Tackling concerns about GPT3 in education
Ethical concerns about the use of GPT3 and other large language models are increasing, and educators are sounding the alarm about the impact of this technology on student essays, with worries ranging from attribution oversights to factual inaccuracies and bias in assignments:
⚠️ Bias, lack of adequate information or misinformation: Language models are trained on vast amounts of data, which may contain biases. They can also fail when it comes to giving the most recent information on a particular topic, and even generate information that sounds extremely convincing but is not at all true, leading to confusion and doubts among students.
⚠️ Lack of creativity and critical thinking: As Machine learning algorithms, GPT3 and other large language models can only reproduce text based on patterns in the data on which they've been trained. Text generated on large language models can thus not reflect much critical thinking. The other concern about the use of these models by students, is over time, relying too heavily on language models may reduce the role of human creativity and thought in the content creation process. This could negatively impact students' ability to think critically and creatively.
💡 Improvements in the products: The various organizations developing large language models have been actively working on reducing bias and improving the models' ability to provide accurate information. Adaptiv, as an organisation is committed to improving the quality of the text generated by large language models, and our team invests a significant amount of time and energy in training the models used to generate learning material.
💡 Role of the course creator: Despite wide-spread concerns that using large language models will lead to the gradual extinction of human course creators, their role will become more important, as the final editors of learning material. As experts on the topic with unique insights, creativity and critical thinking, educators can bring their own lens to the text generated by these models.
The course creation at Adaptiv goes through two levels of scrutiny first from the creator itself who publishes the course after reviewing it carefully, and then the thorough scrutiny of the moderation team. The end result is a high quality micro-course that has been published with greater ease, speed and efficiency than the traditional route. Check out our recent courses here.
If you are a subject-matter expert who has been wanting to publish their course, but hasn't had the time to do it, get in touch with us. Drop us a note on firstname.lastname@example.org and we'll see how we can help you publish your first micro-course with the assistance of our AI.