Kuliso
In most multilingual classrooms, technology is either underused or misused for ELL support. Teachers default to Google Translate for quick fixes, or they assign students to a generic adaptive reading app that wasn't designed for someone still acquiring academic English. Neither approach actually closes the language gap — and teachers often feel like they're throwing tools at a problem they can't quite name.
This guide focuses on what actually works: specific ways technology can reduce the language burden on ELL students without bypassing the learning itself.
The Challenge Technology Is Actually Solving
When an ELL student sits in a mainstream classroom, they're managing two cognitive loads simultaneously: understanding the academic content and processing it through a language they're still developing. Research on working memory and language acquisition (Swain, 1985; Cummins, 2000) shows that when the language load exceeds a student's threshold, content comprehension collapses — not because they lack knowledge, but because the cognitive resources required to decode the language leave nothing left for the content itself.
Technology, used well, can reduce the language-decoding load so students can focus cognitive energy on the actual learning task. The key word is "used well."
5 Effective Ways to Use Technology with ELL Students
Use Home-Language Scaffolding, Not Translation
There's a meaningful difference between translating content for students and using their home language to build a bridge to English. Translation replaces English with the home language. Scaffolding uses the home language to explain, clarify, and activate prior knowledge — then moves back to English.
Tools that present content in both languages simultaneously (rather than switching between them) align with the translanguaging research and show better English acquisition outcomes. When students can see the home-language explanation alongside the English text, they build the connection between the two — they're not just getting an answer in Spanish, they're mapping Spanish understanding onto English vocabulary.
- Look for tools where the home-language support is instructional, not just a translation panel
- Bilingual glossaries embedded in context work better than standalone dictionaries
- Students should always be asked to produce in English — scaffolded input, English output
Text-to-Speech for Academic Text, Not Just Stories
Most teachers know about text-to-speech for reading support. Fewer apply it specifically to academic text — test questions, science passages, primary source documents. This is where it matters most for ELL students, because academic English has very different prosody and vocabulary than conversational English.
Hearing "evaluate the expression" or "describe the significance of" read aloud in natural-sounding speech helps students internalize academic phrasing patterns over time. This is especially effective for students who have strong conversational English but struggle with CALP (Cognitive Academic Language Proficiency).
- Microsoft Immersive Reader is free and integrates with most Office/Teams workflows
- Pair text-to-speech with vocabulary highlighting so students notice academic terms
- Consistency matters — use the same tool across subjects so students build fluency with it
Adaptive Practice That Meets Language Level, Not Just Grade Level
Most adaptive learning platforms adapt to a student's grade-level performance. For ELL students, this misses the mark — a student can be at grade level in mathematics but two levels behind in academic English. A platform that only adjusts content difficulty will keep presenting the same language barriers in harder problems.
What ELL students need is content that adapts to both their subject proficiency and their language proficiency. This is rare, but it exists. When you're evaluating tools, ask specifically: does this platform adapt language scaffolding based on English proficiency level, or does it only adapt content difficulty?
- Ask vendors for their ELL accommodation framework — "we support all learners" is not an answer
- Look for WIDA-aligned or ELPA21-aligned language scaffolding
- Test the tool with a student at ACCESS Level 2-3 — that's where the gap shows up
Sentence Frames and Structured Output Tools
Input scaffolding gets a lot of attention. Output scaffolding gets almost none. But producing language — writing, explaining, discussing — is where English acquisition happens fastest (Swain's Output Hypothesis). The problem is that ELL students often stay silent or produce minimal output because they don't have the sentence structures to express complex thinking.
Tools that provide sentence frames, academic vocabulary banks, or structured writing templates give students the linguistic scaffolding to produce complex output without the barrier of "I don't know how to say this in English." This is different from giving them the answer — it's giving them the grammatical frame into which they insert their own thinking.
- Language sentence frames: "The evidence suggests… because…" / "One difference between X and Y is…"
- Tools like Google's Read&Write and similar products embed these in writing workflows
- Rotate frames out over time as students internalize the structures
Progress Monitoring That Separates Language from Content
If your assessment tools can't tell you whether a student missed a question because of a language barrier or because they don't understand the content, you can't differentiate instruction effectively. Most platforms don't make this distinction — they just report a score.
When possible, look for tools that surface language-specific error patterns. Did the student misread the question? Did they select the answer in their home language but get it wrong in English? This diagnostic information is what allows you to intervene at the right level — content instruction vs. language instruction.
- Compare performance on questions with simple language vs. complex language on the same content
- Track whether errors are consistent across all questions or concentrated in higher-language-demand items
- Use this data to advocate for appropriate accommodations in assessment settings
What Technology Can't Do
No tool replaces relationship, context, or skilled instruction. Technology works best when it extends a teacher's capacity — it lets you provide scaffolding to 28 students simultaneously that you couldn't provide one-on-one. But the teacher still needs to set up the context, monitor whether the scaffolding is working, and pull it back as students gain proficiency.
The mistake many teachers make is treating EdTech as a rotation station: "ELL students go to the iPad, everyone else does the lesson." This exacerbates the gap. Technology for ELL support should be integrated into the same instructional flow as everyone else — it just presents content with additional scaffolding layered in.
Choosing the Right Tools
When evaluating technology for ELL support, four questions cut through most of the marketing noise:
- Does it support home-language instruction, or just translation? Translation is a workaround. Home-language instruction is a strategy.
- Was it designed for multilingual learners, or adapted for them? Bolt-on ELL features rarely work as well as purpose-built designs.
- Can it tell you something about language proficiency, not just content performance? If every report looks the same for ELL and non-ELL students, the tool isn't giving you what you need.
- Does it align with your district's language proficiency framework? WIDA, ELPA21, and state-specific frameworks define what scaffolding is appropriate at each proficiency level — tools should map to these.
One tool worth noting in this space is Kuliso, which was built specifically for multilingual classrooms. It presents academic content in both English and students' home languages simultaneously — not as a translation mode, but as native-language instructional scaffolding. It's designed around ESL pedagogy rather than adapted from a generic platform. For teachers looking for a tool purpose-built for ELL support, it's worth a look.
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Built by ESL specialists for multilingual classrooms. Native-language scaffolding, adaptive practice, WIDA-aligned design.
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