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Education LearningTop 10 Best Spanish Speaking Software of 2026
Top 10 Spanish Speaking Software ranked for learners, comparing Duolingo, Babbel, and Busuu by lessons, practice, and tradeoffs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Duolingo
Spaced repetition scheduling adjusts review timing based on per-skill mastery progress.
Built for fits when individual Spanish practice depends on guided repetition, not external system integration..
Babbel
Editor pickAudio-first exercises embedded in lesson progression for listening accuracy and pronunciation feedback.
Built for fits when individuals or small cohorts need guided Spanish practice without complex system integrations..
Busuu
Editor pickCommunity feedback on writing and speaking practice ties learner submissions to targeted Spanish corrections.
Built for fits when Spanish learners need guided practice plus human corrections, without custom workflows or integrations..
Related reading
Comparison Table
This comparison table evaluates Spanish learning software by integration depth, data model, and the automation and API surface each product exposes for content, user, and progress synchronization. It also tracks admin and governance controls, including RBAC coverage, provisioning workflows, and audit log availability, so teams can assess rollout and compliance constraints alongside learner outcomes. The entries include Duolingo, Babbel, Busuu, Rosetta Stone, and Memrise, with notes on schema fit, extensibility limits, and configuration tradeoffs.
Duolingo
consumer languageBrowser and mobile language-learning platform with Spanish curricula, adaptive practice loops, and progress data surfaced through app accounts.
Spaced repetition scheduling adjusts review timing based on per-skill mastery progress.
Duolingo runs short lesson units that combine reading, multiple choice, listening, and writing prompts into a structured path for Spanish learners. The data model tracks a learner’s progress at the exercise and skill level and uses that state to drive review sessions. Integrated voice and audio activities support pronunciation practice and comprehension checks inside the learning loop. Administration controls are primarily limited to the learner account and family grouping features rather than enterprise style RBAC and provisioning.
A tradeoff is that Duolingo does not provide a documented schema or public API surface for syncing learner state into external systems for automation. This matters when internal governance requires an audit log, role-based access control, and automated onboarding. Duolingo fits usage situations where individual practice consistency matters more than integration depth with learning platforms.
- +Spaced repetition ties review scheduling to tracked skill checkpoints
- +Listening and speaking exercises provide in-app pronunciation practice
- +Cross-device continuity keeps lesson progress synced between web and mobile
- +Fine-grained practice loops deliver immediate correctness feedback
- –Limited external integration depth and no documented public API for learner state
- –Admin governance features do not map to enterprise RBAC and provisioning needs
- –Automation access is constrained to in-product progression and reporting
Independent learners
Daily Spanish practice with spaced review
More consistent retention
Family learning groups
Coached practice for household members
Better practice accountability
Show 2 more scenarios
Education programs
Supplement classroom Spanish practice
Faster at-home practice
In-app progress tracking supports assignment-based practice without external automation hooks.
IT and learning ops teams
Avoids integration-driven governance requirements
Lower integration workload
Lack of an API and schema limits syncing with SIS and internal data models.
Best for: Fits when individual Spanish practice depends on guided repetition, not external system integration.
More related reading
Babbel
consumer languageSubscription language-learning platform with structured Spanish lessons, spaced repetition practice, and account-based learner progress tracking.
Audio-first exercises embedded in lesson progression for listening accuracy and pronunciation feedback.
Babbel’s core learning loop combines lesson progression, spaced repetition style review behaviors, and audio-first activities for Spanish comprehension and pronunciation. Learners get an exercise mix that includes listening prompts, interactive drills, and grammar-linked practice steps within the same lesson units. This structure creates a clear internal data model for lesson state, skill coverage, and completion events.
A key tradeoff is the constrained integration depth for enterprise workflows, since Babbel’s public interface does not emphasize automation and extensibility via a documented API, webhooks, or admin endpoints. Babbel works best for individuals or small programs that need consistent self-paced practice without building a learning operations layer. Teams that require RBAC, audit logs, or SCIM-style provisioning will need adjacent tooling to manage user lifecycle and reporting.
- +Audio-centric lessons for Spanish listening and pronunciation practice
- +Clear lesson sequencing with progress tracking across units
- +Consistent review routines tied to prior content completion
- –Limited documented API or automation surface for external systems
- –Restricted admin governance controls for enterprise learning ops
- –Few integration hooks for custom reporting schemas
Individual learners
Build steady Spanish study routines
Faster comprehension and better recall
Small language programs
Standardize curriculum across learners
Consistent practice outcomes
Show 1 more scenario
Learning operations teams
Integrate progress into HR systems
Requires manual or custom glue
Limited API and admin provisioning controls reduce automation and extensibility for reporting pipelines.
Best for: Fits when individuals or small cohorts need guided Spanish practice without complex system integrations.
Busuu
consumer languageSpanish learning program with course paths, speaking and writing practice in app flows, and learner progress tracked per account.
Community feedback on writing and speaking practice ties learner submissions to targeted Spanish corrections.
Busuu runs guided Spanish lesson sequences that cover grammar topics and high-frequency vocabulary through exercises, including writing prompts and speech practice. Community members review user submissions and provide corrections, which creates a feedback layer beyond automated checking. Progress tracking groups work into skill areas and keeps a record of completed activities.
A tradeoff is limited automation depth for non-learner integrations because Busuu is built around its learner experience rather than an external API-first workflow. Busuu fits best when learners want structured practice with human corrections, such as preparing for everyday conversation or reinforcing weak grammar points.
- +Community corrections for writing and speaking submissions
- +Structured Spanish lesson paths with skill-focused exercises
- +Progress tracking by grammar and vocabulary areas
- –Limited integration and API surface for external automation
- –Peer feedback throughput can vary across active topics
Independent Spanish learners
Practice writing with community corrections
Faster grammar improvement
Spanish conversation learners
Train speaking with feedback loop
More natural output
Show 2 more scenarios
Grammar remediation learners
Reinforce weak grammar topics
Fewer repeated mistakes
Lesson exercises repeat grammar concepts and track completion across skill areas for consistency.
Progress-focused learners
Monitor vocabulary and grammar growth
Clear practice cadence
Progress views summarize activity completion to help learners keep momentum on Spanish practice.
Best for: Fits when Spanish learners need guided practice plus human corrections, without custom workflows or integrations.
Rosetta Stone
coursewarePaid language-learning software with Spanish courses, interactive exercises, and learner performance tracked inside a user account across devices.
On-lesson speech feedback for pronunciation practice during Spanish listening and speaking exercises.
Rosetta Stone delivers Spanish learning through structured lessons, speech feedback, and interactive practice. Progress is tracked inside its learning flow so learners can maintain continuity across sessions.
The product emphasizes content-driven instruction rather than workplace workflows, which limits integration depth compared with tools built for API-first automation. Rosetta Stone’s automation and data exposure are primarily learner-focused, not administrator-driven provisioning and governance.
- +Speech practice with learner voice feedback during lesson exercises
- +Consistent lesson structure that supports repeatable practice cycles
- +Progress tracking aligned to a sequential learning path
- +Interactive drills cover listening and speaking alongside reading
- –Limited documented API surface for external automation and provisioning
- –No clear RBAC model for org admins managing multiple learner cohorts
- –Audit log and governance controls are not apparent for enterprise workflows
- –Automation is primarily in-app, not extensible via webhooks or workflows
Best for: Fits when individual learners need Spanish practice with guided speech feedback and in-app progress tracking.
Memrise
vocab practiceSpanish vocabulary and phrase training using curated learning decks, spaced repetition scheduling, and progress analytics inside a learner account.
Spaced repetition based on learner attempt signals to drive recall-focused Spanish review sessions.
Memrise delivers Spanish learning content through user-created courses and structured lesson flows tied to spaced repetition. Progress is tracked in a learner data model that records attempts, mastery signals, and course completion.
Integration depth depends on whether an organization needs feed-based content imports, but Memrise’s automation and API surface are limited compared with tools that expose full provisioning and admin schemas. Governance controls, including RBAC and audit log coverage for organizational accounts, are not documented to the same extent as enterprise-first learning systems.
- +Spaced repetition and mastery tracking per learner progress model
- +Community-built course content expands Spanish coverage breadth
- +Lesson flow configuration supports targeted practice and review cycles
- –API and automation surface are limited for enterprise provisioning
- –Admin governance controls like RBAC and audit logs are not clearly specified
- –Extensibility hooks for custom integrations and data schema mapping are constrained
Best for: Fits when individuals or small teams need Spanish practice with spaced repetition and community course content.
Lingoda
hybrid tutoringLanguage-learning platform combining on-demand class scheduling with account-managed learner profiles and course materials for Spanish study.
Teacher-led, scheduled live instruction provides speaking interaction data points for external tracking and governance workflows.
Lingoda targets Spanish speaking learners through scheduled live lessons with a structured progression and teacher-led feedback. Integration depth centers on how learning content, enrollment status, and learner activity can be represented in a data model and wired into external systems.
Automation and API surface focus on operational workflows such as provisioning and reporting rather than content authoring. Admin and governance controls map to learner management and auditability for lesson-related events in partner ecosystems.
- +Live lesson cadence creates consistent throughput for speaking practice
- +Learner enrollment and lesson events support integration-ready data modeling
- +Teacher feedback loops improve measurable speaking iteration cycles
- +Structured progression gives predictable schema targets for reporting
- –Limited public detail on API endpoints constrains automation depth
- –No documented RBAC model for partner roles limits governance mapping
- –Few extension points for custom curriculum and schema overrides
- –Automation coverage skews toward scheduling rather than content workflows
Best for: Fits when Spanish speaking programs need scheduled speaking practice tied to external enrollment and reporting systems.
Pimsleur
audio coursewareSpanish audio-first learning software with lesson playback, structured progression, and account-based access to course content.
Spaced audio prompts with timed recall exercises that drive active response practice across listening and speaking.
Pimsleur is built around timed, audio-first Spanish lessons designed for spaced repetition through scripted dialogues and recall prompts. The core learning flow focuses on pronunciation, listening comprehension, and active response in short segments rather than long lesson pages.
Integration depth is limited because Pimsleur’s primary interface is the lesson player, with fewer documented hooks for external systems. Automation and API surface are not presented in a way that supports learner data provisioning, RBAC, or audit log workflows.
- +Audio-first lesson flow emphasizes listening and spoken recall
- +Timed prompts support spaced repetition with consistent lesson cadence
- +Pronunciation guidance is embedded in dialogue responses
- +Lightweight user experience keeps focus on practice sessions
- –Limited integration hooks for external LMS or admin systems
- –No documented automation or API for learner provisioning and sync
- –Data model and schema are not exposed for reporting or exports
- –Governance controls like RBAC and audit logs are not externally managed
Best for: Fits when individual learners want structured spoken recall practice without LMS integration or admin governance needs.
Mondly
app languageSpanish lessons delivered via app workflows with interactive dialogues, quizzes, and tracked practice progress tied to a user profile.
Speaking-focused lesson exercises that drive practice through prompt-response loops.
Mondly delivers Spanish learning with conversation-style practice and curated language content organized around spoken interactions. Content is presented through guided lessons and speaking exercises that map user responses to repeatable lesson progress flows.
Integration depth is mostly limited to consumer usage patterns, with less visible admin and governance surface compared to LMS platforms. Automation and API surface appear constrained to the consumer experience, not to enterprise-grade provisioning, RBAC, or audit log integrations.
- +Conversation practice with speaking prompts tied to lesson flows
- +Spanish lesson paths structured around recurring phrase and scenario sets
- +Progress tracking focuses on practice completion and speaking attempts
- –Limited documented API and automation hooks for external systems
- –Restricted admin controls for provisioning, RBAC, and governance
- –Minimal extensibility for custom schema or workflow configuration
Best for: Fits when individual or small learner groups need structured Spanish speaking practice without enterprise integrations.
HelloTalk
language exchangeSpanish language exchange app with in-app messaging and learning features that track practice history for accounts.
In-app voice and text chat with language targeting guided by user profiles and conversation history.
HelloTalk connects learners through multilingual chat, voice, and media exchange with a community-driven practice loop. The core data model centers on user profiles, language targets, conversation history, and interaction artifacts like messages and voice notes.
Integration depth is mainly social and content-based through in-app features rather than a documented external API surface. Automation and extensibility are limited to what the app exposes in-product, with no clear schema, provisioning, or API controls for programmatic onboarding and governance.
- +Real-time chat and voice for Spanish practice with native speakers
- +Conversation history links language goals to prior messages and voice notes
- +Profile language settings guide match behavior inside the app
- –Limited documented API or automation surface for external integrations
- –No clear RBAC or admin governance controls for organizations
- –Extensibility options appear confined to built-in community features
Best for: Fits when individual Spanish learners need consistent conversation practice without external workflow integrations.
Tandem
language exchangeSpanish language exchange app with matching, chat-based practice, and learner profile histories tied to user accounts.
API and automation surface for provisioning learners, managing sessions, and syncing learning state.
Tandem fits teams that need Spanish learning workflows wired into existing systems, not just chat-based tutoring. It centers on conversation practice with scheduling, structured exercises, and progress tracking tied to a learning data model.
Integration depth is driven by APIs for managing sessions, user state, and content configuration, plus automation hooks for onboarding and reminders. Admin and governance controls focus on role-based access patterns, auditability of activity, and configurable provisioning workflows for group learning.
- +Conversation-first practice with session scheduling and measurable progress tracking
- +API-driven automation for onboarding, session management, and state sync
- +Configurable learning content structures mapped to a repeatable data model
- +Role-based access patterns support governance for staff and instructors
- +Audit log coverage helps track session and account-related events
- –Learning analytics depend on how session data is provisioned and retained
- –Automation breadth is stronger for operational events than deep LMS content modeling
- –Extensibility requires API familiarity for schema-aligned custom flows
- –Group workflows can demand additional configuration to match RBAC needs
Best for: Fits when schools or teams need Spanish tutoring plus API automation and RBAC-governed provisioning.
Conclusion
After evaluating 10 education learning, Duolingo stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Spanish Speaking Software
This buyer’s guide covers nine Spanish speaking and Spanish speaking-adjacent learning platforms and language exchange systems. It compares Duolingo, Babbel, Busuu, Rosetta Stone, Memrise, Lingoda, Pimsleur, Mondly, HelloTalk, and Tandem using integration depth, data model clarity, automation and API surface, and admin governance controls.
The goal is to match tool behavior to the way teams and learners manage accounts, progress tracking, and speaking practice. The guide highlights where each product keeps Spanish learner state inside the app versus where it supports external provisioning and reporting.
Spanish speaking platforms and exchange apps that drive practice loops with spoken interaction
Spanish speaking software delivers structured Spanish speaking practice through in-app speaking prompts, listening and pronunciation drills, and account-based progress tracking. Many tools schedule review inside a learner state model tied to skill checkpoints, while others rely on community corrections or teacher-led speaking sessions. For example, Duolingo uses spaced repetition scheduling linked to per-skill mastery tracked through its exercise and checkpoint workflow.
Teams choose these tools to support consistent throughput for speaking practice and to surface learner progress for reporting. Programs like Lingoda connect scheduled live lessons to learner events that can be represented for external tracking, while Tandem supports API-driven onboarding, session management, and learning state syncing for group workflows.
Evaluation criteria for Spanish speaking tools: integration, schema, automation, and governance
Spanish speaking outcomes depend on how the tool stores learner practice signals. Some products keep learner state and review scheduling inside the app, while others expose operational workflows that can be integrated into external systems.
Integration depth, automation reach, and admin governance controls determine whether the tool fits solo learners or governed organizations. Duolingo and Babbel prioritize in-app learner state loops, while Tandem and Lingoda emphasize enrollment and session event modeling for external workflows.
Learner state model tied to speaking and skill checkpoints
Duolingo drives spaced repetition review by adjusting timing based on per-skill mastery progress recorded across exercises and skill checkpoints. Memrise also tracks mastery signals per learner progress model tied to attempts and course completion, which helps teams understand what practice data exists.
In-app pronunciation and speaking feedback loops
Rosetta Stone provides on-lesson speech feedback during Spanish listening and speaking exercises. Babbel and Mondly embed speaking prompt-response loops in lesson progression, with pronunciation and speaking attempts tracked inside the user flow.
Audio-first speaking practice sequencing
Babbel embeds audio-first exercises inside lesson progression to support listening accuracy and pronunciation feedback. Pimsleur emphasizes timed audio-first dialogues and recall prompts that drive active response and spaced audio prompts within the lesson player.
Community or human correction paths for written and spoken submissions
Busuu links speaking and writing submissions to community feedback that maps to targeted Spanish corrections inside the learner flow. Lingoda adds teacher-led feedback through scheduled live instruction, which creates speaking interaction data points for external tracking and governance workflows.
API and automation surface for onboarding, sessions, and learning-state sync
Tandem provides the strongest API and automation surface for provisioning learners, managing sessions, and syncing learning state. Tools like Duolingo, Babbel, and Pimsleur keep automation constrained to in-product progression and reporting and do not expose a documented public API for learner state.
Admin governance: RBAC, provisioning workflows, and audit log coverage
Tandem focuses governance with role-based access patterns and audit log coverage for session and account-related events, which supports staff and instructor workflows. Lingoda supports partner-oriented learner management and auditability for lesson-related events, while most learner-first tools such as Rosetta Stone, HelloTalk, and Mondly show limited documented governance mapping.
Pick the right Spanish speaking tool by matching integration depth to your operating model
Start with where the tool keeps learner state and review scheduling. Duolingo and Babbel store practice loops inside the app workflow and adjust review based on tracked skill mastery, which fits learners that do not need external learner provisioning.
Then decide whether the program needs governed automation for onboarding, RBAC, and auditability. Tandem supports API-driven provisioning and RBAC-governed workflows, while Lingoda centers scheduling and teacher feedback with integration-ready learner and lesson event modeling.
Map learner progress ownership to your external reporting needs
If reporting depends on app-generated metrics inside the learner account, tools like Duolingo and Rosetta Stone fit because progress is tracked within the learning flow across devices. If reporting must join with external enrollment or session systems, tools like Lingoda and Tandem support learner and lesson events that can be modeled for external tracking.
Decide whether spaced repetition scheduling must be internal or data-exportable
For internal scheduling based on skill checkpoints, Duolingo adjusts review timing using per-skill mastery progress captured across exercises. For teams that need external hooks, many tools such as Babbel, Memrise, and Pimsleur keep spaced repetition behavior within the learner workflow and do not expose a documented external learner state API.
Match the speaking-feedback mechanism to the correction model
For self-guided pronunciation feedback, Rosetta Stone provides on-lesson speech feedback and Pimsleur uses timed audio prompts that drive spoken recall. For human or peer correction, choose Busuu for community corrections and Lingoda for teacher-led feedback that produces speaking iteration data points.
Validate automation and API requirements against documented surface area
If onboarding, session management, and learning-state syncing must be automated, Tandem is the clearest match because it provides an API and automation surface for those operational workflows. If automation only needs in-product progression and reporting, Duolingo and Babbel meet the core need without documented public API for learner state.
Confirm governance fit for staff roles and audit requirements
For schools and teams that need RBAC and audit log coverage, Tandem includes role-based access patterns and auditability for session and account events. If the program focuses on managed lesson events without deep partner RBAC mapping, Lingoda supports learner management and auditability for lesson-related events but may limit RBAC mapping for partner roles.
Spanish speaking software fit by learning workflow and governance needs
Spanish speaking software serves two distinct needs. Some tools are built for guided learner practice where speaking prompts and progress tracking live inside a learner account. Others support program operations where onboarding, session scheduling, and learning state must sync with external systems under governance controls.
The right choice depends on whether speaking practice is self-paced, community-corrected, or teacher-scheduled. It also depends on whether staff need RBAC and audit logs tied to provisioning and sessions.
Individual learners who want guided repetition and speaking drills inside the app
Duolingo and Babbel fit because they tie review routines to tracked lesson progression and embed speaking or pronunciation practice inside their lesson flows. Rosetta Stone also fits when the priority is on-lesson speech feedback during Spanish listening and speaking exercises.
Learners who need human-like corrections for speaking or writing submissions
Busuu fits when speaking and writing corrections are required and community feedback maps submissions to targeted Spanish corrections. Lingoda fits when teacher-led feedback and scheduled speaking interaction are part of the practice model.
Small teams or organizations that need scheduled speaking throughput tied to learner enrollment
Lingoda fits when speaking practice must be driven by live lesson cadence and represented for external reporting using enrollment and lesson events. It is less suitable when deep custom curriculum schema overrides and partner RBAC mapping are required.
Schools and teams that require API-driven onboarding and governed provisioning
Tandem fits schools or teams that need API automation for provisioning learners, managing sessions, and syncing learning state. Its role-based access patterns and audit log coverage support governance for staff and instructors.
Conversation-first learners who practice through chat history and in-app voice
HelloTalk fits learners who want Spanish speaking via in-app voice and text chat with language targeting guided by user profiles and conversation history. This is less suitable for governed onboarding or external workflow control because it centers on in-app community practice data rather than documented API governance controls.
Common selection pitfalls in Spanish speaking tools: integration gaps and governance mismatches
A frequent mistake is choosing a learner-first tool when the organization needs external provisioning and controlled RBAC. Duolingo, Babbel, Rosetta Stone, Pimsleur, Mondly, and HelloTalk keep progress tracking and automation primarily inside the app workflow and do not expose a documented public API for learner state.
Another mistake is assuming peer or speech correction features will match program governance needs for reporting and auditing. Busuu can provide community feedback, but most tools in this set show limited integration and governance mapping for enterprise learning ops.
Selecting an in-app spaced repetition tool for a workflow that needs API-based learner provisioning
Duolingo and Memrise adjust review timing using internal learner state models, but their external automation access is constrained to in-product progression and reporting. Tandem is the safer choice when onboarding and learning-state sync must be automated through an API.
Assuming all speaking feedback is administratively auditable for staff roles
Rosetta Stone provides on-lesson speech feedback during practice, but governance features such as a clear RBAC model and audit log controls are not apparent for enterprise workflows. Tandem includes audit log coverage and role-based access patterns for session and account-related events.
Building custom reporting schemas without checking whether the tool exposes a stable data model or endpoints
Pimsleur and Babbel keep learner data model behavior tied to the lesson player and in-product tracking and do not present a documented external API for learner provisioning and sync. Lingoda and Tandem better align with external reporting when learner and lesson events must be represented for operations.
Ignoring correction throughput variability when relying on community feedback
Busuu uses community feedback for writing and speaking submissions, but peer feedback throughput can vary across active topics. Lingoda provides teacher-led feedback that creates more predictable speaking interaction data points for reporting.
How We Selected and Ranked These Tools
We evaluated Duolingo, Babbel, Busuu, Rosetta Stone, Memrise, Lingoda, Pimsleur, Mondly, HelloTalk, and Tandem using features, ease of use, and value, and the overall rating is a weighted average in which features carries the most weight at 40%, while ease of use and value each account for 30%. Each tool received scoring based on concrete capabilities described in its workflow, including spaced repetition behavior, speaking feedback methods, and whether an API and automation surface supports onboarding and session management.
Integration depth, data model fit, automation reach, and admin governance controls were treated as feature-level signals because they determine whether speaking practice can be operated and reported outside the app. Duolingo separated from lower-ranked tools by combining a high features score with very high ease of use through per-skill spaced repetition scheduling that adjusts review timing based on tracked skill mastery, which directly supports consistent speaking and listening practice loops.
Frequently Asked Questions About Spanish Speaking Software
Which tool is best for guided Spanish practice driven by spaced repetition and in-app scheduling state?
Which Spanish speaking platform offers the deepest integration surface for provisioning learners and syncing learning state?
How do these tools handle SSO, RBAC, and audit logging for administrator governance?
What migration steps are required to move existing learner data into Spanish speaking software?
Which option is best when Spanish writing and speaking need human corrections mapped to skill targets?
Which tool supports conversation practice, but still keeps the workflow structured for tracking?
Which platform is best for learners who want audio-first, timed recall practice without LMS integration needs?
How does API-first automation differ from consumer-first practice loops across these tools?
Which tool makes it easiest to build custom automation around learner state signals and progress events?
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