| Valerie SHUTE, Roy LEVY, Ryan BAKER, Diego ZAPATA, and Joseph BECK
The paper "Assessment and Learning in Intelligent Educational Systems: A Peek into the Future" by Valerie Shute, Roy Levy, Ryan Baker, Diego Zapata, and Joseph Beck explores the future of education in a highly technological and globally competitive world. The authors argue that current educational systems are not keeping pace with the changing demands of the 21st century, which require students to develop a different set of competencies. They envision a future where learning and teaching are enhanced through stimulating online environments such as games and simulations, coupled with an assessment infrastructure that covers a broad set of competencies and attributes to support learning.
Key themes of their vision include:
1. **Comprehensive Models**: Developing well-mapped landscapes of traditional and emerging competencies and personal attributes, with research on identifying, modeling, and assessing these attributes.
2. **Seamless and Ubiquitous Assessment**: Integrating assessment and learning seamlessly, removing the boundaries between teaching and testing, and making assessments continuous and invisible to students.
3. **Assessment Information for Decision Making**: Providing assessment information in meaningful forms to various stakeholders, including students, parents, teachers, administrators, policymakers, and researchers, to enable informed decisions.
The authors highlight the benefits of this approach, such as reducing the time spent on assessment activities, promoting long-term retention and transfer of knowledge, and aligning educational practices with the needs of the 21st century. They also discuss challenges and barriers, including the need for generalizable educational models, stakeholder engagement, interoperability of educational content, privacy concerns, and the development of adaptive technologies.
In conclusion, the paper calls for critical research and development in understanding the full range of characteristics that influence learning, fusing assessment and learning, and making assessments useful to all stakeholders.The paper "Assessment and Learning in Intelligent Educational Systems: A Peek into the Future" by Valerie Shute, Roy Levy, Ryan Baker, Diego Zapata, and Joseph Beck explores the future of education in a highly technological and globally competitive world. The authors argue that current educational systems are not keeping pace with the changing demands of the 21st century, which require students to develop a different set of competencies. They envision a future where learning and teaching are enhanced through stimulating online environments such as games and simulations, coupled with an assessment infrastructure that covers a broad set of competencies and attributes to support learning.
Key themes of their vision include:
1. **Comprehensive Models**: Developing well-mapped landscapes of traditional and emerging competencies and personal attributes, with research on identifying, modeling, and assessing these attributes.
2. **Seamless and Ubiquitous Assessment**: Integrating assessment and learning seamlessly, removing the boundaries between teaching and testing, and making assessments continuous and invisible to students.
3. **Assessment Information for Decision Making**: Providing assessment information in meaningful forms to various stakeholders, including students, parents, teachers, administrators, policymakers, and researchers, to enable informed decisions.
The authors highlight the benefits of this approach, such as reducing the time spent on assessment activities, promoting long-term retention and transfer of knowledge, and aligning educational practices with the needs of the 21st century. They also discuss challenges and barriers, including the need for generalizable educational models, stakeholder engagement, interoperability of educational content, privacy concerns, and the development of adaptive technologies.
In conclusion, the paper calls for critical research and development in understanding the full range of characteristics that influence learning, fusing assessment and learning, and making assessments useful to all stakeholders.