Digital Commons Network^™

Are Australian Schools Becoming Less Inclusive? Changes To Class Ability Grouping Practices In Australian Secondary Schools, Olivia Johnston, Peter Palamara

Research outputs 2022 to 2026

Class ability grouping does not improve overall academic results, and is inequitable because it segregates students according to their disability, race, class, gender, and other factors that already make students at risk in education. The practice is not inclusive and previous research has shown that it exacerbates social disadvantage. Despite the evidence, historical efforts to change practices in Australia have been unsuccessful and many schools still use class ability grouping. This paper presents analysis of data from the Class Ability Grouping Survey about how often schools reported changing their class ability grouping practices in Year 7–9 Mathematics, English, Science, and …

Stakeholder Co-Design Of Sustainable Urban Pest Management Strategies, Elizabeth C. Lowe, Nathan J. Butterworth, Alexander Austin, Cameron Webb, Tanya Latty

Research outputs 2022 to 2026

The high levels of broad-spectrum insecticides used to manage invertebrates in many cities around the world has significant environmental and health impacts. Integrated pest management (IPM) is a framework for sustainable pest control practice, but uptake of IPM remains low in most cities. We used participatory action research with pest management industry stakeholders (practitioners, industry representatives, researchers and government employees) to identify key issues in urban pest management in Australia, set priorities for change and discuss collaborative solutions. Via an online survey and a face-to-face workshop, the participants identified the key themes of education and training, public awareness, environmental impacts …

The Effectiveness Of Employing Artificial Intelligence Applications In Developing Technological Creativity For Students Of The Higher Basic Stage In Palestine, Mahmoud Mohammed Fouad Barghout, Ahmed Mohammed Abu Olba

Journal of Educational and Psychological Studies

The research aimed to discover the effectiveness of implementing artificial intelligence applications in developing technological creativity for students of the higher basic stage in Palestine, the researchers used the Quasi-experimental design, and the researchers programmed and designed artificial intelligence applications for the unit (remote sensing and control) from the technology book for the eighth grade. The researchers prepared the research tool (technological creativity test). It was applied to the research sample, which consisted of eighth grade students at Saad bin Abi Waqas Basic School (B), affiliated to the Palestinian Ministry of Education and Higher Education, where their number reached (72) …

Lack Of Increase In Mercury Contamination In Coastal Western Australia Since European Settlement, Martin Dahl, Larissa Schneider, Harald Biester, Richard Bindler, Antonio Martinez Cortizas, Paul S. Lavery, Miguel A. Mateo, Oscar Serrano

Research outputs 2022 to 2026

Current knowledge of long-term mercury (Hg) deposition is predominantly based on studies from the Northern Hemisphere, leading to a geographical bias in the comprehension of the global Hg cycle. Aiming to contribute to fill this knowledge gap, our study presents a high-resolution Hg record of a seagrass Posidonia australis sedimentary archive encompassing the last 3300 years in the Waychinicup estuary (Western Australia, WA). This setting is an ideal site for studying the natural Hg cycle, as it is located in the southwest of the state, outside the prevailing wind patterns that transport emissions from major Hg sources. Our results show …

The Strategic Competence Of Secondary Mathematics Teachers Solving Algebraic Word Problems, Vesife Hatisaru, Steven Richardson, Helen Chick, John Sevier

Research outputs 2022 to 2026

We examined the strategic competence of 22 secondary mathematics teachers by considering their solutions to an algebraic word problem involving simultaneous equations. The analyses have shown that although the majority could solve the problem, the strategic competence of the participants varied, with some teachers having greater fluency with an algebraic solution, and the others less likely to address simultaneity. Overall, many of the teachers had relatively limited capacity to identify additional solution approaches. The study highlights the usefulness of a strategic competence scheme with key indicators that may reveal areas for further teacher development, with the specific findings suggesting the …

Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario with multiple friendly interference nodes. The goal is to hide a legitimate communication link from a transmitter to a receiver under a warden’s surveillance. Firstly, we propose a novel strategy for generating artificial noise (AN) signals and formulate a corresponding design problem, aiming to minimize the adverse effects of AN on the legitimate receiver while enhancing communication covertness. Specifically, we optimize the basis matrix for AN signal space using statistical information of the involved channel coefficients, when precise channel state information are unavailable. Secondly, we analyze the geometric structure of the …

Sensing-Then-Beamforming: Robust Transmission Design For Ris-Empowered Integrated Sensing And Covert Communication, Xingyu Zhao, Min Li, Ming Min Zhao, Shihao Yan, Min Jian Zhao

Research outputs 2022 to 2026

Traditional covert communication often relies on the knowledge of the warden's channel state information, which is inherently challenging to obtain due to the non-cooperative nature and potential mobility of the warden. The integration of sensing and communication technology provides a promising solution by enabling the legitimate transmitter to sense and track the warden, thereby enhancing transmission covertness. In this paper, we develop a framework for sensing-then-beamforming in reconfigurable intelligent surface (RIS)-empowered integrated sensing and covert communication (ISACC) systems, where the transmitter (Alice) estimates and tracks the mobile aerial warden's channel using sensing echo signals while simultaneously sending covert information to …

Optimizing Ev Battery Charging Using Fuzzy Logic In The Presence Of Uncertainties And Unknown Parameters, Minhaz Uddin Ahmed, Md Ohirul Qays, Stefan Lachowicz, Parvez Mahmud

Research outputs 2022 to 2026

The growing use of electric vehicles (EVs) creates challenges in designing charging systems that are smart, dependable, and efficient, especially when environmental conditions change. This research proposes a fuzzy-logic-based PID control strategy integrated into a photovoltaic (PV) powered EV charging system to address uncertainties such as fluctuating solar irradiance, grid instability, and dynamic load demands. A MATLAB-R2023a/Simulink-R2023a model was developed to simulate the charging process using real-time adaptive control. The fuzzy logic controller (FLC) automatically updates the PID gains by evaluating the error and how quickly the error is changing. This adaptive approach enables efficient voltage regulation and improved system …

Professional Development To Inspire, Support, And Extend Stem-Related Learning, Somayeh Ba Akhlagh, Asma Hulayyil Aljohani, Maryam Jamal Alharthi, Nahla Mahmoud Gahwaji, Nouf Mohammed Albadi, Marianne Knaus

Research outputs 2022 to 2026

The success of STEM education in early childhood education is reliant on the pedagogical practices of teachers. Effective teaching of STEM requires specific knowledge of the four disciplines of STEM, appropriate teaching and learning methods and relevant experiences. In Saudi Arabia the teaching of STEM is a relatively new field, and this paper outlines a research project to promote the teaching and learning of STEM through professional development workshops. The research is informed by Vygotsky’s cultural-historical/socio-cultural theory, acknowledging the crucial role of social interaction and cultural context in a collaborative learning environment. To evaluate the project, a mixed methods approach …

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Artificial Neural Network Based Protection For Dc Bus Using Solid State Dc Breaker, Eswaraiah Giddalur, Askani Jaya Laxmi

ASEAN Journal on Science and Technology for Development

Low voltage Direct Current (LVDC) microgrids have been extensively used as a hopeful technology with high access to distributed energy resources (DERs) and DC loads, due to the absence of multiple conversions. A high amplitude Fault current together with the vulnerability of electronic devices, poses a great challenge to the line protection in LVDC microgrids. Electromechanical switches are slow and take long tripping time to clear the short circuit fault. Power electronic circuit breakers are used to achieve fast fault interruption recent progress in areas like machine learning and natural language processing have affected nearly every assiduity and area of …

Extraction And Characterization Of Fresh And Dehydrated Cactus (Opuntia Ficus Indica) Polysaccharide For Hydrogel Preparation, Aye Thwe Thwesoe, May Myat Khine

ASEAN Journal on Science and Technology for Development

In this research, extraction of polysaccharide compounds from Cactus (Opuntia Ficus Indica) leaves in both fresh and dehydrated condition by solvent precipitation method using three types of water, acid (HCL) and NaOH. Before extraction, the physicochemical properties were examined to determine optimum yield (%) of extracted polysaccharide by optimization of Box-Behnken Design (BBD) of response surface methodology (RSM). The polysaccharide-based acrylamide hydrogel was prepared by free radical polymerization. The functional and structural characterization was done by FTIR, XRD and SEM for examination of extracted polysaccharide as raw polymer backbone in hydrogel preparation and prepared hydrogel as adsorbent for metal removal. …

Systematic Study On Preparation And Characterizations Of High Performance Bimetallic Pt-Co/Sba-15 Catalyst In N-Heptane Isomerization, Talib M. Albayati, Khalid A. Sukkar, Nisreen S. Ali, Mahir A. Abdulrahman, Basheer A. Abdulhussein, Issam K. Salih, Narges Elmi Fard

ASEAN Journal on Science and Technology for Development

Bimetallic catalysts were prepared by deposition of 1% of loading of (Pt-Co) onto SBA 15 support using heterogeneous reaction for enhancing hydroisomerization and promoting hydrocracking for the decomposition of n-heptane. The catalytic performance of the catalysts was subsequently evaluated thereafter. Characterization of the prepared catalysts was done by various techniques, which include XRD, FTIR, BETBJH, SEM/EDS, and TEM. The temperature range studied for this catalytic activity was 250 to 400 °C, at atmospheric pressure in a plug-flow reactor. The experimental setup kept a very rigorous control over the temperature, flow rate for the reactants, and pressure, while gas chromatographic techniques …

Unlocking Green Potential In Indonesian Small Medium Enterprises: Challenges And Opportunities For Sustainable Vermicelli Production, Togar W. S. Panjaitan, Karina Agustin, Prayonne Adi, Jani Rahardjo, I Nyoman Sutapa

ASEAN Journal on Science and Technology for Development

Due to limited initiatives and support, the transition to green manufacturing among small and medium enterprises (SMEs) in developing countries remains challenging. Through a critical literature review and case study of the Indonesian vermicelli industry, this study highlights the importance of collaboration and strong policies to address this. Other findings also reveal that the energy intensity and emissions in the sector exceed best practice benchmarks, with the cooking and drying stages contributing significantly to emissions due to high energy consumption. Lack of government regulations, company awareness, and understanding of applicable practices and technologies creates challenges in green manufacturing. The study …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …

Ai-Assisted Hybrid Ga–Pso Channel Allocation Under 3gpp Tr 38.901 Uma For Efficient 5g Radio Resource Management, Sharada Narsingrao Ohatkar

ASEAN Journal on Science and Technology for Development

The increased traffic and heterogeneity in the 5G/B5G network require efficient radio resource management (RRM). However, the existing methods, such as GA and PSO, have poor convergence speed and require proper initial conditions. Additionally, learning-based methods have high computational complexity. Hence, in this paper, a novel AI-assisted Hybrid Channel Allocation (AI–HCA) framework is proposed by using a support vector regression (SVR)-based predictive initialization method and GA-PSO optimization. Simulation results using the 3GPP UMa channel model show that the proposed method has a 28% reduction in call blocking probability (CBP), a 15-25% enhancement in spectral efficiency (SE), and a 18-25% enhancement …

Design Of An Economic Order Quantity–Based Dashboard For Vaccine Packaging Inventory Management, Hadi Susanto, Susmitha Canny, Alexandra Elizabeth Callistha, Shakira Dwi Purwandari, Naila Davina Aurelia

ASEAN Journal on Science and Technology for Development

Background: Timely availability of vaccine packaging is critical to pharmaceutical supply chain reliability, as packaging materials play a key role in maintaining cold chain integrity during distribution. Inadequate availability of packaging materials can disrupt vaccine delivery even when finished vaccines are ready for shipment. The case company faces frequent delivery delays, insufficient safety stock, and irregular replenishment of vaccine packaging materials, which have jeopardized the organization’s target of achieving a 90% on-time delivery rate.

Objective: To design and evaluate an Economic Order Quantity (EOQ)–based inventory dashboard for vaccine packaging that standardizes ordering decisions and strengthens stock visibility in pharmaceutical distribution …

Assessing The Influence Of Land Use Land Cover Alterations On Climate Variability In Thimphu & Chhukha, Sonam Zangpo, Karma Choki, Tashi Tobgay, Phurpa Rinchen, Tandin Tshewang

ASEAN Journal on Science and Technology for Development

This study examines the spatiotemporal dynamics of land use and land cover (LULC) changes and their influence on local climate variability in Bhutan using an integrated geospatial and machine learning framework. LULC changes during the period 2004 to 2022 were analyzed to understand their relationship with localized climate responses. Despite increasing urbanization pressures, comprehensive assessments linking LULC dynamics with climate variability in Bhutan remain limited. Geographic Information System (GIS) techniques and Random Forest classification were used to map LULC changes, while non-parametric trend analyses (Mann–Kendall test and Sen’s slope estimator) were applied to evaluate trends in key meteorological variables, including …

Understanding Waste Management Knowledge And Habits Of Senior High School Students In Lianga, Surigao Del Sur, Philippines, Arnele Mie A. Fanuga, Romy M. Avila, Reyl Justine J. Ballena

ASEAN Journal on Science and Technology for Development

The effective implementation of Solid Waste Management (SWM) in educational institutions is challenged by increasing student populations, limited infrastructure, and inconsistent policy enforcement. This study assessed the Knowledge, Attitudes, and Practices (KAP) of senior high school students regarding SWM in three secondary schools in Lianga, Surigao del Sur, Philippines. Data were collected using a descriptive-correlational design from 150 students selected through quota sampling. Pearson’s correlation analysis revealed significant associations between knowledge and attitude, and between attitude and practice. Knowledge scores were positively correlated across the three secondary schools. Students demonstrated a high level of awareness of the environmental and health …

Sustainable Conductive Rpla-Carbon Black Filament For Additive Manufacturing Via Single-Screw Extrusion, Zaidan Faraby Zulkarnain, Shakina Hawapi, Aini Zuhra Abdul Kadir, Muhd Ikmal Isyraf Mohd Maulana, Nor Akmal Fadil, Najlaa Nazihah Mas’Ood, Mohd Rizal Alkahari, Saidin Wahab

ASEAN Journal on Science and Technology for Development

The growing demand for low-cost, sustainable conductive filaments for additive manufacturing motivates the exploration of recycled polymer feedstocks as alternatives to virgin materials. However, the effects of prior thermal reprocessing on both the electrical performance and morphological integrity of recycled PLA (rPLA)–carbon black (CB) composite filaments remain insufficiently characterised, particularly under single-screw extrusion conditions. This study fabricates and characterises conductive filaments from virgin PLA and rPLA, each loaded with CB at 0.2, 0.6, and 1.0 wt%, using a low-cost desktop single-screw extruder. Melt blending was found to be essential for achieving continuous filament extrusion, as ball milling produced insufficient filler …

Sales Prediction In Omnichannel Distribution Systems Based On Consumer Behavior Using Process Mining And Arimax, Ferra Arik Tridalestari, Mustafid Mustafid, Ferry Jie, Hanung Nindito Prasetyo

Research outputs 2022 to 2026

Omnichannel distribution integrates multiple sales channels into a single management platform to enhance customer experience. However, the complexity of consumer behavior data across channels often prevents business owners from effectively analyzing and predicting sales. This study proposes a sales prediction model in omnichannel distribution systems based on consumer behavior using a collaborative approach that integrates process mining and autoregressive integrated moving average with exogenous variables (ARIMAX). Event log data from an omnichannel service provider were used to extract consumer activity patterns, which were then analyzed through process discovery algorithms to identify dominant behavioral processes. The resulting behavioral indicators served as …

ℵ-Ipomdp: Mitigating Deception In A Cognitive Hierarchy With Off-Policy Counterfactual Anomaly Detection, Nitay Alon, Joseph M. Barnby, Stefan Sarkadi, Lion Schulz, Jeffrey S. Rosenschein, Peter Dayan

Research outputs 2022 to 2026

Social agents with finitely nested opponent models are vulnerable to manipulation by agents with deeper recursive capabilities. This imbalance, rooted in logic and the theory of recursive modelling frameworks, cannot be solved directly. We propose a computational framework called ℵ-IPOMDP, which augments the Bayesian inference of model-based RL agents with an anomaly detection algorithm and an out-of-belief policy. Our mechanism allows agents to realize that they are being deceived, even if they cannot understand how, and to deter opponents via a credible threat. We test this framework in both a mixed-motive and a zero-sum game. Our results demonstrate the ℵ-mechanism’s …

Music As A Distraction During Reading: Music Listening Habits Of University Students, Lindsey Cooke, Craig Speelman, Ross Hollett

Research outputs 2022 to 2026

Recent research indicates high proportions of individuals report they have music playing while they read. This behaviour has implications for effective comprehension, as some scholars suggest the presence of music depletes cognitive resources, resulting in a greater chance of becoming distracted. By contrast, some have claimed that listening to music can improve cognitive performance by increasing physiological arousal and improving mood. This study captured self-reported behaviours of university students regarding whether they chose to listen to music while reading for study purposes. Reasons for listening varied, with reports of increased motivation, enhanced focus, or masking external noise. The most listened …

Priority Questions For The Next Decade Of Blue Carbon Science, Peter I. Macreadie, George E. Biddulph, Pere Masque, Hilary Kennedy, Jimena Samper-Villarreal, J. Patrick Megonigal, Hannah K. Morrissette, Tania E. Romero-Gonzalez, Vanessa Hatje, Jana Friedrich, Sigit D. Sasmito, Kenta Watanabe, Inés Mazarrasa, Dorte Krause-Jensen, Janine B. Adams, Miguel Cifuentes-Jara, Ariane Arias-Ortiz, Andre S. Rovai, Milica Stankovic, Kirsten Isensee, Ana M. Queirós, Luzhen Chen, Jorge Herrera-Silveira, Catriona L. Hurd, Rashid Ismail, Ken W. Krauss, Anna Lafratta, Maria M. Palacios, William E.N. Austin

Research outputs 2022 to 2026

Blue carbon ecosystems, classically defined as mangroves, tidal marshes and seagrasses, but increasingly expanded to include ecosystems such as tidal flats, macroalgal forests and shelf sediments, contribute to climate change mitigation and biodiversity support. Here, seven years after the last global assessment of research priorities, we conducted a priority-setting exercise to identify persistent knowledge and implementation gaps, and the strategic priorities that must be addressed to enable scalable, high-integrity and equitable management of blue carbon ecosystems in a rapidly evolving policy and finance landscape. The highest priority focuses on managing blue carbon ecosystems to support coastal communities while integrating traditional …

Redox-Mediator Enhanced Electrochemiluminescence Under Non-Aqueous Conditions, Steven J. Blom, Fazeleh Mesgari, El M.S. Martin, Egan H. Doeven, David J. Hayne, Timothy U. Connell, Peter J. Barnard, Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Paul S. Francis

Research outputs 2022 to 2026

The introduction of small-molecule redox mediators into aqueous co-reactant electrochemiluminescence (ECL) systems has emerged as an effective strategy to increase signal intensity. Herein, we investigate the influence of a series of neutral iridium(iii) complexes (Ir(pmi)3, Ir(ppy)3, Ir(ppz)3 and Ir(ppy)2(acac)) as redox mediators for co-reactant ECL in acetonitrile. Using [Ru(bpy)3]²⁺ as a benchmark luminophore and tri-n-propylamine (TPrA) as a co-reactant, the redox mediators elicit similar effects in this solvent to those of their sulfonated [Ir(sppy)3]³⁻ and [Ir(sppz)3]³⁻ analogues under aqueous conditions. The Ir(ppz)3 complex was most effective; at a concentration of 100 µM it produced an 11-fold increase …

Mobility Of Hydrophilic And Hydrophobic Nanoparticles In Carbonate Reservoirs: Application To Subsurface Projects, Zain Ul Abedin Arain, Sarmad Al-Anssari, Muhammad Ali, Faisal Ur Rahman Awan, Alireza Keshavarz, Jitendra Sangwai, Mohammad Sarmadivaleh, Stefan Iglauer

Research outputs 2022 to 2026

Nanoparticles (NPs) have been suggested for subsurface projects, including enhanced oil recovery (EOR), carbon capture and storage (CCS), and hydrogen storage, due to their small size, high surface energy, controlled surface properties, and significant effects on the underground formation properties. Silica is an excellent NP that efficiently modifies the surface properties of subsurface formations for incremental oil recovery and to derisk carbon and hydrogen leaks. However, the retention of injected NPs in a narrow area near the injection inlet can limit a project’s feasibility. In the present study, hydrophobic (hybrid) NPs were produced via silanization of silica NPs, and the …

A Knowledge-Driven, Ai-Assisted Cyber Defence Framework For Iomt Remote Patient Monitoring, Kulsoom S. Bughio, David M. Cook, Abdul M. Unar

Research outputs 2022 to 2026

The rapid adoption of Internet Medical Things (IoMT) technologies in remote patient monitoring has reshaped healthcare delivery by enabling continuous, real-time clinical observation outside traditional care settings. However, this shift has also expanded the cyber-attack surface across heterogeneous, resource-constrained medical devices, wireless networks, cloud services, and third-party platforms. In cyber warfare, healthcare has become an incorporated target of geopolitics, with hospitals, remote monitoring systems, and emergency health systems being used to broaden the attack surface for adversaries to exploit. Existing security approaches for IoMT environments remain largely manual, fragmented, and reactive, limiting their effectiveness in dynamically assessing vulnerabilities and supporting …

Vocabulary Assessment And Washback: English Teachers' Practices In Preparing Students For The Wassce In Ghana, Ishmael Nii Amon Neequaye

Theses and Dissertations

Persistent concerns in WAEC Chief Examiners’ Reports consistently attribute declining student performance on the WASSCE English Language examination to limited vocabulary knowledge. Despite these recurring observations, little research has explored how teachers respond to the vocabulary demands embedded within this high-stakes examination. This qualitative study investigates (1) how Senior High School English teachers prepare students for the vocabulary demands of the WASSCE English paper and (2) how the assessment pressures influence instructional practices and classroom decision-making.  Drawing on communicative competence, multiliteracies, and washback, the study employed a descriptive case study design and thematic analysis of semi-structured interviews and focus group …