LEARNER 2023
workshop - CFP flyer
International Conference on Evaluation and Assessment in Software Engineering 2023
16th June
Oulu, Finland
Aim
The LEARNER (evaLuation and assEssment in softwARe eNgineers' Education and tRaining) 2023 workshop aims to bring together researchers, educators, and trainers from both academia and industry to discuss and advance the state of the art on the evaluation and assessment of education and training of present and future software engineers. In other words, the goal of LEARNER is to assess and evaluate consolidated educational and training means to let present and future software engineers acquire the required soft and hard skills, as well as to experiment (and then assess and evaluate) novel educational and training means, including the use of any resource or technology for educational and training purposes of software engineers. LEARNER 2023 is also interested in evaluating and assessing both soft and hard skills required to software engineers, as well as engagement and retention (e.g., gender balance) in the education and training of software engineers.
The LEARNER (evaLuation and assEssment in softwARe eNgineers' Education and tRaining) 2023 workshop aims to bring together researchers, educators, and trainers from both academia and industry to discuss and advance the state of the art on the evaluation and assessment of education and training of present and future software engineers. In other words, the goal of LEARNER is to assess and evaluate consolidated educational and training means to let present and future software engineers acquire the required soft and hard skills, as well as to experiment (and then assess and evaluate) novel educational and training means, including the use of any resource or technology for educational and training purposes of software engineers. LEARNER 2023 is also interested in evaluating and assessing both soft and hard skills required to software engineers, as well as engagement and retention (e.g., gender balance) in the education and training of software engineers.
Scope
Studying Software Engineering and acquiring its related (hard and soft) skills open different job opportunities; for instance, software engineers can specialize as software testers, software architects, project managers etc. Besides these "traditional" job opportunities, there are emerging areas like, for instance, artificial intelligence and software security, which offer new job opportunities for software engineers. However, Software Engineering is not easy to teach and learn, and it is not accessible to everyone; moreover, its related (hard and soft) skills are not easy to acquire. Understanding how to improve aspects related to learning, teaching, and accessibility of this discipline, including the acquisition of its related (hard and soft) skills, is of primary relevance to educators, trainers, and researchers, and even more to the labor maker, which demands an ever-increasing number of software engineers having a rich set of soft and hard skills. Gathering empirical evidence by using quantitative, qualitative, and mixed research is a necessary step to increase our body of knowledge in software engineers' education and training.
Studying Software Engineering and acquiring its related (hard and soft) skills open different job opportunities; for instance, software engineers can specialize as software testers, software architects, project managers etc. Besides these "traditional" job opportunities, there are emerging areas like, for instance, artificial intelligence and software security, which offer new job opportunities for software engineers. However, Software Engineering is not easy to teach and learn, and it is not accessible to everyone; moreover, its related (hard and soft) skills are not easy to acquire. Understanding how to improve aspects related to learning, teaching, and accessibility of this discipline, including the acquisition of its related (hard and soft) skills, is of primary relevance to educators, trainers, and researchers, and even more to the labor maker, which demands an ever-increasing number of software engineers having a rich set of soft and hard skills. Gathering empirical evidence by using quantitative, qualitative, and mixed research is a necessary step to increase our body of knowledge in software engineers' education and training.