Over the past few decades, education systems, especially in higher education, have been redefined. Such reforms inevitably require reconsideration of operational notions and definitions of quality, along with a number of related concepts. This reconsideration aligns with the core of higher education reforms: improving efficacy and compatibility with emerging social demands while adapting to competitiveness and accountability trends. As primary players in the teaching and learning process, online tutors have a protagonistic role and, therefore, must be equipped with a suitable set of competencies and attributes in addition to content knowledge. This quantitative research aims to analyze the perceptions of 250 online tutors working in European higher education institutions, distributed in 5 knowledge areas: Business, Education, Humanities, Sciences and Health. This descriptive and exploratory nonexperimental study reveals the technological and pedagogical skills and competencies that online tutors consider fundamental for effective online teaching and proposes professional development actions to ensure quality online teaching.
Studentassistenten verrichten verschillende soorten onder-wijstaken in het hoger onderwijs. Deze systematische literatuurstudiebracht het onderzoek in kaart naar hoe studentassistenten worden voor-bereid op hun inzet in het onderwijs, welke soorten onderwijs ze ver-zorgen en wat dit oplevert voor de studentassistenten en hun studenten.De studentassistenten werden vooral bij praktisch vaardigheidsonder-wijs en laboratoriumonderwijs in medische en scheikundige opleidingeningezet, en in mindere mate ook bij casusonderwijs en studievaardig-heden. Qua voorbereiding hadden ze het meeste baat bij een trainingwaar het verwachte gedrag voorgedaan wordt, waar ze kunnen oefenenen hier feedback op krijgen. Wanneer onderwijs door studentassisten-ten als aanvulling op het bestaande onderwijs wordt georganiseerd leidthet tot hogere studenttevredenheid en betere prestaties bij de studen-ten die dit aangeboden krijgen t.o.v. wie dit niet krijgt aangeboden. Deprestaties en tevredenheid van studenten die practica van studentas-sistenten versus docenten zijn vergelijkbaar. Bij de organisatie van stu-dentassistenten in het onderwijs kan geleerd worden van de twee stro-mingen die nu prevaleren: Supplementele Instructie (si-pass ) enPeerAssistedLearning(pal ). Centrale coördinatie van het opleiden van bege-leiders en studentassistenten, duidelijke complementaire functieprofie-len, inzet bij praktische vakken, en inbedding binnen de opleidingen opbasis van passende leeruitkomsten kunnen bijdragen aan duurzame bor-ging.Students perform various types of educational tasks in higher education as teaching assistants. This systematic literature review mapped out the research on how teaching assistants are prepared for their tasks,what types of instruction they provide, and what this yields for both teaching assistants and students. The teaching assistants were primarily deployed in practical skills education and laboratory education in medical and chemistry programs, and to a lesser extent also in case-based education and metacognitive education. In terms of preparation, they benefited most from training that demonstrates expected behaviour, provides opportunities for practice, and offers feedback. The deployment of teaching assistants in education, as a supplement to regular instruction, resulted in higher student satisfaction and better performance. Regarding practical sessions, students taught by teaching assistants did not perform differently or express less satisfaction than those taught by teachers. In organizing student assistants in education, lessons can be learned from the two prevailing approaches: SI-PASS and PAL. Both central coordination with clear complementary job profiles for student assistants or integration within programs based on appropriate learning outcomes can contribute to sustainable implementation.
This paper describes an agent-based software infrastructure for agile industrial production. This production is done on special devices called equiplets. A grid of these equiplets connected by a fast network is capable of producing a variety of different products in parallel. The multi-agent-based underlying systems uses two kinds of agents: an agent representing the product and an agent representing the equiplet.
MULTIFILE
