Levels of Reading Comprehension in Higher Education: Systematic Review and Meta-Analysis

Álvarez, Cristina de la Peña; Rojas, María Jesús Luque

doi:10.3389/fpsyg.2021.712901

Cited by 19 publications

(10 citation statements)

References 49 publications

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“…They needed to learn through multimedia, such as textbooks, printed materials, electronic learning sources, computer-assisted instruction, and audio and video cassettes. This was in accordance with the finding of Keawchuer (2014) which found that knowledge, skills and attitude had great impact on learning; and UNESCO (united nations educational, scientific and cultural organzation) publication (2009, as cited in de-la-Peña and Luque-Rojas, 2021) which claimed that high reading comprehension skills facilitated learning. The students with high reading comprehension skills enjoy reading and consequently improve their learning readiness.…”

Section: Discussionsupporting

confidence: 89%

Development of indicators of happiness in learning of Thai open university students

Laosum

2023

AAOUJ

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PurposeThis paper aims to develop indicators of happiness in learning of the Thai Open University (TOU)'s undergraduate students.Design/methodology/approachSampling for the study was comprised of two groups. Group I comprised eight lecturers who are experts in their disciplines, and six students who were purposively sampled. The focus group was used to validate the appropriateness of the indicators. In Group II, 332 students were engaged in a multistage sampling process. The responses were analyzed using descriptive statistics, coefficient correlation, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).FindingsThe indicators of happiness in learning of undergraduate students of TOU were classified in six categories. These included satisfaction with learning environment (five indicators), learning anxiety (five indicators), satisfaction with learning (five indicators), enthusiasm to learn (six indicators), self-satisfaction (six indicators) and readiness to learn (seven indicators). The six categories explained happiness in learning of undergraduate students of TOU at the 65% and fit empirical data.Practical implicationsThe TOU can use the indicators for the assessment of happiness in learning of its students as well as guidelines for the improvement of its student learning environments.Originality/valueThere have been very few studies on indicators of happiness in learning of TOU students. Most were done at the basic education level. This study disclosed the six factors affecting happiness in learning of TOU students; therefore, it should inspire and draw attention of many in the field of higher education distance learning.

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Section: Discussionsupporting

confidence: 89%

Development of indicators of happiness in learning of Thai open university students

Laosum

2023

AAOUJ

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“…To the best of our knowledge a comprehensive study of Flesh Kincaid readability and lexical density of school Science and Social Studies textbooks has not been performed. Fang et al (2006) examined indices of lexical density in the 3rd, 5th, and 10th grades textbooks of different subjects: it was registered as 51% in the fable studied in the 3rd grade, 53% -in the 5th grade Science texts, and 59% -in the 10th grade History texts. Two studies on lexical density progress were performed on Indonesian English textbooks used in junior high school (7th, 8th, and 9th grades) (Mulyanti and Soeharto, 2020) and senior high school (10th, 11th, and 12th grades) (Putra and Lukmana, 2017).…”

Section: Lexical Densitymentioning

confidence: 99%

“…The growing number of studies on text complexity published worldwide, has not exhausted the topic even for the English language (Solnyshkina, Solovyev, Gafiyatova, Martynova, 2022) extent lexical density affects complexity of English academic texts thus testing the wellknown belief that lexical density predicts text complexity (Daller, Van Hout and Treffers-Daller, 2003) Guiraud's Index (Giroud, 1954), Corrected TTR (Carroll, 1964), Index of Herdan (Herdan, 1960, 1964), Maas (Maas, 1972, Tweedie and Baayen, 1998, Treffers-Daller, 2013; U Notational variant of Maas (Dugast, 1978;1979), D score (Malvern, Richards, 1997)…”

Section: Introductionmentioning

confidence: 99%

Lexical density as a complexity predictor: the case of Science and Social Studies textbooks

Solnyshkina¹,

Gatiyatullina²,

Kupriyanov³

et al. 2023

RR. Т. and A.L.

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An ever-increasing need for quality textbooks and objective linguistic expertise encourages more intensive research into complexity of academic discourse. The current research focuses on lexical density viewed as an effective complexity predictor and defined as the ratio of content words per number of words in a text. Being predominantly quantitative, the study also examines dynamics of Flesh-Kincaid grade levels and ratios of parts of speech across 12 Science and Social Studies textbooks taught in Grades 7 -12 of American schools. The analysis shows a consistent pattern of strong positive growth of nouns and adjectives across grade levels, while lexical verbal elements slightly decrease across the textbooks. The total adverb count changes slightly, and its movement vector depends on the discourse: it rises in Social Studies textbooks and is stable in Science textbooks. This multidirectional movement of components in Lexical density structure explains its

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“…Previous studies have shown that the level of education is positively correlated with the individual's cognitive level and knowledge learning ability [e.g., (35)(36)(37)]. The higher the level of education, the easier it is to accept the technical products represented by digitization.…”

Section: Producer Knowledge Level (Produ_edu) and Consumer Knowledge Level (Consu_edu)mentioning

confidence: 99%

Digital Technology, Knowledge Level, and Food Safety Governance: Implications for National Healthcare System

Wei

Lin

et al. 2021

Front. Public Health

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Exploring the intrinsic relationship between digital technology and the efficiency of food safety supervision contributes to a better understanding of the role of digital technology in food safety supervision and how to maximize its influence. This study employed sample data from 31 regions in China between 2015 and 2017 for an empirical analysis of the correlation between the two and to examine the moderating effects of the knowledge levels of food producers and consumers. The results show that the development of digital technology contributes to enhancing the efficiency of food safety supervision. In this process, the higher the knowledge level of consumers, the greater the positive promotional effect of digital technology. On the contrary, when the knowledge level of producers is higher, it is not conducive to enhancing the effect of digital technology on the efficiency of food safety supervision. The author holds the view that this is related to the fact that employees in the food production and manufacturing industry have insufficient moral and legal knowledge. This not only limits the effect of digital technology on enhancing the efficiency of food safety supervision, but also opens the door to illegal production for some unprincipled producers. The policy implications are that digital technology should be used to improve food safety supervision, the moral and legal knowledge of food producers should be improved, and consumers should be encouraged to use digital technology more in the pursuit of food safety. Implications for national healthcare system would be also discussed in our paper.

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Levels of Reading Comprehension in Higher Education: Systematic Review and Meta-Analysis

Cited by 19 publications

References 49 publications

Development of indicators of happiness in learning of Thai open university students

Development of indicators of happiness in learning of Thai open university students

Lexical density as a complexity predictor: the case of Science and Social Studies textbooks

Digital Technology, Knowledge Level, and Food Safety Governance: Implications for National Healthcare System

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