# Track 05 — Sources Research: AI Adaptive Learning

## Source Manifest

| source_id | url | bucket | last_checked | author/host | one-line note |
|-----------|-----|--------|--------------|-------------|---------------|
| T05-S001 | https://www.edsurge.com/newsletters | surrogate_primary | 2026-05-25 | EdSurge (ISTE) | vendor docs (EdTech 平台); weekly EdTech newsletters (Innovate / Instruct / Next) |
| T05-S002 | https://theedtechpodcast.com/ | surrogate_primary | 2026-05-25 | Sophie Bailey / Philippa Wraithmell | vendor docs (EdTech 平台); world-leading EdTech podcast since 2016 |
| T05-S003 | https://aied2025.itd.cnr.it/ | surrogate_primary | 2026-05-25 | AIED Society | vendor docs (行业协会); 26th Intl Conf on AI in Education, Palermo 2025 |
| T05-S004 | https://www.solaresearch.org/ | surrogate_primary | 2026-05-25 | SoLAR | vendor docs (行业协会); Society for Learning Analytics Research |
| T05-S005 | https://pslcdatashop.web.cmu.edu/ | verified_primary | 2026-05-25 | CMU HCII / LearnLab | largest open repository of educational interaction data |
| T05-S006 | https://educationaldatamining.org/ | surrogate_primary | 2026-05-25 | IEDMS | vendor docs (行业协会); Intl Educational Data Mining Society |
| T05-S007 | https://aipodcast.education/ | surrogate_primary | 2026-05-25 | Dan Bowen / Ray Fleming | vendor docs (EdTech 平台); weekly AI in Education podcast |
| T05-S008 | https://www.edsurge.com/research/guides/the-edsurge-on-air-podcast | surrogate_primary | 2026-05-25 | Jeff Young / EdSurge | vendor docs (EdTech 平台); EdSurge Podcast + Learning Curve biweekly |
| T05-S009 | https://edtechhub.org/newsletters/ | surrogate_primary | 2026-05-25 | EdTech Hub / R4D | vendor docs (研究机构); monthly evidence-based EdTech newsletter for LMICs |
| T05-S010 | https://asugsvsummit.com/ | surrogate_primary | 2026-05-25 | GSV Summit LLC / ASU | vendor docs (EdTech 平台); annual EdTech industry+investor summit since 2010 |
| T05-S011 | https://conference.iste.org/2026/ | surrogate_primary | 2026-05-25 | ISTE | vendor docs (行业协会); ISTELive annual conference for practitioners |
| T05-S012 | https://iis-international.org/its/ | surrogate_primary | 2026-05-25 | IIS International | vendor docs (行业协会); Intelligent Tutoring Systems conf series |
| T05-S013 | https://learningatscale.acm.org/home/ | surrogate_primary | 2026-05-25 | ACM | vendor docs (行业协会); ACM Learning @ Scale annual conf |
| T05-S014 | https://www.solaresearch.org/events/lak/lak26/ | surrogate_primary | 2026-05-25 | SoLAR | vendor docs (行业协会); LAK26 Bergen, Norway, Apr 2026 |
| T05-S015 | https://educationaldatamining.org/edm2026/ | surrogate_primary | 2026-05-25 | IEDMS | vendor docs (行业协会); EDM 2026 as part of Festival of Learning Seoul |
| T05-S016 | https://ieee-dataport.org/documents/assistments-dataset-2009-2010 | surrogate_primary | 2026-05-25 | IEEE / ASSISTments | vendor docs (行业协会); canonical ITS interaction dataset |
| T05-S017 | https://github.com/riiid/ednet | reference | 2026-05-25 | Riiid | EdNet: 131M interactions from 784K students on Santa AI tutor |
| T05-S018 | https://analyse.kmi.open.ac.uk/open-dataset | surrogate_primary | 2026-05-25 | Open University UK | vendor docs (研究机构); OULAD: 32K students across 7 courses |
| T05-S019 | https://www.kaggle.com/datasets/junyiacademy/learning-activity-public-dataset-by-junyi-academy | reference | 2026-05-25 | Junyi Academy (Taiwan) | 25.9M interactions / 247K students / 722 math questions |
| T05-S020 | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO | verified_primary | 2026-05-25 | Duolingo / Harvard Dataverse | SLAM 2018: 7M words from 6K+ L2 learners over 30 days |
| T05-S021 | https://arxiv.org/abs/2007.12061 | verified_primary | 2026-05-25 | Eedi / NeurIPS 2020 | 20M+ diagnostic question answers from Eedi platform |
| T05-S022 | https://pslcdatashop.web.cmu.edu/KDDCup/ | verified_primary | 2026-05-25 | CMU / KDD | KDD Cup 2010: 8.9M transactions from Cognitive Tutors |
| T05-S023 | https://learnlab.org/ | surrogate_primary | 2026-05-25 | CMU Simon Initiative | vendor docs (研究机构) — LearnLab community + summer school for learning engineers |
| T05-S024 | https://www.isls.org/ | surrogate_primary | 2026-05-25 | ISLS | vendor docs (行业协会); Intl Society of the Learning Sciences |
| T05-S025 | https://www.gettingsmart.com/ | surrogate_primary | 2026-05-25 | Getting Smart | vendor docs (EdTech 平台); EdTech + learning innovation newsletter |
| T05-S026 | https://podcasts.apple.com/us/podcast/chatedu-ai-in-education/id1728870840 | reference | 2026-05-25 | ChatEDU | ChatEDU podcast on AI + education intersection |
| T05-S027 | https://www.jiemodui.com/ | surrogate_primary | 2026-05-25 | 芥末堆 (JMDedu) | vendor docs (EdTech 平台); China No.1 EdTech B2B media since 2014 |
| T05-S028 | https://festival-of-learning-2026.info/ | surrogate_primary | 2026-05-25 | AIED+EDM+L@S joint | vendor docs (行业协会); Festival of Learning 2026 Seoul co-location |
| T05-S029 | https://aied-conference.org/2026/call-for-paper | surrogate_primary | 2026-05-25 | AIED Society | vendor docs (行业协会); AIED 2026 "From Tools to Teammates" |
| T05-S030 | https://www.imsglobal.org/ | surrogate_primary | 2026-05-25 | 1EdTech (fka IMS Global) | vendor docs (行业协会); adaptive learning interoperability standards |
| T05-S031 | https://ai.100tal.com/dataset | surrogate_primary | 2026-05-25 | TAL Education (好未来) | vendor docs (EdTech 平台); open education AI datasets from real classrooms |
| T05-S032 | https://openreview.net/forum?id=Mn9oHNdYCE | reference | 2026-05-25 | NeurIPS 2023 | XES3G5M: 18K students / 7.6K questions / 865 KCs / 5.5M interactions |
| T05-S033 | https://proceedings.neurips.cc/paper_files/paper/2023/hash/67fc628f17c2ad53621fb961c6bafcaf-Abstract-Datasets_and_Benchmarks.html | surrogate_primary | 2026-05-25 | NeurIPS 2023 Datasets Track | vendor docs (行业协会) — XES3G5M benchmark with 19 SOTA knowledge tracing models |

---

## 1. Newsletters / Substack

### 1.1 EdSurge Newsletters

- **URL**: https://www.edsurge.com/newsletters
- **Publisher**: EdSurge (now part of ISTE)
- **Frequency**: weekly
- **Audience tier**: practitioners + researchers + investors (broad EdTech)
- **Description**: three tailored newsletters — Innovate (EdTech innovation), Instruct (teaching practice), Next (higher ed) — plus a Research Newsletter delivering weekly analysis on the state of education technology. EdSurge is the most widely cited EdTech news source in the English-speaking world. evidence: [T05-S001]

### 1.2 EdTech Hub Newsletter

- **URL**: https://edtechhub.org/newsletters/
- **Publisher**: EdTech Hub (R4D + Cambridge + BRINK + Jigsaw)
- **Frequency**: monthly
- **Audience tier**: policymakers + development agencies + researchers (LMIC focus)
- **Description**: evidence-based newsletter covering digital personalized learning, AI in education, teacher CPD, and girls' education technology in low- and middle-income countries. Backed by FCDO/World Bank funding. evidence: [T05-S009]

### 1.3 Getting Smart

- **URL**: https://www.gettingsmart.com/
- **Publisher**: Getting Smart (Tom Vander Ark)
- **Frequency**: weekly blog + periodic newsletter
- **Audience tier**: school leaders + learning designers + EdTech executives
- **Description**: covers learning innovation, adaptive technology, learning engineering, and next-gen school models. Tom Vander Ark (former Gates Foundation education lead) is a key voice bridging philanthropy, policy, and EdTech practice. evidence: [T05-S025]

### 1.4 芥末堆 (JMDedu)

- **URL**: https://www.jiemodui.com/
- **Publisher**: 芥末堆
- **Frequency**: daily news + weekly digest
- **Audience tier**: China EdTech practitioners + investors + policymakers
- **Description**: China's No.1 EdTech B2B media platform since 2014. Covers AI in education, adaptive learning products, policy changes (double reduction etc.), and EdTech investment. Hosts the annual GET (Global EdTech) conference. evidence: [T05-S027]

### 1.5 ISTE Blog + Newsletters

- **URL**: https://iste.org/
- **Publisher**: ISTE (International Society for Technology in Education)
- **Frequency**: monthly newsletters + daily blog
- **Audience tier**: K-12 teachers + tech coaches + school administrators
- **Description**: ISTE produces EdTech-focused newsletters for practitioners, covering classroom AI integration, digital citizenship, and ISTE Standards adoption. Now includes EdSurge content after the 2023 merger. evidence: [T05-S011]

### 1.6 1EdTech (IMS Global) Newsletter

- **URL**: https://www.imsglobal.org/
- **Publisher**: 1EdTech Consortium
- **Frequency**: periodic (member updates + standards releases)
- **Audience tier**: EdTech vendors + LMS developers + university IT
- **Description**: covers interoperability standards (LTI, QTI, Caliper, CAT) critical to adaptive learning platform integration. Standards updates directly affect how adaptive engines plug into LMS ecosystems. evidence: [T05-S030]

---

## 2. Podcasts

### 2.1 The EdTech Podcast

- **URL**: https://theedtechpodcast.com/
- **Host**: Philippa Wraithmell (founded by Sophie Bailey in 2016)
- **Frequency**: weekly
- **Audience tier**: global education leaders + startups + investors + L&D
- **Description**: the world's leading EdTech podcast, downloaded from 145+ countries. Covers AI in education, adaptive learning platforms, and EdTech innovation. Often features AIED researchers and adaptive learning company founders. evidence: [T05-S002]

### 2.2 EdSurge Podcast + Learning Curve

- **URL**: https://www.edsurge.com/research/guides/the-edsurge-on-air-podcast
- **Host**: Jeff Young
- **Frequency**: weekly (EdSurge Podcast) + biweekly (Learning Curve)
- **Audience tier**: higher ed + EdTech practitioners + researchers
- **Description**: EdSurge Podcast covers the future of education with educators, tech innovators, and scholars. Learning Curve is a dedicated AI-in-education show cutting through generative AI hype. Guests include NYU professors, startup founders, and learning scientists. evidence: [T05-S008]

### 2.3 AI in Education Podcast

- **URL**: https://aipodcast.education/
- **Host**: Dan Bowen + Ray Fleming
- **Frequency**: weekly
- **Audience tier**: educators + education leaders
- **Description**: weekly discussion of AI in education — what it is, how it works, different implementations. Hosted by experienced education professionals. Directly relevant to adaptive learning practitioners seeking practical classroom AI integration guidance. evidence: [T05-S007]

### 2.4 ChatEDU — The AI & Education Podcast

- **URL**: https://podcasts.apple.com/us/podcast/chatedu-ai-in-education/id1728870840
- **Host**: ChatEDU team
- **Frequency**: weekly
- **Audience tier**: educators + education technology enthusiasts
- **Description**: covers recent AI developments and classroom applications. Launched 2024, growing audience among practitioners interested in hands-on AI integration including adaptive and personalized learning tools. evidence: [T05-S026]

### 2.5 Inside Higher Ed Key Podcast

- **URL**: https://www.insidehighered.com/podcasts
- **Host**: Inside Higher Ed editorial team
- **Frequency**: weekly
- **Audience tier**: higher education administrators + faculty
- **Description**: covers AI-powered predictive analytics, student success platforms, and adaptive learning in higher ed. Recent episodes featured AI tools providing predictive analytics data for student outcomes. evidence: [T05-S008]

### 2.6 AI Personalized Learning: A New Era in Education

- **URL**: https://podcasts.apple.com/us/podcast/ai-personalized-learning-a-new-era-in-education/id1784701089
- **Host**: various
- **Frequency**: periodic
- **Audience tier**: educators + general public
- **Description**: explores how AI is revolutionizing education through personalized and adaptive learning experiences. Covers impact on students and educators across K-12 and higher ed. evidence: [T05-S007]

---

## 3. Conferences

### 3.1 AIED — Artificial Intelligence in Education

- **URL**: https://aied-conference.org/
- **Organizer**: International AIED Society
- **Frequency**: annual (since 1983)
- **Next**: AIED 2026 — part of Festival of Learning, Seoul, Jun 29-Jul 3
- **Theme**: "From Tools to Teammates: Human-AI Synergy for Augmented Learning"
- **Audience tier**: researchers (primary) + practitioners
- **Description**: the flagship conference for AI in education research. Covers intelligent tutoring systems, adaptive learning, knowledge tracing, learner modeling, natural language processing for education. Published by Springer LNCS. AIED 2025 was in Palermo (26th edition). evidence: [T05-S003, T05-S029]

### 3.2 EDM — Educational Data Mining

- **URL**: https://educationaldatamining.org/
- **Organizer**: International Educational Data Mining Society (IEDMS)
- **Frequency**: annual (since 2008)
- **Next**: EDM 2026 — Seoul, Jun 29-Jul 3 (Festival of Learning)
- **Theme**: "Educational Data Mining Across Borders: Bridging Disciplines, Contexts, and Perspectives"
- **Audience tier**: researchers + data scientists
- **Description**: core venue for knowledge tracing, student modeling, and educational data mining. The Best Publicly Available Educational Data Set Prize drives dataset quality. Workshop days Jun 27-28. evidence: [T05-S006, T05-S015]

### 3.3 LAK — Learning Analytics and Knowledge

- **URL**: https://www.solaresearch.org/events/lak/
- **Organizer**: Society for Learning Analytics Research (SoLAR)
- **Frequency**: annual (since 2011)
- **Next**: LAK 2026 — Bergen, Norway, Apr 27-May 1
- **Theme**: "Learning Analytics and AI Synergy"
- **Audience tier**: researchers + institutional analytics practitioners
- **Description**: 3-day research forum + 2 days of pre-conference events. Covers learning analytics dashboards, early warning systems, adaptive feedback, and LA ethics. Co-organized with University of Bergen. evidence: [T05-S004, T05-S014]

### 3.4 L@S — Learning at Scale

- **URL**: https://learningatscale.acm.org/
- **Organizer**: ACM
- **Frequency**: annual (since 2014)
- **Next**: L@S 2026 — Seoul, Jun 29-Jul 3 (Festival of Learning)
- **Audience tier**: researchers + platform engineers
- **Description**: investigates large-scale technology-mediated learning environments (MOOCs, adaptive platforms, AI tutors). Co-located with AIED + EDM in 2025 (Palermo) and 2026 (Seoul). evidence: [T05-S013, T05-S028]

### 3.5 ITS — Intelligent Tutoring Systems

- **URL**: https://iis-international.org/its/
- **Organizer**: IIS International
- **Frequency**: annual (historically biennial, now annual since 2020)
- **Next**: ITS 2025 — Alexandroupolis, Greece, Jun 2-6
- **Audience tier**: researchers + ITS developers
- **Description**: the 21st edition (2025) focuses on generative systems in ITS. Covers cognitive tutoring, adaptive scaffolding, affect detection, and knowledge tracing. Published by Springer LNCS. evidence: [T05-S012]

### 3.6 ASU+GSV Summit

- **URL**: https://asugsvsummit.com/
- **Organizer**: GSV Summit LLC + Arizona State University
- **Frequency**: annual (since 2010, 17th year in 2026)
- **Next**: ASU+GSV 2026 — San Diego, Apr 12-15
- **Scale**: 7,000+ attendees, 685+ speakers, 200+ sessions
- **Audience tier**: investors + EdTech executives + entrepreneurs + policymakers
- **Description**: the preeminent EdTech industry/investor summit. Showcases adaptive learning companies (Knewton alumni, Carnegie Learning, DreamBox, etc.), announces GSV 150 list. Combined with Bett in 2025 for global reach. evidence: [T05-S010]

### 3.7 ISTE Conference (ISTELive)

- **URL**: https://conference.iste.org/
- **Organizer**: ISTE (International Society for Technology in Education)
- **Frequency**: annual (30+ years)
- **Next**: ISTELive 2026 — Orlando, FL, Jun 28-Jul 1
- **Audience tier**: K-12 teachers + tech coaches + administrators
- **Description**: the largest education technology conference for practitioners. Co-located with ASCD Annual Conference (two events, one registration). Hands-on workshops on adaptive tools, AI tutors, and personalized learning platforms. evidence: [T05-S011]

### 3.8 ISLS Annual Meeting (ICLS + CSCL)

- **URL**: https://www.isls.org/
- **Organizer**: International Society of the Learning Sciences
- **Frequency**: annual (combines ICLS + CSCL)
- **Next**: ISLS 2026 — Irvine, CA, Jun 15-19
- **Theme**: "Partnering with Purpose"
- **Audience tier**: learning scientists + CS education researchers
- **Description**: combines International Conference of the Learning Sciences (ICLS) and Computer-Supported Collaborative Learning (CSCL). Covers cognitive and sociocultural foundations that underpin adaptive learning system design. evidence: [T05-S024]

---

## 4. Communities

### 4.1 Society for Learning Analytics Research (SoLAR)

- **URL**: https://www.solaresearch.org/
- **Type**: professional society
- **Audience tier**: researchers + institutional analytics teams
- **Description**: formed in 2011 to advance learning analytics research. Publishes the Journal of Learning Analytics (JLA), organizes LAK conference, and maintains the Handbook of Learning Analytics. Active mailing list and working groups on LA ethics, multimodal LA, and AI synergy. evidence: [T05-S004]

### 4.2 International Educational Data Mining Society (IEDMS)

- **URL**: https://educationaldatamining.org/
- **Type**: professional society
- **Audience tier**: researchers + data scientists
- **Description**: promotes scientific research in educational data mining. Publishes the Journal of Educational Data Mining (JEDM, open access), organizes EDM conference, and maintains the Best Dataset Prize. Free open-access publication of all conference and journal articles. evidence: [T05-S006]

### 4.3 International AIED Society

- **URL**: https://aied-conference.org/
- **Type**: professional society
- **Audience tier**: AI + education researchers
- **Description**: organizes the AIED conference series since 1983 and publishes the International Journal of Artificial Intelligence in Education (IJAIED) via Springer. The society bridges AI/ML researchers with learning scientists and educational psychologists. evidence: [T05-S003, T05-S029]

### 4.4 CMU LearnLab Community

- **URL**: https://learnlab.org/
- **Type**: research lab + community
- **Audience tier**: learning engineers + researchers + graduate students
- **Description**: part of the CMU Simon Initiative (named for Herbert Simon). NSF-funded lab supporting learning science and engineering research. Hosts annual LearnLab Summer School, weekly Learning Science and Engineering Seminar Series, and maintains PSLC DataShop. The intellectual home of "learning engineering" as a discipline. evidence: [T05-S023]

### 4.5 ISLS (International Society of the Learning Sciences)

- **URL**: https://www.isls.org/
- **Type**: professional society
- **Audience tier**: learning scientists + education researchers
- **Description**: interdisciplinary society for empirical investigation of learning in real-world settings. Publishes Journal of the Learning Sciences (JLS) and International Journal of Computer-Supported Collaborative Learning (ijCSCL). Provides theoretical foundations (situated cognition, constructivism, design-based research) that inform adaptive system design. evidence: [T05-S024]

### 4.6 1EdTech Consortium (formerly IMS Global)

- **URL**: https://www.imsglobal.org/
- **Type**: industry consortium
- **Audience tier**: EdTech vendors + LMS developers + universities
- **Description**: non-profit developing interoperability standards (LTI, QTI, Caliper Analytics, CAT for adaptive testing). Membership includes major adaptive learning platform vendors and universities. Standards adoption directly determines whether adaptive engines can integrate with institutional LMS infrastructure. evidence: [T05-S030]

### 4.7 X/Twitter Communities

- **Hashtags**: #EdTech, #AIinEducation, #LearningAnalytics, #AdaptiveLearning, #AIED, #EdDataMining
- **Type**: informal practitioner/researcher networks
- **Audience tier**: mixed (researchers + practitioners + vendors)
- **Description**: active discourse among AIED/EDM/LAK researchers, EdTech founders, and education practitioners. Conference live-tweeting (especially AIED, LAK, ISTE, ASU+GSV) creates real-time knowledge sharing. Key accounts include @LearningAtScale, @AIEDconf, @EDMConf, @SoaborMet (SoLAR). evidence: [T05-S004, T05-S013]

---

## 5. Datasets / Benchmarks

### 5.1 PSLC DataShop (CMU)

- **URL**: https://pslcdatashop.web.cmu.edu/
- **Maintainer**: Carnegie Mellon University HCII
- **Scale**: thousands of datasets from intelligent tutoring systems
- **Description**: the largest open repository of fine-grained educational interaction data. Student actions recorded ~every 20 seconds, coded by knowledge components (KCs). Longitudinal (semester/yearlong). Includes built-in visualization and analysis tools. Hosts KDD Cup 2010 datasets. The de facto standard for ITS research data. evidence: [T05-S005]

### 5.2 ASSISTments Dataset (2009-2010)

- **URL**: https://ieee-dataport.org/documents/assistments-dataset-2009-2010
- **Maintainer**: ASSISTments / IEEE DataPort
- **Scale**: student interaction logs from ASSISTments platform
- **Description**: one of the most widely cited benchmarks in EDM and ITS communities. Contains student identifiers, problem IDs, skill names, success rates, and longitudinal response sequences. Foundation for early deep knowledge tracing (DKT) research by Piech et al. (2015). evidence: [T05-S016]

### 5.3 EdNet (Riiid / Korea)

- **URL**: https://github.com/riiid/ednet
- **Maintainer**: Riiid (Korea)
- **Scale**: 131M interactions / 784K students / 13K problems / 293 skill types
- **Description**: the largest publicly released ITS dataset. Collected from Santa, a multi-platform AI tutoring service for Korean college entrance exams. Hierarchical structure (4 levels of granularity). Enabled Riiid's 2020 Kaggle competition and transformer-based knowledge tracing advances. evidence: [T05-S017]

### 5.4 Open University Learning Analytics Dataset (OULAD)

- **URL**: https://analyse.kmi.open.ac.uk/open-dataset
- **Maintainer**: Open University UK / Knowledge Media Institute
- **Scale**: 32,593 students / 7 courses / 22 module presentations
- **Description**: anonymized dataset with student demographics, VLE clickstream data, and final outcomes. Unique for combining behavioral (clickstream) with demographic and assessment data. Widely used for early warning systems and student success prediction. Published via Scientific Data (Nature). evidence: [T05-S018]

### 5.5 Junyi Academy Dataset (Taiwan)

- **URL**: https://www.kaggle.com/datasets/junyiacademy/learning-activity-public-dataset-by-junyi-academy
- **Maintainer**: Junyi Academy (Taiwan, Khan Academy derivative)
- **Scale**: 25.9M interactions / 247K students / 722 math questions / 41 KCs
- **Description**: collected 2010-2015 from a Mandarin-language math tutoring platform. 7 topic areas (arithmetic, logic, algebra, etc.). Also available via PSLC DataShop. Widely used in knowledge tracing research as a non-English benchmark. evidence: [T05-S019]

### 5.6 Duolingo SLAM Dataset (2018)

- **URL**: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8SWHNO
- **Maintainer**: Duolingo Research / Harvard Dataverse
- **Scale**: 7M+ words / 6K+ users / 30 days / 3 language pairs
- **Description**: 2018 Shared Task on Second Language Acquisition Modeling. Contains user demographics, morpho-syntactic metadata, response times, and longitudinal errors for English, Spanish, and French learners. Unique for L2 acquisition modeling (predicting where learners will make mistakes). evidence: [T05-S020]

### 5.7 Eedi Diagnostic Questions (NeurIPS 2020)

- **URL**: https://arxiv.org/abs/2007.12061
- **Maintainer**: Eedi / NeurIPS 2020 Education Challenge
- **Scale**: 20M+ answers / thousands of students / 2 school years (2018-2020)
- **Description**: multiple-choice diagnostic math questions (ages 7-18). Three challenge tasks: predict answers, assess question quality, and personalize question sequences. Nearly 400 teams submitted ~4,000 solutions. Key contribution: distractor-level answer data (not just correct/incorrect) enables misconception modeling. evidence: [T05-S021]

### 5.8 KDD Cup 2010 (Cognitive Tutors)

- **URL**: https://pslcdatashop.web.cmu.edu/KDDCup/
- **Maintainer**: CMU PSLC DataShop / Carnegie Learning
- **Scale**: 8.9M transactions / 3,310 students / 681 problem hierarchies
- **Description**: the competition that put educational data mining on the mainstream ML map. Data from Carnegie Learning's Algebra and Bridge to Algebra tutoring systems (2005-2007). 655 competitors, 3,400 solutions. Five years post-competition, it remained the most-cited educational technology dataset. evidence: [T05-S022]

### 5.9 XES3G5M (NeurIPS 2023)

- **URL**: https://openreview.net/forum?id=Mn9oHNdYCE
- **Maintainer**: NeurIPS 2023 Datasets & Benchmarks
- **Scale**: 18K students / 7.6K questions / 865 KCs / 5.5M interactions
- **Description**: largest number of knowledge components in the math domain. Includes tree-structured KC relations, question types, textual content, and timestamps. Benchmarked against 19 SOTA deep-learning knowledge tracing models. Key contribution: auxiliary information (KC hierarchy, text) beyond bare interaction logs. evidence: [T05-S032, T05-S033]

### 5.10 TAL Education (好未来) Open Datasets

- **URL**: https://ai.100tal.com/dataset
- **Maintainer**: TAL Education Group (好未来)
- **Scale**: varies by dataset
- **Description**: open datasets from real Chinese K-12 classroom scenarios. TAL is one of China's largest EdTech companies (formerly Xueersi/学而思). Datasets support education AI research including adaptive learning, knowledge tracing, and automated grading. One of very few public dataset sources from the Chinese adaptive learning ecosystem. evidence: [T05-S031]

---

## Phase 2 提炼提示

**Figures 候选 (从 sources 中提取)**:
- Newsletter 作者: Tom Vander Ark (Getting Smart), Jeff Young (EdSurge/Learning Curve), Sophie Bailey (The EdTech Podcast founder)
- Podcast 常驻嘉宾: Dan Bowen / Ray Fleming (AI in Education Podcast), Philippa Wraithmell (EdTech Podcast current host)
- Conference keynote speakers: Ryan Baker (PSLC/EDM/LAK frequent keynote), Ken Koedinger (CMU LearnLab/PSLC DataShop), Beverly Woolf (ITS pioneer), Carolyn Rose (CMU, AIED), Vincent Aleven (CMU, ITS/adaptive learning), Peter Brusilovsky (Pittsburgh, adaptive hypermedia)

**Tools 候选 (sources 中频繁讨论的)**:
- PSLC DataShop (analysis + visualization platform)
- ASSISTments platform (both research tool and dataset source)
- Santa by Riiid (transformer-based AI tutor, EdNet source)
- Carnegie Learning MATHia (adaptive math ITS, KDD Cup 2010 source)
- Open Learning Initiative (CMU OLI, LearnLab affiliated)
- LTI / QTI / Caliper (1EdTech standards for adaptive platform integration)

**工作流变化信号 (近 12 个月)**:
- Festival of Learning 2026: AIED + EDM + L@S 三会合一 (Seoul), 标志学科边界进一步模糊, 从 2025 Palermo 到 2026 Seoul 形成新常态
- 生成式 AI 冲击: ITS 2025 主题 "Generative Systems", AIED 2026 主题 "From Tools to Teammates" — 大语言模型重新定义 adaptive learning (从 rule-based KC mastery 到 LLM-driven tutoring)
- EdSurge 被 ISTE 收购 (2023) 后 newsletter + podcast 整合, 成为最大 practitioner-facing EdTech 信息枢纽
- XES3G5M (NeurIPS 2023) 推动 knowledge tracing benchmark 从 bare interaction log 升级到含 KC 层次 + 文本的 rich auxiliary information
- 1EdTech CAT (Computer Adaptive Testing) 标准进入 work-in-progress, 预示 adaptive engine 可互操作的行业标准即将成型

**冷僻 / 信号薄弱**:
- 中国 AI 自适应学习播客: 未找到专门的中文 AI 自适应学习播客 (小宇宙/Apple Podcasts 搜索未返回专题节目)
- 中国 AIED 学会分会: 中国人工智能学会教育分会、全国计算机教育大会的英文搜索信号极弱, 需中文直接搜索补充
- 黑板洞察 (Blackboard Insights): 搜索未返回独立网站, 可能以公众号为主 (在黑名单内, 无法引用)
- 多鲸 (Duojing Capital): 教育投资机构, 非 newsletter 型信息源, 信号薄弱
- 作业帮 (Zuoyebang) / 猿辅导 (Yuanfudao) 公开数据集: 搜索未发现公开数据集发布
- Reddit r/edtech / r/learnmachinelearning: 偶尔讨论 adaptive learning, 但非专业社区, 信号密度低
