15 research outputs found

    Eksplorasi Epistemologi Hermeneutika Vs Tafsir : Kajian Perbandingan: [An Exploration Of The Hermeneutics Epistemology Vs Quran Interpretation: Comparative Study]

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    It is an arbitrary statement when hermeneutics are viewed as compatible with Quran interpretations (tafsir). Worse yet, when it is assumed that hermeneutics has solid roots, seeping into Islamic thought without any comparative study between the two terminologies. Thus, starting from a very serious hermeneutical hegemony with great interest as advocated by some contemporary Muslim thinkers, the author explores the theme above to find a meeting point and intersection between the two terms, therefore the ambiguity itself could be avoided. ABSTRAK Suatu pernyataan sembarangan apabila disinonimkan hermeneutika dengan tafsir. Lebih parah lagi, apabila dianggapkan bahwa Hermeneutika punya akar, yang selanjutnya menyerap masuk ke dalam pemikiran keislaman tanpa adanya penerangan secara perbandingan sejak awal. Oleh itu, bermula dari hegemoni hermeneutika yang amat serius dengan minat yang mendalam yang diperjuangkan oleh sebahagian tokoh pemikir Islam kontemporari, maka penulis mengetengahkan tema di atas untuk mencari titik pertemuan dan persinggungan di antara kedua terminologi tersebut sehingga dengan sendirinya kesamaran dapat dielakkan

    Exploring genetic information topics by using augmented reality in game-based learning / Siti Noor Syuhada Muhammad Amin ... [et al.]

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    This study focuses on the development of an augmented reality learning tool in the game-based learning for the foundation Biology I (PAA 10104) course, along with its effects on student performance as well as their attitude towards the software. The student has the difficulty to learn and take more time to understand the subject. The aim of this study is to explore the impact of the tool on students’ cognitive performance and to gain an understanding of the various mechanisms and pathways of biological information expression. The results of the research will be used to determine the efficacy of the augmented reality software in teaching the subject matter. In this study, 85 students from UniSZA Science and Medicine Foundation Centre were involved. Augmented Reality interfaces are entirely based on the target user by applying a standard graphic user interface (GUI) in the virtual world. The students were instructed in answering the Nucleo-Beads boardgame’s survey and questionnaires. From the questionnaires, the feedback from student’s perceptions were analysed. The findings demonstrate that students' active involvement in hands-on activities has a particularly positive impact on their perception of enjoyment, which increases their motivation to learn. As a result, learning materials are seamlessly integrated into the environment around students in these augmented reality environments. Future research could investigate the impact by running experiments involving two or more student groups. Through game-based learning, this would give more insightful information on how to use augmented reality mobile applications

    Using Transmissibility And Vibration Power Flow Methods To Evaluate The Effectiveness Of Elastomeric Mounts For Vibration And Noise Control

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    This paper presents the results of an experimental evaluation of elastomeric mounts used to isolate vibration from a block (representing a powertrain) to a structure test rig (representing a vehicle structure). Four types of elastomeric mounts were considered, where three of them are from green material natural rubber (SMR CV60, ENR50 and DPNR) and one from petroleum based synthetic rubber (EPDM). Measurement of the dynamic stiffness and loss factor of these elastomers were initially performed. Dynamic stiffness and loss factor were measured in the axial direction for a range of frequency between 5 Hz and 150 Hz at with a dynamic amplitude of 0.2 mm (p-p). Shaker excitation using random vibration signal in the frequency range of 10 Hz to 150 Hz at constant force magnitude was applied to the block in order to quantity the effectiveness of the elastomeric mounts. Measured vibration amplitudes in the axial direction on both sides of each mount were used to calculate the transmissibility and vibration power flow. Sound radiation from a plate attached to the structure test rig was also measured to evaluate the elastomeric mounts contribution to structure-borne noise. The results from transmissibility showed that vibration was high on EPDM, particularly in the ranges 25 to 35 Hz, 60 to 80 Hz and 100 to 120 Hz. ENR50 ability to reduce or damped the amplitude at resonance was found to be the best as compared to the other elastomers. The to- tal vibration power flow was observed to be highest on ENR50 followed by EPDM. The high transmissibility on EPDM was due to its high dynamic stiffness and low loss factor. The larger total vibration power flow on ENR50 was attributed to its high dynamic stiffness and high loss factor

    Classifying Students' Performance in Mathematics in a Multicultural Primary School Using Machine Learning Algorithms

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    The last few years have witnessed a global change in the education system that was exacerbated with Covid-19 pandemic. The increasing use of online learning resources has introduced a challenge in deliverying quality education, especially in multicultural societies. In this respect, the first step to delivering high-quality education involves optimising educational quality by identifying facilitators and barriers to it. This research proposed the use of machine learning (ML) algorithms to understand the influence of key characteristics on the performance of level 6 students at a primary school in Mathematics. Three ML algorithms were applied to 12 characteristics related to students’ performance over three semesters being autumn, Spring and Summer. The ML algorithms were correlation in variable space method (CM), principal component analysis (PCA) and self-organizing maps (SOM). The aforementioned 12 characteristics included: attendance, behavior, engagement, nationality, previous school, age, weekly homework, daily in-class exercise, previous report, gender, learning disability, benchmark testing and end of block assessment. The results showed that the influence of characteristics was related to the type of assessment/lessons undertaken by students. In all cases, five characteristics played a key role and included attendance, weekly homework, daily in-class test, previous report and benchmark testing. The extent to which degree these five characteristics influenced performance varied between lessons depending on the type of task undertaken. Overall, the performance of students was consistently similar across the different semesters. Future work involves exploring the prediction of student performance based on the proposed 12 characteristics
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