Here's how you can assess your strengths and weaknesses in Digital Learning for better career decisions.

Analysez vos compétences en utilisant des outils d'auto-évaluation numérique. Des plateformes comme Skillsoft ou Coursera proposent des tests pour mesurer vos compétences techniques et cognitives. Utilisez ces données pour identifier les domaines où vous excellez et ceux nécessitant une amélioration. Par exemple, si vous êtes performant dans les quiz interactifs mais moins à l’aise avec les projets pratiques, concentrez-vous sur des formations qui renforcent cette faiblesse. Comme le dit Reid Hoffman, cofondateur de LinkedIn, "L’apprentissage continu est la clé de la réussite dans le monde numérique en constante évolution." Identifiez, ajustez et progressez.

Irrespective of the sector/org you work for, being self aware about your strengths and weaknesses is very important. As I once read in Scaling Leadership, ask yourself "are you a creative or a reactive leader?" Leadership doesn't necessarily mean you need to lead a team or a project, but could be about self-leadership as well. Knowing yourself is key to managing your impulses and behaviours; it sets the stage for being effective in relationships and achieving your goals.

Identifiez les compétences spécifiques nécessaires pour votre carrière idéale. Si vous aspirez à être développeur web, par exemple, définissez des objectifs SMART tels que maîtriser HTML et CSS en trois mois. Utilisez des plateformes comme Udacity ou Codecademy pour structurer votre apprentissage. Comme le conseille Ash Maurya, auteur et entrepreneur, "Commencez petit, mais pensez grand." Des objectifs clairs vous guideront et vous permettront de mesurer vos progrès efficacement.

Sollicitez des retours constructifs de mentors et collègues pour évaluer vos compétences en apprentissage numérique. Des plateformes comme Coursera et Udacity offrent des analyses détaillées de vos performances. Suivez les conseils de Tristan Harris, cofondateur de Center for Humane Technology : "Les données vous montrent où vous pouvez vous améliorer." Intégrez ces retours pour affiner vos compétences et optimiser votre parcours d'apprentissage.

Learning while working at times can get challenging however it’s essential to sharpen the axe if we have to excel or even remain contextual at our workplace. Planning helps in minimising the derailment. One can plan 20- 30 mins minimum per week for thin-sliced learning that keeps the momentum going and builds the learning muscle. The best part about Digital Learning is you can do it anytime- anywhere and at your own pace.

Reflect on online courses you've successfully completed. Did the format (videos, readings, exercises) work for you in learning new topics? Did you enjoy self-paced learning or instructor-led interaction? Also consider what you found challenging in the past. Did you miss in-person interaction? Was time management difficult? Did you have trouble following the content? This self-reflection helps identify if digital learning aligns with your preferred learning style and career path flexibility needs.

Technology is a tool and not the main resource. The output depends on your input, even when using AI- that is something we humans tend to forget. With the amount of data available digitally, some of which may be incorrect or inappropriate, your own judgement in its validity needs consideration. For example, I have seen students create documents without considering the decision making skills they possess or lack, and trusting AI to do the job for them. Some decisions also require context, emotions, and reasoning which are human characteristics and are needed when making strategic decisions- watching Star Trek, a fictional series that’s based on future technology, works with humans still in control when making decisions…