Didaktische Überarbeitung betrieblicher Schulungen

In dieser Masterarbeit wird untersucht, inwieweit didaktische Theorien und Modelle in der Praxis an firmeninternen Schulungsunterlagen anwendbar sind, wie der Lernprozess durch Blended Learning bzw. E-Learning unterstützt und verändert wird und welche (neuen) Medien dafür eingesetzt werden sollen. Um das herauszufinden werden die Unterlagen der betrieblichen Sicherheitsschulungen der Firma Sandoz GmbH in Kundl (Tirol) überarbeitet und in einem ersten Schritt didaktisch aufbereitet. Es wird versucht, ein Konzept dazu zu erstellen, wie die Schulungsunterlagen aufgebaut und die Schulungen abgehalten werden sollten, um bestmögliche Lerneffekte und ein noch größeres Sicherheitsbewusstsein der Mitarbeiterinnen und Mitarbeiter zu erzielen. Hierbei wird das Augenmerk nicht nur auf die Verbesserung der Unterlagen gelegt, sondern auch auf die Unterstützung und Optimierung des gesamten Lernprozesses, beginnend mit der Bereitstellung der Unterlagen bis hin zur Überprüfung der Lerninhalte. Daher wird auch untersucht, welche (neuen) Medien verwendet werden sollen, damit der Lernprozess effizienter gestaltet werden kann. Um einen Überblick zu erhalten, wird gemeinsam mit den Verantwortlichen des Bereiches HSE (Health – Safety – Environment) eine genaue Analyse der bereits vorhandenen Unterlagen durchgeführt, bei der ein Katalog mit verbesserungsfähigen Aspekten erstellt werden soll. Dieser ist einerseits die Grundlage der anschließenden Auswahl von didaktischen Modellen und Konzepten, mit Hilfe derer die Unterlagen verbessert werden können, und andererseits der Entscheidung über einen sinnvollen Einsatz von Blended Learning bzw. E-Learning. Das Ergebnis dieser Arbeit soll zum Ziel haben, eine Beurteilung vornehmen zu können, ob die Anwendung didaktischer Modelle sich im Berufsalltag als effizient erweist und inwieweit der Lernprozess durch diese Modelle und die Einbindung (neuer) Medien unterstützt wird. Dies wird auch aus dem Blickwinkel des Lernenden – also aus Sicht der Mitarbeiterinnen und Mitarbeiter – beleuchtet.This master thesis examines the practical adaptability of instructional design models and theories and the impact of blended learning and e-learning on company-intern training material. Furthermore, the application of new media for vocational training will also be discussed. In this particular context the thesis focuses on training material of the safety training at the company Sandoz GmbH in Kundl (Tirol). The result should be a holistic concept stating a blueprint on how to structure training material to rise best possible the learning effect and the awareness of safety among the employees. The focus is not only on improving the material but also on supporting and optimizing the whole learning process starting at the provision of the records and ending with a validation of the learning effects. This also includes an examination of which (new) media should be used for organizing the learning process more efficiently. To get an overview there will be an exact analysis of the existing training material together with those who are in charge of the safety training (HSE department) in the company which will help to identify improvable aspects. On the one hand those aspects are taken as a basis for selecting instructional design models and concepts to improve the material, and on the other hand for the decision about a meaningful application of blended learning and e-learning. The results of this thesis should help to assess the efficiency of efficient instructional design models and theories in everyday working life and whether the learning process can be supported with those models and the involvement of (new) media. Especially the latter will also be commented from the employees’ points of view

From learning to e-learning: mining educational data. A novel, data-driven approach to evaluate individual differences in students’ interaction with learning technology

In recent years, learning technology has become a very important addition to the toolkit of instructors at any level of education and training. Not only offered as a substitute in distance education, but often complementing traditional delivery methods, e-learning is considered an important component of modern pedagogy. Particularly in the last decade, learning technology has seen a very rapid growth following the large-scale development and deployment of e-learning financed by both Governments and commercial enterprises. These turned e-learning into one of the most profitable sectors of the new century, especially in recession times when education and retraining have become even more important and a need to maximise resources is forced by the need for savings. Interestingly, however, evaluation of e-learning has been primarily based on the consideration of users’ satisfaction and usability metrics (i.e. system engineering perspective) or on the outcomes of learning (i.e. gains in grades/task performance). Both of these are too narrow to provide a reliable effect of the real impact of learning technology on the learning processes and lead to inconsistent findings. The key purpose of this thesis is to propose a novel, data-driven framework and methodology to understand the effect of e-learning by evaluating the utility and effectiveness of e-learning systems in the context of higher education, and specifically, in the teaching of psychology courses. The concept of learning is limited to its relevance for students’ learning in courses taught using a mixture of traditional methods and online tools tailored to enhance teaching. The scope of elearning is intended in a blended method of delivery of teaching. A large sample of over 2000 students taking psychology courses in year 1 and year 2 was considered over a span of 5 five years, also providing the scope for the analysis of some longitudinal sub-samples. The analysis is accomplished using a psychologically grounded approach to evaluation, partially informed by a cognitive/ behavioural perspective (online usage) and a differential perspective (measures of cognitive and learning styles). Relations between behaviours, styles and academic performance are also considered, giving an insight and a direct comparison with existing literature. The methodology adopted draws heavily from data mining techniques to provide a rich characterisation of students/users in this particular context from the combination of three types of metrics: cognitive and learning styles, online usage and academic performance. Four different instruments are used to characterise styles: ASSIST (Approaches to learning, Entwistle), CSI (Cognitive Styles Inventory, Allinson & Hayes), TSI (Thinking Styles Inventory and the mental self-government theory, Sternberg) and VICS-WA (Verbal/Imager and Wholistc/Analytic Cognitive style, Riding, Peterson) which were intentionally selected to provide a varied set of tools. Online usage, spanning over the entire academic year for each student, is analysed applying web usage mining (WUM) techniques and is observed through different layers of interpretation accounting for behaviours from the single clicks to a student’s intentions in a single session. Academic performance was collated from the students’ records giving an insight in the end-of-year grades, but also into specific coursework submissions during the whole academic year allowing for a temporal matching of online use and assessment. The varied metrics used and data mining techniques applied provide a novel evaluation framework based on a rich profile of the learner, which in turn offers a valuable alternative to regression methods as a mean to interpret relations between metrics. Patterns emerging from styles and the way online material is used over time, proved to be valuable in discriminating differences in academic performance and useful in this context to identify significant group differences in both usage and academic performance. As a result, the understanding of the relations between e-learning usage, styles and academic performance has important practical implications to enhance students’ learning experience, in the automation of learning systems and to inform policymakers of the effects of learning technology has from a user and learner-centred approach to learning and studying. The success of the application of data mining methods offers an excellent starting point to explore further a data-driven approach to evaluation, support informed design processes of e-learning and to deliver suitable interventions to ensure better learning outcomes and provide an efficient system for institutions and organization to maximise the impact of learning technology for teaching and training

E-learning for Networked Living

Networked Living is a Level 1 course in Information and Communication Technologies (ICT) offered by the UK Open University. The first two presentation of the course, in 2005 and 2006, attracted over 3000 students between them. Networked Living introduces students to ICT concepts and issues in a range of contexts. The course adopts a blended learning approach, using printed texts, web resources, DVD and computer conferencing. All the above media are used where appropriate to support students' learning. About 60% of the material is print-based – teaching texts, together with selected third-party articles. About 20% is web-based – using a comprehensive course web site, but also requiring students to find and use third-party sites. The remaining 20% is based on offline computer resources (e.g. spreadsheets) and collaborative activities using computer conferencing. The course web site contains short animations, quizzes and several interactive activities where students contribute information and commentaries, and can then see the collated contributions of other students. The DVD contains longer animations, simulations and software. Computer conferencing is used for tutor-group and whole-cohort conferences, and for online tutorials, with both asynchronous and synchronous discussion. The course web site provides a new, shareable 'online journal' facility, where students can record their work for the course. This paper discusses the various e-learning elements of Networked Living, based on the first two presentations of the course. The paper considers how e-learning can be combined with printed resources to create a successful blended learning experience for students

A systematic review of the factors - enablers and barriers - affecting e-learning in health sciences education

Background: Recently, much attention has been given to e-learning in higher education as it provides better access to learning resources online, utilising technology – regardless of learners’ geographical locations and timescale – to enhance learning. It has now become part of the mainstream in education in the health sciences, including medical, dental, public health, nursing, and other allied health professionals. Despite growing evidence claiming that e-learning is as effective as traditional means of learning, there is very limited evidence available about what works, and when and how e-learning enhances teaching and learning. This systematic review aimed to identify and synthesise the factors – enablers and barriers – affecting e-learning in health sciences education (el-HSE) that have been reported in the medical literature. Methods: A systemic review of articles published on e-learning in health sciences education (el-HSE) was performed in MEDLINE, EMBASE, Allied & Complementary Medicine, DH-DATA, PsycINFO, CINAHL, and Global Health, from 1980 through 2019, using ‘Textword’ and ‘Thesaurus’ search terms. All original articles fulfilling the following criteria were included: (1) e-learning was implemented in health sciences education, and (2) the investigation of the factors – enablers and barriers – about el-HSE related to learning performance or outcomes. Following the PRISMA guidelines, both relevant published and unpublished papers were searched. Data were extracted and quality appraised using QualSyst tools, and synthesised performing thematic analysis. Results: Out of 985 records identified, a total of 162 citations were screened, of which 57 were found to be of relevance to this study. The primary evidence base comprises 24 papers, with two broad categories identified, enablers and barriers, under eight separate themes: facilitate learning; learning in practice; systematic approach to learning; integration of e-learning into curricula; poor motivation and expectation; resource-intensive; not suitable for all disciplines or contents, and lack of IT skills. Conclusions: This study has identified the factors which impact on e-learning: interaction and collaboration between learners and facilitators; considering learners’ motivation and expectations; utilising user-friendly technology; and putting learners at the centre of pedagogy. There is significant scope for better understanding of the issues related to enablers and facilitators associated with e-learning, and developing appropriate policies and initiatives to establish when, how and where they fit best, creating a broader framework for making e-learning effective

Sustainable eLearning in a Changing Landscape: A Scoping Study (SeLScope)

The report begins by exploring the concept of sustainable e-learning - defining it and establishing its characteristics in the context of Higher Education. To ensure a sound and systematic process, the review is informed by a five-phase methodological framework for scoping reviews by Arksey and O'Malley (2005). Examples and perspectives on the concept of sustainable e-learning are summarised and key factors impacting on sustainability are abstracted. highlights potential gaps and suggests directions for further research on the topic

What influences student participation in asynchronous online discussions

Asynchronous online discussions are widely used in online and blended learning courses. Participation by adult learners can be encouraged by the contributions of teachers, and when online groups are given well-structured tasks that are assessed. The introduction of such discussions to a pre-existing short course in mentorship for qualified health care professionals offered an opportunity to compare participation by different groups studying concurrently. This was done by counting numbers of student contributions to twenty-four different online groups, regardless of length or content. This showed that the contribution of teachers was not an important factor in influencing student participation, though individual students who contributed prolifically tended to encourage their fellow group members to contribute more. These results may not be generalizable: the course was short, the discussions focused on a well-structured and assessed task, and the learners were mature

Artificial Intelligence And Big Data Technologies To Close The Achievement Gap.

We observe achievement gaps even in rich western countries, such as the UK, which in principle have the resources as well as the social and technical infrastructure to provide a better deal for all learners. The reasons for such gaps are complex and include the social and material poverty of some learners with their resulting other deficits, as well as failure by government to allocate sufficient resources to remedy the situation. On the supply side of the equation, a single teacher or university lecturer, even helped by a classroom assistant or tutorial assistant, cannot give each learner the kind of one-to-one attention that would really help to boost both their motivation and their attainment in ways that might mitigate the achievement gap. In this chapter Benedict du Boulay, Alexandra Poulovassilis, Wayne Holmes, and Manolis Mavrikis argue that we now have the technologies to assist both educators and learners, most commonly in science, technology, engineering and mathematics subjects (STEM), at least some of the time. We present case studies from the fields of Artificial Intelligence in Education (AIED) and Big Data. We look at how they can be used to provide personalised support for students and demonstrate that they are not designed to replace the teacher. In addition, we also describe tools for teachers to increase their awareness and, ultimately, free up time for them to provide nuanced, individualised support even in large cohorts