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Fulltext Mediating effect of utilisation of emotion on the relationship between grit and psychological contract

Ramasamy S, Yu SM

Jurnal Psikologi Malaysia, 2017;31:64-53.

At the contemporary workplace, employees are expecting non-tangible resources on top of economic benefits, which suggests the importance of psychological contract. However, studies to date are inclined to focus on outcomes of psychological contract. Given that psychological contract is a perception and involves fulfilment of obligations, employees’ grit and the ability of utilisation of emotion in facilitating cognitive processes might influence psychological contract. The aim of this paper is to examine the relationship between grit and psychological contract with emotional utilisation acting as the mediator in the relationship. Therefore, a cross-sectional survey was conducted. Data were collected from 194 university staff using three measures: Psychological Contract Inventory, Short Grit Scale, and Assessing Emotions Scale. Correlation was conducted to examine the relationships between the three constructs. Regression analysis was conducted using SPSS 23 to test for mediation effect of emotional utilisation. The results revealed that grit and utilisation of emotion had significant relationships with psychological contract respectively, and grit was also significantly related to utilisation of emotion. Moreover, utilisation of emotion mediated the relationship between grit and psychological contract. The findings provide implications for employers to take into account of grit and utilisation of emotion in addressing psychological contract of employees.

Matched MeSH terms: Universities
Extraversion, self-esteem and life-satisfaction as predictors of general well-being among academic college residents at a higher learning institution

Abdul Kadir NB, Desa A, Abdul Raop N, Chan ANF

Jurnal Psikologi Malaysia, 2011;25:26-31.

This initial study was conducted from September to February 2009 to examine predictors of general well-being among academic college residents at a higher learning institution. A set of questions was sent to 150 students who identified themselves as residents of the academic college, Universiti Kebangsaan Malaysia. The Eysenck Personality Questionnaire - short version was used to measure personality traits.The Rosenberg Self-esteem Questionnairewas used to measure self-esteem and Satisfaction with Life Scale to measure life-satisfaction. The general well-being scale was used to measure general well-being. Inter-correlation analysis has shown that extraversion was significantly correlated to self-esteem, life-satisfaction and general well-being whilst life-satisfaction was significantly correlated to general well-being. Multiple regression analysis showed that three factors significantly contributed to general well-being with a 24% explained variance. No significant differences were found between gender and general well-being.

Matched MeSH terms: Universities
Examining Rater Judgements in Music Performance Assessment using Many-Facets Rasch Rating Scale Measurement Model

Ooi PS, Engelhard G

J Appl Meas, 2019;20(1):79-99.
PMID: 30789834

The fairness of raters in music performance assessment has become an important concern in the field of music. The assessment of students' music performance depends in a fundamental way on rater judgements. The quality of rater judgements is crucial to provide fair, meaningful and informative assessments of music performance. There are many external factors that can influence the quality of rater judgements. Previous research has used different measurement models to examine the quality of rater judgements (e.g., generalizability theory). There are limitations with the previous analysis methods that are based on classical test theory and its extensions. In this study, we use modern measurement theory (Rasch measurement theory) to examine the quality of rater judgements. The many-facets Rasch rating scale model is employed to investigate the extent of rater-invariant measurement in the context of music performance assessments related to university degrees in Malaysia (159 students rated by 24 raters). We examine the rating scale structure, the severity levels of the raters, and the judged difficulty of the items. We also examine the interaction effects across musical instrument subgroups (keyboard, strings, woodwinds, brass, percussions and vocal). The results suggest that there were differences in severity levels among the raters. The results of this study also suggest that raters had different severity levels when rating different musical instrument subgroups. The implications for research, theory and practice in the assessment of music performance are included in this paper.

Matched MeSH terms: Universities
Fulltext A summary report of the workshop on the 'academic leadership training in the AIMST University, Malaysia'

Premkumar R, Bhore SJ

J Young Pharm, 2013 Jun;5(2):67-9.
PMID: 24023458 DOI: 10.1016/j.jyp.2013.04.001

In Malaysia, there are 81 (as on February 15, 2013) higher education institutions including satellite branches of the foreign universities. In northern part of the Peninsular Malaysia, AIMST University is the first private not-for-profit university and aims to become a premier private university in the country and the region. The workshop described in this article was designed to develop and enhance the capacity of academic staff-in-leadership-role for the University. This type of workshops may be a good method to enhance the leadership qualities of the head of each unit, department, school and faculty in each university.

Matched MeSH terms: Universities
Fulltext Malaysian medical students' self-reported empathy: A cross-sectional comparative study

Williams B, Sadasivan S, Kadirvelu A

Med J Malaysia, 2015 Apr;70(2):76-80.
PMID: 26162381

OBJECTIVES: The objective of this study was to compare empathy levels between first year and second year medical students at a Malaysian University.
SETTING: A Malaysian University offering undergraduate medicine.
PARTICIPANTS: 204 undergraduate medical students were included in the data analysis (122 first years, and 102 second years).
MAIN OUTCOME MEASURE: Self-reported empathy scores using the Jefferson Scale of Physician Empathy (Student Version) JSPE-S.
RESULTS: The mean empathy score for first year students was 112.1(SD=10.7). This was significantly higher (p<0.038; d=0.31) than second year students (mean=108.8, SD=10.4). No significant difference relating to gender was identified.
CONCLUSION: Cross-sectional results from this study found that that there were differences in self-reported empathy scores between year one and year two students. Further research is required to ascertain if these differences are maintained as students' progress thought their medical degree, and whether other factors such as internships, medical rotations or clinical supervision have any impact of medical students' empathy levels.
Study site: Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia

Matched MeSH terms: Universities
Fulltext Empathy levels among first year Malaysian medical students: an observational study

Williams B, Sadasivan S, Kadirvelu A, Olaussen A

Adv Med Educ Pract, 2014;5:149-56.
PMID: 24876799 DOI: 10.2147/AMEP.S58094

BACKGROUND: The literature indicates that medical practitioners experience declining empathy levels in clinical practice. This highlights the need to educate medical students about empathy as an attribute early in the academic curriculum. The objective of this study was to evaluate year one students' self-reported empathy levels following a 2-hour empathy workshop at a large medical school in Malaysia.
METHODS: Changes in empathy scores were examined using a paired repeated-measures t-test in this prospective before and after study.
RESULTS: Analyzing the matched data, there was a statistically significant difference and moderate effect size between mean empathy scores before and 5 weeks after the workshop (112.08±10.67 versus 117.93±13.13, P<0.0001, d=0.48) using the Jefferson Scale Physician Empathy (Student Version).
CONCLUSION: The results of this observational study indicate improved mean self-reported empathy scores following an empathy workshop.
KEYWORDS: Malaysia; empathy; medical students
Study site: Jeffry Cheah School of Medicine and Health Sciences, Monash University Malaysia.

Matched MeSH terms: Universities
Fulltext An assessment of dental students' empathy levels in Malaysia

Babar MG, Omar H, Lim LP, Khan SA, Mitha S, Ahmad SFB, et al.

Int J Med Educ, 2013;4:223-229.
DOI: 10.5116/ijme.5259.4513

Objectives: To examine the validity and reliability of the Jefferson Scale of Empathy-Health Care Provider Student version (JSE-HPS) in a sample of dental students in Malaysia, with the secondary aim of assessing empathy levels in first to final year dental students in public and private universities in Malaysia.
Methods: The JSE-HPS was administered to 582 first to fifth (final) year dental students; 441 were enrolled at two public universities and 141 at a private university in Malaysia. Both descriptive and inferential statistics were performed using SPSS® version 18.
Results: The JSE-HPS demonstrated good internal consistency (Cronbach’s α = 0.70). A three-factor solution emerged and included ‘perspective taking’, ‘compassionate care’ and ‘standing in patient’s shoes’ factors, accounting for 27.7%, 13.9%, and 6.3% of the variance, respectively. The total mean empathy score was 84.11±9.80, where the actual scores ranged from a low of 22.05 to a high of 133.35. Overall, male students (84.97 ± 11.12) were more empathic than female students (83.78±9.24). Fourth-year students were more empathic than students in other undergraduate years, and public university students had significantly higher mean empathy score compared to those enrolled at a private university (84.74 versus 82.13, p=0.001).
Conclusions: This study confirms the construct validity and internal consistency of the JSE-HPS for measuring empathy in dental students. Empathy scores among students vary depending on type of university and year of study. Future studies, preferably longitudinal in design should explore changes in empathy among dental students during progression through undergraduate courses.
Keywords: Empathy, dental, students, university, Malaysia
Study site: University of Malaya (UM), University Technology Mara (UiTM), International Medical University (IMU), Malaysia

Matched MeSH terms: Universities
Fulltext An assessment of pharmacy students’ empathy levels in Malaysia

Hasan SS, Babar MG, Kai K, Mitha S

Journal of Advanced Pharmacy Education & Research, 2013;3:531-40.

This study examined the validity and reliability of the student version of Jefferson Scale of Empathy-Health Profession (JSE-HPS) in a sample of pharmacy students and to subsequently use JSE-HPS to assess empathy levels in first to fourth (final) year pharmacy students in public and private universities in Malaysia. The JSE-HPS was administered to 719 first to fourth (final) year pharmacy students; 313 were enrolled at a public university and 406 at a private university in Malaysia. Both descriptive and inferential statistics were performed using SPSS® version 18. The JSE-HPS demonstrated good internal consistency (Cronbach’s α = 0.70). A three-factor solution emerged and included ‘perspective taking’, ‘compassionate care’ and ‘standing in patient’s shoes’ factors, accounting for 16.4%, 16%, and 7.6% of the variance, respectively. The total mean empathy score was 83.02±8.23, the actual score ranged between 46.05 and 113.25. Overall, males and students of Malay origin were more empathic than females and students of other ethnic origins. Junior students (year one and two) were more empathic than senior students (year three and four), and public university students had significantly higher mean empathy score compared to those enrolled at a private university (83.89 versus 82.34, p=0.012). This study confirms the construct validity and internal consistency of the JSE-HPS for measuring empathy in pharmacy students. Empathy scores among students vary depending on type of university and year of study.
Keywords: Empathy, pharmacy students, public, private, university, Malaysia
Study site: University Kebangsaan Malaysia (UKM), International Medical University (IMU), Malaysia

Matched MeSH terms: Universities
Fulltext Investigating the psychometric properties of the Jefferson Scale of Physician Empathy in a sample of Malaysian medical students

Spasenoska M, Costello S, Williams B

Adv Med Educ Pract, 2016;7:331-9.
PMID: 27350763 DOI: 10.2147/AMEP.S96591

OBJECTIVE: The purpose of this present study was to investigate the psychometric properties of the Jefferson Scale of Physician Empathy - student version (JSPE-S).
SUBJECTS AND METHODS: This study recruited 193 Malaysian medical students enrolled in year one and year two studies. A principal-component analysis with Varimax rotation was conducted. Procrustes rotation was used to confirm the item to model fit, which allows for a comparison of actual structure against an ideal hypothesized structure. Items were systematically removed based on low communalities of < 0.3 and poor loading of items onto components.
RESULTS: A two-component solution was found, comprised of "perspective taking" and "compassionate care". Following item removal, eleven items remained. A Procrustes analysis revealed that this eleven-item measure demonstrated an excellent model fit. A possible third component was identified, though is not recommended for use, due to construct underrepresentation.
CONCLUSION: This study found the Jefferson Scale of Physician Empathy fitted best to a two-component model using eleven items. Item, component, and overall congruence were very high, and scale reliabilities were adequate. The results of this study suggest that the eleven-item, two-component solution demonstrates excellent psychometric properties and structural validity in a Malaysian medical student population. Future research could consider using the short eleven-item measure in both student and health care profession samples to investigate the role of empathy in health care.
Study site:; Jeffry Cheah School of Medicine and Health Sciences, Monash University Malaysia.

Matched MeSH terms: Universities
Fulltext An improved wrapper-based feature selection method for machinery fault diagnosis

Hui KH, Ooi CS, Lim MH, Leong MS, Al-Obaidi SM

PLoS One, 2017;12(12):e0189143.
PMID: 29261689 DOI: 10.1371/journal.pone.0189143

A major issue of machinery fault diagnosis using vibration signals is that it is over-reliant on personnel knowledge and experience in interpreting the signal. Thus, machine learning has been adapted for machinery fault diagnosis. The quantity and quality of the input features, however, influence the fault classification performance. Feature selection plays a vital role in selecting the most representative feature subset for the machine learning algorithm. In contrast, the trade-off relationship between capability when selecting the best feature subset and computational effort is inevitable in the wrapper-based feature selection (WFS) method. This paper proposes an improved WFS technique before integration with a support vector machine (SVM) model classifier as a complete fault diagnosis system for a rolling element bearing case study. The bearing vibration dataset made available by the Case Western Reserve University Bearing Data Centre was executed using the proposed WFS and its performance has been analysed and discussed. The results reveal that the proposed WFS secures the best feature subset with a lower computational effort by eliminating the redundancy of re-evaluation. The proposed WFS has therefore been found to be capable and efficient to carry out feature selection tasks.

Matched MeSH terms: Universities
Fulltext Effectiveness of digital mental health interventions for university students: an umbrella review

Harith S, Backhaus I, Mohbin N, Ngo HT, Khoo S

PeerJ, 2022;10:e13111.
PMID: 35382010 DOI: 10.7717/peerj.13111

BACKGROUND: Poor mental health among university students remains a pressing public health issue. Over the past few years, digital health interventions have been developed and considered promising in increasing psychological wellbeing among university students. Therefore, this umbrella review aims to synthesize evidence on digital health interventions targeting university students and to evaluate their effectiveness.
METHODS: A systematic literature search was performed in April 2021 searching PubMed, Psychology and Behavioural Science Collection, Web of Science, ERIC, and Scopus for systematic reviews and meta-analyses on digital mental health interventions targeting university students. The review protocol was registered in the International Prospective Register of Systematic Reviews PROSPERO [CRD42021234773].
RESULTS: The initital literature search resulted in 806 records of which seven remained after duplicates were removed and evaluated against the inclusion criteria. Effectiveness was reported and categorized into the following six delivery types: (a) web-based, online/computer-delivered interventions (b) computer-based Cognitive Behavior Therapy (CBT), (c) mobile applications and short message service (d) virtual reality interventions (e) skills training (f) relaxation and exposure-based therapy. Results indicated web-based online/computer delivered-interventions were effective or at least partially effective at decressing depression, anxiety, stress and eating disorder symptoms. This was similar for skills-training interventions, CBT-based intervention and mobile applications. However, digital mental health interventions using virtual reality and relaxation, exposure-based therapy was inconclusive. Due to the variation in study settings and inconsistencies in reporting, effectiveness was greatly dependent on the delivery format, targeted mental health problem and targeted purpose group.
CONCLUSION: The findings provide evidence for the beneficial effect of digital mental health interventions for university students. However, this review calls for a more systematic approach in testing and reporting the effectiveness of digital mental health interventions.

Matched MeSH terms: Universities
Fulltext Mediating Role of Intra-Team Conflict between Paternalistic Leadership and Decision-Making Quality among China University's CMT during COVID-19

Cheah KSL, Abdullah Z, Xiao M

Int J Environ Res Public Health, 2022 Sep 16;19(18).
PMID: 36141967 DOI: 10.3390/ijerph191811697

Universities across China have set up crisis management teams (CMTS) to deal with the crisis brought on by the COVID-19 pandemic. This study focuses on how the paternalistic leadership practices of a Chinese university CMT influence crisis strategic decisions by managing conflict. These relationships were verified using hierarchical regression analysis on 312 samples from the surveyed university during the pandemic and found the following: benevolent leadership and moral leadership have positive effects on decision quality. However, unlike most studies on paternalistic leadership, in crisis situations, the negative effects of authoritarian leadership disappear under the mediating effect of affective conflict. This means that affective conflict within CMT fully mediates the relationship between authoritarian leadership and decision quality, and partially mediates the relationship between moral leadership and decision quality, while cognitive conflict partially mediates the relationship between benevolent leadership and crisis decision quality. It indicates that a CMT must stimulate and maintain a certain level of cognitive conflict while suppressing affective conflict to achieve high-quality crisis decision-making. This state can be achieved by practicing lower levels of authoritarian leadership and maintaining high levels of moral and benevolent leadership practices.

Matched MeSH terms: Universities
Fulltext Evaluation of in silico predictors on short nucleotide variants in HBA1, HBA2, and HBB associated with haemoglobinopathies

Tamana S, Xenophontos M, Minaidou A, Stephanou C, Harteveld CL, Bento C, et al.

Elife, 2022 Dec 01;11.
PMID: 36453528 DOI: 10.7554/eLife.79713

Haemoglobinopathies are the commonest monogenic diseases worldwide and are caused by variants in the globin gene clusters. With over 2400 variants detected to date, their interpretation using the American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) guidelines is challenging and computational evidence can provide valuable input about their functional annotation. While many in silico predictors have already been developed, their performance varies for different genes and diseases. In this study, we evaluate 31 in silico predictors using a dataset of 1627 variants in HBA1, HBA2, and HBB. By varying the decision threshold for each tool, we analyse their performance (a) as binary classifiers of pathogenicity and (b) by using different non-overlapping pathogenic and benign thresholds for their optimal use in the ACMG/AMP framework. Our results show that CADD, Eigen-PC, and REVEL are the overall top performers, with the former reaching moderate strength level for pathogenic prediction. Eigen-PC and REVEL achieve the highest accuracies for missense variants, while CADD is also a reliable predictor of non-missense variants. Moreover, SpliceAI is the top performing splicing predictor, reaching strong level of evidence, while GERP++ and phyloP are the most accurate conservation tools. This study provides evidence about the optimal use of computational tools in globin gene clusters under the ACMG/AMP framework.

Matched MeSH terms: Universities
Genre analysis of introduction section in electrical engineering undergraduate laboratory reports

Veerappan V, Ahmad M, Balakrishnan K, Aris MA, Suan WH

F1000Res, 2022;11:163.
PMID: 38699146 DOI: 10.12688/f1000research.73461.3

BACKGROUND: This study examines the genre of Engineering Laboratory Reports (ELR) introduction section written by Electrical Engineering Undergraduates in a higher learning institution. The aims of this study are to identify the rhetorical moves and combinations of move patterns used by electrical engineering (EE) students to write introduction section.
METHOD: A genre analysis was conducted to identify writing patterns and convention practices of engineering undergraduate students thus a corpus of N = 35 was selected from electrical engineering students in their final year of study. This study adopted Genre Theory as its theoretical framework, Ngowu 1997 analytical framework and BCU approach for analysis procedure. A pilot test was conducted to determine the model that fits the best to describe moves and steps of ELR. Coding scheme was developed and intercoder reliability showed a significance of 0.91 The study benchmarks a move or step to be present in at least 60% of the reports.
RESULTS: The finding shows the introduction consists of one main move which is providing background information of the experiment and followed by four subsequent steps which are reference to research purposes, reference to theoretical knowledge in the field, providing an overview of the study and identification of main research apparatus. The move 1 and all four steps identified above are viewed as obligatory, conventional and optional move and steps in introduction section among undergraduates in academic context. The exemplification of finding shows lack of compliance among undergraduates to produce EELR based on university's guideline in discussing previous literature and underpinning theories, lack of referencing and citation, absence in describing apparatus used and non-sequential moves steps.
CONCLUSION: This study posits the importance of collaboration between English for Academic (EAP) practitioners such as English-writing instructors and discipline specific specialist from engineering field to further improve on genre-based writing instruction, and to identify student learning needs. The method employed in this study may be replicated to analyse other sections of scientific and technical reports such as method, result, discussion and conclusion (MRDC) that may pave ways to address grey areas for improvement in this genre.

Matched MeSH terms: Universities
Impact of brand equity and service quality on the reputation of universities and students' intention to choose them: The case of IIUM and UIN

Rizard SR, Waluyo B, Jaswir I

F1000Res, 2022;11:1412.
PMID: 37767070

Background: Numerous studies have been carried out on the impacts of brand equity and service quality of higher education institutions (HEIs) on their reputation and students' satisfaction. This research aimed to compare the impact of brand equity and service quality on universities' reputations, namely Universitas Islam Negeri (UIN) in Indonesia and International Islamic University Malaysia (IIUM) in Malaysia, and Indonesian students' intention to choose the universities, which is moderated by study expense (price). UIN and IIUM are HEIs with a similar university concept, and Indonesian students have recently shown a high interest in them. The two universities have faculties not only in the field of Islamic studies but in general fields of studies as well, which are usually held by non-Islamic Universities. Therefore, their competitiveness against non-Islamic universities, especially the University of Indonesia (UI) has increased. Methods: The statistical measurement tool used was structural equation modeling (SEM). The number of items stated in the questionnaire was 45. Therefore, minimum data to be collected were 5 × 45 or 225 which rounded up to 228 from Indonesian students at UIN and IIUM (114 UIN students, and 114 Indonesian student respondents from IIUM). Results: The study results show that the universities' reputations are strongly affected by their brand equity and service quality, which then affect students' intention to choose the universities. Students had a higher intention to choose IIUM than UIN. The limitation of this research is that the effect of study expense on the intention of Indonesian students to study at UIN or IIUM has not yet been conducted. It will be conducted in the next study. Conclusions: These results are expected to be useful to UIN, IIUM, and especially Politeknik Negeri Jakarta (PNJ) in determining a strategy to enhance their reputations and the intention of Indonesian students to study there.

Matched MeSH terms: Universities
First report of the genus Spinomarmessoidea (Phasmatodea, Lonchodidae, Necrosciinae) from China, with the description of a new species

Gao HR, Yong-He Li

Zootaxa, 2023 Feb 09;5239(2):280-288.
PMID: 37045098 DOI: 10.11646/zootaxa.5239.2.6

The recently described genus Spinomarmessoidea is comprised of only 2 species from Peninsular Malaysia. The 3rd species of this genus, Spinomarmessoidea damingensis sp. nov. is described from Guangxi Province, China. The new species represents the first record of this genus in China. The granulose head of new species without large spines and mesonotum with short spines are distinguished from the other 2 species. A key to the female of this genus is compiled. Type materials are deposited in the Yunnan Agricultural University (YNAU).

Matched MeSH terms: Universities
Fulltext Design of Learning Environment for Undergraduate Comprehensive Literacy Education under Blended Learning Environment

Wang X, Yu L, Wang Z

J Environ Public Health, 2022;2022:9602876.
PMID: 36200091 DOI: 10.1155/2022/9602876

Blended learning has become the dominant teaching approach in colleges and universities as they evolve. A good learning environment design can represent college and university teaching quality, improve undergraduates' literacy, and boost talent training. This paper introduces the data mining method of undergraduate comprehensive literacy education, discovers the association rules of the evaluation data, and introduces the undergraduate comprehensive literacy evaluation model and BP neural network model driven by theory and technology in a mixed learning environment, which promotes students' comprehensive literacy evaluation and builds a good learning environment. The results demonstrate that undergraduate classification prediction accuracy is similar by data mining, and most reach 99.58 percent. So, whether it is the training sample or the test sample, the prediction result of undergraduate comprehensive literacy is acceptable, which illustrates the validity of the data mining algorithm model and has strong application importance for developing a better learning environment.

Matched MeSH terms: Universities
Fulltext Synchronous online learning during movement control order in higher education institutions: a systematic review

Lee YW, Dorasamy M, Bin Ahmad AA, Jambulingam M, Yeap PF, Harun S

F1000Res, 2021;10:1056.
PMID: 34950456 DOI: 10.12688/f1000research.73342.2

Background: Higher education institutions (HEI) are not spared from the coronavirus disease 2019 (COVID-19) pandemic. The closure of campuses because of the movement control order (MCO) to mitigate the spread of the COVID-19 has forced HEIs to adopt online learning, especially synchronous online learning (SOL). Although teaching and learning can be continued via SOL, retaining students' interest and sustaining their engagement have not been sufficiently explored. This study presents a systematic review of the research pertaining to SOL associated with students' interest and engagement in HEIs during the MCO environment. Methods: Five major online databases, i.e., EBSCOhost, Science Direct, Emerald, Scopus and Springer were searched to collect relevant papers published between 1st January 2010 to 15th June 2021 including conference proceedings, peer-reviewed papers and dissertations. Papers written in the English language, based in full-fledged universities, and with these five keywords: (i) synchronous online learning, (ii) engagement, (iii) interest, (iv) MCO/Covid-19 and (v) HEI, were included. Papers focussing on synchronous and asynchronous online learning in schools and colleges were excluded. Each paper was reviewed by two reviewers in order to confirm the eligibility based on the inclusion and exclusion criteria. Results: We found 31 papers of which six papers were related to SOL, engagement and interest in HEIs in the MCO environment. Our review presents three major findings: (i) limited research has been conducted on SOL associated with students' engagement and interest, (ii) studies related to the context of HEIs in the MCO environment are limited, and (iii) the understanding of the new phenomena through qualitative research is insufficient. We highlight the SOL alignment with students' engagement, interest, style preference, learner interaction effectiveness, behavior and academic performance. Conclusions: We believe that the findings of this study are timely and require attention from the research community.

Matched MeSH terms: Universities
Fulltext Constructing a student development model for undergraduate vocational universities in China using the Fuzzy Delphi Method and Analytic Hierarchy Process

Xing Q, Tan HP, Gan SW

PLoS One, 2024;19(3):e0301017.
PMID: 38517919 DOI: 10.1371/journal.pone.0301017

As the industrial structure changes, the severe shortage of high-quality technical and skilled talent in China is one of the most significant factors affecting the high-quality development of China's economy. Bridging the gap between cultivating talent from new undergraduate vocational universities and the demand for industrial talent is regarded as an efficient strategy to address the talent shortage. In addressing the gap, China is hindered by a lack of clarity regarding student development goals and effective assessment instruments. Thus, this study aimed to use the Fuzzy Delphi Method (FDM) and the Analytical Hierarchy Process (AHP) to overcome the above challenges. Specifically, we used the FDM to establish a five-level undergraduate vocational education student development model with two 2nd-level indicators, three 3rd-level indicators, eight 4th-level indicators, and 33 5th-level indicators to clarify student development goals. Then, the AHP was applied to determine the indicator weights, and a student development assessment instrument was developed to help universities acquire student development data and improve the matching degree between talent supply and demand. This study could help undergraduate vocational universities cultivate high-quality technical and skilled talent quickly to meet the demand for China's new economic system and to promote industry independence and global competitiveness.

Matched MeSH terms: Universities
Fulltext A multinational study on the factors influencing university students' attitudes and usage of ChatGPT

Abdaljaleel M, Barakat M, Alsanafi M, Salim NA, Abazid H, Malaeb D, et al.

Sci Rep, 2024 Jan 23;14(1):1983.
PMID: 38263214 DOI: 10.1038/s41598-024-52549-8

Artificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed to investigate the factors influencing university students' attitudes and usage of ChatGPT in Arab countries. The survey instrument "TAME-ChatGPT" was administered to 2240 participants from Iraq, Kuwait, Egypt, Lebanon, and Jordan. Of those, 46.8% heard of ChatGPT, and 52.6% used it before the study. The results indicated that a positive attitude and usage of ChatGPT were determined by factors like ease of use, positive attitude towards technology, social influence, perceived usefulness, behavioral/cognitive influences, low perceived risks, and low anxiety. Confirmatory factor analysis indicated the adequacy of the "TAME-ChatGPT" constructs. Multivariate analysis demonstrated that the attitude towards ChatGPT usage was significantly influenced by country of residence, age, university type, and recent academic performance. This study validated "TAME-ChatGPT" as a useful tool for assessing ChatGPT adoption among university students. The successful integration of ChatGPT in higher education relies on the perceived ease of use, perceived usefulness, positive attitude towards technology, social influence, behavioral/cognitive elements, low anxiety, and minimal perceived risks. Policies for ChatGPT adoption in higher education should be tailored to individual contexts, considering the variations in student attitudes observed in this study.

Matched MeSH terms: Universities

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