Grade 11 Science Worksheets

Learning Objectives

• Explain how enthalpy changes relate to reaction heat and how calorimetry measurements connect to q = m c ΔT
• Use Hess’s law, bond enthalpies, and formation energies to calculate overall reaction enthalpy
• Interpret energy diagrams to distinguish endothermic and exothermic processes and predict qualitative spontaneity using entropy ideas

Learning Objectives

• Apply Aufbau, Pauli exclusion, and Hund’s rules to determine electron configurations and orbital filling order.
• Connect electron configurations and valence electrons to expected bonding patterns and common oxidation states.
• Interpret how orbital shapes and nodal structure relate to subshell energy and probability distribution.+ Show more

Learning Objectives

• Identify variables using operational definitions and distinguish independent and dependent variables.
• Apply principles of experimental control, replication, and randomization to reduce confounding effects.
• Use representations (flow diagrams and factorial tables) to plan comparisons and justify causal inferences.+ Show more

Learning Objectives

• Explain how moles, molar mass, and balanced chemical equations connect to quantitative composition and conservation of mass.
• Convert between mass, moles, and molecules using dimensional analysis and mole relationships.
• Use limiting reagent reasoning to determine the amount of product formed and interpret percent yield.+ Show more

Learning Objectives

• Distinguish uniform vs. nonuniform circular motion using tangential and centripetal acceleration concepts
• Model required net forces by resolving forces into radial and tangential components
• Use polar-coordinate reasoning to connect acceleration direction with the changing direction of velocity

Learning Objectives

• Define work, kinetic energy, potential energy, and energy conservation for a closed system
• Differentiate conservative and nonconservative forces and predict how they affect mechanical energy
• Interpret and construct energy bar charts using scalar energy concepts+ Show more

Learning Objectives

• Interpret motion graphs by relating slope and area to average and instantaneous kinematic quantities.
• Construct piecewise and curved position and velocity graphs to represent constant vs. variable acceleration.
• Connect derivatives and integrals of position and velocity functions to physical rates, and apply graphical reasoning to multi-part motion.

Learning Objectives

• Explain force as an interaction and distinguish contact forces from long-range forces using examples
• Construct and interpret free-body diagrams to determine the net force on an object
• Use Newton’s laws to connect net force, mass, and acceleration, including friction, normal force, tension, and gravity+ Show more

Learning Objectives

• Define position, displacement, speed, velocity, and acceleration using consistent one-dimensional notation.
• Interpret and create relationships from position–time and velocity–time graphs using slope and area.
• Apply constant-acceleration equations to solve for kinematic quantities in one-dimensional motion.+ Show more

Learning Objectives

• Explain how mechanical wave properties (wavelength, frequency, speed, and amplitude) relate mathematically and conceptually.
• Use superposition to predict patterns created by overlapping waves and identify constructive vs. destructive interference.
• Analyze reflection, transmission, and boundary conditions to describe standing-wave formation and resonance in strings and air columns.+ Show more

Learning Objectives

• Explain how ATP hydrolysis and synthesis relate to free energy (ΔG) and reaction coordinate diagrams
• Describe energetic coupling and how enzymes control reaction rates without changing ΔG
• Interpret how enzyme kinetics and environmental conditions influence cellular metabolic flux and energy budgets

Learning Objectives

• Explain the step-by-step flow of gene expression from transcription initiation to translation and regulation.
• Describe how promoter architecture, transcription factors, and chromatin remodeling influence whether transcription occurs.
• Evaluate how epigenetic marks and post-transcriptional regulation contribute to different cell types and developmental stages.

Learning Objectives

• Explain how nucleic acid structure and base-pairing rules enable accurate DNA replication and heredity
• Describe transcription and translation as information-transfer processes, including codons, reading frames, and post-transcriptional RNA processing
• Analyze how mutations and recombination can change gene expression and phenotype+ Show more

Learning Objectives

• Explain how proton gradients and electron transport chains are coupled to ATP synthesis through chemiosmosis
• Interpret redox potential and electrochemical gradient ideas to predict the direction and energy of electron flow
• Calculate and compare ATP yield using stoichiometric relationships between proton translocation and ATP formation+ Show more

Learning Objectives

• Explain how allosteric control, covalent modification, compartmentalization, and hormonal signaling regulate metabolic pathway flux.
• Use quantitative rate ideas (feedback inhibition and branch-point control) to predict how metabolic pathways respond to changing conditions.
• Describe thermodynamic and enzyme-kinetic constraints that help cells balance anabolic and catabolic demands to maintain homeostasis.

Learning Objectives

• Explain how macromolecules assemble into cellular structures from membranes to organelles.
• Compare prokaryotic and eukaryotic cellular organization using ultrastructural features.
• Connect subcellular localization (compartmentalization) to where biochemical pathways occur.+ Show more

Learning Objectives

• Explain how allele frequencies change over generations due to selection, genetic drift, migration, and mutation.
• Use Hardy–Weinberg equilibrium to model a population when evolutionary forces are not acting.
• Calculate genotype frequencies from allele frequencies and interpret what those frequencies imply about genetic variation and fitness.

Learning Objectives

• Explain how organelle structure supports specialized functions in metabolism, protein trafficking, and signal transduction
• Compare biochemical signatures and membrane properties that control permeability and reaction rates across organelles
• Describe how endosymbiotic origins and membrane composition differences affect organelle organization and cellular homeostasis+ Show more

Learning Objectives

• Explain how quantitative models represent biological systems across scales using equations, networks, and statistical relationships.
• Use model parameterization, sensitivity analysis, and validation to connect model predictions to empirical data.
• Compare competing models and describe limitations and sources of uncertainty in biological modeling.

Learning Objectives

• Explain how biological processes at molecular and cellular levels scale up to organismal physiology and ecosystem dynamics
• Model and interpret feedback loops and regulatory networks that produce homeostasis and emergent system behavior
• Evaluate the limits of reductionist models and justify multi-scale modeling to predict responses to perturbations+ Show more

Learning Objectives

• Define solute, solvent, and a solution using correct scientific language
• Identify how concentration affects the properties of a solution
• Explain how solute–solvent interactions (at the microscopic level) and temperature influence dissolution+ Show more

Learning Objectives

• Explain how discretization, time-stepping, and parameter sweeps are used to simulate dynamic systems
• Identify common sources of numerical error and describe trade-offs between resolution and computational cost
• Evaluate whether a simulation’s output is consistent with analytic expectations and observations+ Show more

Learning Objectives

• Define conceptual models as simplified representations that link mechanisms to observable phenomena.
• Identify key model components, assumptions, and scope that shape qualitative predictions.
• Distinguish discrete and continuous modeling approaches and interpret qualitative model outputs.

Learning Objectives

• Identify control variables and baseline conditions in comparative science investigations.
• Explain how poor control choices can create systematic bias and weaken causal claims.
• Select appropriate control treatments and describe constraints that affect interpretation of results.

Learning Objectives

• Distinguish claims, evidence, and reasoning in scientific arguments and describe how they connect.
• Use confidence statements and explain uncertainty when interpreting scientific data.
• Evaluate alternative explanations by weighing multiple lines of evidence and stating assumptions.

Learning Objectives

• Analyze how graph design choices (axes, scales, bin widths, and labeling) influence scientific interpretation of patterns and trends.
• Compare common quantitative graphs (scatterplots, histograms, box plots, and line graphs) and match each to what it best communicates.
• Critique graphs for accuracy and completeness by checking units, scales, normalization, uncertainty, and annotation conventions.+ Show more

Learning Objectives

• Explain how cross-validation and residual analysis help evaluate whether a model is credible.
• Identify common signs of overfitting and how they show up in validation results.
• Use independent datasets and uncertainty-aware comparisons to justify model refinements.+ Show more

Learning Objectives

• Explain inferential ideas such as sampling variability, sampling distributions, and robustness of conclusions.
• Use hypothesis framing, p-values, and effect sizes to interpret scientific evidence from noisy data.
• Interpret confidence intervals and decide whether evidence supports or does not support claims.+ Show more

Learning Objectives

• Explain how molecular structure factors (bond polarity, atom size, electronegativity, resonance stabilization, and oxidation state) influence acid strength
• Predict relative acidity for oxyacids and halogen-substituted acids using electron-withdrawing effects
• Connect acid formation in Alberta’s environment to combustion products and precipitation acidity

Learning Objectives

• Represent and connect quantitative evidence to support or refute scientific hypotheses.
• Use model-based inference while accounting for uncertainty and validation results.
• Synthesize empirical findings with design constraints to form defensible scientific arguments.+ Show more

Learning Objectives

• Explain how buffer capacity relates to resisting pH change when acids or bases are added
• Describe how total buffer concentration and component ratio affect the amount of strong acid/base a buffer can absorb
• Interpret qualitative and quantitative information about buffering in natural and engineered systems

Learning Objectives

• Explain how conjugate acid-base pairs resist changes in pH in buffer solutions
• Interpret how pKa and acid/base concentration ratio affect buffer range and effectiveness
• Apply buffer principles to real-world contexts such as soil chemistry, wetlands, and water treatment

Learning Objectives

• Convert between pH/pOH and hydrogen-ion/hydroxide-ion concentrations using logarithmic relationships.
• Determine unknown ionic concentrations from given pH or pOH values and apply scientific notation with correct units.
• Use the ion product of water (Kw) to interrelate [H+] and [OH-] in aquatic samples.

Learning Objectives

• Describe how the Henderson–Hasselbalch equation connects buffer pH to pKa and the acid/base concentration ratio.
• Use the Henderson–Hasselbalch equation to predict how changing reactant or conjugate base concentrations affects buffer pH.
• Interpret buffer behavior in real contexts, including environmental and industrial pH stabilization.

Learning Objectives

• Explain why matching an indicator’s pH transition range to the expected equivalence pH improves titration accuracy.
• Select an appropriate indicator for different acid–base titration types based on the equivalence pH (basic vs. acidic).
• Justify indicator choice using titration type, indicator transition interval, and expected endpoint clarity.+ Show more

Learning Objectives

• Explain how acid dissociation constants (Ka) and base dissociation constants (Kb) quantify equilibrium for proton transfer reactions
• Connect pKa and pKb values to relative acid/base strength and predict which equilibrium lies farther to products
• Use the relationship Kw = Ka·Kb to relate conjugate acid–base pairs+ Show more

Learning Objectives

• Use balanced chemical equations to relate moles of acids and bases in neutralization reactions.
• Apply molarity and stoichiometric ratios to calculate reagent amounts needed to reach equivalence.
• Identify and use the limiting reagent concept in titration and treatment scenarios.+ Show more

Learning Objectives

• Explain what pH measures and how it relates to hydrogen ion concentration [H+].
• Use the pH–pOH relationship at 25°C to interpret acidity and basicity.
• Apply pH concepts to real-world water chemistry, including solubility and biological suitability.

Learning Objectives

• Explain how polyprotic acids dissociate in steps and how each step affects pH
• Interpret titration curves using stepwise and cumulative acidity ideas
• Use dissociation constants (pKa values) to predict buffer regions and equivalence behavior

Learning Objectives

• Differentiate strong acids/bases from weak acids/bases based on ionization extent in water
• Explain how ionization extent affects [H+] and [OH−] and therefore pH changes
• Use chemical examples (HCl, NaOH, acetic acid, ammonia) to predict relative strength and behavior in solution+ Show more

Learning Objectives

• Explain how molecular orbital theory and band theory describe bonding beyond localized pictures.
• Use band structure ideas to predict metallic conductivity and semiconductor behavior.
• Connect orbital overlap and molecular symmetry to spectroscopic signatures and reactivity trends.+ Show more

Learning Objectives

• Compare ionic, covalent, and metallic bonding using the electron transfer, electron sharing, and delocalized electron models
• Relate bond type to characteristic structural motifs (ionic lattices, molecular covalent structures, and metallic electron seas)
• Explain how bond type helps predict differences in conductivity, hardness, and solubility

Learning Objectives

• Explain how valence electrons and electronegativity differences determine molecular polarity.
• Interpret how dipole moments arise from uneven electron density and bond polarity.
• Predict and compare intermolecular interactions for polar molecules (e.g., water) versus nonpolar molecules (e.g., carbon dioxide).+ Show more

Learning Objectives

• Define electronegativity and explain how it relates to attraction for shared electrons in covalent bonds
• Use periodic trends to predict how electronegativity changes across periods and down groups
• Predict bond polarity and partial charges from electronegativity differences (ΔEN)

Learning Objectives

• Explain how London dispersion forces arise from transient electron distribution fluctuations.
• Describe how molecular size, shape, and surface contact affect the strength of dispersion forces.
• Connect dispersion forces to macroscopic properties such as melting point, viscosity, and phase behavior of nonpolar substances.

Learning Objectives

• Explain how hydrogen bonding forms between a hydrogen atom and a lone pair on an acceptor atom
• Describe how hydrogen bonding affects physical properties such as melting and boiling points
• Analyze the role of hydrogen bonding in water structure, ice formation, and biological/industrial materials

Learning Objectives

• Represent valence electrons and bonding pairs in Lewis structures to predict basic connectivity in molecules.
• Use formal charge rules to identify the most reasonable Lewis structure and minimize overall charge.
• Recognize resonance possibilities and explain how octet-rule exceptions apply to molecules such as CO2 and SO2.

Learning Objectives

• Describe how atomic radius, ionization energy, and electronegativity change across periods and down groups.
• Explain how periodic trends help predict ion charge formation (cations vs. anions) and bonding preferences.
• Connect periodic trends to real-world material behavior, such as corrosion and alloy selection.