Strong Points in Providing Good Feedbacks

 Overall, I think there are many potential difficulties or limitations associated with each module. For example, Connectionist Model of Feedback Effects involves dealing with mathematical rules, neural network simulations, and concepts like pattern matching and prototype extraction. Understanding the intricacies of connectionist models and neural networks might be complex. However, ensuring accurate interpretation of mathematical rules and their application within neural network simulations is crucial for effective understanding. The challenge to Certitude Model of Feedback is that dealing with the subjectivity of response certitude and its use in the feedback process. Assessing the stability of response certitude estimates and their validity for prescribing feedback could be complex. Its insight is to recognize the potential inconsistencies in response certitude as a self-report measure and considering alternative variables that might influence changes in certitude. Five-Stage Model of Mindfulness grasping the concept of mindfulness in the context of the feedback process. Understanding how feedback can either promote or inhibit learning based on the level of mindfulness involved. Recognizing the importance of the learner's mental state, search strategies, and adjustments in the feedback process and understanding how these factors contribute to effective learning. Therefore, I believe each module presents unique aspects that require careful consideration.

Two Strong Points in Providing Good Feedbacks

i. The Certitude Model of Feedback recognizes the importance of individual differences in response certitude. It suggests that feedback can be adapted based on the learner's level of certainty, tailoring the feedback to the learner's specific needs. This individualization enhances the potential effectiveness of feedback by addressing the unique cognitive processes and confidence levels of each learner.

ii. The Five-Stage Model of Mindfulness emphasizes the concept of mindfulness in the learning process. It highlights the significance of engaged and reflective learning. When feedback encourages mindfulness, it promotes deeper cognitive engagement and better understanding. This approach recognizes that the effectiveness of feedback is not just about the information provided but also about how learners interact with and reflect upon that information.

Two Points for Improvement

i. The Connectionist Model of Feedback Effects introduces the complexity of neural network simulations and mathematical rules within connectionist models. Improving the accessibility and interpretability of such models is essential. Simplifying explanations and providing concrete examples could enhance the understanding of these models.

ii. The Certitude Model acknowledges the subjectivity of response certitude. Ensuring the stability and reliability of response certitude estimates is a challenge. Exploring ways to make this measure more objective or identifying additional variables that influence changes in certitude could enhance the model's robustness and practical applicability.

In summary, while individualization and mindfulness stand out as strong points in the feedback models discussed, there is room for improvement in terms of simplifying complex models and addressing the subjectivity and stability of response certitude. Continuous refinement in these areas would contribute to more effective and universally applicable feedback strategies.

Reference

Mory, E. H. (2004). Feedback research revisited. In D. H. Jonassen (Ed.), Handbook of research on educational communications and technology (pp. 745-783). Lawrence Erlbaum Associates. Download the pdf.