scholarly journals Perceived challenges towards Education 4.0 implementation among academicians: A preliminary analysis

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Yunita Awang ◽  
Azuraidah Taib ◽  
Nazuha Muda
Keyword(s):  
Teaching And Learning ◽  
Industrial Revolution ◽  
Future Research ◽  
It Infrastructure ◽  
Comprehensive University ◽  
Digital Platforms ◽  
Comprehensive Universities ◽  
Main Challenge ◽  
Learning Techniques ◽  
The Relationship

The Industrial Revolution caused major changes in the economy and advancement in technology. Specifically, IR4.0 stimulates the development of Education 4.0, in which the use of information, internet and technology become part of the teaching and learning process allowing students to learn at any time through digital platforms. Promoting for Education 4.0 involved challenges particularly constant changes in the teaching and learning techniques, and the facilities to cater to the technology demands. This study attempts to assess perceived challenges towards Education 4.0 implementation among the academicians at a comprehensive university and to explore the relationship between gender and perceived challenges among them. Based on purposive sampling, online questionnaires were distributed via google form to a population of 352 academicians in the selected comprehensive university. Data gathered from 127 responses were analysed using SPSS. The findings indicate the majority of the respondents perceived IT infrastructure as the main challenge, while the skills of individuals are the least challenges towards Education 4.0 implementation. However, there is no evidence of a significant association between gender and any of the perceived challenges items. Thus, regardless of male or female academicians, they have a similar perception of the challenges towards Education 4.0 implementation. The findings assist the Education 4.0 stakeholders to look into those perceived challenges and take necessary actions such as increasing budget allocation for IT facilities, as a support towards the success of Education 4.0 implementation. Future research may be undertaken to examine more specific infrastructure challenges in implementing education 4.0 at other comprehensive universities as well as at research universities and focused universities. Keywords: IR4.0, Education 4.0, Academicians, Challenges, Gender

scholarly journals BRIDGING THE DIGITAL DIVIDE IN EDUCATION: POLICIES AND STRATEGIES IN MALAYSIA

2021 ◽  
Vol 6 (25) ◽  
pp. 157-170
Author(s):  
Noor Hadzlida Ayob ◽  
Intan Suria Hamzah ◽  
Mohd Amar Aziz
Keyword(s):  
Digital Divide ◽  
Digital Literacy ◽  
Teaching And Learning ◽  
Industrial Revolution ◽  
Future Research ◽  
Education Policies ◽  
Digital Education ◽  
Digital Development ◽  
Education Policy Implementation ◽  
The Internet Of Things

Digital education is now one of the main drivers of the country's economic development. Mastery in digital skills is becoming increasingly important in the era of the industrial revolution 4.0, the internet of things as well as technology-based teaching and learning processes. However, all these agenda towards digital development is seen as a mere rhetorical statement if the digital divide is still wide in the country. Thus, this article takes the initiative to dismantle the digital education policy implementation in the country and also attempts to see how strategies will be applied to reduce the digital divide in education. Success in ensuring the reduction of the digital divide is important to further increase the rate of digital literacy and at the same time fostering the process of innovation in society. The emphasis on digital education is also seen in line with the 4th sustainable development goal which is to access quality education and the 10th goal which is to reduce inequality. The discussion from this concept paper then produces some recommendations for future research to studies on the aspects of policy and strategies improvement needed in bridging the digital divide in the country.

scholarly journals Using Deep Learning to Predict Sentiments: Case Study in Tourism

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
C. A. Martín ◽  
J. M. Torres ◽  
R. M. Aguilar ◽  
S. Diaz
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Short Term Memory ◽  
Tourism Industry ◽  
Digital Platforms ◽  
Mass Tourism ◽  
Link Type ◽  
Learning Techniques ◽  
The Relationship

Technology and the Internet have changed how travel is booked, the relationship between travelers and the tourism industry, and how tourists share their travel experiences. As a result of this multiplicity of options, mass tourism markets have been dispersing. But the global demand has not fallen; quite the contrary, it has increased. Another important factor, the digital transformation, is taking hold to reach new client profiles, especially the so-called third generation of tourism consumers, digital natives who only understand the world through their online presence and who make the most of every one of its advantages. In this context, the digital platforms where users publish their impressions of tourism experiences are starting to carry more weight than the corporate content created by companies and brands. In this paper, we propose using different deep-learning techniques and architectures to solve the problem of classifying the comments that tourists publish online and that new tourists use to decide how best to plan their trip. Specifically, in this paper, we propose a classifier to determine the sentiments reflected on the http://booking.com and http://tripadvisor.com platforms for the service received in hotels. We develop and compare various classifiers based on convolutional neural networks (CNN) and long short-term memory networks (LSTM). These classifiers were trained and validated with data from hotels located on the island of Tenerife. An analysis of our findings shows that the most accurate and robust estimators are those based on LSTM recurrent neural networks.

scholarly journals Benefits and Limitations of the Artificial with Respect to the Traditional Learning of Mathematics

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 611
Author(s):  
Michael Gr. Voskoglou ◽  
Abdel-Badeeh M. Salem
Keyword(s):  
Teaching And Learning ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Learning Theories ◽  
Future Research ◽  
Traditional Learning ◽  
Teaching Mathematics ◽  
Physical Systems ◽  
Advantages And Disadvantages ◽  
The Subject

The present article focuses on the role that the artificial teaching and learning of mathematics could play for education in the forthcoming era of a new industrial revolution that will be characterized by the development of an advanced Internet of things and energy, and by the cyber-physical systems controlled through it. Starting with a brief review of the traditional learning theories and methods of teaching mathematics, the article continues by studying the use of computers and of applications of artificial intelligence (AI) in mathematics education. The advantages and disadvantages of artificial with respect to traditional learning in the classroom are also discussed, and the article closes with the general conclusions and a few comments on the perspectives of future research on the subject.

Investigating washback in Japanese EFL classrooms

1996 ◽  
Vol 13 ◽  
pp. 208-239 ◽  
Author(s):  
Yoshinori Watanabe
Keyword(s):  
Empirical Research ◽  
Teaching And Learning ◽  
Negative Impact ◽  
Future Research ◽  
Ethnographic Research ◽  
Entrance Exams ◽  
Efl Classrooms ◽  
The Relationship

Abstract In Japan it has long been considered that university entrance exams have a negative impact on teaching and learning of English in schools. Recent research, however, suggests that the relationship between testing and teaching is not so simple and requires finegrained ethnographic research in order to fully understand its complexities. This paper argues the case for the necessity of conducting empirical research before any conclusions about the presence or absence of washback can be drawn. An example of this type of research is offered and the processes involved in investigating washback in the Japanese context are described in such a way as to provide a model for future research in this area.

scholarly journals Syntactic Errors in an Arab EFL Postgraduate Student’s Spoken English during a Thesis Supervision Session

2019 ◽  
Author(s):  
Ahmed Abdoualzhraa Yaseen ◽  
Kemboja Ismail ◽  
Mohamad Subakir Mohd Yasin
Keyword(s):  
Teaching And Learning ◽  
First Language ◽  
Future Research ◽  
Contributing Factors ◽  
Post Graduate ◽  
Face To Face ◽  
Spoken English ◽  
Learning Techniques ◽  
Post Graduate Student ◽  
Restricted Use

This study investigates the syntactic errors in speaking among an Arab L2 post-graduate student in an academic speaking context. Specifically, the objectives are to describe the syntax error patterns committed by the student while engaging in speaking and to explore the contributing factors that may affect the errors. To address these objectives, a qualitative research method is employed. Data was collected through audio-tape recordings and a face-to-face interview with the participant. The recorded data was transcribed and coded based on Noor Hashim's (1996) seven categories of errors. The findings indicate that some of the first language (L1) negative transfer errors fall into five out of seven categories of Noor Hashim's classification; however, new categories are discovered, such as wrong verb choice, noun forms, overly restricted use of pronouns, and omission of necessary complementizers. These errors can be explained by interference from the L1 and another contributing factor is the limited use of some strategies, such as repetition and confirmation. The significance of this study is a direct pedagogical implication to expose post-graduate students to academic spoken English. This is to avoid miscommunication between students and their academic supervisors. It is recommended that future research examine new teaching and learning techniques of academic spoken English to be incorporated into the classrooms.

Industry 4.0 and Lean Manufacturing

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcos Pagliosa ◽  
Guilherme Tortorella ◽  
Joao Carlos Espindola Ferreira
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Operational Performance ◽  
Value Stream Mapping ◽  
Future Research ◽  
Positive Interaction ◽  
Content Type ◽  
Value Stream ◽  
The Relationship

Purpose The purpose of this paper is to aim at identifying the relationships between Industry 4.0 (I4.0) technologies and Lean Manufacturing (LM) practices. Design/methodology/approach A systematic literature review was conducted, in which 93 studies were analyzed according to their content and contextualization level. Findings In total, 9 I4.0 technologies and 14 LM practices were identified and categorized according to different levels of both value stream application and synergy. From the 126 pairwise relationships, 24 were classified as being of high synergy (e.g. relationship between Cyber-Physical Systems and value stream mapping), revealing the existence of a positive interaction between LPs and I4.0 technologies toward the achievement of a higher operational performance. Further, three future research opportunities were suggested: to validate the proposed synergies among LPs and I4.0 technologies; to distinguish the effects of relationships on all levels of flow; and to examine the effect of such relationships on operational performance. Originality/value With the emergence of the Fourth Industrial Revolution, the specificities on the relationship between LM and I4.0 still need further investigation. This paper provides a better understanding of existing literature related to I4.0, LM, and their relationship, as well as pointing out research gaps to encourage future works.

Symptoms of Alcohol Dependence Predict Suicide Ideation Among Alaskan Undergraduates

Crisis ◽  
2016 ◽  
Vol 37 (3) ◽  
pp. 232-235 ◽  
Author(s):  
Christopher R. DeCou ◽  
Monica C. Skewes
Keyword(s):  
Depressive Symptoms ◽  
Alcohol Consumption ◽  
Alcohol Dependence ◽  
Suicide Ideation ◽  
Alcohol Problems ◽  
Future Research ◽  
Causal Mechanism ◽  
Students At Risk ◽  
The Relationship ◽  
Alcohol Related Problems

Abstract. Background: Previous research has demonstrated an association between alcohol-related problems and suicidal ideation (SI). Aims: The present study evaluated, simultaneously, alcohol consequences and symptoms of alcohol dependence as predictors of SI after adjusting for depressive symptoms and alcohol consumption. Method: A sample of 298 Alaskan undergraduates completed survey measures, including the Young Adult Alcohol Consequences Questionnaire, the Short Alcohol Dependence Data Questionnaire, and the Beck Depression Inventory – II. The association between alcohol problems and SI status was evaluated using sequential logistic regression. Results: Symptoms of alcohol dependence (OR = 1.88, p < .05), but not alcohol-related consequences (OR = 1.01, p = .95), emerged as an independent predictor of SI status above and beyond depressive symptoms (OR = 2.39, p < .001) and alcohol consumption (OR = 1.08, p = .39). Conclusion: Alcohol dependence symptoms represented a unique risk for SI relative to alcohol-related consequences and alcohol consumption. Future research should examine the causal mechanism behind the relationship between alcohol dependence and suicidality among university students. Assessing the presence of dependence symptoms may improve the accuracy of identifying students at risk of SI.

The Relationship Between Interoception and Metacognition

2016 ◽  
Vol 30 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Judith Meessen ◽  
Verena Mainz ◽  
Siegfried Gauggel ◽  
Eftychia Volz-Sidiropoulou ◽  
Stefan Sütterlin ◽  
...  
Keyword(s):  
Memory Performance ◽  
Memory Task ◽  
Demographic Characteristics ◽  
Metacognitive Awareness ◽  
Interoceptive Awareness ◽  
Future Research ◽  
Heartbeat Perception ◽  
Interoceptive Accuracy ◽  
The Relationship

Abstract. Recently, Garfinkel and Critchley (2013) proposed to distinguish between three facets of interoception: interoceptive sensibility, interoceptive accuracy, and interoceptive awareness. This pilot study investigated how these facets interrelate to each other and whether interoceptive awareness is related to the metacognitive awareness of memory performance. A sample of 24 healthy students completed a heartbeat perception task (HPT) and a memory task. Judgments of confidence were requested for each task. Participants filled in questionnaires assessing interoceptive sensibility, depression, anxiety, and socio-demographic characteristics. The three facets of interoception were found to be uncorrelated and interoceptive awareness was not related to metacognitive awareness of memory performance. Whereas memory performance was significantly related to metamemory awareness, interoceptive accuracy (HPT) and interoceptive awareness were not correlated. Results suggest that future research on interoception should assess all facets of interoception in order to capture the multifaceted quality of the construct.

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

Coping Humor as a Mediator Between Emotional Intelligence and Job Satisfaction

2017 ◽  
Vol 16 (3) ◽  
pp. 155-159 ◽  
Author(s):  
Peizhen Sun ◽  
Jennifer J. Chen ◽  
Hongyan Jiang
Keyword(s):  
Job Satisfaction ◽  
Emotional Intelligence ◽  
Future Research ◽  
Satisfaction Scale ◽  
Primary School Teachers ◽  
Mediating Role ◽  
Regulation Of Emotion ◽  
The Relationship ◽  
Overall Job Satisfaction

Abstract. This study investigated the mediating role of coping humor in the relationship between emotional intelligence (EI) and job satisfaction. Participants were 398 primary school teachers in China, who completed the Wong Law Emotional Intelligence Scale, Coping Humor Scale, and Overall Job Satisfaction Scale. Results showed that coping humor was a significant mediator between EI and job satisfaction. A further examination revealed, however, that coping humor only mediated two sub-dimensions of EI (use of emotion and regulation of emotion) and job satisfaction. Implications for future research and limitations of the study are discussed.

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