Mentoring & E-Learning – Dear online course providers, we need to talk…

Directory

  • What makes a good mentor?
  • What makes for sustainable e-learning?
  • Infographic: What is the difference between a mentor and a teacher?
  • More successful e-learning thanks to mentoring
  • E-learning in a company – mentoring as a personnel development tool
  • Mentoring at StackFuel
  • Conclusion

The completion rate for many online courses is sometimes only 5 percent.* Yet there are clear measures training providers can take to increase the completion rate of their participants to more than 80 percent. One crucial factor in particular separates the wheat from the chaff in the online course market: personal mentoring.

Online courses offer many advantages. They combine knowledge transfer with the concept of self-determined learning, independent of time and location, as well as being scalable. Digital learning has taken hold in most companies and private households, at the latest during the COVID-19 pandemic. Despite, or perhaps because of, this proliferation, differences in the quality of online courses are becoming increasingly apparent among the vast array of providers. In this post, we’ll discuss how mentoring can ensure your learning success.

What makes a good mentor? Why are mentors needed in Data Science online courses and how can you recognize a good mentor?

What makes for sustainable e-learning?

The last decade was dominated by on-demand. Whether it was cars, cleaning staff or streaming services, new services developed for many areas of life, enabling us to use services and products while remaining largely unattached.

In addition to Netflix and similar services, numerous online learning platforms sprang up and revolutionized what was until then a very traditional education sector with its face-to-face seminars through maximum flexibility, independence and a rapidly growing selection of learning content from all conceivable areas of expertise and life. This rapid growth in the market was soon followed by oversaturation and a confusing range of courses and providers.

But why do only 5% of all learners actually complete an online course? The biggest factor in ineffective e-learning is a static learning environment. Nowadays, exclusively frontal teaching without interaction no longer adequately supports sustainable learning success and therefore poses new challenges for many providers and customers. Online course providers are experiencing higher and higher bounce rates in the battle for the undivided attention of their participants and keep customers looking for the next promising learning experience. This is where mentoring becomes a gamechanger for both sides and a way to keep learners engaged.

Infographic - what is the difference between teachers and mentors? Here's why both are important for online courses.

 

*According to information from Research Gate (2018) “Attributes of Good E-learning Mentors According to Learners

Better e-learning through mentoring

E-learning has reformed the way we learn today and how we access knowledge. It’s with good reason that entire corporations are relying on external solution providers for online courses for their learning and development, offering their own Learning Management System (LMS) and learning materials from experts. Whether participants are then left alone with these materials and the information or are supported by experienced mentor is a make-or-break criterion. A mentor can supplement generalized learning instruction by addressing specific individual needs, clarifying ambiguities, and motivating learners to complete the course.

It is also important that learners who are using virtual learning environments are provided support in using them, as well as if they remain inactive for a longer period of time without completing the course. This is where mentors can step in and offer assistance with challenges and comprehension issues that are insurmountable for the learners.

The added value of human interaction and dialogue in knowledge transfer should not be underestimated. Even when learning materials are prepared and always available, learners often need assistance during a course to fully internalize concepts and their practical application. A lack of or an immature mentoring approach can have a negative impact not only on the effectiveness of the course, but on the success of the training program as a whole. Mentoring remains a personal service that focuses on the needs and challenges of participants to ensure learning success.

E-learning in a company – mentoring as a personnel development tool

Many companies are spoilt for choice when it comes to outsourcing their training programs but still have to operate within tight constraints, such as compliance with training budgets, the quality of the training environment, the competence of the provider or even language requirements. The way employees want to train and learn has fundamentally changed in recent years, and it has had to. In a world where technologies and business models are constantly evolving, so must employees in order to stay up to date and expand the skills their jobs require. Continuous learning has become a must-have for companies and employees.

In particular, L&D departments, which are guiding employee competencies in the digital transformation, should look to e-learning partners to supplement their learning content with mentoring from qualified experts. E-learning will then indeed become a major advancement in L&D innovation.

Mentoring at StackFuel

Data Science and Mentoring. Do these two things go together? We believe so and have placed comprehensive mentoring at the core of every training course program at StackFuel. StackFuel’s completion rates are consistently above 90 percent, and that’s thanks to a deliberate focus on personal mentoring and motivational learning management.

StackFuel’s mentoring helps prepare you for the demands of a real data job, prepare you for real-world business scenarios, and help you build a promising career. All our mentors are data science experts with years of experience in the industry who will guide you interactively, throughout your learning cycle, and help with your questions.

Your Data Science degree online at StackFuel. Explore our data science courses.

This is what mentoring in our online courses entails:

  • You’ll receive detailed onboarding, so you’re fully prepared to start your online data course.
  • In the kick-off session, you will begin your training with a clear curriculum and will be comprehensively introduced to the Data Lab – your learning environment.
  • The release of new learning content every week serves to structure your learning time within the course and ensures that you don’t overdo it.
  • You will receive support from our mentoring team at any time during business hours within 30 to 60 minutes for content-related, organizational and technical questions.
  • And you can access our support via forum, email and telephone at any time.
  • Personal feedback sessions help you to understand and manage your expectations for your personal progress.
  • Our support services will assist you depending on your training level.
  • You will receive an invitation to join the StackFuel community to exchange ideas with other participants and alumni.
  • If necessary, we will grant you a course extension if you need longer than our curriculum allows.

In our Data Scientist and Data Analyst courses you will also receive:

– Optional phone interviews to clarify open questions

– A live kick-off webinar to start the course with your learning group of 10 to 15 learners

Weekly live webinars with your learning group

Face-to-face final project meetings

Complete cost funding of the course with an education voucher from the employment agency or the job center.

Conclusion

At StackFuel, your learning success is teamwork. There are many ways to improve completion rates in online courses. Mentoring by experienced experts is indispensable, especially for topics that require a lot of practice, such as training to become a data scientist. Whether a course is successfully completed by its participants has a lot to do with how the course is presented and how the learning process is accompanied. To maximize your likelihood of learning success, you shouldn’t just check the course content, but also what other measures an online course provider offers.

Want to know why StackFuel’s participants have such high completion rates? We’ll tell you on our Why StackFuel page.

For articles, interviews, and more free content on data science, data management, and training courses with an education voucher, follow StackFuel on Facebook, Instagram, LinkedIn, and XING.

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Laura Redlich
Laura Redlich
As an authentic Berlin girl, Laura quickly joined the creative scene. After completing her bachelor's degree in media and communications management at the Mediadesign - University of Applied Sciences, Laura worked part-time as a booker in film and later as a production assistant. She started in marketing at MyToys’ email marketing department. Most recently, Laura lead the content marketing at IQPC and got a taste of Big Data and AI. In her private life, she is passionate about sustainable and mindful living - whether it's vegan food, meditation or yoga – Laura is always keen on trying out new things to develop herself.

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Über StackFuel

StackFuel ist Deutschland führender Anbieter für zertifizierte Online-Weiterbildungen und -Umschulungen in Data Literacy, Data Science und KI. Zur Bewältigung der digitalen Transformation und der bevorstehenden Qualifikationslücke im Bereich Daten und KI unterstützt StackFuel Unternehmen, Mitarbeitende effektiv und effizient in zukünftige Jobrollen weiterzuentwickeln. Die innovativen Online-Trainings bieten Teilnehmenden eine moderne und flexible Lernerfahrung mit einer interaktiven und Cloud-basierten Lernumgebung, in der sie mit Industriedatensätzen selbstständig Algorithmen entwickeln.

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