scholarly journals THE AWARENESS OF THE MUSLIMS TOWARDS THREATS OF MODERN IDEOLOGY: A STIPULATION

2021 ◽  
Vol 4 (15) ◽  
pp. 71-80
Author(s):  
Ahmad Mujahideen Haji Yusoff ◽  
Muhammad Nasron Yaacob ◽  
Norhidayah Mohamed Hussin
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Core Beliefs ◽  
The Core ◽  
Long Period ◽  
Analysis Methods ◽  
Using Data ◽  
Social Style ◽  
Printed Materials ◽  
Data Analysis Methods

Muslims to this day still face the challenges of modern ideology for a relatively long period of time. The emergence of modern ideologies such as secularism, liberalism, pluralism, and others became a great disaster that could erode the faith of Muslims towards Islam itself. Therefore, this article discusses the concerns of Muslims towards the threat of modern ideology which is a necessity today. This article is fully qualitative using data collection and data analysis methods involving library methods from printed materials using N-Vivo 2.0 software. This article finds that the beliefs of Muslims are increasingly threatened because some Muslims themselves prefer to choose modern ideology as a social style in life rather than Islamic teachings. They are based on modernity and the need for modern progress which indirectly causes Islam to become increasingly alienated from the core beliefs of Muslims. Therefore, Muslims need to be mobilized again to realize the threats and dangers of this modern ideology and return to the practice of the true religion of Islam.

scholarly journals THE POLITENESS IN LANGUAGE AS A METHOD OF COMMUNICATION IN CONVEYING ISLAMIC PREACHING

2020 ◽  
Vol 3 (11) ◽  
pp. 45-52
Author(s):  
Ahmad Mujahideen Haji Yusoff ◽  
Noorhanis Amran
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Positive Impact ◽  
Language Skills ◽  
Communication Process ◽  
Using Data ◽  
Printed Materials ◽  
Communication Methods ◽  
Data Analysis Methods

The politeness of language in the delivery of Islamic Preaching today makes language as one of the methods in the effort to convey Islamic Preaching more effectively. However, it is not as easy as you think because it requires language skills in an effort to improve the quality of communication as a presenter in order to uphold Islamic teachings. However, not all the messages conveyed can be understood and appreciated well by the whole community. This requires an effective communication process in ensuring that the methods implemented are appropriate to the circumstances of the listeners. Therefore, this article explains about the communication methods used in the delivery of Islamic Preaching to the community through language politeness. This article is fully qualitative in nature using data collection and data analysis methods involving library methods from printed materials using N-Vivo 2.0 software. This article finds that the language politeness method plays a very important role in ensuring that the message received by the community is easily accepted and understood and also has a positive impact on the personality of a presenter when they express good and concise words and messages as a quality presenter to its target.

scholarly journals Massive Open Online Course Evaluation Methods: Systematic Review (Preprint)

2019 ◽  
Author(s):  
Abrar Alturkistani ◽  
Ching Lam ◽  
Kimberley Foley ◽  
Terese Stenfors ◽  
Elizabeth R Blum ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Quality Assessment ◽  
Study Design ◽  
Evaluation Methods ◽  
Course Evaluation ◽  
Data Sources ◽  
Massive Open Online ◽  
Analysis Methods ◽  
Data Analysis Methods

BACKGROUND Massive open online courses (MOOCs) have the potential to make a broader educational impact because many learners undertake these courses. Despite their reach, there is a lack of knowledge about which methods are used for evaluating these courses. OBJECTIVE The aim of this review was to identify current MOOC evaluation methods to inform future study designs. METHODS We systematically searched the following databases for studies published from January 2008 to October 2018: (1) Scopus, (2) Education Resources Information Center, (3) IEEE (Institute of Electrical and Electronic Engineers) Xplore, (4) PubMed, (5) Web of Science, (6) British Education Index, and (7) Google Scholar search engine. Two reviewers independently screened the abstracts and titles of the studies. Published studies in the English language that evaluated MOOCs were included. The study design of the evaluations, the underlying motivation for the evaluation studies, data collection, and data analysis methods were quantitatively and qualitatively analyzed. The quality of the included studies was appraised using the Cochrane Collaboration Risk of Bias Tool for randomized controlled trials (RCTs) and the National Institutes of Health—National Heart, Lung, and Blood Institute quality assessment tool for cohort observational studies and for before-after (pre-post) studies with no control group. RESULTS The initial search resulted in 3275 studies, and 33 eligible studies were included in this review. In total, 16 studies used a quantitative study design, 11 used a qualitative design, and 6 used a mixed methods study design. In all, 16 studies evaluated learner characteristics and behavior, and 20 studies evaluated learning outcomes and experiences. A total of 12 studies used 1 data source, 11 used 2 data sources, 7 used 3 data sources, 4 used 2 data sources, and 1 used 5 data sources. Overall, 3 studies used more than 3 data sources in their evaluation. In terms of the data analysis methods, quantitative methods were most prominent with descriptive and inferential statistics, which were the top 2 preferred methods. In all, 26 studies with a cross-sectional design had a low-quality assessment, whereas RCTs and quasi-experimental studies received a high-quality assessment. CONCLUSIONS The MOOC evaluation data collection and data analysis methods should be determined carefully on the basis of the aim of the evaluation. The MOOC evaluations are subject to bias, which could be reduced using pre-MOOC measures for comparison or by controlling for confounding variables. Future MOOC evaluations should consider using more diverse data sources and data analysis methods. INTERNATIONAL REGISTERED REPORT RR2-10.2196/12087

scholarly journals Analysis of ionospheric electrodynamic parameters on mesoscales – a review of selected techniques using data from ground-based observation networks and satellites

2011 ◽  
Vol 29 (3) ◽  
pp. 467-491 ◽  
Author(s):  
H. Vanhamäki ◽  
O. Amm
Keyword(s):  
Data Analysis ◽  
Data Sets ◽  
Practical Applications ◽  
Analysis Methods ◽  
Ionospheric Electrodynamics ◽  
Simplifying Assumptions ◽  
Using Data ◽  
Measured Input ◽  
Data Analysis Methods ◽  
Selection Of

Abstract. We present a review of selected data-analysis methods that are frequently applied in studies of ionospheric electrodynamics and magnetosphere-ionosphere coupling using ground-based and space-based data sets. Our focus is on methods that are data driven (not simulations or statistical models) and can be used in mesoscale studies, where the analysis area is typically some hundreds or thousands of km across. The selection of reviewed methods is such that most combinations of measured input data (electric field, conductances, magnetic field and currents) that occur in practical applications are covered. The techniques are used to solve the unmeasured parameters from Ohm's law and Maxwell's equations, possibly with help of some simplifying assumptions. In addition to reviewing existing data-analysis methods, we also briefly discuss possible extensions that may be used for upcoming data sets.

scholarly journals AL-AF’ĀL AL-INJĀZIYYAH DALAM NOVEL ACHBABTUKA AKTSARA MIN MĀ YANBAGHĪ KARYA ‘ASĪR ‘ABDULLĀH AN-NIMSYĪ: KAJIAN PRAGMATIK

Jurnal CMES ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 137
Author(s):  
Abdul Jawat Nur
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Speech Acts ◽  
Speech Act ◽  
The Novel ◽  
Analysis Methods ◽  
Collection Data ◽  
Directive Speech ◽  
Data Analysis Methods

This paper will discuss al-af’āl al-injāziyyah or illocutionary speech acts in a novel Achbabtuka Aktsara Min Mā Yanbaghī as work 'Asīr ‘Abdullāh an-Nimsyī based on the study of pragmatics. Al-af’āl al-injāziyyah in the novel that need to be investigated as it includes expressions that use illocutionary speech acts. Three methods were used in this study, the method of data collection, data analysis methods, and methods of reporting the results of the data analysis. Based on research that has been conducted, concluded that the novel Achbabtuka Aktsara Min Mā Yanbaghī by 'Asīr ‘Abdullāh an-Nimsyī (2014)  use of various kinds of al-af’āl al-injāziyyah or illocutionary speech acts. These al-af’āl al-injāziyyah are (1) al-ikhbāriyyah (assertive), (2) al-injāziyyah (declarative), (3) al-iltizāmiyyah (commissive), (4) at-ta’bīriyyah (expressive), and (5) at-taujīhiyyāt (directive). Among the five kinds of illocutionary speech acts are the most widely used in novel Achbabtuka Aktsara Min Mā Yanbaghī is a directive speech act or at-taujīhiyyāt.

scholarly journals PEMEROLEHAN FONOLOGI DAN METATESIS: STUDI KASUS PADA ANAK USIA 2 TAHUN 10 BULAN

2016 ◽  
Vol 16 (2) ◽  
pp. 213
Author(s):  
Aria Septi Anggaira
Keyword(s):  
Data Analysis ◽  
Language Acquisition ◽  
Data Collection ◽  
Analysis Data ◽  
Phonetic Transcription ◽  
Analysis Methods ◽  
Three Stages ◽  
Addition And Subtraction ◽  
Data Collection Technique ◽  
Data Analysis Methods

Abstract           This study aimed to describe the phonemes produced by children aged 2 years and 10 months and describes forms of exchange or metathesis sound that occurs in producing the sounds of language in words. The data collection technique use three stages of strategic sequence. These stages are (1) a method of providing data, (2) data analysis methods, and (3) methods of presenting the results of the analysis. Data in the form of speech is transcribed into a phonetic transcription. The findings of this research are: The respondent has been able to produce almost any sounds or phonemes that exist in Indonesian. Phonemes produced consisting of consonant phonemes that are already emerging that a total of 18 phonemes: / b /, / t∫ /, / d /, / g /, / d /, / dj /, / k /, / l /, / m /, / n /, / ŋ /, / ñ /, / p /, / r /, / s /, / t /, / w /, / y /. From the 18 consonant phonemes are emerging, 8 of them have variations, so that the number of phonemes is generated as a whole is 27 consonant phonemes. Respondents have been able to produce six vowel phonemes plus two variations so that all amount to 8 vowel phonemes. It was found five pieces of diphthongs are: / au /, / ai /, / ei /, / o /, and / ua /. In the span of less than one month found 19 words that contain elements of metathesis. From the 19 words, found 5 types or form of an exchange of sounds and sound accompaniment of addition and subtraction.           Keywords: language acquisition, phonology, metathesis, phonemes.

scholarly journals Application of intellectual data analysis methods for digital educational platform

2020 ◽  
pp. 1-5
Author(s):  
Kristina Zhatkina ◽  
Oksana Kreider
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Data Analysis ◽  
Educational Services ◽  
Data Mining Techniques ◽  
Analysis Methods ◽  
The Neural Network ◽  
Competency Based ◽  
Using Data ◽  
Data Analysis Methods

This article describes the possibility of using data mining techniques. In order to join new carpet participants, it is necessary to understand that the system of interaction with them is public educational services. To implement digital educational platforms, it is proposed to create an agent that collects information about sites, and also selects and tests the architecture of the neural network to build an individual trajectory that is trained using the competency-based model.

scholarly journals Clustering daily solar radiation from Reunion Island using data analysis methods

2013 ◽  
pp. 461-466 ◽  
Author(s):  
P. Jeanty ◽  
M. Delsaut ◽  
L. Trovalet ◽  
H. Ralambondrainy ◽  
J.D. Lan-Sun-Luk ◽  
...  
Keyword(s):  
Data Analysis ◽  
Solar Radiation ◽  
Reunion Island ◽  
Analysis Methods ◽  
Réunion Island ◽  
Using Data ◽  
Data Analysis Methods

scholarly journals AL-AFʻĀL AL-INJĀZIYYAH AT-TAUJĪHIYYAH DALAM NOVEL SYAIʻUN FĪ SHADRĪ KARYA ICHSĀN ABDU AL-QUDDŪS: KAJIAN PRAGMATIK

Jurnal CMES ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 143
Author(s):  
Abdul Jawat Nur
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Speech Act ◽  
The Novel ◽  
Data Collection Methods ◽  
Psychological Conditions ◽  
Analysis Methods ◽  
Collection Methods ◽  
Data Analysis Methods

<p>This paper will describe al-afʻāl al-injāziyyah at-taujīhiyyah or acts of directive illocution speech in the novel Syaiʻun fī Shadrī the work of Ichsān 'Abdu Al -Quddūs which is studied based on pragmatic studies. Novel Syaiʻun fī Shadrī is a novel classified as new (2016) in which many expressions containing acts of directive illocution speech. This is the reason for this research. To facilitate the course of research, this research through three strategic stages, namely data collection methods, data analysis methods, and methods of reporting the results of data analysis. Based on research that has been done concluded that in the novel SFS Ichsānby'Abdu Al-Quddūs is used various kinds of the act of directive illocution speech. They are (1) The act of saying thalabiyyah is a request to do or leave something, such as: rule 'amr', ask permission 'isti'zān ', suggests' iqtirāch', warns' tachdzīr ', motivates' tasyjī' ', begs attention' tanbīh, threatens' tahdīd', prays'du'ā', swearing 'qasam' and (2) The act of nafsiyyah speech is a speech act related to psychological conditions, such as motivating, cursing, pitting, and joking.</p>

scholarly journals Massive Open Online Course Evaluation Methods: Systematic Review

10.2196/13851 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e13851 ◽  
Author(s):  
Abrar Alturkistani ◽  
Ching Lam ◽  
Kimberley Foley ◽  
Terese Stenfors ◽  
Elizabeth R Blum ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Quality Assessment ◽  
Study Design ◽  
Evaluation Methods ◽  
Course Evaluation ◽  
Data Sources ◽  
Massive Open Online ◽  
Analysis Methods ◽  
Data Analysis Methods

Background Massive open online courses (MOOCs) have the potential to make a broader educational impact because many learners undertake these courses. Despite their reach, there is a lack of knowledge about which methods are used for evaluating these courses. Objective The aim of this review was to identify current MOOC evaluation methods to inform future study designs. Methods We systematically searched the following databases for studies published from January 2008 to October 2018: (1) Scopus, (2) Education Resources Information Center, (3) IEEE (Institute of Electrical and Electronic Engineers) Xplore, (4) PubMed, (5) Web of Science, (6) British Education Index, and (7) Google Scholar search engine. Two reviewers independently screened the abstracts and titles of the studies. Published studies in the English language that evaluated MOOCs were included. The study design of the evaluations, the underlying motivation for the evaluation studies, data collection, and data analysis methods were quantitatively and qualitatively analyzed. The quality of the included studies was appraised using the Cochrane Collaboration Risk of Bias Tool for randomized controlled trials (RCTs) and the National Institutes of Health—National Heart, Lung, and Blood Institute quality assessment tool for cohort observational studies and for before-after (pre-post) studies with no control group. Results The initial search resulted in 3275 studies, and 33 eligible studies were included in this review. In total, 16 studies used a quantitative study design, 11 used a qualitative design, and 6 used a mixed methods study design. In all, 16 studies evaluated learner characteristics and behavior, and 20 studies evaluated learning outcomes and experiences. A total of 12 studies used 1 data source, 11 used 2 data sources, 7 used 3 data sources, 4 used 2 data sources, and 1 used 5 data sources. Overall, 3 studies used more than 3 data sources in their evaluation. In terms of the data analysis methods, quantitative methods were most prominent with descriptive and inferential statistics, which were the top 2 preferred methods. In all, 26 studies with a cross-sectional design had a low-quality assessment, whereas RCTs and quasi-experimental studies received a high-quality assessment. Conclusions The MOOC evaluation data collection and data analysis methods should be determined carefully on the basis of the aim of the evaluation. The MOOC evaluations are subject to bias, which could be reduced using pre-MOOC measures for comparison or by controlling for confounding variables. Future MOOC evaluations should consider using more diverse data sources and data analysis methods. International Registered Report Identifier (IRRID) RR2-10.2196/12087

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