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க.பொ.த (உ/த) விஞ்ஞானப்பிரிவு மாணவர்களின் கற்றல் திறனில் (Study Skills) செல்வாக்கு செலுத்தும் காரணிகள் தொடர்பான ஆய்வு
No full textஇவ்வாய்வானது க.பொ.த (உ/த) விஞ்ஞானப்பிரிவு மாணவர்களின்
கற்றல் திறனில் செல்வாக்கு செலுத்தும் காரணிகள் தொடர்பான ஒரு பகுப்பாய்வாகும்.
இவ்வாய்வானது சம்மாந்துறை கல்வி வலயத்திலுள்ள சம்மாந்துறைக்கோட்டத்தில்
காணப்படும் மூன்று 1 AB பாடசாலைகளில் விஞ்ஞானப்பிரிவில் கற்கும் மாணவர்களை
அடிப்படையாக கொண்டது. பாடசாலையின் மாணவர்களின் எண்ணிக்கையானது
படையாக்கப்பட்ட எழுமாற்று மாதிரி (stratified random sample) மூலம்
தீர்மானிக்கப்பட்டது. இதில் ஒவ்வொரு பாடசாலையிலும் உள்ள க.பொ.த (உ/த)
விஞ்ஞான பிரிவு மாணவர்களின் மொத்த எண்ணிக்கைக்கமைய விகித அடிப்படையில்
முறையாக்கப்பட்ட எழுமாற்று மாதிரி (Systematic random sample) மூலம்
ஆய்வுக்கான மாணவர்கள் தெரிவு செய்யப்பட்டனர். இதன் அடிப்படையில் மாதிரியாக
110 மாணவர்கள் தெரிவுசெய்யப்பட்டனர். இவ்வாய்வுக்காக கற்றல் திறனை அளவீடு
செய்வதற்கு Dennis.H. Congos (2011), Student Academic Resource Center,
University of Central Florida ஆல் உருவாக்கப்பட்ட கற்றல் திறன் வினாப்பட்டியல்
(Study Skills Inventory) ஆய்வாளரினால் பயன்படுத்தப்பட்டது. இது தமிழில்
மொழிபெயர்க்கப்பட்டு தெரிவு செய்யப்பட்ட மாணவர்களுக்கு வழங்கப்பட்டது.
பெறப்பட்ட தரவுகள் Excel மற்றும் SPSS மென்பொருளிகள் மூலம் பகுப்பாய்வு
செய்யப்பட்டு கருதுகோள்கள் வாய்ப்புப்பார்க்கப்பட்டன. இதன் போது
மாறிகளுக்கிடையிலான தொடர்பினைக்காட்டுவதற்கான ’‘t’ மற்றும் ‘F’ ’ பெறுமானங்கள்
கணிப்பிடப்பட்டு முடிவுகள் பெற்றுக்கொள்ளப்பட்டன. இவ்வாய்வானது பின்வரும்
முடிவுகளை பெற்றுக்கொள்ள உதவியது. மாணவர்களின் கற்றல் திறனுக்கும் அவர்கள்
கற்கும் பாடத்துறைக்குமிடையில் தொடர்பு காணப்படவில்லை. மேலும் மாணவர்களின்
கற்றல் திறனில் அவர்களின் தந்தையின் கல்வித்தகைமை செல்வாக்கு
செலுத்தவில்லையாயினும் தாயின் கல்வித்தகைமை செல்வாக்கு செலுத்துவதை
பகுப்பாய்வு முடிவுகள் வெளிப்படுத்துகின்றது. மாணவர்களின் பால் ரீதியான
வேறுபாட்டிற்கும் மாணவர்களின் கற்றல் திறனுக்குமிடையே பொருண்மிய வேறுபாடு
காணப்படுகின்றது. ஆண் மாணவர்களை விட பெண் மாணவர்கள் கற்றல் திறனில்
சிறப்பாக காணப்படுகின்றனர்
Morbidity variations in Jaffna society - a pre-Covid scenario against – regional disparity and socio-economic status
Get PDFThis study focuses on regional variations and
socio-economic differentials of morbidity that
prevailed in Jaffna society during a period prior
to Covid-19 pandemic. A sample of 6388 persons
of 1123 derived families of siblings of the sample
of Jaffna Socio-Economic Health Study was
followed. The incidence and prevalence of acute
and chronic illnesses reported during 2018 were
subjected to statistical analysis. In addition,
various treatments, including medical and
surgical admissions, by clinical and hospital
episodes were recorded and analyzed to see the
intensity of health issues. Correspondence
analysis was applied to see relationships between
“groups of diseases” and “types of treatments” to
explore regional variations and socioeconomic
differentials in Jaffna society. Clear pictures of
groups of diseases were found for current and
future research for comparative analysis in postCovid situation that will be included with the
major episodes of respiratory diseases, popularly
known as Corona. The gravity and intensity of
acute and chronic diseases such as infections,
parasitic diseases, neoplasms, diseases of
endocrine-immune mechanism-nutritionalmetabolism etc. reported on the patients were
analyzed and reported. Impacts on the severity, by
geographical variations and socio-economic
differentials, of Jaffna society required health
services are clearly emphasized. Specific
attention is drawn to the health professionals from
this study in the Jaffna society that the people who
had already been affected due to Respiratory
system diseases, Circulatory system diseases and
Diseases of the immune mechanism were
considerably high and would be vulnerable in
future Covid research
Consumers trusting beliefs and intention to continue online purchases through social commerce.
Get PDFPurpose: The current paper aims to explores the impact of consumers trusting
beliefs on the intention to continue making purchases through social commerce
Design/methodology/approach: The responses from the consumers were
collected through the online survey by distributing a questionnaire via Google
Form and received 600 responses. The collected responses were scrutinized and
discarded 23 responses due to the responses were not filled properly. However,
the study used the rest 577 samples for this research. This study uses purposive
sampling of people who are directed to have social media accounts and who have
made purchases via social interaction at least once with data taken from surveys.
Findings: This study proves that all trusting belief constructs are significantly
supported. This study furnishes an understanding of the potential role of trusting
beliefs in driving continuing purchases in the context of social commerce.
Practical implications: The outcome of the study proves that all trusting belief
constructs are significantly supported. This study furnishes an understanding of
the potential role of trusting beliefs in driving continuing purchases in the context
of social commerce. This study is very helpful to the e-marketers for framing
strategies.
Research limitations: The study is focused on assessing the consumers trusting
beliefs and intention to continue online purchases through social commerce in
Bangaluru city. The sample of this research is consumers who have engaged in
social commerce.
Originality value: The finding of this study contributes consumers trusting
beliefs and intention to continue online purchases through social commerce. The
study’s outcome is unique model for e-marketers to retain the customer’s base
Impact of institutional investors’ ownership on firm performance of public companies in Sri Lanka
Get PDFThe study's goal is to investigate the relationship between firm performance and ownership by institutional investors.
The targeted goals and the necessary information were gathered from the annual reports and financial statements of 100 businesses
from thirteen industries that were listed on the Colombo Stock Exchange in Sri Lanka between 2017 and 2019. The institutional
investor’s ownership has been investigated as an independent variable, along with company performance (Return on Assets and
Return on Equity) and firm size (control variable). This investigation used correlation and regression, and the findings showed that
a substantial positive relationship between firm size and firm performance whereas institutional investors’ ownership has a
significant negative association with financial performance of the company. According to the study's findings, it is advisable to
support the corporate governance application principles in Sri Lankan public companies in order to encourage institutions to increase
their investments and implement effective monitoring, which may enhance company performance
Pronunciation difficulties of Tamil speaking bilingual students: a study based on Akkaraipattu Zone
Get PDFPurpose: This’s to investigate reasons for the difficulties of learning
pronunciation of bilingual students and to provide students with ways to build up
their pronunciation ability well to speak accurately and understand native
speakers.
Methodology: There are eight schools that conduct bilingual education and have
35 teachers teach bilingual subjects in the sample region. Pronunciation
difficulties of bilingual students are taken to study based on four different aspects
such as students’ ability, interest and exposure to English, parents’ educational
level, home atmosphere, teachers’ ability to teach pronunciation and school text
book, teachers’ guideline and government’s support. Data were collected in both
qualitative and quantitatively providing questionnaires with at least 200 students
on random sampling basis then conducted interviews with teachers and the data
collected from the interview were analysed thematically.
Findings: This study unearthed the following that bilingual students, unlike ESL
students, don’t have fear of speaking but are confident enough and motivated.
Home atmosphere will not be immediately changed but as the generation changes.
Teachers encounter lack of ability, skills and proficiency to become a
pronunciation model to bilingual learners. Besides, bilingual text books or
teachers’ guidelines help learners pronounce words well or appropriately. The
Education Administration should take action to teach and train bilingual teachers
to pronounce and teach pronunciation to students. And, it would be great if the
education ministry or National Institute of Education mention accurate
pronunciation of words as an appendix or have a vocabulary section on the very
same page.
Originality/Value: This study would help learners be motivated and be informed
of other ways they can improve their pronunciation. Parents will be imparted their
contribution towards the better pronunciation of their children. This study further
increases teachers’ awareness of teaching appropriate pronunciation. Moreover,
the authority and government bodies related to the education and school
administration would get an idea about what things need to be done in bilingual
textbooks and other facilities concerned. Research limitation: Apart from the availability of previous research on this topic, sample size was a real limitation. The researcher could meet at least a minimal number of parents to hear from them. Teachers during the interview could not speak well
Media, Politics and Environment: analyzing experiences from Europe and Asia
No full textThis article examines Sri Lanka's environmental concerns from a political perspective. The environmental crisis is a prominent topic in contemporary political discourse, as a healthy environment is essential to the existence of human beings worldwide. Sri Lanka, a tropical island in South Asia known for its ecological features, has not emphasised environmental aspects sufficiently in its post-independence political framework. Successive governments have focused mainly on political and economic issues, neglecting the environment. Moreover, informal social forces have also paid little attention to the environment. Thus, this study argues that environmental concerns in Sri Lanka do not receive adequate political attention
Interaction between seed rates, weed population and yield performance of field grown irrigated rice variety Cv. At362
Get PDFRice (Oryza sativa L.) is an important economic
food crop in Sri Lanka. Weeds are a major
constraint to the success of rice production. Cropweed competition has a profound effect on the
grain yield of rice. However, using herbicides
alone may not be considered sustainable in the
long term. Hence, a field experiment was
conducted at Rice Research Station,
Sammanthurai to study the interaction between
seed rates - weed population and yield
performance of field-grown At362 rice variety.
The treatment (T) consisted of six seed rates viz; 2
bushel/ac, 2.5 bushel/ac (as control), 3 bushel/ac,
3.5 bushel/ac, 4 bushel/ac and 4.5 bushel/ac. The
field experiment was laid out in Randomized
Complete Block Design (RCBD) with 6 treatments
having 3 replications. Field data were collected
on weed populations, rice crop growth and yield
parameters throughout the cultivation season
under field conditions. According to the results,
plant height, the number of leaves per plant, root
length, panicle length and number of panicles
were significantly (p<0.05) affected by different
seed rates. Lower seed rates resulted in increased
values for the above-tested parameters in the
At362 rice plant. Sedges were the most dominant
weeds in this field plot compared to grasses and
broad leaves. However, no significant differences
were observed in the yield and weed population
(p>0.05). Further research in various seasons
and regions can offer a more thorough
comprehension of the relationship among rice
seed rates, weed dynamics, and yield
Nameboard detection and text recognition in OPDs of public Hospitals
No full textUnorganized and unmanageable manual handling of appointment or booking systems is a crucial issue in public institutions that provide facilities. This leads to unmanageable duties on staff members that make the entire system in mess. The scenario can be experienced in Outdoor Patients Departments (OPDs) of the Government Hospitals in Sri Lanka, leading to unexpected and unregulated crowds and queues of patients, due to the unmanageable appointment issuing especially during the rush hours of clinics and in pandemic situations. The current method of issuing appointment tokens lacks a systematic approach, often causing extended waiting times since doctor’s’ availability in respective rooms is not checked beforehand. In this work, we propose an automated system to address these challenges by identifying active rooms in the OPD section and detecting the name boards on doors and extract information to determine the availability of doctors. Door detection, open and closed-door identification, and name board detection are the three phases of the system. The key performance metrics include achieving an accuracy of 73.4% for automated door detection while name board detection and recognition resulted a success rate of 84% and 74%, for closed doors and open doors respectively. Introducing a patient-doctor management database facilitates the systematic updating of room and doctor details, enhancing the efficiency of medical facilities utilization
Investigating the forecasting performance of GARCH models in predicting financial volatility of large-cap stock indices during the covid-19 pandemic
Get PDFFinancial volatility forecasting is especially important in financial
econometrics that helps Investors to minimize their losses by understanding the future
financial volatility. To predict financial volatility GARCH models are used which better
reflects the leverage effect, volatility clusters and volatility jumps in a financial time
series. COVID-19 pandemic is one of the most extreme events we have faced recently
which led to sudden fall in stock prices and financial instability. While many research
papers have focused on stock indices particular to relevant countries or emerging
markets, this study examines large-cap stock indices, which are safer to invest in and
covering almost the entire world by considering ten major large-cap stock indices from
nine countries which represent seven regions; Asia, South Asia, Europe, Middle East,
North America, Oceania and South America. Statistical loss functions; MSE, RMSE,
MAE, R2 Log, and QLIKE, were used to determine the best model out of GARCH, GJRGARCH, EGARCH, and PGARCH. Although the literature review suggests using the
High-Low proxy method to capture realized financial volatility, this study used the
OHLC(Open-High-Low-Close) volatility estimator, which considers drift-independence
and is capable of handling opening-pricing-jumps. All tests were conducted using
python programming for significance levels of 1%, 5%, and 10%, and the results
indicated that the study is statistically significant at the 1% level. The results reveal
that, although the stock indices represent different regions, they have shown a similar
impact towards COVID-19, while NZ50 and Nikkei225 indices slightly differ as New
Zealand and Japan are less affected by COVID-19 during the period 11.03.2020 –
10.03.2022. The study concludes that, averagely the best model to forecast financial
volatility on large-cap stock indices which affected from COVID-19 is EGARCH (1,1)
as it is asymmetric and able to grasp the