Session 1: Memory: The Computer’s Notebook · 45 minutes
Focus: store at address 10, clear R0, retrieve with brackets
Checkpoint: 42 returns despite R0's overwrite.
Teaching the visible machine
Distinguish values from addresses and read/write byte storage.
Total classroom time: 135 minutes · 3 × 45 minutes
provide a 0–255 address strip and a tiny memory table. Demonstrate memory initialization before first execution and reset behavior. Prepare values 255,256,−1,511; show that a zero byte can still have a write marker.
Focus: store at address 10, clear R0, retrieve with brackets
Checkpoint: 42 returns despite R0's overwrite.
Focus: look up seeded addresses0,7,255 through R1
Checkpoint: learner explains why LOAD R1 and LOAD [R1] differ.
Focus: write/read final byte address 255
Checkpoint: 256→0 and −1→255 while address 256 errors.
pair each value card with a separate address card; start at address 0 before introducing255.
Execute STORE 0 10 to write a zero byte, inspect the W marker at address 10, then compare reading zero with loading literal zero.
memory retrieval program plus labeled literal/address/read examples and a correct boundary-case explanation.
OpenKernel EDU aligns with concepts in the following frameworks. These connections support teacher planning. Check your current local grade or course expectations and assessment requirements when selecting activities.
Coding and computational thinking in elementary mathematics; algorithms, programming, data representation and computer systems in secondary computer studies/digital technology contexts.
Units 1–3 address state/data/computers, 4–8 sequence/control/algorithm/debugging/representation, and 9–10 decomposition/systems/projects. Select actual grade/course expectations locally. This model does not establish coverage of all mathematical, digital citizenship, hardware-building or networking outcomes.
Applied Design, Skills and Technologies learning through designing, testing and refining solutions; secondary computer studies/programming concepts involving algorithms, data and computer systems.
Units 4–10 support iterative program design and explanation; units 1–3, 8 and 9 support data/state/system representation. Paper design, trace evidence and reflection make the process visible. Check current grade/course wording; not every ADST competency is covered.
Computing science in applicable science/programming contexts; senior-high Career and Technology Studies Computing Science (CSE) concepts in algorithms, structured programs, data and systems.
Units 1–8 develop state, control and abstraction; units 9–10 apply decomposition and testing. Check the current program of studies and course requirements when deciding which activities suit your class.
These concept references use the CSTA 2017 framework. Check the current adopted edition and the full standard’s grade-level scope before using an identifier in a formal school mapping.
Units 1–3, 8 and 9 also connect to the Computing Systems concept. Algorithm, state, debugging, abstraction and control describe the ideas taught in this resource; consult the local framework for its expectation names and scope.
Use these official landing pages to check the current adopted edition and local grade or course expectations.