Approaches and methods of teaching science — Unit 3, exam-ready
From the maxims of teaching and process-based approaches, through nine classroom methods, project and inquiry work, and cooperative learning, to constructivist, phenomenological and computational-thinking approaches — always with an eye on children with disabilities.
Pedagogic principles, process, direct experience and inductive-deductive approaches
Pedagogic principles (maxims of teaching science)
General guiding rules that help a teacher plan and deliver lessons effectively. They apply across most methods and subjects, but matter especially in science.
Begin with what students already know before new content.
Easy ideas first, building gradually to difficult ones.
Real objects and observable examples before abstract theory — very important for learners with intellectual disabilities.
Specific examples lead students to a general rule or law.
Organise by the learner’s interest and mental development, not just the subject’s logical structure.
Overall picture of the topic first, then the parts in detail.
Principle of activity
Engage students in doing — observing, experimenting — rather than only listening.
Principle of motivation
Interesting activities, questions and rewards to sustain interest.
Principle of individual differences
Adapt pace and methods to different abilities and needs.
Principle of linking with life
Connect science content with everyday life experiences.
Process approach
Teaches science as a set of processes or skills rather than a body of ready-made facts to memorise. It grew out of programmes such as Science – A Process Approach (AAAS, USA) and treats science as something students do, not just read about. Skills practised repeatedly across different content become transferable tools for lifelong learning.
Direct experience approach
Learning is most effective and long-lasting when it comes from firsthand, concrete experience rather than being merely told or shown — learning by doing. Students handle real objects, perform experiments themselves, go on nature walks, and interact directly with materials and phenomena. It draws support from Edgar Dale’s Cone of Experience, which places direct, purposeful experience at the base as the most concrete form of learning.
Simplified view — Dale’s full cone has more layers between these.
Children with intellectual disabilities often learn best through concrete, hands-on, repeated experiences rather than verbal or abstract instruction — which makes this approach especially valuable.
Inductive–deductive approach
Inductive · particular → general
The teacher presents several concrete examples and guides students to observe, compare and draw out the generalisation themselves.
Example: iron, copper and aluminium all conduct electricity → “metals are good conductors of electricity.”
Deductive · general → particular
The general law or rule is presented first; students then apply it to specific examples or problems.
Example: state Ohm’s Law (V = IR) → use it to solve numerical problems on current and resistance.
| Basis | Inductive | Deductive |
|---|---|---|
| Direction | Specific examples → general rule | General rule → specific examples |
| Pace | Slower, but promotes discovery and deeper understanding | Quicker; suited to revision and application |
| Nature | Encourages reasoning and self-discovery | More teacher-directed and time-saving |
| Best used to | Introduce a new concept or law | Apply and practise an already-taught law |
In practice the two are combined: build the concept inductively, then reinforce it deductively through application to new problems.
- Maxims guide lesson organisation — known→unknown, concrete→abstract, whole→part.
- Process approach: science as skills (observing, classifying, inferring), not just facts.
- Direct experience: firsthand, hands-on learning — linked to Dale’s Cone of Experience.
- Inductive: specific → general (discovery). Deductive: general → specific (application).
Nine methods of teaching science
Pick a method to see its meaning, merits and limitations. Every method has a trade-off — that trade-off is exactly what examiners ask about.
Lecture method
Teacher-centred · one-wayDemonstration method
Teacher performs · students observeDiscussion method
Interactive · sharedProblem-solving method
Based on the scientific methodConcept-mapping
Joseph Novak · based on Ausubel’s meaningful learningProgrammed instruction
B. F. Skinner · self-instructionalBranching programming (Crowder): learners are directed to different frames depending on whether the response is right or wrong.
Team teaching
Two or more teachers · one groupSeminar
Advanced level · higher secondary and collegeComputer assisted learning (CAL)
Tutorials · drill-and-practice · simulationsCompare-and-contrast: lecture vs. discussion
| Basis | Lecture | Discussion |
|---|---|---|
| Communication | Mostly one-way, teacher to students | Two-way exchange among students and teacher |
| Student role | Passive listeners | Active participants |
| Main merit | Covers much content quickly; suits large classes | Builds critical thinking and communication; clears doubts through peers |
| Main limitation | Little individual attention or activity | Time-consuming; a few students may dominate |
- Lecture = teacher-centred, fast coverage, passive students. Demonstration = teacher performs, students observe; safe and systematic but not hands-on.
- Problem-solving follows the scientific method; concept-mapping (Novak/Ausubel) shows relationships between concepts.
- Programmed instruction: Linear (Skinner, fixed sequence) vs. Branching (Crowder, response-based paths).
- Team teaching = multiple teachers, one class. Seminar = student-led, higher levels. CAL = interactive computer learning, a useful assistive tool.
Project, survey, field-inquiry and heuristic methods
Project method
Introduced by W. H. Kilpatrick, based on John Dewey’s philosophy of learning by doing. Students undertake a purposeful, real-life task in a natural social setting, often over several days or weeks, ending in a tangible product — for example, building a working model of a water purification system.
Situation
Teacher creates a situation that makes students feel the need for a project.
Selection
Students, guided by the teacher, choose a purposeful project.
Planning
Steps, materials and division of work.
Execution
Carry out activities; collect information and materials.
Evaluation
Judge the project against the objectives set at the start.
Reporting
Present the project and its findings to the class.
Merits
- Develops practical skills, initiative and teamwork
- Correlates classroom knowledge with real life
Limitations
- Time-consuming; hard to cover the whole syllabus this way
- Hard to judge each student’s individual contribution in a group project
Three more methods
Survey method
Systematic study of a real situation, institution or local issue through observation, interviews or questionnaires — e.g. drinking-water sources in the neighbourhood, or trees in a local park.
Merit: links science to the local community; builds data-collection and simple analysis skills.
Limit: time-consuming; needs organised logistics and sometimes permissions.
Field-inquiry method
Students step out into natural or real-life settings — a field trip, nature walk, or visit to a science centre or factory — to observe, collect specimens and inquire firsthand.
Merit: direct experience of the real environment; builds observation and inquiry skills; breaks monotony.
Limit: needs planning, safety measures and permissions; hard in urban or resource-limited schools.
Heuristic method
From the Greek heurisco, “I find”. Introduced by Prof. H. E. Armstrong. The teacher poses a problem and the student explores, experiments and discovers the solution largely alone — a “young scientist”.
Merit: self-reliance, spirit of discovery, deep and lasting understanding.
Limit: extremely time-consuming; unsuitable for large classes, beginners or the whole syllabus.
- Project method (Kilpatrick, based on Dewey): Situation → Selection → Planning → Execution → Evaluation → Reporting.
- Survey: systematic study of a real local issue. Field-inquiry: firsthand investigation outside the classroom.
- Heuristic (Armstrong): the student discovers the solution independently as a “young scientist”.
Creating different situations of learning engagement
Beyond choosing a method, a science teacher decides how students are grouped and how learning is situated in meaningful contexts — especially important when planning for children with disabilities.
Individual learning
Each student learns independently, at their own pace, through self-study, assignments or programmed material. For children with intellectual disabilities, pace and difficulty can be matched precisely to the goals in their Individualised Education Plan (IEP).
Group learning
Students work together as a whole class towards a common goal — e.g. a whole-class discussion or collective activity.
Small-group learning
Students divided into smaller clusters (typically 4–6), allowing more individual participation and peer interaction than whole-class settings.
Cooperative learning
Structured small-group learning where students work interdependently towards a shared goal — each member has a defined role, and success depends on every member’s contribution.
Two cooperative techniques
Peer tutoring
A more competent student (the tutor) teaches or assists another (the tutee). It reinforces the tutor’s own understanding and gives the tutee individualised, patient, non-threatening support.
Particularly valuable for children with intellectual disabilities, who may respond better to a peer’s pace and language than a formal lecture.
Jigsaw method
Each group member becomes an expert on one sub-part of the topic, then returns to the home group to teach it — so the full topic is pieced together like a jigsaw puzzle.
Builds interdependence, responsibility and communication skills.
Each member is given one sub-part of the topic.
Members with the same sub-part meet briefly and become “experts”.
Each expert teaches their part; the topic is pieced together.
Situated / contextual learning
Drawing on the theory of situated cognition (Lave & Wenger), learning is most meaningful when embedded in the authentic, real-life context where the knowledge or skill will actually be used — not taught abstractly in isolation. For example, teaching measurement or hygiene concepts directly in a real or simulated kitchen, market or garden.
Situated learning supports generalisation — transferring a skill learned in one setting to real everyday situations — which is central to a functional, life-skills-based education for children with intellectual disabilities.
- Individual learning → self-paced, matches IEP goals. Group / small-group → collective participation.
- Cooperative learning = structured, interdependent small-group work with defined roles.
- Peer tutoring: competent peer assists another — benefits both. Jigsaw: each member becomes an expert on one part, then teaches the group.
- Situated learning: authentic real-life settings — supports generalisation of skills.
Constructivist, phenomenological and computational thinking approaches
Constructivist approach
Based on the theories of Piaget and Vygotsky: learners actively construct their own knowledge through experience, reflection and social interaction, rather than passively receiving ready-made information. The teacher shifts from transmitter of knowledge to facilitator.
The 5E learning cycle
Engage
Hook interest; surface prior ideas.
Explore
Hands-on investigation.
Explain
Make sense of what was found.
Elaborate
Apply to new situations.
Evaluate
Check understanding.
- Hands-on experiments where students build concepts through direct exploration
- Eliciting students’ prior ideas and misconceptions, then helping them revise these with new evidence
- Cooperative learning and open-ended, real-world problem-solving tasks
Phenomenological approach
Focuses on the learner’s own direct, lived experience and personal perception of a phenomenon. Students observe, describe and reflect in their own words before formal scientific terminology or explanation is introduced.
Classroom example
Before teaching “reflection of light” formally, ask students to describe their everyday experience of seeing their own reflection in still water or a mirror.
Why it suits inclusion
It begins from what every student — whatever their cognitive level — can genuinely perceive and describe from their own environment.
Computational thinking approach
A problem-solving approach built on four thinking skills, increasingly combined with simple coding, data-handling and simulation activities in science.
Decomposition
Break a complex problem into smaller, manageable parts.
Pattern recognition
Identify similarities and regularities.
Abstraction
Focus on essential details; ignore irrelevant ones.
Algorithm design
Write clear, step-by-step instructions to solve the problem.
| Classroom use | Skill involved |
|---|---|
| Teaching the water cycle as sequential steps, written out as an ordered flow | Decomposition + algorithm design |
| Classifying animals or plants by shared observable features | Pattern recognition |
| Using simulations or apps to model processes hard to observe, such as planetary motion | Abstraction / simulation |
- Constructivist (Piaget, Vygotsky): learners build their own knowledge; teacher = facilitator; e.g. 5E cycle.
- Phenomenological: start from the student’s own lived experience before formal explanation.
- Computational thinking: decomposition, pattern recognition, abstraction, algorithm design.
- All three favour active, learner-centred engagement over passive transmission of facts.
Last-minute revision sheet
Ten minutes before the exam? Read these five lines.
| Topic | One-line takeaway |
|---|---|
| 3.1 | Maxims (known→unknown, concrete→abstract…); process approach = skills; direct experience = Dale’s Cone; inductive = specific→general, deductive = general→specific. |
| 3.2 | Nine methods, each with a trade-off; programmed instruction = Linear (Skinner) vs. Branching (Crowder); concept maps by Novak. |
| 3.3 | Project (Kilpatrick, six steps); survey; field-inquiry; heuristic (Armstrong, “I discover”). |
| 3.4 | Individual → group → small-group → cooperative; peer tutoring and jigsaw; situated learning aids generalisation. |
| 3.5 | Constructivist (5E), phenomenological (lived experience first), computational thinking (D-P-A-Algorithm). |
Question bank with answer outlines
Tap a question to reveal a model answer outline. Write your own answer first, then compare.
- Learning by doing: firsthand, concrete experiences — real objects, experiments, nature walks
- Supported by Dale’s Cone of Experience (direct purposeful experience at the base)
- Relevance: children with intellectual disabilities learn best through concrete, hands-on, repeated experience rather than verbal or abstract instruction
- Lecture: one-way, teacher-centred. Merit: fast coverage, large classes. Limitation: passive students, little individual attention
- Discussion: two-way, interactive. Merit: critical thinking, communication, clears doubts. Limitation: time-consuming; a few may dominate; needs skilful moderation
- Introduced by Kilpatrick, based on Dewey’s learning by doing
- Situation → Selection → Planning → Execution → Evaluation → Reporting, one line each
- Merits and limitations in one line each
- Cooperative learning defined: structured, interdependent small-group work with defined roles
- Peer tutoring: competent peer assists another; benefits tutor and tutee; useful for children with intellectual disabilities
- Jigsaw: expert on one sub-part, then teaches the home group; builds interdependence and communication
- Starts from the learner’s own lived experience and perception, described in their own words before scientific terminology
- Example: describing everyday experience of seeing one’s reflection in still water or a mirror before formally teaching reflection of light
- Suits inclusive classrooms: starts from what every student can perceive
- Introduction: the two directions of reasoning
- Inductive with example (metals conduct electricity)
- Deductive with example (Ohm’s Law)
- Comparison table: direction, pace, nature, best use
- Conclusion: combine — build inductively, reinforce deductively
- Choose five you can recall best
- For each: meaning (one line), merits (two points), limitations (two points)
- Name-drop originators: Novak/Ausubel, Skinner/Crowder
- Conclusion: methods complement one another; no single method suffices
- Project: Kilpatrick/Dewey; six steps; merits and limitations
- Survey: systematic study of a local issue by observation, interviews, questionnaires
- Field-inquiry: firsthand study outside the classroom
- Heuristic: Armstrong; “I discover”; the student as young scientist
- Individual learning and the IEP link
- Group vs. small-group (4–6)
- Cooperative learning: peer tutoring and jigsaw
- Situated learning and generalisation of skills
- Conclusion: match the arrangement to the learner’s needs
- Constructivist: Piaget/Vygotsky; facilitator role; 5E cycle; prior ideas and misconceptions
- Phenomenological: lived experience first; reflection-of-light example
- Computational thinking: four skills; water-cycle and classification examples
- Conclusion: all favour active, learner-centred engagement
Compare-and-contrast questions: use a table
For “compare and contrast” questions — inductive vs. deductive, lecture vs. discussion — present your answer as a short table or point-wise comparison rather than only flowing paragraphs. It often earns extra marks for clarity.
Always give merits and limitations
For any method, a merit and a limitation together show balanced understanding.
Name the person
Kilpatrick, Armstrong, Skinner, Crowder, Novak, Dale, Lave & Wenger — originator names are quick, easy marks.
Give one classroom example
Metals as conductors, Ohm’s Law, the water cycle, reflection of light — an example turns a definition into an explanation.
Add the inclusion angle
Concrete-to-abstract, IEP-matched pace, peer tutoring, CAL as assistive technology — one line each shows applied understanding for this paper.
