scholarly journals Empirical Verification of the Polish Formula of Text Difficulty

2015 ◽  
pp. 125-132
Author(s):  
Edyta Charzyńska ◽  
Łukasz Jerzy Dębowski

Empirical Verification of the Polish Formula of Text DifficultyThe aim of the study was to verify the accuracy of the formula for assessing the difficulty of texts written in Polish (Pisarek 1969). The study involved 1,309 persons aged between 15 and 84. 15 texts were used, each approximately 300 words long, representing different subjects and varied difficulty level. Text comprehension was checked with multiple choice tests, the cloze procedure and open-ended questions. Significant correlations between the difficulty of a text and its comprehension were found (rmc(15) = -0.529, p = 0.043; ropen = -0.519, p = 0.047; rcloze = -0.656, p = 0.008). The results confirmed relative accuracy and usefulness of Pisarek's readability formula. The discussion includes proposed ways of improving the current form of the formula.

2018 ◽  
Author(s):  
Didik Rinan Sumekto

This paper discusses on the empirical experience of vocabulary instruction in English for specific purpose (ESP) as considered to the language across curriculum, particularly in mathematics course which stresses on syntax and semantics. ESP curriculum is relevantly designed to accommodate the specific needs of particular learners in groups, related to content, particular disciplines, occupations and activities, and centered on the language appropriateness to relevant activities, such as syntax, lexis, discourse, and semantics. The issue of vocabulary instruction for English language learners (ELLs) concerns with productive, receptive, and recognition vocabulary where the one main goals of the instruction is to assist ELLs improve their comprehension in the multiple-choice tests, text comprehension, and process of understanding new meaning of words or phrases.


2019 ◽  
Vol 06 (02) ◽  
pp. 147-161 ◽  
Author(s):  
Tram Nguyen ◽  
Toan Bui ◽  
Bay Vo

This paper proposes the use of multi-swarm method in particle swarm optimization (PSO) algorithm to generate multiple-choice tests based on assumed objective levels of difficulty. The method extracts an abundance of tests at the same time with the same levels of difficulty and approximates the difficulty-level requirement given by the users. The experimental results show that the proposed method can generate many tests from question banks satisfying predefined levels of difficulty. Additionally, the proposed method is also shown to be effective in terms of many criteria when compared with other methods such as manually extracted tests, random methods and PSO-based methods in terms of execution time, standard deviation, the number of particles per swarm and the number of swarms.


1968 ◽  
Author(s):  
J. Brown Grier ◽  
Raymond Ditrichs

2009 ◽  
Author(s):  
Jeri L. Little ◽  
Elizabeth Ligon Bjork ◽  
Ashley Kees

1997 ◽  
Vol 74 (10) ◽  
pp. 1185 ◽  
Author(s):  
Gaspard T. Rizzuto ◽  
Fred Walters

2021 ◽  
Vol 105 ◽  
pp. 104439
Author(s):  
Tram Nguyen ◽  
Toan Bui ◽  
Hamido Fujita ◽  
Tzung-Pei Hong ◽  
Ho Dac Loc ◽  
...  

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