University Growth: Influence and Dispersion

University Growth: Influence and Dispersion

DOI: 10.4018/978-1-6684-7327-6.ch001
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Abstract

This chapter aims to conceptualize e-learning and artificial intelligence as a progression in the geo-historical process of university evolution and expansion in an increasingly globalizing world. Perkin identified five historical periods in university growth: the emergence of the medieval universities and their spread in the feudal order, the demands posed to universities by nation-states and the Enlightenment during the early modern period, the impact of the political and industrial revolutions, and the crisis of mass higher education since 1918. This chapter adds a sixth digital technologies: the role of artificial intelligence and cloud applications. Knowing and reflecting on the history of higher education is essential. Why universities emerged in societies and how they spread globally is relevant to understanding contemporary challenges facing higher education. To this end, the first locations, purposes, organizational structures, and legal frameworks are discussed.
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Introduction

Higher education covers a broad range of higher learning institutions such as universities, polytechnics, colleges of education, and grandes école (Alemu, 2018) with differing missions, goals, functions, the requisite qualification of the faculty, the criteria for admission of students, the duration of programs they offer, and the type of certification they award (Assié-Lumumba, 2005). This list of institutional distinctions is critical to any consideration of university development and growth as history attests that higher learning institutions were first established in Asia, Africa, China, India, South America, and the Arab world prior to the development of the European university. However, the general perception is that universities are a European social innovation, as it is only in medieval Europe that a recognizable higher institution emerged (Perkin, 2007).

Despite the fact that, the ancient civilizations of China, India, South America, and South Asia have a long history of advanced education it is argued by historians that the Confucian schools for the Mandarin bureaucracy of imperial China, the Hindu gurukalas and Buddhist vihares for the priests and monks of medieval India, the madrasahs for the mullahs and Koranic judges of Islam, the Aztec and Inca temple schools for the priestly astronomers of pre-Columbian America and the Tokugawa han schools for Japanese samurai all taught externally directed and imposed curriculum content with little opportunity for question or debate (Perkin, 2007, p. 6). Nevertheless, these higher learning institutions, while not called “universities,” served their society as higher learning institutions (Alemu, 2018) (see Table 1).

Table 1.
Ancient civilizations and higher learning institutions
CivilizationHigher Learning InstitutionMission/Students Served
ChinaConfucian SchoolsMandarin Bureaucracy
IndiaHurukalasPriests & Monks
ViharesPriests & Monks
Arab WorldMadrasahsMullahs & Koranic Judges
Pre-Columbian AmericaAztec & Inca Temple SchoolsPriestly Astronomers
JapanTokugawa Han SchoolsSamurai

Key Terms in this Chapter

Autonomy: Implies self-government and refers to the quality or state of being independent, accessible, and self-directed.

University Autonomy: Allows institutions to set, collegially and free from external interference, their objectives and missions, content and methods of instruction, evaluation criteria, admission, and graduation requirements, research agendas, appointments, promotion and tenure, etc.

Heteronomous Model: Following Weber, an institution can be considered heteronomous when its mission, agenda, and outcomes are defined more by external controls and impositions than by internal governing bodies.

Heteronomous University: Is increasingly unable to proactively design its programs and whose success derives from its effective and rapid response to external demands.

Artificial Intelligence: Computer systems designed to interact with the world through visual perception, speech recognition, and intelligent behaviors that characterize human behavior.

Convergence: This does not mean that all higher education systems are the same but that they are increasingly governed by similar pressures, procedures, and organizational patterns.

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