Turkish Journal of Computer and Mathematics Education (TURCOMAT) https://www.turcomat.org/index.php/turkbilmat <h2 class="py-3 bg-white text-dark" style="background-color: white; padding: 10px;">Turkish Journal of Computer and Mathematics Education (TURCOMAT) ISSN: 3048-4855</h2> <p style="background-color: white; padding: 10px;"><strong>Period</strong> Tri-annual | <strong> Starting Year: </strong> 2009 |<strong>Format:</strong> Online | <strong>Language:</strong> ENGLISH | <strong>ISSN</strong> <strong>:</strong> 3048-4855 | <strong>Publisher:</strong> <a href="https://nnpub.org" target="_blank" rel="noopener"><strong>NINETY NINE PUBLICATION</strong></a></p> <div class="row"> <div class="col-md-4"><img style="background-color: white; padding: 10px; display: block; margin-left: auto; margin-right: auto;" src="https://turcomat.org/public/site/images/admin_turcomat/black-and-white-simple-company-cover-journal.png" alt="" width="200" height="259" /><br /> <p style="background-color: white; padding: 10px;"><strong>Citation Analysis: </strong><br /><br /><a href="https://scholar.google.co.in/citations?hl=en&amp;user=mELVS0AAAAAJ&amp;view_op=list_works&amp;sortby=pubdate" target="_blank" rel="noopener"><strong>Google Scholar</strong></a><br /><strong>Citations: 18638 <br />h-index: 54<br />i10 -index: 438</strong></p> <p> </p> </div> <div class="col-md-8"> <p style="background-color: white; padding: 10px; text-align: justify;"><strong>Announcement:</strong>We are excited to announce that Turkish Journal of Computer and Mathematics Education (TURCOMAT) is now under the new management of <strong>Ninety Nine Publication</strong>, effective since November 2023. We are proud to launch our first issue with the new team, Volume 15, Issue 1, for the year 2024. This issue marks a new chapter in the journal's history and is now available on our website. For detailed information and to access the latest issue, please visit our <a href="https://turcomat.org/index.php/turkbilmat ">journal's website</a></p> <p style="background-color: white; padding: 10px; text-align: justify;">The Turkish Journal of Computer and Mathematics Education, known as TURCOMAT, is a globally acknowledged journal notable for its comprehensive peer-review process and open access availability. This journal publishes three issues a year, in the periods of January-April, May-August, and September-December. TURCOMAT primarily focuses on sharing scholarly research in the fields of mathematics education and computer science. For more detailed insights into its areas of interest, readers are encouraged to refer to the journal's focus and scope section.</p> </div> </div> <div class="row"> <div class="jumbotron" style="padding: 10px; margin-bottom: 5px;"> <p>Call for Papers: May-August 2024 Issue of TURCOMAT</p> <ul class="list-group"> <li class="list-group-item"> Submission Deadline: August 30, 2024</li> <li class="list-group-item">Publication Model: Continuous</li> <li class="list-group-item">Scope: Encourages exchange of ideas in mathematics and computer science, covering both theoretical and applied research.</li> <li class="list-group-item">Focus Areas: Mathematical theories, computational algorithms, data science, and their applications in various domains.</li> <li class="list-group-item">Submission Encouragement: Innovative, interdisciplinary research and comprehensive reviews contributing to mathematical and computational sciences.</li> <li class="list-group-item">Journal Characteristics: International, scholarly, refereed, and editor-organized.</li> <li class="list-group-item">TURCOMAT's Evolution: Dynamic, adapting to changes and developments in the field.</li> <li class="list-group-item">Participation Invitation: Enthusiastic call for manuscripts for future issues, highlighting enjoyment in engaging with new authors and their research.</li> </ul> <p> </p> </div> </div> en-US <h2 id="rights">You are free to:</h2> <ol> <li><strong>Share </strong>— copy and redistribute the material in any medium or format for any purpose, even commercially.</li> <li><strong>Adapt </strong>— remix, transform, and build upon the material for any purpose, even commercially.</li> <li>The licensor cannot revoke these freedoms as long as you follow the license terms.</li> </ol> <h2 id="terms">Under the following terms:</h2> <ol> <li class="cc-by"><strong>Attribution </strong>— You must give <a id="src-appropriate-credit" href="https://creativecommons.org/licenses/by/4.0/deed.en#ref-appropriate-credit">appropriate credit </a>, provide a link to the license, and <a id="src-indicate-changes" href="https://creativecommons.org/licenses/by/4.0/deed.en#ref-indicate-changes">indicate if changes were made </a>. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.</li> <li><strong>No additional restrictions </strong>— You may not apply legal terms or <a id="src-technological-measures" href="https://creativecommons.org/licenses/by/4.0/deed.en#ref-technological-measures">technological measures </a>that legally restrict others from doing anything the license permits.</li> </ol> <h2 class="b-header has-text-black padding-bottom-big padding-top-normal">Notices:</h2> <p>You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable <a id="src-exception-or-limitation" href="https://creativecommons.org/licenses/by/4.0/deed.en#ref-exception-or-limitation">exception or limitation </a>.</p> <p>No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as <a id="src-publicity-privacy-or-moral-rights" href="https://creativecommons.org/licenses/by/4.0/deed.en#ref-publicity-privacy-or-moral-rights">publicity, privacy, or moral rights </a>may limit how you use the material.</p> editor@turcomat.org (Ms Shivani Agrawal) emmy@turcomat.org (Dr. Emmy Watson) Mon, 20 May 2024 05:42:54 +0000 OJS 3.2.1.4 http://blogs.law.harvard.edu/tech/rss 60 The Relationship of Attitude and Performance in Mathematics of the BEEd and BSE Students https://www.turcomat.org/index.php/turkbilmat/article/view/7535 <p>This study aimed to determine if the attitude toward mathematics of BSE and BEED students in DMMMSU NLUC is significantly correlated to their Mathematics performance. Specifically, it seeks answers to the following questions: What is the profile of the students enrolled in Mathematics along sex, CAT Result in Mathematics and IQ level. What is the attitude of students towards Mathematics?&nbsp; What is performance of the respondents in Mathematics?&nbsp; Is there a significant relationship between profile variables and attitude towards Mathematics profile variables and performance in Mathematics, attitude toward Mathematics and Mathematics performance?&nbsp; Which among the variables are predictors of Mathematics performance?&nbsp; What action plan can be proposed to enhance the level of performance and attitude of the students in Mathematics?</p> <p>This study utilized the descriptive method of investigation.&nbsp; This is best fitted to the study because this method involves describing, recording, analyzing and interpreting conditions that exist. It also includes some forms of comparison and contrast and discovers relationship between existing non-manipulative variables. The respondents are two classes enrolled in Basic Mathematics and Contemporary Mathematics for the SY 2014-2015. Their attitude towards Mathematics were obtained using an attitude inventory, their IQ and CAT Math results were obtained from the Guidance Office and their performance were taken from their final grade in Mathematics. The attitude of students toward Mathematics and their performance in Mathematics were described, analyzed, compared, and interpreted.&nbsp; Mean was used to describe the attitude and performance in Mathematics. Furthermore, the relationship of the aforementioned variables will be obtained. Hence, the use of statistics of correlation under descriptive method was also used.</p> <p><strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </strong>The following are the salient findings of this study: Majority of the Mathematics students are females with fair to good performance in the Math CAT and IQ level. The students have positive to highly positive attitude towards Mathematics. The students have very good performance in Mathematics.IQ and CAT performance are significantly correlated with Mathematics performance. CAT significantly correlates with attitude and attitude is significantly correlated with Mathematics performance.</p> <p>In the light of the above-stated findings, the following conclusions are drawn: The Math classes are dominated with females who have only fairly satisfactory to satisfactory IQ levels and performance in the CAT along Mathematics. A greater majority of the students find mathematics enjoyable, interesting and fun. Most of the students have acquired the needed competencies in Mathematics. They are good in computation, comprehension and problem solving. Those who have high IQ and high CAT results perform excellently in Mathematics. The better is the attitude towards Mathematics the higher is the performance in the subject. Attitude has a positive impact of performance in Mathematics.</p> <p>Based on the conclusions, the researcher offered the following recommendations: Teachers are encouraged to customize their instruction and improve the use of modernized and innovative teaching techniques and strategies to enhance performance and attitude of students toward Mathematics. The Mathematics teachers especially the Math Club Adviser should consider the implementation of the Action Plan to improve attitude and performance in Mathematics. The administrators should support the implementation of the Action Plan by providing the opportunities and logistics for its accomplishment. The Action Plan should be considered for adoption by other HEIs in La Union with the administrators and Head of Mathematics Department planning its mechanics of implementation. A research on the effectiveness of the proposed action plan when implemented be conducted as basis for revisions and improvement.</p> Dr. Nora A. Oredina , Ms. Marife C. Cariaso , Ms. Mary Rose M. Delmendo , Ms. Christine L. Baduad , Dr. Rosita P. Abubo Copyright (c) 2024 Author https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/7535 Mon, 20 May 2024 00:00:00 +0000 ENHANCING ARITHMETIC OPERATIONS IN C++ THROUGH VEDIC MATHEMATICS PRINCIPLES https://www.turcomat.org/index.php/turkbilmat/article/view/14702 <p>Vedic mathematics is a relatively recent subject of study that requires integration with other areas of study. It is a collection of formulas taken from ancient Vedic scriptures. Here, we have combined Vedic mathematics with computer science. Specifically, we have created C++ programmes utilising two Vedic mathematics sutras:</p> <ol> <li>URDHVA TIRYAGBHYAM (Sutra-3)</li> <li>SQUARE BY DUPLEX (4-DIGITS).</li> </ol> <p>These two techniques speed up computations compared to more conventional techniques. We can discover the product and square of huge numbers with ease and with fewer errors when we use these two sutras.<br><br></p> Rashmi Yadav, Shivam Sharma, S.R. Singh Copyright (c) 2024 Author https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14702 Mon, 20 May 2024 00:00:00 +0000 DETECTION OF FRAUDULENT PHONE CALLS DETECTION IN MOBILE APPLICATIONS https://www.turcomat.org/index.php/turkbilmat/article/view/14644 <p><span class="fontstyle0">The primary challenge faced over the course of this decade-long endeavour is the difficulty in devising effective features without direct access to telephony network infrastructure. we conducted an extensive three-month measurement study using these call logs, which encompassed a staggering 9 billion records. Based on the insights gleaned from this study, we identified and designed 29 features that could be used by machine learning algorithms to predict malicious calls. Fraudulent phone calls or scams and spam s via telephone or mobile phone have become a common threat to individuals and organizations. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools in detecting and analyzing fraud or malicious calls. This paper presents an overview of AI-based fraud or spam detection and analysis techniques, along with its challenges and potential solutions. The novel fraud call detection approach is proposed that achieved high accuracy and precision. The outcomes revealed that the most effective approach could reduce unblocked malicious calls by up to 90%, while maintaining a precision rate exceeding 93.79% for benign call traffic. Moreover, our analysis demonstrated that these models could be implemented efficiently without incurring significant latency overhead.</span></p> Dr K. BHARGAVI, B. MITHILA SHIVANI Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14644 Mon, 20 May 2024 00:00:00 +0000 Spectrum Sensing Using Cooperative Matched Filter Detector in Cognitive Radio https://www.turcomat.org/index.php/turkbilmat/article/view/14632 <p>The vast rise in the number of internet-connected devices necessitates a more accessible spectrum. As a result, Cognitive Radio was already proposed as a solution to the problem of restricted spectrum resources by utilizing available spectrum which is assigned to primary users. This method allows the secondary user to utilize the spectrum whenever the primary user is not using it, and it does so without intruding with the primary user. Whenever the secondary user detects the spectrum, it faces many issues, such as complexity in sensing, leading to a lack of noise value, and the primary user is hidden to all secondary users. In order to tackle these challenges, many spectrum sensing frameworks were introduced in the literature. In this paper, an adaptive threshold matched filter detector and a cooperative matched filter detector frameworks are utilized to detect the spectrum and resolve the issues above. The probability of detection (Pd), probability of miss detection (Pm), and probability of false alarm (Pf) are the metrics used to assess sensing accuracy. To simulate suggested detectors results and proficiency, the MATLAB R2020a software was utilized. In comparison to earlier studies, the simulation conclusions reveal that the detection process starts with lower SNR values compared to previous work.</p> Gaith Khalil, Ayoob Aziz, Zozan Ayoub Copyright (c) 2024 Gaith Khalil, Ayoob Aziz, Zozan Ayoub https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14632 Mon, 20 May 2024 00:00:00 +0000 Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET https://www.turcomat.org/index.php/turkbilmat/article/view/14633 <p>Intelligent Transportation Systems (ITS) encompasses technologies, services, and applications facilitating communication between vehicles (V2V) and between vehicles and fixed infrastructure (V2I and I2V). This mutual interaction constitutes a Vehicular Ad-Hoc Network (VANET) which supports a plethora of applications targeting critical transportation aspects, such as safety, mobility, and environmental considerations. Dedicated Short Range Communications (DSRC), operating on the 5.9 GHz band, is pivotal for such exchanges. We introduced an innovative algorithm designed to identify jamming attacks and transition the Safety Application to a secure fail-safe mode. This algorithm leverages a dual-metric strategy, incorporating both distance and PDR measurements. Field tests confirm that our algorithm adeptly recognizes the activities of deceptive jammers, ensuring a prompt shift of the safety application into its fail-safe state. This paper delves into these countermeasures, evaluating their efficiency via mathematical modeling, simulations, and on-ground testing. Findings acknowledge that these strategies bolster the reliability of safety applications in jamming scenarios. Furthermore, the approaches propounded align with ongoing standardization endeavors by relevant authorities, ensuring communication mediums remain unhindered.</p> <p>&nbsp;</p> Gaith Khalil, Ayoob Aziz, Zozan Ayoub Copyright (c) 2024 Gaith Khalil, Ayoob Aziz, Zozan Ayoub https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14633 Fri, 24 May 2024 00:00:00 +0000 EFFECTS OF ETHNO-MATHEMATICS INSTRUCTIONAL APPROACH AND PROBLEM-BASED LEARNING STRATEGY ON STUDENTS’ INTEREST, ACHIEVEMENT AND RETENTION IN GEOMETRY IN BENUE STATE, NIGERIA https://www.turcomat.org/index.php/turkbilmat/article/view/14685 <p><span class="fontstyle0">This study examined the effects of the Ethno-mathematics instructional approach and Problem-based learning strategy on students' interest, achievement, and retention in geometry in Benue State, Nigeria. Quasi-experimental design involving pretest, posttest, and post-posttest with two experimental groups and one control group. Twelve research questions guided the study and twelve hypotheses were tested at 0.05 level of significance. The population comprised 20,213 Junior Secondary Two (JS II) students, with a sample of 1,200 students selected using simple random sampling. Two instruments were used for data collection namely; Geometry Interest Ratings Scale and Geometry Achievement Test. Content validity index for GIRS was 0.78 and construct validity for GAT was 0.88. The reliability of GIRS was tested using Cronbach Alpha formula which yielded an index of 0.81 and K-R</span><span class="fontstyle0">21 </span><span class="fontstyle0">was used to determine the reliability index of GAT which yielded an index of 0.75. Data were analyzed using mean and standard deviation for research questions and Analysis of Covariance (ANCOVA) for hypotheses The findings indicated a significant difference in the mean interest ratings of students taught geometry using the ethno-mathematics instructional approach, problem-based learning strategy, and conventional teaching approach. However, no significant difference was found in the mean interest scores between male and female students taught geometry using the ethnomathematics instructional approach or problem-based learning strategy. Additionally, there was a significant difference in the mean achievement and retention scores of students taught geometry using these approaches compared to the conventional teaching approach. No significant difference was found in the mean achievement or retention scores between male and female students taught using these approaches. The ANCOVA result on the interaction effect between methods and gender on retention indicates that there is no significant interaction effect between Ethno-mathematics instructional approach, Problem-based learning strategy and gender on retention. Based on the findings of this study, it is recommended that: Students should be subjected to consistent utilisation of ethno-mathematical operations within their culture, adoption of the ethno-mathematics instructional approach in the school system, and training of mathematics teachers in the use of ethno-mathematics instructional approach to improve students' interest, achievement and retention in geometry.</span> </p> ADAMU GARBA Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14685 Mon, 20 May 2024 00:00:00 +0000 Computing the Plankton-Oxygen Dynamics Model Using Deep Neural Networks in the Context of Climate Change https://www.turcomat.org/index.php/turkbilmat/article/view/14537 <p>This study proposes a novel approach to computing the plankton-oxygen dynamics model using deep neural networks (DNNs) within the context of climate change. By leveraging advanced computational methods, particularly deep learning algorithms, we aim to enhance our understanding of how plankton populations and oxygen concentrations interact in response to changing environmental conditions. The integration of DNNs offers several advantages, including the ability to capture complex nonlinear relationships and patterns from large datasets, making them well-suited for modeling dynamic systems such as aquatic ecosystems. By training DNNs on observational data and environmental variables, we can develop predictive models that simulate the behavior of plankton-oxygen dynamics under different climate scenarios. This research builds upon existing studies in ecological modeling and deep learning techniques to advance our knowledge of plankton-oxygen dynamics and their implications for ecosystem resilience in the face of climate change. By computationally modeling these dynamics, we can gain valuable insights into the mechanisms driving ecosystem responses to environmental stressors and inform conservation efforts and policy decisions.</p> <p>&nbsp;</p> Noorzaman Bawari , Shukrullah Wadeer, Janat Akbar Olfat, Mohammad Jawad Niazi, Nazar Mohammad Nazari, Zardar Khan Copyright (c) 2024 Noorzaman Bawari , Shukrullah Wadeer, Janat Akbar Olfat, Mohammad Jawad Niazi, Nazar Mohammad Nazari, Zardar Khan https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14537 Mon, 20 May 2024 00:00:00 +0000 Impact of Climate Change on Arctic Fox Population Dynamics: A Mathematical Modeling Approach https://www.turcomat.org/index.php/turkbilmat/article/view/14538 <p>This study focuses on the impact of climate change on Arctic fox populations using mathematical modeling. The research employs a basic Lotka-Volterra-style model to simulate the effects of temperature, precipitation, and snow cover on the Arctic fox population dynamics. The model is based on the assumption that the population growth rate is limited by the carrying capacity of the environment and is influenced by these environmental factors. The study provides insights into the complex relationship between environmental factors and population changes, highlighting the need for more sophisticated models to holistically understand the impact of climate change on ecosystems. The findings underscore the importance of mathematical models in guiding adaptive strategies for ecosystem management amidst changing climates, emphasizing the necessity for further research to comprehensively address climate-induced challenges and ensure a sustainable future for ecosystems and species.</p> <p>&nbsp;</p> Noorzaman Bawari, Shukrullah Wadeer, Janat Akbar Olfat, Mohammad Jawad Niazi, Nazar Mohammad Nazari, Zardar Khan Copyright (c) 2024 Noorzaman Bawari, Shukrullah Wadeer, Janat Akbar Olfat, Mohammad Jawad Niazi, Nazar Mohammad Nazari, Zardar Khan https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14538 Mon, 20 May 2024 00:00:00 +0000 Chemical Perspectives on the Impact of Climate Change in Afghanistan: A Comprehensive Review https://www.turcomat.org/index.php/turkbilmat/article/view/14650 <p><strong>: </strong>Climate change is a global phenomenon that has significant impacts on various aspects of human life, including the environment, economy, and social well-being. Afghanistan, one of the least developed and most vulnerable countries to climate change, is facing alarming effects due to its high dependence on agricultural livelihoods, fragile environment, poor socio-economic development, high frequency of natural hazards, and over four decades of conflict. This comprehensive review aims to provide an overview of the current state of knowledge on the impact of climate change on Afghanistan's environment, economy, and society, and to highlight the vulnerability of Afghanistan to climate change. The review also explores the chemical composition of air pollutants in Afghan cities, the impact of air and water pollution on human health and the environment, the influence of climate change on soil composition and nutrient availability, and the implications for water resources, including groundwater quality and availability. Finally, the review discusses the chemical aspects of climate change adaptation and mitigation efforts in Afghanistan, focusing on innovative technologies and practices to address climate-related challenges in the country.</p> Zardar Khan, Noorzaman Bawari, Shukrullah Wadeer , Mohammad Jawad Niazi, Nazar Mohammad Nazar, Safir Ullah Aftab Copyright (c) 2024 Zardar Khan, Noorzaman Bawari, Shukrullah Wadeer , Mohammad Jawad Niazi, Nazar Mohammad Nazar, Safir Ullah Aftab https://creativecommons.org/licenses/by/4.0/deed.en https://www.turcomat.org/index.php/turkbilmat/article/view/14650 Mon, 20 May 2024 00:00:00 +0000