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Blended learning approach in improving student’s academic performance in information communication, and technology (ICT)

Germo R. R.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2022

Vol. 16 No. 2

251--256

This quasi-experimental study aimed at looking into the effectiveness of blended learning approach in improving the performance in Information, Communication, and Technology (ICT) Course of Bachelor of Science in Marine Transportation (BSMT) first year students at JBLFMU-Arevalo during the second semester of school year 2018-2019. The respondents of this research were the two sections comparable with each other who were enrolled in the subject ICT. There were 40 student respondents composed of 20 in the experimental group and 20 in the control group. A validated and reliability-tested 45 item researcher-made multiple choice test was used as an instrument with a Cronbach index of 0.88. The statistical tools used were mean, standard deviation, Mann-Whitney test, and Wilcoxon-Signed ranks test set at .05 level of significance. The effect size was computed to determine the effectiveness of the blended learning approach in terms of students’ performance in ICT. Results showed that in the pretest, though the experimental group had a higher mean score than the control group, the Mann-Whitney test showed that the mean scores of the two groups were comparable because the significant value was greater than .05. When the treatment was introduced, findings showed that there were significant differences in the ICT performance in the pretest and posttest of experimental and control groups as well as in the posttests of both groups. Results inferred that blended learning approach was more than a hundred percent effective showing significant results on the experimental group. It could also be inferred that the better performance of the control group could be attributed to the traditional method of teaching, the lecture method.

Statistical evaluation of the efficiency of the two types of protection systems in carotid artery stenting

Rabasová M., Pavlík O.

Systemy Wspomagania w Inżynierii Produkcji

2017

Vol. 6, iss. 4

215--221

The article deals with the evaluation of the efficiency of the two types of protection systems in carotid artery stenting (CAS). Carotid artery stenting is a treatment of carotid artery stenosis, which is a narrowing of the carotid artery caused by a plaque buildup in the artery wall. Pieces of plaque can break off and block the blood flow in the artery, which leads to a stroke. Carotid artery stenting is an endovascular surgery where a stent is deployed within the lumen of the affected carotid artery to dilate it and prevent a stroke. Two types of embolic protection devices are commonly used during CAS - distal protection devices (filters) and proximal protection devices. The aim of this study was to determine whether the two protection systems differ in the number and in the location of new ischemic lesions after surgery. Statistical analysis was carried out with the programs SPSS and Microsoft Excel. Mann-Whitney test, χ2 test and Arcsine test were used and the value of p = 0.05 was taken as a level of significance.

Tento článek pojednává o vyhodnocení účinnosti dvou protekčních systémů používaných při karotickém stentingu (CAS). Karotický stenting je léčba karotické stenózy, což je zúžení karotické tepny způsobené plakem usazeným na cévní stěně. Kousky plaku se mohou uvolnit a zablokovat průchod krve, což může způsobit mozkovou mrtvici. Karotický stenting je endovaskulární chirurgická metoda, při které se do postižené tepny zavede stent, který má tepnu roztáhnout a zabranit tak mrtvici. V průběhu CAS jsou běžně používány dva typy protekčních zařízení - distální protekční zařízení (filtry) a proximální protekční zařízení. Cílem této studie bylo zjistit, zda se tyto dva protekční systémy liší v počtu a v lokalizaci nových ischemických lézí po operaci. K statistické analýze byly použity MannůvWhitneyův test, χ2 test a arcsinový test (s hladinou významnosti p = 0,05), výpočty byly provedeny pomocí programů SPSS a Microsoft Excel.