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    ΠŸΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ обучСния студСнтов Π½Π° английском языкС (EMI) Π² унивСрситСтах ΠšΠ°Π·Π°Ρ…ΡΡ‚Π°Π½Π°

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    Introduction. Fascination with English medium instruction (EMI) is fast growing in higher education institutions in non-native English-speaking countries, including Kazakhstan. The Kazakhstani government adopted a trilingual education policy in 2007 and the Bologna Process in 2010. Both these initiatives motivated universities to offer academic programmes in the English language. As a result, EMI programmes are offered in over 70 higher education institutions across Kazakhstan. In addition, there are four major Kazakhstani universities which offer academic programmes in English only. Despite the increase in the number of EMI programmes, there is a lack of empirical evidence about the difficulties and challenges faced by students in the EMI programmes. Aim. The present study aimed to investigate the nature, forms, and levels of challenges graduate students face in academic reading and writing in English and the way they cope with these challenges. The study was conducted with graduate students and faculty in 10 selected Kazakhstani universities, which offer academic programmes in EMI. Research methodology and methods. The study is based on a mixed-method design, involving an online survey and semi-structured interviews. The closed-ended questions have been analysed using SPSS software (Statistical Package for the Social Sciences). The grounded theory analysis was utilised to scrutinise open-ended questions and interview transcripts. Results and scientific novelty. The study’s results indicated two major challenges faced by graduate students in academic reading and writing: the personal-psychological challenge and sociological challenge. The first challenge includes students’ previous academic backgrounds, exposure, and learning experiences. The second challenge is related to English academic culture and students’ worldviews, concepts, and values about English as a language and medium of instruction. As a result, graduate students experienced a lack of vocabulary, inadequate academic literacy skills, unfamiliarity with academic writing styles in English, and lack of skills to synthesise reading materials. Practical significance. Hence, this study recommends systematising English language programmes across secondary and higher education institutions to help students acquire advanced English language proficiency. Also, the study results suggest that local faculty members should be trained according to international standards in terms of their English language skills and innovative teaching methods.Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Π˜Π½Ρ‚Π΅Ρ€Π΅Ρ ΠΊ ΠΎΠ±ΡƒΡ‡Π΅Π½ΠΈΡŽ Π½Π° английском языкС (English Medium Instruction – EMI) быстро растСт Π² Π²Ρ‹ΡΡˆΠΈΡ… ΡƒΡ‡Π΅Π±Π½Ρ‹Ρ… завСдСниях стран, для ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… английский язык Π½Π΅ являСтся Ρ€ΠΎΠ΄Π½Ρ‹ΠΌ, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ ΠšΠ°Π·Π°Ρ…ΡΡ‚Π°Π½. ΠŸΡ€Π°Π²ΠΈΡ‚Π΅Π»ΡŒΡΡ‚Π²ΠΎ страны приняло ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΡƒ Ρ‚Ρ€Π΅Ρ…ΡŠΡΠ·Ρ‹Ρ‡Π½ΠΎΠ³ΠΎ образования Π² 2007 Π³ΠΎΠ΄Ρƒ ΠΈ Болонский процСсс Π² 2010 Π³ΠΎΠ΄Ρƒ. ОбС эти ΠΈΠ½ΠΈΡ†ΠΈΠ°Ρ‚ΠΈΠ²Ρ‹ ΠΏΠΎΠ±ΡƒΠ΄ΠΈΠ»ΠΈ унивСрситСты ΠΏΡ€Π΅Π΄Π»Π°Π³Π°Ρ‚ΡŒ акадСмичСскиС ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ Π½Π° английском языкС. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ ΠΎΠ½ΠΈ появились Π² 70 Π²ΡƒΠ·Π°Ρ… ΠšΠ°Π·Π°Ρ…ΡΡ‚Π°Π½Π°. Π‘ΠΎΠ»Π΅Π΅ Ρ‚ΠΎΠ³ΠΎ, Π½Π° Π΄Π°Π½Π½Ρ‹ΠΉ ΠΌΠΎΠΌΠ΅Π½Ρ‚ Π΅ΡΡ‚ΡŒ Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… унивСрситСта с акадСмичСскими ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ°ΠΌΠΈ ΠΈΡΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Π½Π° английском языкС. НСсмотря Π½Π° ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ количСства ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ EMI, ΠΎΡ‚ΡΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‚ эмпиричСскиС Π΄Π°Π½Π½Ρ‹Π΅ ΠΎ трудностях ΠΈ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°Ρ…, с ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ Π² Π½ΠΈΡ… ΡΡ‚Π°Π»ΠΊΠΈΠ²Π°ΡŽΡ‚ΡΡ студСнты. ЦСль. Π”Π°Π½Π½ΠΎΠ΅ исслСдованиС ΠΈΠ·ΡƒΡ‡Π°Π΅Ρ‚ ΠΏΡ€ΠΈΡ€ΠΎΠ΄Ρƒ, Ρ„ΠΎΡ€ΠΌΡ‹ ΠΈ ΡƒΡ€ΠΎΠ²Π½ΠΈ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ, с ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ ΡΡ‚Π°Π»ΠΊΠΈΠ²Π°ΡŽΡ‚ΡΡ магистранты ΠΈ Π΄ΠΎΠΊΡ‚ΠΎΡ€Π°Π½Ρ‚Ρ‹ ΠΏΡ€ΠΈ акадСмичСском Ρ‡Ρ‚Π΅Π½ΠΈΠΈ ΠΈ письмС Π½Π° английском языкС, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ‚ΠΎ, ΠΊΠ°ΠΊ ΠΎΠ½ΠΈ ΡΠΏΡ€Π°Π²Π»ΡΡŽΡ‚ΡΡ с этими ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ. ИсслСдованиС ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ срСди студСнтов магистратуры ΠΈ Π΄ΠΎΠΊΡ‚ΠΎΡ€Π°Π½Ρ‚ΡƒΡ€Ρ‹, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΈΠ· 10 Π²Ρ‹Π±Ρ€Π°Π½Π½Ρ‹Ρ… казахстанских Π²ΡƒΠ·ΠΎΠ², ΠΏΡ€Π΅Π΄Π»Π°Π³Π°ΡŽΡ‰ΠΈΡ… акадСмичСскиС ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ с EMI. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ исслСдования. ИсслСдованиС ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ Π΄ΠΈΠ·Π°ΠΉΠ½ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰ΠΈΠΉ ΠΎΠ½Π»Π°ΠΉΠ½-опрос ΠΈ полуструктурированныС ΠΈΠ½Ρ‚Π΅Ρ€Π²ΡŒΡŽ. Π—Π°ΠΊΡ€Ρ‹Ρ‚Ρ‹Π΅ вопросы Π±Ρ‹Π»ΠΈ ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ статистичСского ΠΏΠ°ΠΊΠ΅Ρ‚Π° (SPSS). ΠœΠ΅Ρ‚ΠΎΠ΄ обоснованной Ρ‚Π΅ΠΎΡ€ΠΈΠΈ Π±Ρ‹Π» использован для ΠΏΠΎΠ΄Ρ€ΠΎΠ±Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚Ρ‹Ρ… вопросов ΠΈ транскриптов ΠΈΠ½Ρ‚Π΅Ρ€Π²ΡŒΡŽ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ научная Π½ΠΎΠ²ΠΈΠ·Π½Π°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования выявили Π΄Π²Π΅ основныС ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹, с ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ ΡΡ‚Π°Π»ΠΊΠΈΠ²Π°ΡŽΡ‚ΡΡ студСнты ΠΏΡ€ΠΈ акадСмичСском Ρ‡Ρ‚Π΅Π½ΠΈΠΈ ΠΈ письмС: личностно-психологичСская ΠΈ социологичСская. ΠŸΠ΅Ρ€Π²Π°Ρ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ Π² сСбя ΠΏΡ€Π΅Π΄Ρ‹Π΄ΡƒΡ‰ΠΈΠΉ акадСмичСский ΠΎΠΏΡ‹Ρ‚ студСнтов, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΎΠΏΡ‹Ρ‚ обучСния. Вторая ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ° связана с английской акадСмичСской ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€ΠΎΠΉ ΠΈ ΠΌΠΈΡ€ΠΎΠ²ΠΎΠ·Π·Ρ€Π΅Π½ΠΈΠ΅ΠΌ, концСпциями ΠΈ цСнностями студСнтов Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ английского языка ΠΊΠ°ΠΊ языка ΠΈ срСдства обучСния. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ студСнты ΡΡ‚ΠΎΠ»ΠΊΠ½ΡƒΠ»ΠΈΡΡŒ со ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌΠΈ трудностями: Π½Π΅Ρ…Π²Π°Ρ‚ΠΊΠ° словарного запаса, нСдостаточныС Π½Π°Π²Ρ‹ΠΊΠΈ акадСмичСской грамотности, Π½Π΅Π·Π½Π°Π½ΠΈΠ΅ стилСй акадСмичСского письма Π½Π° английском языкС ΠΈ отсутствиС Π½Π°Π²Ρ‹ΠΊΠΎΠ² синтСзирования ΠΏΡ€ΠΎΡ‡ΠΈΡ‚Π°Π½Π½ΠΎΠ³ΠΎ. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Π΄Π°Π½Π½ΠΎΠ΅ исслСдованиС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡƒΠ΅Ρ‚ ΡΠΈΡΡ‚Π΅ΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ изучСния английского языка Π² срСдних ΠΈ Π²Ρ‹ΡΡˆΠΈΡ… ΡƒΡ‡Π΅Π±Π½Ρ‹Ρ… завСдСниях, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΏΠΎΠΌΠΎΡ‡ΡŒ учащимся ΠΎΠ²Π»Π°Π΄Π΅Ρ‚ΡŒ английским языком Π½Π° ΠΏΡ€ΠΎΠ΄Π²ΠΈΠ½ΡƒΡ‚ΠΎΠΌ ΡƒΡ€ΠΎΠ²Π½Π΅. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚, Ρ‡Ρ‚ΠΎ мСстныС ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»ΠΈ Π΄ΠΎΠ»ΠΆΠ½Ρ‹ Π±Ρ‹Ρ‚ΡŒ ΠΎΠ±ΡƒΡ‡Π΅Π½Ρ‹ Π² соотвСтствии с ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹ΠΌΠΈ стандартами, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ Π½Π°Π²Ρ‹ΠΊΠΈ английского языка ΠΈ ΠΈΠ½Π½ΠΎΠ²Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ обучСния.The research study is funded by Nazarbayev University under Collaborative Research Programme Grant β„– 021220CRP1322.ИсслСдованиС финансируСтся НазарбаСв УнивСрситСтом Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π³Ρ€Π°Π½Ρ‚Π° ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ совмСстных исслСдований β„– 021220CRP1322

    Analysis of K-ras codon 12 and TP53 mutations in patients with advanced colorectal carcinoma

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    Background. Colorectal cancer (CRC) is one of the most common types of cancer, affecting 3 - 5% of the global population. K-ras protooncogene and TP53 tumour suppressor gene mutations are among the most common genetic alterations detected in advanced colorectaltumours.Objective. To investigate the role of K-ras codon 12 and TP53 exons 5 - 9 mutations in late-stage CRC patients.Methods. Blood samples were collected from 249 CRC patients, of whom 147 presented with advanced carcinoma. K-ras codon 12 mutations were analysed using polymerase chain reaction-restriction fragment length polymorphism, while direct sequencing was used in screening for TP53 exons 5 - 9 mutations.Results. No significant changes were observed in TP53 exons 5 - 9, except for two cases in which nucleotide replacements were observed in the non-coding regions in intron 4 (c.376-19C>T) and intron 9 (c.993+12T>C). Heterozygous mutations in K-ras codon 12 were observed in 79 individuals suffering from advanced CRC (53.7%). Colon and rectal tumours were equally distributed among the heterozygotes, but colon tumours were mostly present in wild-type homozygotes (84.6%). There was also a predominance of Caucasians among heterozygotes and a predominance of Asians among the wild-type homozygotes.Conclusion. Analysis of peripheral blood samples of CRC patients suffering from advanced carcinoma has prognostic value only for K-ras codon 12 mutations, and not for TP53 mutations

    Segmentation of Aerospace Images by A Non-standard Approach Using Informative Textural Features

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    The article presents an analysis of a non-standard approach to the segmentation of textural areas in aerospace images. The question of the applicability of sets of textural features for the analysis of experimental data is being investigated to identify characteristic areas on aerospace images that in the future it will be possible to identify types of crops, weeds, diseases, and pests. The selection of suitable algorithms was carried out and appropriate software tools were created on Matlab 2021a and in the software package for statistical analysis Statistica 12. The main way to extract information is to decrypt images, which are the main carrier of information about the underlying surface. The main tasks of texture area analysis include selection and formation of features describing textural differences; selection and segmentation of textural areas; classification of textural areas; identification of an object by texture. To solve the tasks, spectral brightness coefficient (SBC), Normalized Difference Vegetation Index (NDVI), textural features of various crops and weeds. Much attention will be paid to the development of software tools that allow the selection of features describing textural differences for the segmentation of textural areas into subdomains. That is the question of the applicability of sets of textural features and other parameters for the analysis of experimental data to identify types of soils and soils, vegetation types, humidity, crop damage in aerospace images will be resolved. This approach is universal and has great potential for identifying objects using image clustering. To identify the boundaries of areas with different properties of the image under study, images of the same surface area taken at different times are considered

    Trace element biomonitoring in hair and blood of occupationally unexposed population residing in polluted areas of East Kazakhstan and Pavlodar regions

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    Introduction: Eastern and North-Eastern regions of Kazakhstan are considered to be environmentally disadvantaged due to industrial pollution and activity of the former Semipalatinsk Nuclear Test Site. Ferrous metallurgy is represented by the world's largest ferroalloy plant located in Aksu. In addition to a ferroalloy plant, Aksu is the home for the largest thermal power plant in Kazakhstan. Objective: Biomonitoring of 31 hair and blood trace elements (Ag, Ba, Be, Bi, Cs, Co, Ce, Cr, Cu, Eu, Gd, Hf, In, La, Li, Mn, Mo, Nb, Nd, Pb, Sc, Sn, Tl, Th, U, V, W, Y, Yb, Zn, and Zr) in non-occupationally exposed population residing in polluted areas of East Kazakhstan and Pavlodar regions. Methods: Five case groups, residing in the vicinity to the former Semipalatinsk Nuclear Test Site (Akzhar, Borodulikha, and Karaul) or in proximity to industrial plants (Aksu and Ust-Kamenogorsk) have been assessed vs. controls from a rural settlement in Kurchum. In total, 204 hair and blood samples were analyzed by inductively coupled plasma mass spectrometry. Results: The observed blood concentrations of trace elements were in agreement with earlier studies on residents of industrially polluted areas. Elevated levels of blood Ba, Mn, Pb, V, and Zn were detected in residents of Aksu and Ust-Kamenogorsk. The elemental composition of head hair was characterized by greater stability between the study sites. Conclusion: Residency near the former Semipalatinsk Test Site could be considered as safe, while the environmental status of industrial settlements appears to be rather adverse. Β© 2019 Elsevier Gmb
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