize content logically, anticipate student difficulties, and develop clear instructional strategies, leading to reduced student confusion and enhanced communication. Furthermore, lesson planning allows for proactive strategies to address potential classroom challenges, promoting a more structured and efficient learning environment. This paper contributes to the existing research by emphasizing the multifaceted benefits of lesson planning, not just for teacher clarity but also for creating a well-managed learning environment that fosters student engagement.

The Views of Students Regarding the Use of Virtual Reality Applications in Elementary Science Classes

Recently, Virtual reality (VR) technologies have started to be used increasingly in the field of education, as in many other fields. With the widespread use of virtual reality applications, there is a need to investigate the effects of virtual reality applications in the field of education. The results obtained from these researches can contribute to the creation of effective and efficient virtual reality-supported learning environments. VR applications, one of the technology-supported learning environments, come to the forefront to help students learn concepts more easily and permanently. Since VR is very new and not a common practice in classrooms yet, it is necessary and important to investigate how VR can be used in science lessons and students’ views on these practices. The main goals of this study were to develop the Virtual Reality Solar System Model (VRSSM) for the unit “Sun System and Eclipses” for the 6th grade students and to find out what the students think about using virtual reality applications in science classes. This is a qualitative study and 16 students participated in this study and used the VRSSM. The semi-structured interview form was used as a data collection tool. The data was analyzed using content and descriptive analysis. The results of this research revealed that the students want VR to be used not only in science lessons but also in other lessons, they think that the knowledge they have gained is permanent and that they believe that this application can increase their science achievement. Additionally, students think that the application increases their interest in science lessons and affects their learning positively.

Perception of the operation theater learning environment and related factors among anesthesia students in Ethiopian higher education teaching hospitals: a multicenter cross-sectional study

IntroductionOperation theater learning involves three key elements: clinical work, learning, and the environment. There is little evidence regarding the operating theatre learning environment for anesthesia trainees. Identifying the overall perception of the operation theater learning environment helps to establish an efficient operation theater learning environment and produce competent anesthesia professionals.ObjectiveThe aim of this study was to assess the perceptions of the operating theater learning environment and associated factors among undergraduate anesthesia students in Ethiopian higher education teaching hospitals from April to May 2023.MethodsA multicenter cross-sectional study was conducted on 313 undergraduate anesthesia students who began operation room clinical practice at 13 higher education teaching hospitals. The data were entered into EpiData version 4.6. A generalized ordered logistic regression model was used to analyze and identify factors associated with the operating theater learning environment using STATA software version MP17.ResultsThe findings of this study revealed that 45.05%,26.52%), 23% and 5.43% of the participants reported having desirable, moderately desirable, very desirable and undesirable perceptions of the operating theater learning environment, respectively, from highest to lowest. Preoperative discussion (AOR = 4.98 CI = 1.3–18.8), lack of teaching facilities (AOR = 0.16 CI = 0.03–0.75), noise from played music (AOR = 0.22 CI = 0.07–0.63), absence of tutors (AOR = 0.03 CI = 0.01–0.22), respect for students (AOR = 3.44 CI = 1.6–7.2), roll modeling for students (AOR = 3.23 CI = 1.5–6.8) and strict supervision of students (AOR = 0.24 CI = 0.07–0.88) were significantly associated with perceptions of the operation theater learning environment, with 95% CIs.ConclusionNo study participant agreed that the operation theater learning environment in operation theatres was very undesirable. A lack of teaching facilities at the OR, a lack of tutors from the OR, noise from played music in the OR, a tutor respecting their student, a tutor role model for their student, a preoperative discussion with a tutor and strict supervision of the student are strongly associated with the operation theatre learning environment.

STUDENTS’ DIGITAL VOCABULARY LEARNING: EXPERIENCES, BARRIERS, AND ADAPTIVE STRATEGIES EXPLORATION

This study aims to explore the experiences of students as they navigate individualized obstacles in the learning of digital vocabulary. The research employs a research methodology of a qualitative research, specifically employing a design centered around narrative inquiry, with the purpose of examining the subject matter. Specifically, the research examines the barriers faced by students in their pursuit of proficient acquisition of vocabulary through digital means, with a focus on the barriers that hinder optimal comprehension and retention. The findings of the research illuminate that students encounter both internal and external obstacles when learning vocabulary through the use of digital tools, as revealed by research. In addition, the findings reveal that students strategically combine different resources in order to enhance their vocabulary acquisition experience. This research offers practical insights to refine and enhance methods of vocabulary instruction in the digital age. A more efficient, inclusive, and captivating digital vocabulary learning environment for students can be created by educators, curriculum designers, and technology makers with an understanding of these issues and adaptable solutions. It is crucial for educators and developers to prioritize the inclusion of interactive elements in their digital vocabulary tools to address the identified need for heightened engagement and cognitive involvement in the vocabulary acquisition process.

CLASSROOM MANAGEMENT STRATEGIES AND CHALLENGES IN EFL SPEAKING CLASS

Classroom management involves all endeavors aimed at establishing an efficient and pleasant teaching and learning environment that can inspire learners to learn effectively based on their abilities. It encompasses a range of intentional activities conducted by lecturers with the goal of establishing and sustaining optimal conditions for the teaching and learning process. This research investigates practical management strategies for English as a Foreign Language (EFL) speaking class. Semi-structured interviews and active classroom observation were employed to collect the data. Three EFL lecturers from the English Department of Universitas Darussalam Gontor who provided English speaking classes participated in this study. The objective was to look into the lecturers' viewpoints and management of speaking classes and to examine the strategies they employed and the challenges they experienced. The findings show that the lecturers had implemented a variety of strategies, including setting discipline, physical environment, encouraging more usage of English, offering engaging topics, speaking correction techniques, and building excitement for content. The results also revealed that the lecturers encountered difficulties to manage their teaching. Challenges such as improper pronunciation, learners' low self-esteem, and shortage of lexical resources were among the lecturers’ obstacles.

The Evolution of Language Learning: Exploring AI's Impact on Teaching English as a Second Language

The integration of Artificial Intelligence (AI) into language education has revolutionized the teaching of English as a Second Language (ESL). This study explores the impact of AI on ESL instruction and investigates how AI-driven technologies enhance language learning outcomes. By analyzing current pedagogical approaches and technological innovations, this research examines how AI augments traditional language teaching methods, providing personalized and adaptive learning experiences for ESL learners. AI-based language learning platforms offer interactive modules tailored to individual student needs, creating an immersive and efficient learning environment. Additionally, the use of natural language processing (NLP) and machine learning algorithms enables real-time feedback and assessment, empowering learners to improve their language skills independently. This study critically evaluates the effectiveness of AI-driven tools in addressing linguistic challenges, such as pronunciation, grammar, and comprehension, while also considering their socio-cultural implications in diverse learning contexts. By examining the evolving role of AI in ESL education, this research contributes to a comprehensive understanding of the relationship between technology and language pedagogy. The insights from this analysis will inform educators, policymakers, and stakeholders about the potential and limitations of AI in reshaping language acquisition. Ultimately, this exploration advocates for a synergistic approach that harnesses AI's capabilities to optimize ESL instruction while preserving the human elements essential for holistic language learning experiences.

The Application of Artificial Intelligence Technology in Music Education

Artificial intelligence (AI) is transforming the field of education by emulating human cognitive processes, boosting adaptability, and improving efficiency across various domains. This integration of AI with music education, which involves a rich tapestry of history, culture, theory, and instrument instruction, facilitates the efficient utilization of musical resources. The growing demand for AI-driven online education is reshaping the landscape of learning and music instruction, particularly in the realm of music education, where the amalgamation of AI technology heralds innovative teaching approaches. This article reviews three significant AI-driven approaches: the "Flipped Classroom", which redefines traditional teaching paradigms by seamlessly combining online and offline learning experiences; the "Music Learning System Based on the RBF Algorithm", employing intricate neural network structures and large-scale music samples for personalized music education; and the "Music Learning System Based on the SCMA Algorithm", which utilizes advanced multiuser detection algorithms for tailored learning experiences. Each method leverages AI techniques, including Convolutional Neural Networks (CNN) and sophisticated algorithms, to enhance content delivery, automate feature extraction, and differentiate individual student needs. These approaches collectively signify a paradigm shift in music education, fostering personalized, interactive, and efficient learning environments for diverse learners. This article proposes future developments that could revolutionize the landscape of AI in music education. The "Singing Teaching System" mentioned in the article creates open-access AI music education software accessible to non-music majors.

Analyzing Email Communication Patterns Among Bachelor of Information and Communication Technology Education (BICTE) Students: A Case Study

This study explores the difficult scenery of email communication between undergraduate students enrolled in the Bachelor of Information and Communication Technology Education (BICTE) program within the university. The research explores various facets of email usage, including structure, literacy, and performance, shedding light on the prevalent challenges faced by students in effectively conveying messages. Significant findings encompass issues such as inapt structure, the absence of vital information, empty subjects, casual language, and the tendency to send multiple emails at once. Through the analysis of 175 actual emails exchanged between students and department heads, the study seeks to unravel patterns, trends, and deficiencies in email communication. The identified challenges underscore the importance of enhancing digital literacy and communication skills among BICTE students, addressing the delicate balance between formality and informality in academic emails, and promoting organized correspondence to facilitate a positive and efficient learning environment. The insights gleaned from this research aim to inform strategic improvements in communication training within the BICTE program, ultimately fostering a more effective and professional email communication culture.