As English as an Additional Language (EAL) programs adopt online platforms, assessments often trail in design quality. Simply porting paper tests to screens erodes reliability, validity, and equity. This interactive session introduces a digital mindset—a flexible, learner‑centred, problem‑solving stance that emphasizes intentional tool choice, data‑informed iteration, and practical constraints. Grounded in Social Constructivism, we frame assessment improvement as a socially mediated process in which knowledge is co‑constructed through dialogue, collaboration, and shared reflection. Participants will engage in spectrum positioning, scenario analysis, and group redesign tasks that model constructivist practices and foster collective sense‑making.
We begin with the “Digital Mindset Spectrum” to activate prior knowledge and surface diverse comfort levels. Short, realistic scenarios then highlight common pitfalls of adopting tools for speed rather than pedagogy, moving tests online without rethinking timing or formats, and misaligning external scores with local outcomes. Drawing on The Digital Mindset to clarify what it takes to thrive amid data, algorithms, and AI (Leonardi & Neeley, 2022), and Co‑Intelligence to position AI as a collaborative partner in assessment workflows (Mollick, 2024), we explore practical ways to enhance design while protecting integrity.
A concise framework organizes five essentials for digital placement assessment: reliability, validity, security, accessibility, and practicality. Using common Canadian university pain points, participants diagnose challenges in writing, listening, speaking, and reading placements, then propose possible improvements. Attendees will redesign a placement task for digital delivery to clarify instructions, reduce construct‑irrelevant difficulty, plan for accessibility, and add features such as adaptive logic, automated feedback, and test security.
We conclude with a five‑question decision tool that centres pedagogy, equity, actionable data, instructor workload, and program outcomes.
By the end, participants will:
- Define and apply a digital mindset in assessment design.
- Leverage AI as a co‑intelligent aid while maintaining standards.
- Implement one concrete, constructivist‑informed change to strengthen their assessments.
References
Leonardi, P. M., & Neeley, T. (2022).
