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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Towards Digital Knowledge Transfer in Small and Medium-Sized Manufacturing Enterprises</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Michael Filipenko</string-name>
          <email>filipenko@isse.de</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alwin Hoffmann</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Heike Krebs</string-name>
          <email>heike.krebs@amu.uni-augsburg.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Robert Loew</string-name>
          <email>loew@dipf.de</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marietta Menner</string-name>
          <email>marietta.menner@amu.uni-augsburg.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Diana Pistoll</string-name>
          <email>diana.pistoll@medicalschool-hamburg.de</email>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Florian Priesmeier</string-name>
          <email>florian.priesmeier@eckert-schulen.de</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oliver Schneider</string-name>
          <email>o.schneider@dipf.de</email>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Augsburg University</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Eckert Schools</institution>
          ,
          <addr-line>Augsburg</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Institute for Software &amp; Systems Engineering (ISSE), Augsburg University</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Leibniz Institute for Research and Information in Education</institution>
          ,
          <addr-line>Frankfurt</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Medical School Hamburg</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <fpage>249</fpage>
      <lpage>256</lpage>
      <abstract>
        <p>This paper gives an insight into the project “Education 4.0 for SMEs”. Small and Medium-sized Enterprises (SME) in the hightechnology sector of lightweight-construction are implementing more and more digitization processes for their industrial settings. These processes strongly depend on internal knowledge transfer. We consult these SMEs to find out which kinds of digital learning technologies and pedagogical concepts are useful for their in-company education and training. Besides featuring well-known learning technologies such as wikis, videos and webinars, novel learning methods based on mixed-reality will be developed and tested.</p>
      </abstract>
      <kwd-group>
        <kwd>Knowledge Transfer</kwd>
        <kwd>Learning Technologies</kwd>
        <kwd>Education Tools and Methods</kwd>
        <kwd>SME</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>More and more branches of industry have started using lightweight construction
materials consisting of carbon fibre reinforced plastic (CFRP) over the last years.
Often referred to as “black gold”, carbon composites are known for their special
physical features, including being extremely light, and as such have gained
influence in industry as well as research. The specific composition of the material
makes an application in well-established areas of use (such as the sports sector,
construction of airplanes etc.) [3, p. 9] possible, as well as providing innovative
potential for a variety of products that are only at the start of market
penetration [7, p. 30]. Apart from the ongoing development of composites, digitization
2</p>
      <p>
        Project Education 4.0 for SMEs
is the second large challenge that composite companies are facing today,
especially Small and Medium-sized Enterprises (SME), that abound in the composite
sector. On the one hand, they need to implement digitization processes in their
industrial setting, the result of which is referred to as “Industry 4.0” [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] in
Germany. On the other hand, the challenge of digitization is closely connected with
meeting the customers’ needs for digitizing complete value-adding networks
typical of the composites branch. As production cycles become shorter and shorter
and technical innovations abound, plant construction and the development of
new machines have to comply with ambitious requirements aiming at both high
efficiency and flexibility.
      </p>
      <p>
        Employees have to keep abreast of these developments, but often lack the
necessary IT skills. According to a study by the Centre for European Economic
Research (ZEW) about “Digitization in medium-sized companies, its status quo,
recent developments and challenges” [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], only one in five companies has a
comprehensive digitization strategy. The largest obstacles are the lack of IT skills
(67%), reservations about data protection and data security (62%) as well as
high costs (59%).
      </p>
      <p>
        Thus, as Industry 4.0 projects are implemented, the staff need to aquire
different and new qualifications and skills (e.g., in specific software, IT
technologies, or machines), but also concerning skills in interdisciplinary cooperation. A
study by the German Economic Institute [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] shows that 85% of enterprises in
Germany invest in their employees’ further education and training. To this end,
enterprises offer classical ways of training like seminars, but increasingly also use
informal formats that allow their employees individual on-the-job training, be it
supported by digital media or in the form of information meetings. However, a
majority of employees does not feel well prepared for digitization, as 72% claim
to lack the time for further trainings on digitization issues and 59% say that
their employer does not offer any further training on said topic according to the
German Association for IT, Telecommunications and New Media [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ].
      </p>
      <p>This situation is the starting point of the project on “Education 4.0 for SMEs”.
It aims at finding out more about possible support of SMEs in their digitization
challenges in terms of knowledge transfer. In a high-technology sector such as
the composite sector, it is essential to collect a company’s knowledge of specific
software, IT technologies, or machines and to share this knowledge among its
employees. Hence, the main objective of the project is to research and develop
organizational and technical solutions to support SMEs in the composite
sector by introducing or improving digital knowledge transfer in order to prepare
them for the challenges of “Digitization” and “Industry 4.0”. To achieve this, we
are working with selected SMEs from the composite sector association Carbon
Composites e.V. (CCeV) which is also a project partner.</p>
      <p>This paper, after sketching the research question in section 2, outlines the
approach of the project, dividing it into an organizational and a technological
dimension (cf. Sect. 3). Due to the close connection of digital learning and
knowledge transfer, not only to the skills but also attitudes of the learners themselves,
it is paramount to include reflections on the motivational design relevant to the
project’s proceeding (cf. Sect. 4) before giving an outlook of the conclusion in
section 5.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Research Question</title>
      <p>
        SMEs within the lightweight construction sector mostly focus on developing their
production processes, but this development highly depends on their employees’
know-how. Demographic change, the lack of skilled workers and a growing
importance of knowledge-intensive ways of production as a consequence of the current
digitization process [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] even add to this dependency, besides knowledge
management, the project addresses (digital) training and education processes in SMEs,
which are often neither well defined nor efficient. Discussing these difficulties
with a group of SMEs, our project focuses on the following research question:
“How can SMEs be supported in digitization challenges through digital
knowledge transfer and learning offers so that they can integrate these digital learning
processes into their day-to-day work as easily as possible?”
      </p>
      <p>Based on this research question, we have defined three research interests,
which are sketched in the next three sections.
2.1</p>
      <p>Type of Training: General vs. Specific Knowledge
A first focus of our research interest lies on the type of training. Therefore, the
project aims at assessing which digital tools or strategies perform best within
certain contexts and for which types of knowledge. One context includes trainees
during their vocational training, which is based on a dual system in Germany.
This means that trainees attend vocational schools, where they are provided
with general knowledge about their future jobs. At the same time, they work in
a company, where they acquire more specific knowledge, e.g., containing company
specific information. This differentiation in general and specific knowledge can
be mirrored for other further education opportunities within the company.</p>
      <p>Thus, in a context of on-the-job training, for example, education media for
generic topics could be developed and shared with other companies, making
use of the network of composites companies we address during the term of our
project. Possible topics might be safety requirements, machine operation
descriptions, or – on a meta level – digital tools themselves as a support for digital
learning (see Sect. 3.2).
2.2</p>
      <p>Type of Trainee: From Consumers to Producers
A second part of our research question can be seen as addressing the role of the
learner, which goes hand in hand with certain learning strategies or methods.
While in the area of knowledge management it is common to self-document
know-how, it is unusual for employees to develop learning media. This might be
the case due to the lack of tools that can be used without special educational
skills. However, young people in vocational training today are used to producing
4</p>
      <p>Project Education 4.0 for SMEs
presentations, blogging, writing and commenting within social media and even
creating graphics and charts. Also a lot of people working in the training sector
of SMEs are used to develop simple kinds of learning materials like operational
sequence descriptions as text or graphics. All these people are able to describe
detailed facts in a face-to-face situation.</p>
      <p>So, why not use a camera to produce a video? It will not look like a
perfectly produced video with a professional speaker, special cuts, or be perfectly
illuminated. But it will fit perfectly in internal training scenarios; and
meanwhile smartphones provide adequate video quality. Moreover, using mixed
reality (MR) technology it is possible to record motion sequences and annotate
them with context-sensitive information in 3D. In this way, for example, an
operational sequence can be shown in 3D, e.g., how to set up a machine. Starting
from this sample of digital methods, the project will explore in which ways and
how effectively employees develop, use and react to which measures.
2.3</p>
      <p>Type of Devices: Office vs. Shop Floor Environments
A sustainable implementation of digital strategies of learning and knowledge
transfer in SMEs of the composite sector entails specific challenges. A
fundamental distinction between such companies and typical office workplaces is that
access to IT equipment is not granted in factory buildings. Especially in the
composite sector, dusts of composite material would destroy standard computer
equipment within a short period. Therefore we are discussing with SMEs within
our project-network how to support learners and media producers – on average
there are two PCs available for a whole manufacturing department (on the basis
of interviews with our project partner SMEs).</p>
      <p>Since media affinity of learners is important for deciding which kinds of media
should be offered, for example in an e-learning course, we want to develop a
study on the media affinity of employees in the composite sector. This study
should recommend which kind of media is efficient in which use case based on
demographic as well as social or cognitive factors, for example age, affiliation to
a specific department, or one’s level of experience.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Approach</title>
      <p>Based on the main objective of the “Education 4.0 for SME” project, i.e., to
support SMEs in their digital knowledge transfer, the project implements four
measures in close collaboration with the selected SMEs of the German composite
networks CCeV. This is shown in Fig. 1. These measures are evaluated and
bestpractices are condensed. Within the network, every SME shall have access to a
broad base of tools, best practices and support about digital knowledge transfer.
On a supraregional level synergies and cooperation structures between SMEs are
initiated.</p>
      <p>Starting with the determination of requirements within SMEs, individual
concepts and solutions for digital learning are developed. In order to provide
innovative solutions, the project also includes demonstrations of digital learning
technologies such as mixed reality scenarios, webinars or videos. Lastly, in
order to improve the implementation of specific tools and strategies, the project
supports the collaborating SMEs in this phase in line with demand. Exemplary
content will include safety instructions and the set up of machinery. Aiming at
sustainable solutions, the project focuses on helping enterprises develop and
implement digital knowledge transfer themselves. In concrete terms, SMEs should
be supported to integrate digital media into their own training and personnel
development strategies.</p>
      <p>By the close cooperation with individual SMEs, we aim at achieving some
general insight into possibilities and challenges of digital knowledge transfer in
a high-technology sector such as the composite sector. We expect that these
insights will have an organizational (cf. Sect. 3.1) as well as a technological
dimension (cf. Sect. 3.2).
3.1</p>
      <p>Organizational Dimension
On the organizational dimension, the topics of concrete learning modules
include specific solutions for requirements identified in a respective analysis, such
as digitization of existing strategies of knowledge transfer. Here, organizational
factors such as the structure of the company with respect to its different
departments and existing strategies of knowledge transfer are at the center of interest
in order to explore the effectiveness and sustainability of the chosen strategies.
This includes personal factors, such as gender, age, cultural background, or level
of experience. Through a mobile learning studio provided by our project, SMEs
6</p>
      <p>Project Education 4.0 for SMEs
can use required technical infrastructure within the company to develop and
evaluate different knowledge transfer and learning strategies. Moreover,
employees will be qualified to create their own learning modules based on their specific
knowledge and their point of view.
The project will feature a broad range of different digital learning and knowledge
management technologies. The SMEs are thus able to test and evaluate different
approaches. Moreover, it allows us to compare different technologies for the same
content. Thus, best practices can be developed for different categories of
content. In addition to well-known digital teaching-learning solutions (such as wikis,
podcasts, webinars or video conferencing), novel digital learning infrastructures
are used. A mixed-reality (MR) learning environment is being developed for this
purpose. This allows users to perform a learning module while interacting with
machines. In such a setting, context-sensitive information can be shown directly
where it is relevant (e.g., at a button or a lever). With this MR learning
environment, employees should be enabled to “record” their typical setup or operation
procedures for a machine. As a consequence, they digitize their machine-specific
knowledge and make it available to other, less experienced colleagues.
4</p>
    </sec>
    <sec id="sec-4">
      <title>Motivational Design</title>
      <p>To ensure the objective of achieving progress in embedding digital learning
methods into the manufacturing sector, a motivational design is conceptualized. This
design will serve the purpose of supporting the processes of self-regulation while
performing a learning action. The basis for creating the motivational design is
a hierarchic developmental model which consists of three extension levels (see
Fig. 2). This gradation does not only help to ensure the productivity of the
hereby developed learning system but also enables evaluation at an early stage.</p>
      <p>
        The Integrated Model of Learning and Action (German: Integriertes
Lernund Handlungsmodell; ILHM) [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] is used as the theoretical foundation of the
model as well as findings from the research of SensoMot (German: Sensorische
Erfassung von Motivationsindikatoren zur Steuerung adaptiver Lerninhalte). The
levels, more specifically the learning content and the single features, are being
developed considering the context of lightweight construction.
      </p>
      <p>
        The ILHM consists of a motivational phase, an intentional phase and an
action phase. All three phases contain several segments, for which oneself needs
to be in different affective states. Specific feedback processes, assuming they were
successful, will then help to keep a self-regulated learning motivation [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>The objective – to increase the motivational fit between the needs of the
learner and the digital educational offer – can be realized through the user’s
feedback processes which will allow an adaptation of the presented materials
and/or methods. For that purpose, the motivational needs will be integrated
into the motivational design, e. g. the need for deciding on a learning content
3.</p>
      <p>Adaptive
content and
reflexion feature</p>
      <p>2.</p>
      <p>Equivalent content and
feedback feature</p>
      <p>1.</p>
      <p>Basic content and fundamental auxiliary</p>
      <p>feature
and a strategy autonomously. It is important to consider the segmentation of
learning content, multiple learning strategies the user will have access to, as
well as accompanying feedback and auxiliary features. Based on the
motivational design, motivational indicators will be drawn to then be integrated into
the SensoMot project where physiological parameters will be identified and
collected. By creating those parameters, it will be possible to automatically match
a certain digital learning environment to the motivational needs of the learner.
Hence, through the individualization of the learning experience, the motivational
design should offer a more profound motivational approach, specifically a higher
learning efficiency, a linkage of learning contents and a transferability of those
contents, which will result in higher memory capacity for the learned content.</p>
      <p>The motivational design should also be applicable to the context of mixed
reality (MR), minimizing immersion and therefore decreasing the blocking of a
learning experience. Particularly in the manufacturing sector, introducing such
a design is of great importance in order to ensure the maximization of
successful learning in the context of machine- and target-oriented apprenticeship and
training.
5</p>
    </sec>
    <sec id="sec-5">
      <title>Conclusion</title>
      <p>In this paper, we presented the research question of the “Education 4.0 for SMEs”
project and introduced its approach. The SMEs we are targeting are from
hightechnology sectors – in our special case from the lightweight-construction sector.
In a high-technology sector, the employees’ knowledge of specific software,
technologies or machines are crucial for the success of a company. Hence, the main
objective of the project is to research and develop organizational and technical
solutions to support SMEs in the composite sector by introducing or improving
digital knowledge transfer. For this kind of knowledge, relevant employees must
be enabled to create digital learning modules in a few steps. Hence, employees
’</p>
      <p>Project Education 4.0 for SMEs
must be enabled to become producers as opposed to consumers of digital learning
solutions. To achieve this, we closely collaborate with selected SMEs from the
composite sector association CCeV on an organizational as well as on a
technological dimension. From the latter, we consider well-known digital teaching-learning
solutions and novel digital mixed-reality learning infrastructures.</p>
    </sec>
    <sec id="sec-6">
      <title>Acknowledgements</title>
      <p>The Project “Bildung 4.0 für KMU” (“Education 4.0 for small and medium-sized
manufacturing enterprises”, Grant number 01PA17014) is funded by the German
Federal Ministry of Education and Research and the European Social Fund for
Germany within the “Digital Media in Vocational Training” programme.</p>
    </sec>
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