FACEBOOK AND ENGLISH LANGUAGE LEARNING: EFL LEARNERS’ EXPERIENCES (A QUALITATIVE STUDY)

The purpose of this quantitative study was to identify the EFL learners’ practices and understand their experiences with SNSs (social networking sites) as a tool for English language learning. The study results were obtained from a survey of 144 undergraduate Jordanian EFL learners in the English and Translation Departments at Yarmouk University in Jordan. In the quantitative phase of the study, the research questions focused on the actual practices and strategies of EFL students on SNSs. This study was guided by the following research questions: To what extent do Jordanian EFL learners use Facebook as a tool for language learning? And what language learning practices do Jordanian EFL learners engage in on Facebook? The results revealed that most participants felt comfortable using Facebook in English language learning. However, less than half of them used Facebook on a regular basis to learn English. In addition, they tended to read and observe discussions in English rather than participate in them or produce language output. The results also revealed that learners’ practices or behaviors in the SNS environment changed depending on certain factors, such as the context, audience, sense of belonging, self – confidence, and the learners’ needs and interests. The results of the study brought to light some implications in the context of formal and informal language learning. The study might raise learner, teacher, and educator awareness about SNSs as a tool for language learning, particularly for countries with limited resources. The results also showed the need for a theoretical and pedagogical framework for the teaching and learning process that identifies the best practices and ways to avoid any harm in a SNS environment. Integrating SNSs in language teaching and learning is a topic that requires further study. Using SNSs inside and outside the classroom to practice different language skills is an important topic for future research.  Article visualizations

SOCIAL NETWORKING SITES AND ENGLISH LANGUAGE LEARNING: JORDANIAN EFL LEARNERS’ PRACTICES AND EXPERIENCES

The purpose of this qualitative study was to identify the EFL learners’ practices and understand their experiences with SNSs (social networking sites) as a tool for English language learning. The study was conducted in richer information and a deeper insight was gained through a qualitative case study. In the qualitative phase, 12 participants were purposefully selected and interviewed in order to explain further the statistical results, develop a rich descriptive picture of their lived experiences using social networking to improve their English language learning, and identify the factors and barriers that influence their practices. This study was guided by the following research question: How do these Facebook practices affect their language learning experiences? The results revealed that most participants felt comfortable using Facebook in English language learning. However, less than half of them used Facebook on a regular basis to learn English. In addition, they tended to read and observe discussions in English rather than participate in them or produce language output. The results also revealed that learners’ practices or behaviors in the SNS environment changed depending on certain factors, such as the context, audience, sense of belonging, self – confidence, and the learners’ needs and interests.  Article visualizations

THE APPLICATION OF METACOGNITION, COGNITIVISM, AND CONSTRUCTIVISM IN TEACHING WRITING SKILLS

Writing performance competence is not a process in which teachers transmit knowledge to students, but one in which students construct their writing performance competence on their own initiative. This article proposes a novel approach to the investigation of student writing ability. It applies theories of Cognitivism, Constructivism, metacognition, and self-regulated learning to understand how beginning writers develop the ability to participate in the communicative practices of academic written communication and develop rhetorical consciousness. This paper advocates both teaching with metacognition and teaching for metacognition. To teach with metacognition, an EFL writing instructor should reflect upon his or her own teaching, and possess both metacognitive strategic knowledge and executive management strategies. When instructors teach for metacognition, students can learn about what the strategies are, how to use the strategies, when and why to apply the strategies, and as a result, learn to regulate their cognitive and constructivism activities.  Article visualizations

A Novel Edge Detection Algorithm for Mobile Robot Path Planning

A novel detection algorithm for vision systems has been proposed based on combined fuzzy image processing and bacterial algorithm. This combination aims to increase the detection efficiency and reduce the computational time. In addition, the proposed algorithm has been tested through real-time robot navigation system, where it has been applied to detect the robot and obstacles in unstructured environment and generate 2D maps. These maps contain the starting and destination points in addition to current positions of the robot and obstacles. Moreover, the genetic algorithm (GA) has been modified and applied to produce time-based trajectory for the optimal path. It is based on proposing and enhancing the searching ability of the robot to move towards the optimal path solution. Many scenarios have been adopted in indoor environment to verify the capability of the new algorithm in terms of detection efficiency and computational time

Word-based encryption algorithm using dictionary indexing with variable encryption key length

This paper proposes a new algorithm for text encryption utilizing English words as a unit of encoding. The algorithm vanishes any feature that could be used to reveal the encrypted text through adopting variable code lengths for the English words, utilizing a variable-length encryption key, applying two-dimensional binary shuffling techniques at the bit level, and utilizing four binary logical operations with randomized shuffling inputs. English words that alphabetically sorted are divided into four lookup tables where each word has assigned an index. The strength of the proposed algorithm concluded from having two major components. Firstly, each lookup table utilizes different index sizes, and all index sizes are not multiples of bytes. Secondly, the shuffling operations are conducted on a two-dimensional binary matrix with variable length. Lastly, the parameters of the shuffling operation are randomized based on a randomly selected encryption key with varying size. Thus, the shuffling operations move adjacent bits away in a randomized fashion. Definitively, the proposed algorithm vanishes any signature or any statistical features of the original message. Moreover, the proposed algorithm reduces the size of the encrypted message as an additive advantage which is achieved through utilizing the smallest possible index size for each lookup table

A Unified Performance Framework for Integrated Sensing-Communications based on KL-Divergence

The need for integrated sensing and communication (ISAC) services has significantly increased in the last few years. This integration imposes serious challenges such as joint system design, resource allocation, optimization, and analysis. Since sensing and telecommunication systems have different approaches for performance evaluation, introducing a unified performance measure which provides a perception about the quality of sensing and telecommunication is very beneficial. To this end, this paper provides performance analysis for ISAC systems based on the information theoretical framework of the Kullback-Leibler divergence (KLD). The considered system model consists of a multiple-input-multiple-output (MIMO) base-station (BS) providing ISAC services to multiple communication user equipments (CUEs) and targets (or sensing-served users). The KLD framework allows for a unified evaluation of the error rate performance of CUEs, and the detection performance of the targets. The relation between the detection capability for the targets and error rate of CUEs on one hand, and the proposed KLD on the other hand is illustrated analytically. Theoretical results corroborated by simulations show that the derived KLD is very accurate and can perfectly characterize both subsystems, namely the communication and radar subsystems

Design of Multiregional Supervisory Fuzzy PID Control of pH Reactors

This work concerns designing multiregional supervisory fuzzy PID (Proportional-Integral-Derivative) control for pH reactors. The proposed work focuses, mainly, on two themes. The first one is to propose a multiregional supervisory fuzzy-based cascade control structure. It would enable modifying dynamics and enhance system’s stability. The fuzzy system (master loop) has been chosen as a tuner for PID controller (slave loop). It takes into consideration parameters uncertainties and reference tracking. The second theme concerns designing a hybrid neural network-based pH estimator. The proposed estimator would overcome the industrial drawbacks, that is, cost and size, found with conventional methods for pH measurement. The final end-user-interface (EUI) front panel and the results that evaluate the performance of the supervisory fuzzy PID-based control system and hybrid NN-based estimator have been presented using the compatibility found between LabView and MatLab. They lead to conclude that the proposed algorithms are appropriate to systems nonlinearities encountered with pH reactors

Accurate Reader Identification for the Arabic Holy Quran Recitations Based on an Enhanced VQ Algorithm

The Speaker identification process is not a new trend; however, for the Arabic Holy Quran recitation, there are still quite improvements that can make this process more accurate and reliable. This paper collected the input data from 14 native Arabic reciters, consisting of “Surah Al-Kawthar” speech signals from the Holy Quran. Moreover, this paper discusses the accuracy rates for 8 and 16 features. Indeed, a modified Vector Quantization (VQ) technique will be presented, in addition to realistically matching the centroids of the various codebooks and measuring systems’ effectiveness. Note that the VQ technique will be utilized to generate the codebooks by clustering these features into a finite number of centroids. The proposed system’s software was built and executed using MATLAB®. The proposed system’s total accuracy rate was 97.92% and 98.51% for 8 and 16 centroids codebooks, respectively. However, this study discussed two validation tactics to ensure that the outcomes are reliable and can be reproduced. Hence, the K-mean clustering algorithm has been used to validate the obtained results and discuss the outcomes of this study. Finally, it has been found that the improved VQ method gives a better result than the K-means method