Multiple choice is a fine tool, but it cannot ask a student to plot a line, sort evidence into categories, or tap the exact spot on a map where a battle happened. Technology enhanced question types in Pear Assessment exist for everything multiple choice cannot measure — and since state tests now use these formats heavily, students who only ever see bubbles are being underprepared for the real thing.
This deep dive goes beyond a catalogue. For each major family — drag and drop, graphing, and hotspot — it explains what the item measures, how to build it well, and the mistakes that make technology-enhanced items unfair or ungradable. If you want the quick tour first, our overview of Pear Assessment question types lists every format; this article is the workshop that follows it.
Why technology-enhanced items matter
A question type is a measurement instrument, and each instrument fits certain constructs. Drag and drop measures classification and sequencing. Graphing measures whether a student can translate between an equation, a table, and a picture. Hotspot measures location and identification inside a visual field. When you force these constructs into multiple choice, you do not get a cheaper version of the same measurement — you get a different, weaker one, because the options leak the answer’s shape.
There is also a preparation argument. Students meet drag-and-drop, graphing, and hotspot items on state assessments whether or not their classroom practice included them, and an unfamiliar interface consumes working memory that should be spent on content. A student wrestling with how to drag an object is not thinking about photosynthesis. Regular low-stakes exposure in class makes the format invisible by test day.
Finally, these items often grade themselves. A well-built graphing or drag-and-drop item scores automatically, which means you can assign richer tasks — the kind that used to mean a stack of paper marking — as ordinary homework.
drag and drop questions in pear assessment
Drag and drop questions in Pear Assessment ask students to move objects — words, numbers, images, statements — into targets. The family has four workhorse variants:
- Classify/sort: drag items into two or more category bins (“prime / composite,” “cause / effect”). Measures whether students can apply a rule repeatedly and consistently.
- Match: pair items across two sets (term to definition, event to date, equation to graph). Measures connected knowledge rather than isolated recall.
- Order/sequence: arrange steps, events, or values in sequence. Perfect for processes, timelines, and place value.
- Label: drag labels onto a diagram. Measures the same identification skill as hotspot, but with the vocabulary supplied — a good scaffold for younger students or new topics.
Design guidance that separates strong drag-and-drop items from frustrating ones: keep the draggable count modest (roughly four to eight objects; more becomes a memory test), make targets visually obvious, and include at most one deliberate distractor object that belongs nowhere — and tell students a spare may exist, or the last object becomes a forced error. Decide deliberately whether partial credit matters to you: a student who sorts nine of ten correctly knows the rule and slipped once, and your scoring should be able to say so where the platform allows per-object scoring.
graphing questions in pear assessment
Graphing questions in Pear Assessment put a coordinate grid in front of the student and ask them to build something on it: plot points, draw a line through two points, graph an inequality’s boundary and shading, place a shape, or read values back from a given graph. This is the digital heir to graph paper, with one decisive advantage — the platform can check the graph automatically.
The construct here is translation. A student who can compute y = 2x + 1 in a table but cannot draw its line holds the knowledge in one representation only. Graphing items expose that gap instantly, and they mirror exactly what state math tests demand from middle school onward.
Build them carefully. Set the grid’s range and scale to the problem — a grid running to 100 for a line that lives between 0 and 10 invites plotting errors that have nothing to do with understanding. Decide your tolerance policy: for plotted points, exact placement is reasonable; for drawn lines, allow the small deviations that a mouse or trackpad guarantees, especially for younger students and anyone using a touchscreen. Give one unscored practice item before the first graded set so students learn the mechanics — how to add a point, how to move one, how to delete — on a question that cannot hurt them.
Graphing pairs naturally with passage-style stimulus sets: a science data table followed by a “graph the results” item is a complete mini-investigation, and our guide to passage-based questions in Pear Assessment shows how to bundle stimuli and items together.
hotspot questions in pear assessment
Hotspot questions in Pear Assessment present an image — a map, a diagram, a number line, a photograph, a chart — and ask students to click or tap the correct point or region. “Click the mitochondria.” “Tap the state that joined the Union in 1850.” “Select the vertex of the parabola.”
Hotspot is the purest identification format: no list of options to eliminate, no supplied vocabulary, just “show me.” That purity is its value and its risk. It measures recognition inside a realistic visual context, which is how knowledge is actually used — on real maps, real diagrams, real specimens.
The craft is in the image and the target zone. Use the clearest, highest-resolution image you have; a blurry diagram turns a knowledge question into an eyesight question. Size the accepted region generously enough to forgive trackpad wobble but tightly enough that a click on the neighboring structure is wrong — where a structure is small, consider enlarging the image rather than shrinking your standards. And check the item on a small screen: if the target is hard to hit on a phone-sized display, it will be hard on the smallest Chromebook in your room too.
For multi-point items (“click all three prime numbers on the number line”), state the count in the question. Students should be spending effort on the math, not on guessing when they are done.
The rest of the family, briefly
Three neighbors deserve a mention. Inline choice embeds a dropdown inside a sentence — ideal for grammar, vocabulary in context, and “complete the equation” items where typing would invite spelling noise. Text entry and numeric entry ask students to produce rather than select answers, and they reward careful answer-key work: anticipate equivalent forms (fractions vs decimals, units, capitalization) or the auto-grader will mark right answers wrong. Equation and expression editors let students build real math notation as an answer; they deserve their own tutorial, because the editor’s input method is a skill in itself.
The thread connecting all of these is the one from our guide on how to write good assessment questions: the format must fit the construct, and the instructions must be teachable in one sentence. If you cannot explain how to answer in one sentence, the item is not ready.
Accessibility and fairness with enhanced items
Technology-enhanced items carry specific fairness duties. Drag and drop must be operable by students who cannot use a mouse precisely — check what keyboard or tap-to-select alternatives your delivery provides before assigning to a student with motor difficulties. Graphing and hotspot items must survive enlarged text and screen magnification without losing the target. Color cannot be the only signal in a classify item; pair it with labels or patterns.
The simplest protection is a practice-first rule: no student’s first encounter with a format should be graded. Five minutes of play with each new type, early in the year, pays for itself all year long. It also protects your data: a wrong answer in week one of a new format usually means “couldn’t operate the item,” and you would rather discover that on a practice question than mistake it for a content gap in your reports.
For a look at how these formats appear in the wild, the Smarter Balanced sample items site lets you try the same item types students meet on state tests — a useful calibration for your own items’ difficulty.
Choosing the right enhanced type in ten seconds
When you are staring at a learning objective and a blank item editor, run this quick decision chain. Is the skill about putting things into groups, pairs, or order? Use drag and drop — classify for groups, match for pairs, sequence for order, label when the vocabulary is new. Is the skill about a picture of a relationship — a line, a curve, data points? Use graphing, and decide your tolerance before you decide anything else. Is the skill about finding or identifying something inside a visual — a structure, a place, a value on a scale? Use hotspot, provided you have an image clear enough to deserve your students’ eyes.
If none of the three fits cleanly, the honest answer is often a simpler format: some objectives are best served by a clean multiple-choice item or a sentence of writing, and dressing them in interactivity adds friction without adding evidence. Enhanced types earn their complexity only when the interaction itself is part of what you are measuring.
A balanced unit test might use one enhanced item in four or five. That proportion keeps authoring time sane, gives students regular format practice, and reserves the rich formats for the objectives where rich formats change what you learn about the student.
FAQ
Do technology-enhanced questions take longer to build?
Yes — typically two to three times a comparable multiple-choice item, mostly in setup and answer-checking. The cost is repaid in auto-grading and reuse: build them for your anchor units first.
Can these items be printed for paper tests?
Some translate awkwardly — a drag-and-drop becomes matching lines, a hotspot becomes “circle the…” — and interactivity is lost. Where a printed copy is a backup rather than the main event, that is acceptable; where the skill is the interaction itself, keep it digital.
Are enhanced items appropriate for young students?
Label-style drag and drop and simple hotspot work well from early grades, provided the motor demands are modest and practice comes first. Graphing should wait until students have handled physical graph paper.
Conclusion
Technology enhanced question types turn Pear Assessment from a bubble-sheet replacement into a genuine measurement toolkit: drag and drop for classification and sequence, graphing for representation, hotspot for identification in context. Build them with modest object counts, sensible tolerances, generous target zones, and a practice-first rule — and your students will meet state-test formats as old friends rather than strangers, with your gradebook filling itself neatly along the way.