17 Matching Annotations
  1. Nov 2023
    1. problem-based learning (PBL)

      This is something I have used in my classroom

    2. Indeed, technology may be considered an important layer in most instructional systems, similar to how architectural buildings comprise various layers from the framing to the electrical to (nowadays) the technological.

      Technology is an important part of every job and plays a large role in how we learn and evaluate learners.

  2. Sep 2023
    1. Computational media like computers, calculators, and software make it possible to externalise information processing in new and powerful ways

      Calculators are readily accessible for people today. When I was in school we had to learn how to do math without a calculator, which was useless

    2. AI techniques have been developed that adjust the task to the student's abilities, giving them tailored assessment experiences.

      differentiation!

    3. They developed measures of conscientiousness, creativity, and physics ability by collecting data generated in a digital physics game commonly used in schools. They built models of the expected trajectory of behaviour evident in the game as students increased in capability, called a construct map (Wilson, 2005). The data were then used to place each learner on this map, generating a dynamic assessment of the increasing capability of the learner as they played.

      Such a cool idea!

    4. presenting questions in a predetermined or random order, as well as the ability to provide learners with rapid and personalised feedback

      This is a big reason why I use castle learning as resource for my students-instant feedback and randomizing questions!

    5. assigning the same task to multiple users.

      This seems inefficient?

    6. as class sizes increase, it becomes more challenging for instructors to provide rich and timely feedback

      This is very true. My larger classes are difficult to get feedback returned in a timely manner.

    7. offload tasks from humans to AI and help to make assessment practices more feasible to maintain.

      Typically, this would be a good thing but I worry about allowing technology to do too much. At what point are we allowing AI to overstep.

    8. ssessments as one-size-fits-all may introduce bias

      I have such a variety of students coming from all sorts of backgrounds, cultures, ethnicities, and I can't imagine using a one-size fits all assessment to determine what they know. Differentiation is key.

    9. effective self-regulation of their learning (e.g., Panadero, 2017), to make sound judgements about their progress (e.g., Boud, Ajjawi, Dawson, & Tai, 2018), and to change strategies when needed (e.g., Alter, Oppenheimer, Epley, & Eyre, 2007) are vital,

      These are crucial life skills, not only as students.

    10. potentially error-prone

      interesting thought!

    11. Assessment design requires carefully crafted items

      This is something that I have felt very overwhelmed with as a new teacher. The amount of time that it takes to create the material is draining and overwhelming.

    12. The data used for these inferences are typically sparse, and student learning may not be the focus of the assessment.

      What is the focus if it is not student learning?

    13. adhering to the culture of schooling rather than the cultures schooling is designed to prepare students to enter

      "School" is not preparing our students well for the real world when we use traditional methods of assessment.

    14. uniform and thus unadapted to the particular knowledge skills and backgrounds of participants

      This goes back to differentiation-something that is pushed very hard in the school system.

    15. First, they can be onerous for educators to design and implement.

      onerous: involving heavy obligations