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EXPLAINABLE PREDICTIVE ANALYTICS FOR SMART HEALTHCARE USING A MODULAR HYBRID INTELLIGENCE FRAMEWORK
Full text linkThe exponential growth of healthcare data – driven by electronic health records (EHRs), wearable sensors, and continuous remote monitoring systems – has created both immense opportunities and complex challenges for modern clinical decision-making. Effectively harnessing this heterogeneous, high-volume, and high-velocity data requires intelligent systems that can not only deliver accurate predictions but also provide interpretable insights to support clinician trust and patient safety. In this paper, a modular hybrid computational intelligence framework designed to advance personalized, real-time healthcare analytics, is proposed. Our approach synergistically integrates deep learning for high-dimensional feature extraction, fuzzy inference systems for transparent reasoning under uncertainty, and genetic algorithms for adaptive optimization. This tri-layered architecture enables the system to learn from multimodal data sources, including physiological signals (e.g., ECG, glucose levels), structured clinical records, and unstructured patient-reported outcomes, to predict critical health risks such as cardiac arrhythmias, myocardial infarction, and diabetes-related complications. Through experimentation on publicly available real-world datasets, the proposed framework demonstrates superior predictive accuracy, enhanced interpretability, and computational efficiency compared to conventional machine learning and deep learning baselines. Importantly, the inclusion of fuzzy logic modules allows clinicians to trace back the reasoning paths of the system, addressing the growing demand for Explainable AI (XAI) in regulated healthcare environments. This research bridges the longstanding gap between model performance and transparency by offering a scalable and modular solution that is adaptable to diverse clinical contexts. By supporting proactive risk stratification and timely interventions, the framework has the potential to transform reactive care models into intelligent, preventative, and patient-centric healthcare delivery systems
EXPERIENTIAL PEDAGOGY FOR DEVELOPING EMPATHY IN FUTURE TEACHERS
Full text linkThis article presents an innovative experiential learning model developed for prospective teachers within a university course on supporting children with chronic illnesses and their families. The model incorporates rhythmic group synchronisation exercises, emotionally resonant storytelling, real-life video testimonies, student-created theatrical performances, and a guided closed-eye visualisation—one of the most impactful elements. These practices are designed to foster empathy, emotional literacy, and inclusive pedagogical competence. During the course, students metaphorically represent illness through original stories, deliberately avoiding diagnostic labels to reduce stigma. These narratives are subsequently transformed into short theatrical performances, enabling participants to embody both physically and emotionally the lived experiences of children with chronic conditions. A mixed-methods evaluation was conducted, incorporating a structured classroom observation tool to assess students’ engagement, emotional responses, initiative, and collaboration. A post-course Likert-scale questionnaire measured students’ self-assessed development of empathy and their readiness for inclusive pedagogical practice. The results indicated strong alignment between observed behaviours and participants’ self-assessments. Grounded in the theories of experiential learning (Dewey, Kolb), social constructivism (Vygotsky), narrative pedagogy (Freire), multiple intelligences (Gardner), and socio-emotional learning (CASEL), the model provides a replicable and emotionally engaging approach to preparing future teachers for work in inclusive educational contexts
TRADITIONAL KNOWLEDGE AS ECOLOGICAL INTELLIGENCE: AN ECOPEDAGOGY STUDY: Received: 3rd February 2025, Revised: 8th February 2025, Accepted: 17th March 2025, Date of Publication: 15th July 2025
No full textHumans living in ancestral environments tend to preserve inherited habits, including rituals and daily practices rooted in local wisdom. This traditional knowledge, reflecting ecological intelligence, is at risk of fading due to the lack of educational exposure. Using qualitative methods—observation, interviews, documentation, and audio-visual records—this study explores how schools can become a platform for revitalizing ecological intelligence through traditional knowledge. More importantly, this study introduces the integration of digital literacy as a vital tool in documenting, disseminating, and preserving traditional ecological knowledge. Digital storytelling, community-based multimedia archives, and ecopedagogical content delivered via online platforms enable students not only to appreciate but also to participate in the conservation of their cultural and ecological heritage. The findings suggest that both ecological intelligence and digital literacy can be developed in synergy through project-based learning rooted in local content. This combination equips students with the cognitive and technological skills necessary to engage with global environmental issues while remaining grounded in local wisdom
TECHNOLOGY BASED EDUCATION: USING PADLET FOR AN EFFECTIVE CLASSROOM ENVIRONMENT
Full text linkTechnology has revolutionized the modern classroom with innovative tools that have replaced traditional methods of teaching and learning for both educators and students. This research study explores the effectiveness of using Padlet, an online platform which allows students to share their thoughts, ideas, opinions and information on enhancing their learning while boosting their creativity, collaboration, critical thinking, and communication skills. For the purpose of this study, a workshop on the use of Padlet was conducted for lecturers and students at the American College of Higher Education in Sri Lanka. The students varied from certificate-level, diploma-level, and foundation courses, and the lecturers were those who taught these courses. The workshop was held to train both lecturers and students to incorporate Padlet in their teaching - learning process. To evaluate its impact on the participants, questionnaires were distributed to 100 students of the above courses and 20 lecturers. The questionnaires for both students and lecturers consisted of three parts; demographic information, closed-ended questions rated on a 5-point Likert scale, and open-ended questions where both students and lecturers had to write their opinions and views on the effective use of the Padlet tool. IBM SPSS Statistics 27.0.1 software was used to analyse the data collected from the participants and it was concluded that using the Padlet tool was effective and efficient to boost creativity, collaboration, critical thinking, and communication skills. The study also revealed that the padlet tool reduces negative affective filters such as anxiety, lack of motivation, and low self-esteem, thereby fostering more effective learning. The study reinforces the positive role of digital technology like Padlet in fostering and enhancing student engagement for an effective classroom environment.
 
KNOWLEDGE GRAPH EMPOWERS THE TEACHING REFORM OF PROGRAMMING COURSES
Full text linkAgainst the limitations of traditional C language programming teaching—such as fragmented learning (failing to connect old and new knowledge), restricted teaching depth/breadth (insufficient in-depth analysis of knowledge points due to class time limits), and students’ over-reliance on textbook examples—and MOOCs’ inability to meet personalized needs (lacking tutor guidance), this study aims to improve teaching quality and students’ abilities (independent learning, problem-solving, innovation) by integrating knowledge graph and AI. First, a C language course knowledge graph was constructed via six steps: knowledge modeling (sorting core elements like data types and pointers), data preparation (collecting materials including 295 videos and 842 PPTs), information extraction (identifying relationships like inclusion and sequence), knowledge integration (hierarchical structure), storage (in graph database), and graphical display. Then, the knowledge graph was applied to teaching: enabling AI-assisted intelligent teaching (pre-class task design, in-class knowledge visualization, hierarchical after-class exercises), building a comprehensive evaluation system (learning trajectory analysis, knowledge mastery evaluation, resource recommendation), and planning personalized learning paths. Two semesters of practice showed the knowledge graph significantly boosted students’ learning interest and key abilities. Futurely, with tech innovation and expanded scenarios, knowledge graph will have broader prospects in education to advance programming course teaching reform
THE MERGER OF TOP UNIVERSITY- EXPLORING THE OPERATIONAL EFFICIENCY OF TAIWAN’S NYCU FROM A FINANCIAL PERSPECTIVE
Full text linkThis study utilized data envelopment analysis (DEA) to empirically evaluate the operational efficiency of Taiwan's top university NYCU from a self-financing perspective between 2012 and 2023. The results demonstrated that although the merged NYCU maintained increasing returns to scale (IRS) in research output, his teaching output transitioned to more severe decreasing returns to scale (DRS) beginning from the second year post-merger (2022). This shift, coupled with a simultaneous surge in four input factors—particularly administrative and general affairsexpenses—drove NYCU's overall operations into increasingly severe scale inefficiency. The findings confirmed that the merger-induced diversity of fields, disciplines, and missions, along with the multi-campus structure, resulted in diseconomies of scale and scope. Additionally, the study identified NYCU's strong resilience against declining birthrate impacts, while noting that Taiwan's current public university tuition system undermined institutional financial stability and efficiency
EFFICIENCY ENHANCEMENT IN THE RECUPERATOR OF A REHEATING FURNACE
Full text linkIn today’s world, increasing environmental concerns have intensified the focus on renewable energy sources and effective energy management practices. In industrial processes, particularly in areas with high energy consumption, waste heat recovery has become one of the primary research topics. Reheating furnaces used in the steel industry reach extremely high temperatures during rolling operations, with approximately 50–70% of this energy being released directly into the atmosphere through flue gases. In this context, flue gases stand out as one of the most significant sources of waste heat. The aim of this study is to recover the waste energy contained in the flue gases emitted to the atmosphere from a slab reheating furnace used in the hot rolling process of the iron and steel industry by means of a recuperator. Through the newly implemented recuperator replacement, 31,274.93 kW of energy recovery was achieved and 6.32 tons of carbon emissions were reduced. Consequently, the amount of energy released into the atmosphere was decreased, and a significant reduction in natural gas consumption of the furnace was obtained
STUDY HABITS OF THE STUDENTS IN THE UNIVERSITY OF PRISHTINA "HASAN PRISHTINA"
Full text linkStudents cannot use the study skills effectively, until they are not having good habits (Bajwa,
Gujjar , Shaheen &Ramzan, 2009). This survey report identifies the main study habits of the
students of the University of Prishtina (UP), and their impact on students` learning process.
100 undergraduate students of the UP were participants in this study; they were supposed to fill
in a questionnaire of 25 questions. This paper outlines the most common study habits of the students of UP. Findings suggested that students posses effective study habits, and that they are aware of the impact that their study habits have in their learning achievement. The results show that students do a study schedule for each semester, and that students feel quite confident with their study habits. However, significant differences are found between the results, and what was expected. Nevertheless, further work is suggested in order to make adjustments in students` learning process
AUTHENTIC LEARNING THROUGH AUDITING SOFTWARE IN LEARNING AUDITING : A MALAYSIAN UNDERGRADUATE PERSPECTIVE
Full text linkThis paper examines whether auditing software provides students with motivation and interest, learning opportunities, critical thinking, and real-world exposure. The research was conducted on auditing classes under an undergraduate accounting program in a public university across three semesters from 2022 to 2024. A structured questionnaire was used to assess the student’s authentic learning experience. Our study providing valuable insights for educators, policymakers, and potential employer by highlighting the experiential authentic learning in a Malaysian university. 
THAI TEACHERS CONCEPTIONS OF THE CLT APPROACH IN ENGLISH LANGUAGE EDUCATION
Full text linkThe communicative language teaching (CLT) approach and its fundamental principles, including learning to communicate through interaction and engagement, are generally upheld by theories in the area of second language acquisition even though by and large implementing CLT in practice is to some degree difficult and ineffective in many ESL (English as a second language) and EFL (English as a foreign language) contexts. This action research is undertaken to assist a small group of Thai EFL school teachers in developing and implementing context-sensitive CLT through a teacher training program designed for their own professional development as secondary school teachers. Two methods are employed, an observation and a task evaluation. It is found that from the teachers’ practice using CLT in teaching, their classes are hardly communicative in nature as communication is constrained and rather unilateral, mostly directed by the teachers. Some recommendations are made to the teachers under study based on the methods used, addressing fluency rather than accuracy if students’ communicative competence is the goal