The hottest Assessment Substack posts right now

And their main takeaways
Category
Top Education Topics
Recruiting Brainfood β€’ 1100 implied HN points β€’ 21 Jan 24
  1. Networking is crucial in the industry, meet people in-person to build connections.
  2. Enhancing your profile can give a competitive edge, consider participating in initiatives like Brainfood Tribune and Guest appearance on Brainfood Live.
  3. Performance is key, networking and profile building can complement performance in a positive cycle.
imperfect offerings β€’ 13 HN points β€’ 10 Apr 24
  1. The concept of 'artificial intelligence' has historically been used to define and value 'intelligence', leading to discriminatory practices in education and beyond.
  2. The term 'human intelligence' has been co-opted by the AI industry to alleviate concerns about job displacement, but in reality, it devalues certain types of work and people, especially those involving care and emotional labor.
  3. The comparison between artificial and human intelligence creates a double bind for students and workers, expecting them to conform to data-driven systems while also being 'more human', which can lead to confusion and anxiety.
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The Absent-Minded Professor β€’ 235 implied HN points β€’ 14 Jun 23
  1. Spend time building relationships and explaining AI tools instead of blocking or preventing students from using them.
  2. Focus on building trust with students rather than setting traps or relying solely on technology to prevent cheating.
  3. Consider re-evaluating assessments to ensure they align with learning objectives, especially if AI tools expose weaknesses.
The Radar β€’ 19 implied HN points β€’ 27 Dec 23
  1. Old ideas and worn-out concepts in talent management must be identified and discarded to allow for genuine progress.
  2. Binary labels like 'hard skills vs soft skills' and 'introvert vs extrovert' are misleading and can hinder accurate talent assessment.
  3. The concept of 'high potential candidate' often introduces bias and leads to poor decision-making, hindering talent development and organizational growth.
imperfect offerings β€’ 79 implied HN points β€’ 26 Jun 23
  1. Researchers, policy-makers, educators, and edtech activists are raising concerns about the use of GenAI in teaching and learning, highlighting issues such as inaccuracy, bias, and ethics.
  2. Balancing the opportunities and risks of GenAI is crucial, as technologies are designed for use and may present actual harms over time that are harder to research.
  3. Cutting through the hype surrounding GenAI, the real opportunities involve improving efficiency in textual production and providing natural language interfaces for accessing information, but careful consideration is needed to ensure true educational value.
Splitting Infinity β€’ 39 implied HN points β€’ 17 Aug 23
  1. Taxation is essential for governance and must be adapted for effective government in space as the celestial realm sees more activities and developments.
  2. Principles of taxation like efficiency, sufficient revenue, practicality, tolerance, clarity, and locality should guide the design of tax systems in space to ensure fairness and viability.
  3. Georgism, with its focus on land value taxes, can offer a balanced solution for taxation in space by encouraging development while discouraging rent-seeking behaviors.
The A.I. Analyst by Ben Parr β€’ 58 implied HN points β€’ 15 Mar 23
  1. The AI Classification Framework (ACF) offers a new way to assess AI capabilities beyond the Turing test.
  2. The ACF evaluates AI based on eight modalities and aims to measure progress towards more advanced AI.
  3. Moving on from the outdated Turing test, the ACF provides a more relevant framework for understanding and developing AI.
Augmented β€’ 39 implied HN points β€’ 05 Apr 23
  1. GPT-4 can solve complex problems but struggles with basic math concepts.
  2. Large language models like GPT-4 excel in certain areas but show limitations in understanding.
  3. The standards used to measure intelligence need to be reevaluated based on the capabilities of AI like GPT-4.
Joshua Gans' Newsletter β€’ 19 implied HN points β€’ 24 Aug 20
  1. During the Covid-19 pandemic, the challenges of grading students became pronounced, resulting in significant issues with assessment and grading strategies in educational institutions.
  2. The UK's Ofqual algorithm for adjusting predicted grades and translating them to final grades during the pandemic resulted in unfair outcomes, with significant disparities in grading and allocation of University places.
  3. Utilizing algorithms for student grading during crisis situations should incorporate considerations for bias and adjust predicted grades accordingly, to avoid harmful outcomes and ensure fair assessment.
Joshua Gans' Newsletter β€’ 0 implied HN points β€’ 06 Nov 20
  1. When transitioning to online assessments, consider the implications of privacy when using surveillance software - it can invade students' personal spaces and raise trust issues.
  2. Using surveillance software can signal a lack of trust and respect towards students - consider alternative assessment methods to avoid creating a disruptive and distrustful environment.
  3. Surveillance software for exams may disproportionately impact students of color and other protected classes, highlighting the importance of considering diversity, equity, and inclusion in assessment approaches.
Joshua Gans' Newsletter β€’ 0 implied HN points β€’ 24 Apr 23
  1. Consider embracing AI tools for written assessment instead of banning them, as tools like ChatGPT can enhance the learning process and reveal deeper understanding.
  2. Rethink traditional assessment methods to focus more on critical thinking and application of knowledge rather than just memorization and regurgitation.
  3. Encouraging students to use tools like ChatGPT thoughtfully, along with evaluating and signing off on the AI-generated content, can contribute to a more nuanced and fair assessment process.
Sustainable Views β€’ 0 implied HN points β€’ 07 Apr 23
  1. The current education system is based on outdated methods of grading and testing.
  2. Assessment in education should focus more on application of knowledge rather than just understanding or problem-solving.
  3. Teachers need to adapt to the changing landscape of education by assessing and teaching on a higher level, and a new business model may be needed for them.