Turkish Journal of Computer and Mathematics Education (TURCOMAT) https://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> Ninety Nine Publication en-US Turkish Journal of Computer and Mathematics Education (TURCOMAT) 3048-4855 <h3>Licensing </h3> <p>TURCOMAT publishes articles under the <a title="Creative Commons Attribution 4.0 International License (CC BY 4.0)" href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank" rel="noopener">Creative Commons Attribution 4.0 International License (CC BY 4.0)</a>. This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge. </p> <h4>Detailed Licensing Terms </h4> <p>Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. </p> <p>No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. </p> DETECTION OF FRAUDULENT PHONE CALLS DETECTION IN MOBILE APPLICATIONS https://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 2024-05-20 2024-05-20 15 2 1 5 10.61841/turcomat.v15i2.14644 Spectrum Sensing Using Cooperative Matched Filter Detector in Cognitive Radio https://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 2024-05-20 2024-05-20 15 2 6 29 10.61841/turcomat.v15i2.14632 Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET https://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 2024-05-24 2024-05-24 15 2 30 64 10.61841/turcomat.v15i2.14633 EFFECTS OF ETHNO-MATHEMATICS INSTRUCTIONAL APPROACH AND PROBLEM-BASED LEARNING STRATEGY ON STUDENTS’ INTEREST, ACHIEVEMENT AND RETENTION IN GEOMETRY IN BENUE STATE, NIGERIA https://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 2024-05-20 2024-05-20 15 2 65 89 10.61841/turcomat.v15i2.14685