3 research outputs found

    Problems and solutions for using computer (networks) for education

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    Purpose - The idea to use computers for teaching and learning is over 50 years old. Numerous attempts to use computers for knowledge dissemination under a variety of names have failed in many cases, and have become successful in others. The essence of this paper can be summarized in two sentences. One, in some niches, applications tend to be successful. Second, attempts to fully eliminate humans from the educational process are bound to fail, yet if a large number of aspects is handled well, the role of teachers can indeed be much reduced. The paper aims to discuss these issues. Design/methodology/approach - Report on experimental results. Findings - In some niches, applications of e-Learning technology tend to be successful. However, attempts to fully eliminate humans from the educational process are bound to fail, yet if a large number of aspects is handled well, the role of teachers can indeed be much reduced. Research limitations/implications - A number of features that seemed essential in earlier e-Learning systems turn out to be superfluous. Practical implications - New e-Learning systems have to concentrate on quality of content, not complex technology. Social implications - E-Learning the right way helps learners, teachers and institutions. Originality/value - Experiments reported verify or do the opposite of often loosely stated opinions

    The model of e-learning systems used for the improvement of students’ cognitive achievements

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    U današnje vreme sve više obrazovnih institucija kao što su fakulteti koji nude e-obrazovanje. U nekim slučajevima učenje na daljinu je ukombinovano sa tradicionalnim oblicima učenja, dok se u drugim ono odvija u potpunosti samostalno putem internata. U svakom slučaju da bi učenje na daljinu moglo da se realizuje i da bi njime moglo da se upravlja potrebno je da postoji posebno okruženje u kom će se ono organizovati. U većini slučajeva Sistemi za obrazovanje na daljinu – (Learning management system – LMS) obavljaju ovaj zadatak. LMS obezbeđuje raznovrsne alate za podršku profesorima u kreiranju, administriraju i upravljanju online kursevima. S druge strane oni uglavnom ne uzimaju u obzir individualne razlike studenata i tretiraju sve studente na isti način bez obzira na njihove lične potrebe i karakteristike. U našoj literaturi ne postoji puno radova koji se bave temom adaptivnog elektronskog obrazovanja, naročito ne sa aspekta izrade i implementacije modela adaptivnog elektronskog obrazovanja. Predmet ove doktorske disertacije je implementacija sistema za elektronsko obrazovanje koji je kreiran po modelu adaptivnog elektronskog obrazovanja i koji obezbeđuje za isto vreme veće neposredno znanje korisnika i pozitivno utiče na trajnost znanja, nego standardni neadaptivni sistem za elektronsko obrazovanje. U radu su kombinovane prednosti LMS-a sa adaptivnim sistemima i na taj način je proširena funkcija LMS-a tako što su integrisani stilovi učenja i obezbeđena je adaptivnost sistema. Adaptivni model elektronskog obrazovanja koji je razvijen u radu je implementiran i procenjivan korišćenjem Moodle sistema. Ova doktorska disertacija imala je za cilj da na osnovu kreiranja, implementacije i korišćenja modela adaptivnog elektronskog obrazovanja ukaže na statistički značajnu mogućnost podizanja sveobuhvatnog nivoa i kvaliteta obrazovnog procesa.Nowadays the majority of universities offer e-learning to their students. Sometimes distance learning is combined with traditional education, while in other cases it functions on its own by using the Internet. However, distance learning requires special surroundings where it can be organized. Learning management systems – LMSs are used in most of the cases for distance learning. LMS provides professors with various tools for creation, administration, and management of online courses. On the other hand, LMSs don’t usually consider individual differences of students and treat all students in the same way, disregarding their personal needs and characteristics. In our literature, there are very few studies that analyze adaptive e-learning systems, especially the creation and implementation of adaptive e-learning models. The goal of this doctoral thesis has been creation and implementation of an adaptive model of the e-learning system which provides students with wider knowledge that lasts a longer period of time comparing to the knowledge acquired with standard (non-adaptive) systems of e-learning. The thesis has expanded the function of LMS by combining LMS with adaptive systems and incorporating students’ learning styles into it. The adaptive model that is developed in the thesis has been implemented and evaluated by using Moodle system. The aim of the doctoral thesis has been to point out at statistically significant probability of improving the level and quality of the educational process by creating, implementing and using the adaptive model of e-learning

    K-State graduate catalog, 1997-1999

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    Course catalogs were published under the following titles: Catalogue of the officers and students of the Kansas State Agricultural College, with a brief history of the institution, 1st (1863/4); Annual catalogue of the officers and students of the Kansas State Agricultural College for, 2nd (1864/5)-4th (1868/9); Catalogue of the officers and students of the Kansas State Agricultural College for the year, 1869-1871/2; Hand-book of the Kansas State Agricultural College, Manhattan, Kansas, 1873/4; Biennial catalogue of the Kansas State Agricultural College, Manhattan, Kansas, calendar years, 1875/77; Catalogue of the State Agricultural College of Kansas, 1877/80-1896/97; Annual catalogue of the officers, students and graduates of the Kansas State Agricultural College, Manhattan, 35th (1897/98)-46th (1908/09); Catalogue, 47th (1909/10)-67th (1929/30); Complete catalogue number, 68th (1930/31)-81st (1943/1944); Catalogue, 1945/1946-1948/1949?; General catalogue, 1949/1950?-1958/1960; General catalog, 1960/1962-1990/1992. Course catalogs then split into undergraduate and graduate catalogs respectively: K-State undergraduate catalog, 1992/1994- ; K-State graduate catalog, 1993/1995-Citation: Kansas State University. (1997). K-State graduate catalog, 1997-1999. Manhattan, KS: Kansas State University.Call number: LD2668.A11711 K78
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