Structure and Justifications for the Instructional Design
Each module will follow a somewhat similar routine and include similar elements, which are:
Introduction: A few brief lines that prime the learners for what to expect in terms of content in each module.
How to navigate the lesson: An outline of main activities they will do in each module.
Understanding goals: A summary of the expected key understandings at the end of the lesson.
Lead-in activity: Thought-provoking questions that help learners connect backward to what they have already known, recall what they have learned, or to prepare for the new lesson.
Mini lecture(s): brief explanations and examples on new concepts and key ideas as well as findings from research.
Reflection: space for students to reflect on what they’ve learned and connect the lessons to their personal experience.
Connecting forward: Implications for professional development.
Checking understanding: A list of questions to help learners map out what they have just completed learning and recall the content knowledge.
This design follows the Teaching for Understanding Framework, which aims to foster deeper understanding of the topic. According to Wiske & Breit (2005), this framework includes four major elements: 1) generative topics, 2) understanding goals, 3) performances of understanding, and 4) on-going feedback.
To be more specific, the curriculum first must present a generative topic that are connected to multiple ideas within and across subject matters, are engaging and accessible to students, and generate continuing inquiry. The three modules I design focus on memory and specifically point to different aspects of memory that invite learners to connect academic findings about memory to their work and life. Indeed, understanding the concepts about memory goes beyond understanding about memory itself but also gives learners the chance to apply what they learn to different contexts. In unit begins with a generative question that can be answered from different perspectives, biological, cognitive, or social points of view to name but a few.
Second, understanding goals are clearly laid out and publicly stated at the beginning of each lesson so that learners can set their goals for each lesson and develop a big picture of what they are about to acquire. The learning goals focus on big ideas and key concepts that learners are expected to take away from the lessons.
Third, students can demonstrate their understanding through many entry points throughout the modules. They are invited to actively recall information, reflect on what they learn, and generate creative ideas related to the lesson content. For example, in the last module about forgetting and unlearning, learners are invited to recall the research findings about forgetting that they have just learned, summarize these findings in their own words, and then connect the findings to their professional development. This can help learners understand the topic deeply and apply what they learn to their personal experience.
Finally, feedback is embedded into learning activities and is on-going. Learners are asked to answer reflective questions at the end of each major sections in each module. Indeed, this assessment of understanding does not come at the end of the lesson series but take place along the learning process.
In addition to the aforementioned framework, the design of my lessons also integrate a number of analogies into the lesson. For example, in the first module about modeling memories, the analogy of memory systems, in which human memory is compared to DVDs or filing cabinets, is embedded and oriented the two major points in the lesson. Also, short-term and long-term memories are also compared to a backpack and a locker to show the differences between the two. According to Gentner and Maravilla (2018), analogy is a powerful learning tool that promotes schema abstraction, difference detection, and re-representation. Comparing and contrasting different memory systems, for example, helps learners to go to the bones and understand the essential similarity as well as detect the differences among them. Furthermore, as Orgill and Thomas (2007) point out, “Effective analogies motivate students, clarify students' thinking, help students overcome misconceptions, and give students ways to visualize abstract concepts”. For example, the backpack and the locker can be helpful in helping learners visualize short-term and long-term memories. Likewise, when they think of the similarity and differences between our human memory system and other memory system such as DVDs or filing cabinets, they can also easily understand the core concepts about memory processing and the reconstructive nature of our memory.
Finally, transfer is also an important underlying cognitive science component in my project. According to Grozer (2021), transfer involves taking knowledge learned in one context and using it in another context. As learning can get deeper when learners can transfer the knowledge they learn to other contexts, instruction that offers opportunities for transfer to happen can be useful. In this project, after learning about the nature of memory and research findings related to human memory, learners also have the chance to apply what they learn about memory to better their work performance as well as work relationships and transfer the knowledge to their context. For example, in the first module, after learning about the reconstructive nature of the human memory, learners are encouraged to think about how that nature of memory can affect their relationships at work – relationships with their boss, their colleagues, or their employees. Similarly, in the other two modules, learners have many chance to reflect on their own context and think about how they can transfer what they learn about making memory stickier or unlearning to their own work context. I believe that this will help their learning become more effective and deeper.