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Benjamin Kutsyuruba and Keith D. Walker

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Benjamin Kutsyuruba and Keith D. Walker

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Benjamin Kutsyuruba and Keith D. Walker

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Edited by Frank Adamson, Sylvain Aubry, Mireille de Koning and Delphine Dorsi

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Salla Sissonen

As an afterthought to the chapters in the book, this epilogue plays with the idea of looking to the future by briefly examining what is happening at earlier stages of education today. By understanding some of the objectives of the Finnish national core curriculum 2014 and taking a look at the practices at school, we can imagine the optimal skillsets that a now 12-year-old child will have when they enter higher education in a few years’ time. Optimally, we will be faced with a person with a developed understanding of how they learn best, a creative learner and problem-solver with skills in meaningful use of technology. This chapter argues that it does not mean the efficient future learners will not require teaching; on the contrary, we will continue to need competent pedagogical thinkers to guide the students on their individual paths to lifelong-learning.

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Annika Zorn, Jeff Haywood and Jean-Michel Glachant

The introduction discusses how the digital trend that has substantially disrupted other sectors is transforming the higher education sector or even posing a threat to academic institutions’ core business. What could be the rationale for higher education institutions to incorporate a comprehensive digital agenda into their core strategy? Outlining the main developments over the past years in the areas of education, research and knowledge sharing, the authors argue that academic institutions are still far from grasping the full potential of what the digital offers to the academy. Not only does the adoption of online and open practices allow universities to respond to major challenges facing them today, but a digital vision also allows higher education institutions to re-define their role in society. Subsequently, the authors outline how the examples discussed in the book, stemming from a variety of academic contexts, will enrich our understanding of what ‘moving online’ might entail and how to make it work in practice.

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Edited by Gita Steiner-Khamsi and Alexandra Draxler

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Mats Benner

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Ju-Ho Lee, Hyeok Jeong and Song Chang Hong

Over the last half century, Korea successfully escaped from poverty and socio-economic instability to achieve remarkable economic growth and democracy. An average Korean lived on 2.3 dollars per day in the 1950s; she now earns about 60 dollars per day. Since 1960, the Korean economy has maintained a 6 percent annual growth rate of real GDP per capita, becoming the 13th largest economy in the world (Maddison Project, 2013). This achievement is regarded as a historic case of sustainable growth. While several factors contributed to this outstanding growth, there is emerging consensus that Korea’s achievement of both sustained economic development and democracy is mainly due to its investment in people. At its initial stage of development, Korea faced problems similar to most other developing countries. To escape from a vicious cycle of poverty, Korea had to overcome a legacy of antiquated traditions in education and training. Koreans had traditionally neglected vocational and technical training, owing partly to Confucianism, which praises scholars of the humanities and farmers while disregards professions in manufacturing and trade. Because parents encouraged their children to pursue academic education in colleges and hold white-collar jobs, industries lagged behind with few technicians, skilled workers, and blue-collar workers. To make matters worse, Japanese colonial rule prohibited Koreans from accumulating both physical and human capital for entrepreneurship in industrial sectors. The three years of the Korean War with the division of the Korean peninsula also devastated the economic and social infrastructure and fundamentals for economic growth.

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Ju-Ho Lee, Hyeok Jeong and Song Chang Hong

It is well-known that Korean students’ performance belongs to the top group in international competence tests such as OECD’s PISA (Programme for International Student Assessment), which have been testing fifteen-yearold students from the OECD member countries in reading, mathematics and science every three years since 2000. Recently, the OECD implemented a similar test for adults during the period from 2011 to 2012, called PIAAC (Programme for the International Assessment of Adult Competencies), where the competence or skill levels of 16_65-year-old adults are measured in the three areas of literacy, numeracy and problem solving in technologyrich environment skills. Surprisingly, the performance of Korea’s adult population in the PIAAC test was quite disappointing. In contrast to the stellar performance of the Korean youth in PISA, Korean adults’ skill levels turned out to be slightly lower than the OECD averages. Furthermore, the gap between Korean skill level and the OECD average widens as the population gets older. We are motivated by this puzzling fact and attempt to explore the features of Korean adult skill levels from the PIAAC data. In particular, we focus on establishing empirical patterns of age–skill profile after controlling for a rich set of confounding factors rather than establishing the causal relationship. However, we will provide a benchmark study so as to infer that weak life-long learning is the key fundamental problem for the Korean education system and labor market. It would be difficult to establish a solid causal inference about the relationship between skill levels and age simply from observing that the skill level decreases in age from PIAAC. Such observation may indicate that the skill level deteriorates as people get older, which can be interpreted as a ‘depreciation’ of human capital stock with age for some reasons. However, this may also indicate that younger generations are more skilled than older generations. That is, it might indicate that there has been improvement in skill across cohorts during Korea’s development process. To distinguish between the two possible interpretations, we need to use panel data. PIAAC, however, provides a cross-sectional data at the moment so that the empirical pattern about the cross-sectional age–skill profile from PIAAC does not clearly tell us about the precise interpretation.