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31. Luqman/Luqman, the Wise

31. Luqman/Luqman, the Wise

I/We begin by the Blessed Name of Allah

The Immensely Merciful to all, The Infinitely Compassionate to everyone.

31:01
a. Alif. Lam. Mim.

31:02
a. These are the Messages of the Book - The Divine Qur’an – full of Wisdom.

31:03
a. It is a source of Guidance and a Mercy for those who seek excellence in virtue.

31:04
a. Those who
- establish the Salat/Prayer, and
- pay out the Zakat/annual charity, and
- believe with certainty in the realm of the Hereafter.

31:05
a. It is they who are upon Guidance from their Rabb -The Lord, and
b. it is also they who are going to be the successful in the Hereafter.

31:06
a. And from among the people, there are some who engage in diverting talk over Allah’s Message
- misleading others from the Path of Allah without knowledge, and
- taking it in mockery as well.
b. Those - for them will be a humiliating punishment.

31:07
a. And whenever OUR Messages from The Qur’an are recited to such a person,
b. he turns away arrogantly, as if he had not heard them – almost as if there was deafness in his ears.
c. So give him the good news of a painful punishment.

31:08
a. As for those
- believe, and
- practice righteousness,

b. for them will be Gardens of Delight in Paradise -

31:09
a. living therein forever: never to leave, never to die.
b. This is Allah’s true Promise,
c. for HE is The Almighty, The Wise.

Medical students' perception of online assessment at a private medical college

Introduction: During COVID-19 lockdown, Shalamar Medical College opted for an unproctored online formative assessment. Medical institutes have conducted online assessments before COVID-19 and literature presents contrasting views on its acceptability by teachers and students alike. Objective:  This study aims to determine medical students’ perception of the unproctored online assessments. Methods:  A survey questionnaire was disseminated through Google forms to all MBBS students of SMDC on WhatsApp. Consent to take part in the survey was added to the questionnaire and students consenting to be a part of the survey were requested to fill in the questionnaire. The questionnaire consisted of closed ended as well as open-ended questions. The data was analyzed by IBM SPSS 20. Results:  Network issues are believed to be a major issue in taking online tests (83%) and 45% of the students feel it is more difficult to take an online test. Fifty-eight percent of the students feel it is easy to cheat on online tests. A considerable number of students (P = 0.00) believe that MCQS are more reliable than SEQs. Conclusion:  The results of this study showed that students do not consider online tests as reliable and effective as classroom tests because of network issues, and unconducive environment at home, limited time, and academic dishonesty. However, if they are unavoidable, students would be more receptive to MCQs than SEQs. KEYWORDS: Reliability, cheating, effectiveness, online assessment  

Opinion Mining for Opinion Oriented Information Seeking System

Advancement in technology makes this world a global village. People are connected with one another through social networks or they engage in online hiring or purchasing of products. This makes a drastic change in our industrial working patterns. Today?s market change from service oriented to customer oriented. For this purpose individual first have to look at reviews or user?s opinion about a product, customer?s feedback helps them in hiring or purchasing. Sentiment analysis or opinion mining plays a significant role in decision making process, as this analysis is being used to analyze user?s feeling, attitude and emotional attraction towards a product, social networks or it could be any article or blog. People?s attitude/reviews towards a product could be categorized as negative, positive or neutral. In this research work will mine these customer?s attitudes/opinions/reviews by using machine learning mechanism which helps to enhance the decision making process in order to categorize individual?s attitude in future.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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