Indonesian Higher Education Learning Strategy Facing Industry 4.0: Program for Implementing The SPOCs Learning Model

Sudirwan, J.; Pelawi, Dewan

doi:10.1109/icimtech.2019.8843717

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…"(1) increased quality of higher education learning and student affairs; (2) increased quality of science and technology institutions and higher education; (3) increased relevance, quality and quantity of science and technology and higher education resources; (4) increased research and development relevance and productivity; and (5) Strengthening innovation capacity [27]. "…”

Section: Trillion Rupiah the Plans For Further Expansion Are Aggressi...mentioning

confidence: 99%

Challenges and Opportunities to Internationalize the Indonesian Higher Education Sector

Lambey¹,

Usoh²,

Lambey³

et al. 2024

Business, Management and Economics

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The higher education (HE) system in Indonesia is complex and fragmented, with 4.5 thousand universities offering over 25 thousand majors. The system includes public and private universities, institutes, schools of higher learning, academies, community colleges, and polytechnics. Despite growth in institutions and enrolments, the country’s higher education institutions rank low across global rating indicators. The major weaknesses within the higher education sector include the absence of consistent academic quality standards, inconsistent certification, accreditation, supervision, and monitoring processes, an absence of postgraduate-trained staff, and limited research output in recognized international journals. Programs are not linked to workforce skill requirements and graduate unemployment and underemployment rates are high. The word “Internationalization” for Indonesian higher education practically means to “go international” in every aspect of higher education including its education quality and standards, staffing, research, and graduates. The Indonesian government has given priority to the internationalization of universities that includes the goal that universities improve their competitiveness and quality so that they effectively compete globally for staff, students, and research funding. To internationalize, Indonesian universities will have to improve quality across staffing, programs, teaching, and research.

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Section: Trillion Rupiah the Plans For Further Expansion Are Aggressi...mentioning

confidence: 99%

Challenges and Opportunities to Internationalize the Indonesian Higher Education Sector

Lambey¹,

Usoh²,

Lambey³

et al. 2024

Business, Management and Economics

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“…The core question guiding this study explores students' Big Five personality traits regarding social well-being. The current challenges and understanding related to the higher education environment, such as disruption in education, human resource quality, and the use of recent technology in learning, will be analyzed to identify the choice of strategy to deal with technology disruption (Sudirwan & Pelawi, 2019). Some research suggests that the variances in the adoption of different Industry 4.0 technologies are related to projected benefits for the product, operations, and elements of negative effects in emerging economies (Sima et al, 2020).…”

Section: Related Workmentioning

confidence: 99%

“…Classification algorithms include Decision Tree, Neural Network, Naïve Bayes, K-Nearest neighbour, Random Forest, AdaBoost, and Support Vector Machines (Sudirwan & Pelawi, 2019). In this study, knowledge structures available in the WEKA software were employed to mine the dataset.…”

Section: Specifying the Selected Algorithmsmentioning

confidence: 99%

Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms

Nur Atiqah Rochin Demong,

Melissa Shahrom,

Ramita Abdul Rahim

et al. 2023

JICT

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The global trend of student social well-being has steadily declined in recent years. As a result, the need for a personalized recommendation classification model that can accurately assess and identify the individual student’s social well-being has become increasingly important. This article will discuss the development of an adaptive personalized recommendation classification model for students’ social well-being based on personality trait determinants. Social well-being is a field that analyses society, individual behavioural patterns, behavioural networks, and cultural elements of daily life. Social well-being develops critical thinking by understanding the social frameworks that affect humans by exposing the social basis of daily actions. For instance, when students are pleased, their academic achievement, behaviour, social integration, and happiness improve. This study classifies the effects of the Big 5 Personality Traits (Extraversion, Openness, Agreeableness, Emotional Stability, and Conscientiousness) on students’ Industry 4.0 Social Well-being levels by analyzing their demographic and personality traits. A dataset was gathered through a survey distributed to students in a selected institution. The classifier’s accuracy was assessed using the WEKA tool on a data set of 286 occurrences and 19 traits, and a confusion matrix was constructed. After analyzing the results of all algorithms, it was determined that the IBk and Randomizable Filtered Classifier algorithms give the best accuracy on social well-being readiness, with a comparable percentage value of 91.26%. The agreeableness personality trait, which represents a person’s level of pleasantness, politeness, and helpfulness, had the greatest influence on the social well-being of the students. They have a positive outlook on human behaviour and get along well with others. Since social well-being contributes to a person’s increased quality of life and happiness, improving students’ current quality of life would lead to the development of a social parameter that can assess the growth of a country and the increased happiness offamilies and communities. Personality traits models have become an increasingly important tool for understanding and predicting human behavior. By analyzing different personality trait models, we can gain insights into how accurately and reliably they can predict individual behavior. This is especially useful in fields such as psychology, marketing, and recruitment, where understanding the nuances of individual personalities can be critical to success. In this study, how different personality trait models compare in terms of accuracy and reliability is explored using different machine learning algorithms using the WEKA tool. Personality trait models are increasingly being used to measure social well-being. This model is based on the idea that individuals’ personalities are composed of a set of underlying traits which can be measured and compared. By understanding these traits, we can better understand the students’ social well-being and how the environment around them may impact it.

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“…To make things worse, the net citizens today have difficulties concentrating on tasks in traditional learning designs [1,2,4,67]. Although a lot of researchers have investigated the effectiveness of blended teaching for language classes [11,7,12,10,5,6,8], teaching writing with the support of Moodle platform is still underexplored considering the huge potential Moodle activities have to offer writing classes. In the teaching context of Vietnam, where Moodle has only recently found its way into tertiary language education, there is strong demand for research-based evidence to inform language teachers of the best practices.…”

Section: Introductionmentioning

confidence: 99%

Blended Online EFL Activities in MOODLE for Higher Education

Vu¹,

Due²,

Luong³

et al. 2021

Advances in Social Science, Education and Humanities Research

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A blended learning environment is becoming more and more important in all subject areas, especially language education. This study is conducted to investigate the effects of blended EFL writing activities on students' perceptions and writing performance. This study employs both quantitative and qualitative research methods. An experiment (n=40) was conducted with two groups of English majors having the same curriculum, course-book, facilities for 15 weeks. The experimental group takes weekly writing activities online while the control group does not. After the experiment, the experiment group was surveyed (n=20) and interviewed (n=12). Independent samples T-tests show that the experimental group doing their writing activities in a blended environment performs better than the control group doing those activities on paper. The questionnaire and interview data further confirm that students have positive perceptions of EFL writing activities in blended classes. It is suggested that EFL students should be given online writing activities blended with their traditional sessions. Designing interesting writing tasks, providing good topics for discussion, creating a more interactive online environment that boosts collaborative learning are good ways to motivate students and improve student performance.

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Indonesian Higher Education Learning Strategy Facing Industry 4.0: Program for Implementing The SPOCs Learning Model

Cited by 3 publications

References 6 publications

Challenges and Opportunities to Internationalize the Indonesian Higher Education Sector

Challenges and Opportunities to Internationalize the Indonesian Higher Education Sector

Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms

Blended Online EFL Activities in MOODLE for Higher Education

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