MQVC: Measuring Quranic Verses Similarity and Sura Classification Using N-Gram

Extensive research efforts in the area of Information Retrieval were concentrated on developing retrieval systems related to Arabic language for the different natural language and information retrieval methodologies. However, little effort was conducted in those areas for knowledge extraction from the Holly Muslim book, the Quran. In this paper, we present an approach (MQVC) for retrieving the most similar verses in comparison with a user input verse as a query. To demonstrate the accuracy of our approach, we performed a set of experiments and compared the results with an evaluation from a Quran Specialist who manually identified all relevant chapters and verses to the targeted verse in our study. The MQVC approach was applied to 70 out of 114 Quran chapters. We picked 40 verses randomly and calculated the precision to evaluate the accuracy of our approach. We utilized N-gram to extend the work by performing experiment with machine learning algorithm (LibSVM classifier in Weka), to classify Quran chapters based on the most common scholars classification: Makki and Madani chapters

Psychometric Properties of an Instrument Developed to Assess Students’ Evaluation of Teaching in Higher Education

Student evaluation of teaching is a global predominant practice in higher education institutions. Therefore, a major university in Jordan developed a questionnaire for students’ use in evaluating their instructors’ teaching effectiveness.  Since student evaluation of teaching is an important process, the present study tried to examine the psychometric properties of the instrument. Item-total correlations showed acceptable internal consistency. In addition, a two-factor structure of the scale (teaching effectiveness and course attributes) was supported by exploratory factor analysis and confirmatory factor analysis from two independent samples. Convergent validity was supported by a moderate correlation coefficient between course averages of students’ ratings on the first factor and course averages of students’ final grades in each course. Finally, students’ responses on the factor that captures teaching effectiveness were found to have very high internal consistency (Cronbach’s alpha of 0.96). However, this instrument lacks evidences of content validity and convergent validity. Therefore, it is important to be cautious in evaluating faculty members and making promotion decisions that is based solely on the scores obtained using this instrument.

Test Cases Selection Based on Source Code Features Extraction

Extracting valuable information from source code automatically was the subject of many research papers. Such information can be used for document traceability, concept or feature extraction, etc. In this paper, we used an Information Retrieval (IR) technique: Latent Semantic Indexing (LSI) for the automatic extraction of source code concepts for the purpose of test cases\u27 reduction. We used and updated the open source FLAT Eclipse add on to try several code stemming approaches. The goal is to check the best approach to extract code concepts that can improve the process of test cases\u27 selection or reduction

Is it suitable to use the same categorization in rating scales when applied to students with distinctive levels of achievement?

This study examined the efficiency of using the same rating scale categories in measuring affective constructs for students with distinctive levels of achievement. Data used in this study came from the Trends in Mathematics and Science Study (TIMSS) 2011, as a case, on the three scales that were designed to measure eighth graders\u27 attitudes towards science. Data from the four higher and the four lower science performing countries were analyzed using Rasch model. Results revealed that the use of a four-point rating scale appears to be appropriate for some of the higher performing countries; however, it was not appropriate for the lower performing countries. In addition, category functioning and distances between threshold estimates differed by whether the country was a higher or a lower performing country; distances between threshold estimates were too close for the lower performing countries as compared to the higher performing countries. The findings of the current study question the utility of using these scales for a cross-national sample and deducing results concerning the samples’ agreeability to the construct of attitudes towards science

Factors affecting intention to breastfeed among Syrian and Jordanian mothers: a comparative cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Breastfeeding is considered the ideal method of infant feeding for at least the first six months of life. This study aimed to compare breastfeeding intention between Syrian and Jordanian women and determine factors associated with breastfeeding intention among pregnant women in these two countries.</p> <p>Methods</p> <p>A cross-sectional design was used to collect data from1200 pregnant women aged 18 years and above (600 participants from each country). A self- administered questionnaire was used to collect data on socio-demographic characteristics and breastfeeding intention.</p> <p>Results</p> <p>Intention to breastfeed was reported by 77.2% of Syrian and 76.2% of Jordanian pregnant women. There was no significant difference in intention to breastfeed between Syrian women and Jordanian women. In both countries, women with a more positive attitude to breastfeeding, women with previous breastfeeding experience and women with supportive partners were more likely to intend to breastfeed. Syrian women with a monthly family income of more than US$200, younger than 25 and primiparous or having one child were more likely to report an intention to breastfeed their infants. Jordanian women with an education level of less than high school and not living with their family-in-law were more likely to intend to breastfeed.</p> <p>Conclusions</p> <p>In Syria and Jordan, a more positive attitude to breastfeeding, previous breastfeeding experience and presence of supportive husbands are associated with intention to breastfeed. These factors should be considered when planning programs designed to promote breastfeeding in these two countries.</p

Nutritional Habits and Weight Status among Jazan University Students: Eating Patterns and Healthy lifestyle Assessment

Objectives The purposes of this study were to assess the prevalence of underweight, overweight, and obesity and to evaluate the nutritional habits, and related factors among the Students of Jazan University. Methods This cross-sectional study was carried out during the academic year 2014/2015 in Jazan University, Gizan, South West Saudi Arabia. A total of 436 students 19–25 y of age were examined. The questionnaires, including items on eating habits, lifestyle, and socio-demographic characteristics, were completed by the students. Data on weight, height were also collected.&nbsp; The data were analyzed using descriptive statistics and chi-square test. Differences were considered statistically significant at&nbsp;P. value &nbsp;&lt; 0.05. Results The mean weight for males and females were 67.84 and 54.79 kg respectively, with significant differences between males and females (P. value &lt;0.05). The mean BMI for all study participants was reported as 23.31 (kg/m²), also with significant difference between the males and females groups. About 45% of the students were of normal weight; the rate of obesity and underweight among students was very high (33.6% and 21.1% respectively), and their dietary habits were unhealthy. Regularity of meals was found only among (16.5% and 20.4%) males and females respectively. 83.3% of males and 95.1% of females reported eating snacks during the day. Conclusion The results of this study suggest that the prevalence of overweight and obesity were very high among the studied students. The study showed the need for health education programs on nutritional education in universities in order to increase awareness of students towards healthy eating and lifestyle. &nbsp

Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study

Recently audio and video material has been used significantly in various online platforms. The audio-video materials enhance the teaching and learning process by facilitating the transformation of the data and providing a richer interactive environment, hence gaining wide intention within the educational realm. However, empirical studies have not examined the acceptance of the audio and video material depending on a conceptual model where acceptance is the key factor. The present study attempts to overcome this gap in the literature review by investigating the effects of media richness, speed and vividness, perceived concentration, perceived ease of use, perceived usefulness on the acceptance of audio-video material. What distinguishes the current study is the fact that content richness is considered as a mediator that affects all other factors in the conceptual model. The data is collected by distributing the online survey to college students. The results provide mostly insight and support for students’ intention to use audio-visual resources in a conceptual model. The technology characteristics of speed and vividness as well as TAM constructs were significant predictors of technology acceptance. However, it is concluded that the external factor of the perceived concentration has no impact on the students’ perception and intention to use audio-visual resources. In the recommendation, some theoretical and practical implications are stated along with the focus on technology designers, change managers, and users

The effectiveness of online platforms after the pandemic : will face-to-face classes affect students’ perception of their Behavioural Intention (BIU) to use online platforms?

The purpose of this study is to investigate students’ intention to continue using online learning platforms during face-to-face traditional classes in a way that is parallel to their usage during online virtual classes (during the pandemic). This investigation of students’ intention is based on a conceptual model that uses newly used external factors in addition to the technology acceptance model (TAM) contrasts; hence, it takes into consideration users’ satisfaction, the external factor of information richness (IR) and the quality of the educational system and information disseminated. The participants were 768 university students who have experienced the teaching environments of both traditional face-to-face classes and online classes during the pandemic. A structural equation modelling (SEM) test was conducted to analyse the independent variables, including the users’ situation awareness (SA), perceived ease of use, perceived usefulness, satisfaction, IR, education system quality and information quality. An online questionnaire was used to explore students’ perceptions of their intention to use online platforms accessibly in a face-to-face learning environment. The results showed that (a) students prefer online platforms that have a higher level of content richness, to be able to implement the three dimensions of users’ situation awareness (perception, comprehension and projection); (b) there were significant effects of TAM constructs on students’ satisfaction and acceptance; (c) students are in favour of using a learning platform that is characterised by a high level of educational system quality and information quality and (d) students with a higher level of satisfaction have a more positive attitude in their willingness to use the online learning system

A generalized model for smartphone adoption and use in an Arab context: A cross-country comparison

The main aim of this research is to propose a conceptual model that explains the factors that can predict behavioral intention to use smartphones and the actual use of smartphones by young Arab consumers in three Arab countries: Iraq, Jordan, and the United Arab Emirates (U.A.E.). The findings indicate that the proposed extended model fits well in the three countries. The research provides information that can help policymakers and mobile companies