Скачать или смотреть 100mentors Roundtable #1: Measuring Mentoring & Soft Skills

AI that frees up time for humans
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The entire Roundtable #1 and Q&A, in one video.
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At 100mentors, we democratise opportunity through our mentoring technology.

We’ve identified three core problems, towards accomplishing our mission, when discussing mentoring programs with the world’s top organizations
Scale
Measure learning outcomes
Develop skills and prove it
Every month we select one of the above problems to discuss with global thought leaders in mentoring, and our stakeholders at 100mentors, e.g.partner organizations, universities, and companies that run mentorship programs, EdTech investors, and our technologists.

For this Roundtable our focus is measurability.

The problem: Although it is the most powerful & longest-lasting concept in learning – mentoring – even today, it’s still considered a luxury. Typically a “luxury” is anything that makes us feel good when doing it but we can’t measure its instant & tangible benefits like in art, when having a meaningful conversation, or anything that makes us connect deeper with others and ourselves.

Particularly, although organisations are good at measuring Output/Engagement metrics (e.g. # of participants, # of mentoring hours), they struggle to measure Learning Outcomes (e.g. skills development/progress).

In this Roundtable discussion we brought together Machine Learning and Natural Language Processing experts along with our Inquiry-Based Learning researcher, to share our approach on measuring mentoring and extend the dialogue to our stakeholders, and all of you.

Our Mentoring Measurability function is based on the automation of evaluating questions, a project with a family of features already in place, or scheduled to be released over the next months.

The Question Evaluation presentation will be held by:

1. Haris Papageorgiou, Director of Language Processing and Machine Learning, Athena Research Lab.

Haris will go through what we have already built as far as how the text of the questions is processed and how the algorithm a) evaluates every transcribed question and b) assigns a score based on our three inquiry criteria.

2. Yannis Vlassopoulos, Researcher in unsupervised language models & tensor networks.

Yiannis will explain the equation and the different weights on variables for the calculation of the score assigned to every question on the 100mentors app. He will also address a brief list of language processing challenges/questions.

3. Pepy Meli, Head of Research, 100mentors.

Pepy will cover the learning theory and research behind setting the scoring criteria for Relevance, Feasibility, Learning Potential. Also, she will discuss how we assess the inquiry skill progress of our learners and how this connects with how we measure mentoring and the development of three soft skills.

4. Miltiadis Zeibekis, CTO, 100mentors.

Miltos will share the roadmap for the gradual integration of the automated scoring mechanism, how this reflects into User Experience. He will also share what features are already available and tentative release dates for the upcoming ones.

5. Yiorgos Nikoletakis, CEO, 100mentors.

Yiorgos discusses use-cases and what’s next in the mentoring industry, as far as Measurability, Scalability and Skills’ Assessment and Development goes.

This Roundtable is the first of a series that tackles the 3 mentoring problems.
Roundtable #2 is on January 2022 and will tackle the Scalability problem.
Companies and organisations with the top mentoring programs worldwide have already confirmed their participation. Please send us at [email protected] should you like to attend.

We are on this mission together with hundreds of educators, L&D, HR experts from the corporate world and academia who work to empower everyone, even the less sophisticated learners, to enjoy and easily realise the return on their mentoring investment.