Project work for a large class - Authentic assessment
DOI:
https://doi.org/10.52041/iase25.115Abstract
Improving graduate employability is increasingly essential due to evolving industry demands. Through experiencing the data investigative workflow comprising framing research questions, implementing data analysis and communicating results, students develop key employability skills such as organisational and time management skills. Large statistics classes pose challenges for fostering engagement and assessing practical skills authentically. This paper presents a scalable approach using authentic data for a project assessment that enables students to make decisions for their data investigative workflow. Examples of student work indicate that project-based assessment deepens understanding and strengthens connections between theory and professional practice. These experiences help build critical thinking and communication skills which are vital for today’s job market. The paper concludes with implications for assessment design and acknowledges current limitations, offering a roadmap for educators aiming to bridge classroom learning and employability through authentic experiences.References
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