About this Research Topic
This research aims to investigate how artificial intelligence (AI) can improve both formative and summative assessment practices in education and what shifts in pedagogy and assessment methodology are required to realize these improvements. The focus is on critically examining the transformative influence of AI on traditional assessment approaches, exploring how it can broaden and enhance the evaluation of learner abilities and knowledge. This entails thoroughly exploring AI's role in creating more dynamic, inclusive, and effective assessment strategies suitable for diverse learning environments. Additionally, the research will address the ethical implications and challenges associated with integrating AI into educational assessments, including issues of academic integrity and potential biases in AI algorithms. Particular attention will be given to developing AI tools that cater to the needs of differently-abled learners, thereby advancing accessibility in education. The goal is to provide actionable insights and recommendations for educators and policymakers in higher education to harness AI's potential in formative and summative assessments, ultimately leading to a significant shift in educational practices, and thus a more adaptive, fair, and comprehensive evaluation system.
The proposed research topic aims to delve into the dynamic landscape of educational evaluation in the context of the rapidly evolving field of Artificial Intelligence (AI). As AI technologies continue to permeate various aspects of education, understanding their impact on evaluation practices becomes crucial for ensuring effective and meaningful assessments. In line with this, the following themes are envisioned:
- Enhancement of assessment practices;
- Dynamic and inclusive assessment strategies;
- Ethical implications and challenges;
- Best practices: Actionable insights and recommendations.
The proposed research topic aims to encapsulate the following types of contributions:
- Technical;
- Case studies;
- Conceptual;
- Ethical;
- Meta-analyses;
- Systematic reviews.
Keywords: Artificial Intelligence, Educational Assessment, Ethical Considerations in AI, AI in Learning Analytics, Teaching Methodologies and AI, Opportunities in AI Evaluation, Challenges in AI Assessment, AI and Academic Integrity, AI's Role in Student Evaluation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.