cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2023.727
title: Analysis of headline writing techniques in tourism news articles

description: This study investigates the headline writing techniques of tourism news articles on the TAT News website in 2023 under the Press Release category. A total of 119 headlines were analysed using the frameworks of Swan (2005) and Bowles and Borden (2004). The techniques examined include verb tenses, infinitives, voices, non-sentence phrases, omission of the verb to be, omission of auxiliaries, omission of articles, strong action verbs, abbreviations, and punctuation marks. The results indicate that active voice and omission of articles were most frequently used, each accounting for 16.92% of the data. Present simple tense (16.58%) and strong action verbs (14.93%) were also common. Certain punctuation marks such as commas, semicolons, and question marks were absent, while others like clipping, colons, and omission of the verb to be were used infrequently. All techniques were employed as assembled elements. Notably, the combination of active voice and present simple tense appeared most frequently. The findings highlight a strategic use of verb tenses, voice, and other elements to craft compelling headlines. The choice of techniques depends on the writer's style and the content of the news article. These results can guide writers in creating engaging and consistent tourism news headlines, thereby enhancing the website's credibility.
DOI: 10.14457/tu.the.2023.728
title: Analyzing the language and rhetoric of headline news: a comprehensive study on communication strategies and public perception

description: This study examines the techniques employed in news headline writing on the BBC and CNN websites. A sample of 100 headlines published between 2022 and 2024 was analyzed using Zhou's (2017) framework, which identifies ten techniques: metonymy, hyperbole, alliteration, oxymoron, personification, quotation, irony, rhetorical question, pun, and metaphor.The findings indicate that nine out of ten techniques were observed in BBC news headlines, while CNN headlines utilized seven out of ten techniques. The analysis reveals that quotation is the most frequently employed rhetorical device in both BBC and CNN headlines, followed by rhetorical questions in second place. Thus, quotation emerges as the predominant rhetorical device utilized in news headline writing across both BBC and CNN platforms.
DOI: 10.14457/tu.the.2023.729
title: Investigating the impacts of task-based extensive reading on reading ability of Thai high school students

description: The purpose of this mixed method study was to investigate the impacts of a Task-Based Extensive Reading (TBER) program on the reading ability of Thai high school students at a demonstration school in Thailand. A total of 9 Mattayomsuksa 6 students enrolled on a Math-English program, who were selected through purposive sampling, participated in a 10-week reading study. All were required to read 8 graded readers throughout the program followed by task-based post-reading activities after they finished each book. The data were collected through a pre- and post-test on reading ability employed to investigate the effectiveness of TBER. Verbal reports and semi-structured interviews were utilized to understand the students’ perceptions towards TBER. The results revealed that every student in the experimental group received positive higher gain scores in their post-test. Furthermore, they outperformed the other group of students in the comparison group who showed a mix of gain scores: positive, negative, and no difference. Additionally, the students in the TBER program reported that they personally felt a sense of improvement in their own reading ability and reported gains in vocabulary acquisition. Plus, with the help of this TBER program, students were able to overcome the anxieties experienced from reading English books and showed positive observable signs of good habit readers.
DOI: 10.14457/tu.the.2023.730
title: Sense of direction: a corpus-assisted comparative study of the English prepositions to and towards

description: This study investigates the functional distinctions between the synonymous English prepositions to and towards as directional prepositions, focusing on challenges faced by Thai EFL learners in vocabulary acquisition and how that affects their performance in proficiency tests. Utilising a corpus database in addition to online learner’s dictionaries, the study reveals conflicting indications of interchangeability. Contrary to the suggested interchangeability from the online learner’s dictionaries, directional to and directional towards hold different connotations and interact differently with the other word items within messages. The review of literature and extensive corpus data show nuanced differences that the limited spaces of dictionaries failed to. To directly engages with the landmarks by signaling them as the stop points of its action, while towards interacts more vaguely and treats them as reference points of direction or a topic and distinctively lacks in signalling any stop of the accompanying action.
DOI: 10.14457/tu.the.2023.731
title: AI-powered enhancement of English writing skills in master’s degree students

description: The remarkable progress of artificial intelligence (AI) has resulted in notable transformations in educational processes, specifically in the enhancement of students' academic writing abilities. This study examines the influence of artificial intelligence (AI) tools on the proficiency of master's degree students in English writing. The main objective is to examine the benefits and challenges associated with utilizing artificial intelligence (AI) tools in academic writing, as well as to comprehend students' viewpoints on AI tools for generating content and paraphrasing. The study involved 61 master's degree students from various academic disciplines, namely Business Management, Career English for International Communication, Development Planning Management and Innovation, Engineering, English Language Teaching, Gender Studies, Global Studies, and Law. A mixed-methods approach was employed, combining quantitative data obtained from a structured questionnaire and qualitative insights gathered from an open-ended survey. The quantitative findings demonstrated that AI tools have significant beneficial effects on writing speed, organization, creativity, and grammatical accuracy. Additionally, these tools received high mean scores in terms of user-friendliness and vocabulary enhancement. The qualitative analysis uncovered that student value AI tools for their practicality in managing citations, generating ideas, and delivering immediate feedback. However, certain difficulties such as the lack of acceptability in certain contexts, worries about privacy, and the possibility of excessive reliance were also emphasized.
DOI: 10.14457/tu.the.2023.732
title: Perceived benefits and challenges regarding the use of ChatGPT in English language learning: a study of L2 postgraduate students

description: This study examines the perceived benefits and challenges and usage patterns of ChatGPT among 54 L2 postgraduate students in Asia, with a demographic breakdown of 27.8% male, 66.6% female, and 5.6% preferring not to disclose gender, aged between 24 and 54 years. Data collection involved using multiple-choice and 5-point Likert scale statements, which were close-ended. The majority of respondents (83.3%) were pursuing master's degrees, and all had utilized ChatGPT, primarily for less than a year. The primary applications included research (59.3%) and language learning (14.8%), with 27.8% of respondents using it daily. According to the results, students value ChatGPT's ease of use (M = 4.43), time-saving features (M = 4.41), and the availability of knowledge in a variety of subjects (M = 4.09), considering it very helpful for learning English. However, concerns were raised about its potential to foster lazy thinking (M = 3.46) and the reliability of translations (M = 3.39). Despite skepticism about its ability to replace traditional language classes or teachers (M = 2.20 and M = 2.13, respectively), students recognized its value in personalized tutoring (M = 3.31), understanding written material (M = 3.93), and translating learning materials (M = 3.39). Specific concerns included the reliability of information on topics with few citations (M = 3.64) and a decline in response quality after several paragraphs (M = 3.33). Nonetheless, respondents disagreed that ChatGPT responses are misleading or confusing (M = 3.28), overall viewing it as a precise and reliable learning tool.
DOI: 10.14457/tu.the.2023.733
title: A study of the needs and problems in English listening and speaking skills of Buddhist monks at Wat Arun Ratchawararam: a tourist destination temple in Thailand

description: The objective of this research is to investigate the needs and problems of English listening and speaking skills of Buddhist monks at Wat Arun Ratchawararam, a tourist destination in Thailand. The participants of this study were 31 monks residing at Wat Arun Ratchawararam. A questionnaire was distributed to and collected from the participants. Data analysis was conducted using the statistical software SPSS, with findings presented in terms of frequency, percentage, mean scores, and standard deviation. The research findings indicate a significant need for English listening skills among the Buddhist monks, particularly in understanding questions related to the significance of places, comprehending Chinese English accents, and interpreting questions about the history of places. The necessity for English speaking skills was also high, with the most critical need being the ability to initiate or respond to greetings, followed by the capacity to express or respond to gratitude. In terms of challenges, the study found that the problems associated with English listening skills were predominantly high. The most substantial issue was understanding long questions or detailed information, followed by difficulties in comprehending English accents from Russian speakers. The least problematic area was understanding questions about directions. Similarly, the problems with English speaking skills were largely high, with the most significant challenge being the ability to provide information about the history of places, followed by difficulties in explaining the architecture of places. The least problematic area was expressing or responding to gratitude.
DOI: 10.14457/tu.the.2023.734
title: An exploration of the increasing popularity of Chinese language education relative to English language education

description: The aim of this research was to investigate the motivations of Thai high school students for learning English and Chinese in an English-Chinese program and compare their preferences. The study surveyed 50 students aged between 15-18 years and explored the reasons behind their learning, including cultural popularity, perceived easiness, structural similarity to Thai, future importance, and interest in exchange language learning programs. The results showed that although English was perceived as more economically related and essential for students' future career paths, Chinese was considered easier to learn due to similar grammatical structures with Thai. There was a stronger motivation for the cultural popularity learning factor among Chinese. The students expressed their willingness to join exchange programs to learn Chinese actively. They expect to achieve a high level of proficiency in both English and Chinese, which would benefit their future career paths. The study found trends and changes in English learning among Thai students due to the knowledge of Chinese language and provides suggestions about how language policymakers and curriculum creators could balance the learning of English and Chinese to prepare students for the global market where both languages are increasing in their impact on the economy.
DOI: 10.14457/tu.the.2023.735
title: A study of Taylor Swift’s pop songs for EFL learners: categorizing words based on the Oxford 3000 and 5000 word lists and CEFR levels

description: This study aims to evaluate the extent to which Taylor Swift’s song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning effectively and effortlessly. The Taylor Swift Pop Song Corpus (TPC) was compiled using the AntConc 4.2.4 program. The analysis involved three steps: data preparation, lexical profiling, and word categorization. The results revealed that 18.08% of the words in the songs appeared in the Oxford 3000 word list, while 1.99% were found in the Oxford 5000 word list. The highest frequency CEFR level in the songs was A1, with a lexical coverage of 41.44%. In summary, Taylor Swift’s songs can serve as valuable materials for learning or teaching essential vocabulary for general purposes and beginners.
DOI: 10.14457/tu.the.2023.736
title: A multimodal critical discourse analysis of online English language newspapers in Thailand

description: This study investigates the multimodal features and cultural dimensions embedded in online English language newspapers in Thailand, focusing on The Bangkok Post and The Nation through their X (formerly Twitter) official accounts. Over a two-week period, 32 news posts were analyzed using Multimodal Critical Discourse Analysis (MCDA) approaches. It reveals that The Bangkok Post employs formal visuals and detailed reporting as distinct editorial strategies, emphasizing objectivity and comprehensive coverage. In contrast, The Nation focuses on dynamic, community-oriented visuals and engaging narratives, appealing to collective experiences and social interactions. Applying Hofstede’s Cultural Dimensions Theory, the study finds that both newspapers reflect Thailand’s high Power Distance with formal depictions of authority figures. The Nation exhibits a more individual orientation by prioritizing news relevant to local audiences, while both maintain cautious reporting styles, avoiding sensationalism. The findings highlight how cultural values influence editorial choices and visual strategies on digital platforms, offering insights into how these newspapers navigate cultural diversity and shape audience engagement in Thailand’s media landscape.
DOI: 10.14457/tu.the.2023.737
title: The English speaking and listening barriers of Thai staff working with international students at Mahachulalongkornrajavidyalaya University

description: The primary aim of this study was to investigate the challenges faced by support staff at Mahachulalongkornrajavidyalaya University in Phra Nakhon Si Ayutthaya Province in regard to their English communication. The specific objectives included identifying the difficulties encountered by support staff when using English in their workplace. The study involved 30 support staff members from the university. A questionnaire was used as the research instrument to gather information on their background, English language skills, and areas requiring improvement. Data analysis was conducted using Microsoft Excel to calculate frequencies, percentages, means, and standard deviation. The results indicated that support staff at the university encountered some challenges in developing their English listening and speaking skills, with listening skills being identified as the main area of difficulty.
DOI: 10.15468/dl.ve27wr
title: Occurrence Download

description: A dataset containing 1012163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "TaxonKey is Insecta",
 "Year 2000-2022"
 ]
}

 The dataset includes 1012163 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017352-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2023.738
title: A study of strategies used in translating Thai boys' love series titles from Thai to English

description: The Thai entertainment industry has grown rapidly due to globalization contributing to the expansion of the Thai boy love series (Thai BL series) in the international markets. The translation, including the titles, has played an important role in the Thai BL series. The purpose of the study was (1) to explore the strategies used to translate the Thai BL series titles; moreover, (2) the frequency and percentage were calculated to determine the most frequently used strategy in this study. The translation approach from Thongwan’s study (2012) was based on the Skopos theory. This study was a mixed method research. The titles of the 125 Thai BL series released between 2022-2023 listed on the blwatcher.com website were collected to investigate the translation strategies. Full length and short movies were excluded. The result indicated that there were five groups of strategies: (1) original titles composed in English, (2) transliteration, (3) literal translation, (4) renaming, and (5) mixed strategies. Moreover, 13 strategies were found in this investigation. The most frequently used strategy was the partial translation with the addition of English. More than a quarter of the series used this strategy (27.2%) whereas, transferring English from original titles with the addition of English, partial transliteration without the addition of English, and partial transliteration and partial translation without the addition of English were the least frequently used strategies. Those strategies were applied in only one series (0.8%).
DOI: 10.4121/6af610ed-9006-4ac5-b399-4795c2ac01ec.v3
title: Spatially explicit environmental variables at 25m resolution for spatial modelling in the Netherlands

description: This dataset contains 206 spatially explicit environmental variables, also termed covariates, at 25m resolution that cover the entire Netherlands (national scale). The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.<br>The metadata of all the covariates in this dataset can be found in the "00_covariates_metadata.csv" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:GeoTIFF (.tif): the covariates as raster data at 25m resolution in the EPSG:28992 (Amersfoort / RD New) spatial projectionText (.txt): README files for each covariate with additional metadata information (filename ending in "_readme.txt")Tabular data (.csv): Classification and re-classification table for categorical covariates (filename ending in "_reclassify.csv")<br>Note that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.<br>More information about these covariates can be found in the associated scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on GitLab. This includes assembling and preparing covariates using GDAL ("20_cov_prep_gdal.R"), computing digital elevation model (DEM) derivatives using SAGA GIS ("21_cov_dem_deriv_saga.R"), deriving spectral indices from RGBNIR bands of Sentinel 2 images ("22_cov_sensing_deriv.R"), preparing categorical covariates using GDAL ("23_cov_cat_recl_gdal.R"), deriving dynamic covariates ("24_cov_dyn_prep_gdal.R") and exploratory analysis of the covariates ("25_cov_expl_analysis_clorpt.Rmd", "25_cov_expl_analysis_cont_cat.Rmd").
DOI: 10.4121/6af610ed-9006-4ac5-b399-4795c2ac01ec
title: Spatially explicit environmental variables at 25m resolution for spatial modelling in the Netherlands

description: This dataset contains 206 spatially explicit environmental variables, also termed covariates, at 25m resolution that cover the entire Netherlands (national scale). The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.<br>The metadata of all the covariates in this dataset can be found in the "00_covariates_metadata.csv" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:GeoTIFF (.tif): the covariates as raster data at 25m resolution in the EPSG:28992 (Amersfoort / RD New) spatial projectionText (.txt): README files for each covariate with additional metadata information (filename ending in "_readme.txt")Tabular data (.csv): Classification and re-classification table for categorical covariates (filename ending in "_reclassify.csv")<br>Note that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.<br>More information about these covariates can be found in the associated scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on GitLab. This includes assembling and preparing covariates using GDAL ("20_cov_prep_gdal.R"), computing digital elevation model (DEM) derivatives using SAGA GIS ("21_cov_dem_deriv_saga.R"), deriving spectral indices from RGBNIR bands of Sentinel 2 images ("22_cov_sensing_deriv.R"), preparing categorical covariates using GDAL ("23_cov_cat_recl_gdal.R"), deriving dynamic covariates ("24_cov_dyn_prep_gdal.R") and exploratory analysis of the covariates ("25_cov_expl_analysis_clorpt.Rmd", "25_cov_expl_analysis_cont_cat.Rmd").