Grade 10 Geography Term 1 Scheme of Work
Geography • Grade 10
KES 100.00 — Full Scheme of Work
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📘 Preview: Week 3 (Random Sample)
| Week | Lesson | Strand | Sub-strand | Lesson Learning Outcomes | Learning Experiences | Key Inquiry Question(s) | Learning Resources | Assessment | Reflection |
|---|---|---|---|---|---|---|---|---|---|
| 3 | 1 | Practical Geography | 1.3 Statistical Methods | By the end of the lesson, the learner should be able to: a> explain three importance of statistics in Geography; b> give examples like population density or rainfall trends; c> appreciate data-driven decision-making. |
The learners will be guided to: i> brainstorm uses of stats in daily life; ii> research Kenya’s census data; iii> create a ‘Why Stats Matter’ infographic. |
Why do geographers use statistics? | Census data; infographic template | Infographic rubric with CC: Critical thinking; PCI: Social cohesion | — |
| 3 | 2 | Practical Geography | 1.3 Statistical Methods | By the end of the lesson, the learner should be able to: a> analyse two limitations of geographical statistics; b> discuss data gaps or bias; c> value critical interpretation of numbers. |
The learners will be guided to: i> examine outdated or incomplete datasets; ii> debate: 'Can numbers lie?'; iii> write a cautionary note. |
What are the risks of trusting statistics blindly? | Data samples; debate guide | Debate reflection with CC: Critical thinking; PCI: Critical thinking | — |
| 3 | 3 | Practical Geography | 1.3 Statistical Methods | By the end of the lesson, the learner should be able to: a> distinguish between primary and secondary data collection; b> role-play survey and observation methods; c> demonstrate ethical data gathering. |
The learners will be guided to: i> simulate a school population survey; ii> practice questionnaire design; iii> discuss consent and bias. |
How do geographers collect reliable data? | Survey forms; role cards | Role-play checklist with CC: Creativity; PCI: Social cohesion | — |
| 3 | 4 | Practical Geography | 1.3 Statistical Methods | By the end of the lesson, the learner should be able to: a> construct a combined bar and line graph from road injury data; b> interpret trends in accidents; c> advocate for road safety. |
The learners will be guided to: i> use Kenya National Highways Authority data; ii> plot accidents (bars) and speed limits (line); iii> write a safety message. |
How can graphs reveal road safety issues? | Data sheet; graph paper | Graph accuracy with CC: Critical thinking; PCI: Road safety | — |
| 3 | 5 | Practical Geography | 1.3 Statistical Methods | By the end of the lesson, the learner should be able to: a> conduct a mini-field study on school waste; b> collect, tabulate, and graph data; c> propose a recycling plan. |
The learners will be guided to: i> audit classroom bins; ii> categorize waste; iii> present findings as a report. |
How can data help solve school problems? | Bins; tally sheets; graph tools | Field report with CC: Learning to learn; PCI: Environmental education | — |
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