Half of Higher Ed Institutions Now Use AI for Outcomes Tracking, But Most Lag in Implementing Comprehensive Learner Records
Instructure and UPCEA released a survey on AI adoption and credentialing in higher education. Key findings include:
- 49% of institutions don't use AI-driven tools, while 31% do
- Among AI users, 52% use predictive analytics and AI-driven feedback systems
- Top challenges: academic integrity (71%), data privacy (57%), insufficient training (52%)
- Only 3% of institutions have implemented Comprehensive Learner Records (CLRs)
- Digital credentials are influenced by strategic goals (55%), student demand (52%), and employer demand (45%)
The survey highlights the potential of AI in improving student success but also reveals concerns about its implementation. Institutions are advised to invest in training and internal champions to effectively use AI-powered tools.
Instructure e UPCEA hanno pubblicato un sondaggio sull'adozione dell'IA e la certificazione nell'istruzione superiore. Le principali scoperte includono:
- 49% delle istituzioni non utilizzano strumenti alimentati dall'IA, mentre 31% lo fanno
- Tra gli utenti di IA, 52% utilizzano analisi predittive e sistemi di feedback basati su IA
- Le principali sfide: integrità accademica (71%), privacy dei dati (57%), formazione insufficiente (52%)
- Solo 3% delle istituzioni hanno implementato registri completi degli studenti (CLR)
- Le credenziali digitali sono influenzate dagli obiettivi strategici (55%), dalla domanda degli studenti (52%) e dalla domanda dei datori di lavoro (45%)
Il sondaggio mette in evidenza il potenziale dell'IA nel migliorare il successo degli studenti, ma rivela anche preoccupazioni sulla sua implementazione. Si consiglia alle istituzioni di investire in formazione e sostenitori interni per utilizzare efficacemente gli strumenti basati su IA.
Instructure y UPCEA han publicado una encuesta sobre la adopción de la IA y la credencialización en la educación superior. Los hallazgos clave incluyen:
- 49% de las instituciones no utilizan herramientas impulsadas por IA, mientras que 31% sí lo hacen
- Entre los usuarios de IA, 52% utilizan analítica predictiva y sistemas de retroalimentación basados en IA
- Principales desafíos: integridad académica (71%), privacidad de datos (57%), formación insuficiente (52%)
- Solo 3% de las instituciones han implementado Registros Completos de Aprendizaje (CLR)
- Las credenciales digitales están influenciadas por objetivos estratégicos (55%), demanda estudiantil (52%) y demanda de empleadores (45%)
La encuesta destaca el potencial de la IA para mejorar el éxito estudiantil, pero también revela preocupaciones sobre su implementación. Se aconseja a las instituciones invertir en capacitación y en defensores internos para utilizar eficazmente herramientas impulsadas por IA.
Instructure와 UPCEA는 고등 교육에서 AI 채택 및 자격 인증에 대한 설문조사를 발표했습니다. 주요 결과는 다음과 같습니다:
- 49%의 기관이 AI 기반 도구를 사용하지 않고, 31%는 사용하고 있습니다
- AI 사용자 중 52%가 예측 분석 및 AI 기반 피드백 시스템을 사용합니다
- 주요 도전 과제: 학문적 무결성 (71%), 데이터 프라이버시 (57%), 훈련 부족 (52%)
- 단지 3%의 기관만이 포괄적인 학습 기록(CLR)을 구현했습니다
- 디지털 인증서는 전략적 목표(55%), 학생 수요(52%), 고용주 수요(45%)의 영향을 받습니다
이 설문조사는 학생 성공 향상을 위한 AI의 잠재력을 강조하지만, 그 구현에 대한 우려도 드러냅니다. 기관은 AI 기반 도구를 효과적으로 사용하기 위해 교육과 내부 지지자를 투자할 것을 권장합니다.
Instructure et UPCEA ont publié une enquête sur l'adoption de l'IA et la certification dans l'enseignement supérieur. Les principaux résultats incluent :
- 49% des institutions n'utilisent pas d'outils basés sur l'IA, tandis que 31% le font
- Parmi les utilisateurs d'IA, 52% utilisent des analyses prédictives et des systèmes de feedback alimentés par l'IA
- Principaux défis : intégrité académique (71%), confidentialité des données (57%), formation insuffisante (52%)
- Seulement 3% des institutions ont mis en œuvre des dossiers d'apprentissage complets (CLR)
- Les certificats numériques sont influencés par des objectifs stratégiques (55%), la demande des étudiants (52%) et la demande des employeurs (45%)
L'enquête souligne le potentiel de l'IA pour améliorer le succès des étudiants, mais révèle également des préoccupations quant à sa mise en œuvre. Il est conseillé aux institutions d'investir dans la formation et des champions internes pour utiliser efficacement les outils alimentés par l'IA.
Instructure und UPCEA haben eine Umfrage zur Einführung von KI und zur Zertifizierung in der Hochschulbildung veröffentlicht. Die wichtigsten Ergebnisse sind:
- 49% der Institutionen verwenden keine KI-gestützten Tools, während 31% dies tun
- Unter den KI-Nutzern verwenden 52% prädiktive Analysen und KI-gestützte Feedbacksysteme
- Hauptherausforderungen: akademische Integrität (71%), Datenschutz (57%), unzureichende Schulung (52%)
- Nur 3% der Institutionen haben umfassende Lernunterlagen (CLR) implementiert
- Digitale Zertifikate werden von strategischen Zielen (55%), Nachfrage der Studenten (52%) und Nachfrage der Arbeitgeber (45%) beeinflusst
Die Umfrage hebt das Potenzial von KI zur Verbesserung des studentischen Erfolgs hervor, zeigt aber auch Bedenken hinsichtlich ihrer Implementierung auf. Institutionen wird geraten, in Schulungen und interne Fürsprecher zu investieren, um KI-gestützte Werkzeuge effektiv zu nutzen.
- 31% of institutions are using AI-driven tools for learner outcomes and management
- 52% of AI users utilize predictive analytics and AI-driven feedback systems
- 55% of institutions issuing digital credentials are influenced by strategic goals
- Certificates saw a 3.9% increase from the 2021-2022 academic year to 2022-2023
- 49% of institutions do not use AI-driven tools for learner outcomes and management
- Only 3% of institutions have implemented Comprehensive Learner Records (CLRs)
- 71% of respondents cite academic integrity as a top challenge with AI tools
- 57% of respondents express concerns about data privacy with AI tools
- Traditional bachelor's and associate degrees declined in the last academic year
Insights
This survey reveals a significant gap between interest and adoption of AI technologies in higher education. While
Key challenges include academic integrity concerns (
For Instructure (INST), this presents both opportunities and challenges. The company could capitalize on the growing demand for AI-driven educational tools and digital credentialing systems. However, they'll need to address concerns about academic integrity and data privacy to increase adoption rates among higher education institutions.
The survey highlights critical ethical concerns surrounding AI adoption in higher education. Academic integrity issues top the list at
The low adoption rate of Comprehensive Learner Records (CLRs) at
For Instructure (INST), developing AI solutions that address these ethical concerns could be a significant differentiator in the market. Emphasizing responsible AI use and providing tools that protect student privacy while enhancing learning outcomes could position the company as a leader in ethical edtech solutions.
Survey conducted by Instructure and UPCEA explores the intersection of AI and credentialing in Higher Education
Among institutions using AI, typical uses include predictive analytics and feedback mechanisms. Yet, persistent issues like academic integrity, data privacy and inadequate training pose significant challenges. Implementation of digital comprehensive learner records is still sparse across institutions, though some are starting to adopt them. In contrast, digital credentials are increasingly issued and influenced by strategic objectives, student demand and employers' need for skills validation.
Below are some of the key findings:
45% of respondents work in academic technology,42% in learning design,16% in information technology and12% in student support roles. The breakdown by institution size is:40% from small,30% from medium and30% from large institutions.61% of respondents are highly involved in developing learner experiences and tracking outcomes;36% are somewhat involved.49% of participants report their institution does not use AI-driven tools;31% do use them, and21% are unsure.- Among users of AI tools:
52% use predictive analytics,52% use AI-driven feedback systems,39% use adaptive learning platforms and39% use simulated classroom experiences. - Top challenges with AI tools include academic integrity concerns (
71% ), data privacy (57% ), insufficient training (52% ), and tool effectiveness (52% ). - Among those who said their institution issues digital credentials,
55% said strategic institutional goals have influenced the adoption of these credentials,52% said student demand for digital credentials and45% said employer demand for skills validation.
"This research indicates institutional staff recognize the potential benefits AI technology offers, especially for improving student success," said Melissa Loble, chief academic officer at Instructure. "To address academic integrity or quality concerns about AI-driven tools, institutions can invest in training for staff and faculty on AI-powered tools, enabling education professionals to use them effectively and ethically. Institutions need internal champions who have the freedom and latitude to test the limits of these systems and their impact on learner outcomes and records."
The Challenges and Benefits of AI in Higher Ed
The implementation of AI-driven tools in higher education is still in its early phases. It's clear that institutional staff either are still learning how to incorporate the tools into the learning process or are encountering obstacles in optimizing their use. Incorporating AI into academic processes is a recent development, and like any new technology, it often faces initial reluctance and doubts about its efficacy. The introduction of AI in higher education has generated varied reactions, with users seeing both benefits and obstacles. On the positive side, AI can enrich personalized learning, deliver data-driven insights and provide academic support. Yet, challenges such as accuracy, intellectual property concerns, copyright issues and a lack of transparency remain significant considerations.
"Digital comprehensive learner records could act as a passport for learners, allowing them to travel through the course of their educational lifetime, obtaining stamps of knowledge sets and skill bases," said Bruce Etter, senior director of research & consulting at UPCEA. "As a community, we have work to do to eliminate barriers to creating digital CLRs, such as resource limitations, staff readiness and resistance to change."
Comprehensive Learner Records (CLR) & Learner Outcomes
Higher education has experienced significant changes over the past few years as institutions have adopted new types of credentials and online learning methods, including integrating AI technologies into their curricula and administrative processes. More students are now opting for badges, certificates and alternative credentials, allowing them to pursue higher education without enrolling in full degree programs. Although traditional bachelor's and associate degrees declined last academic year, certificates saw a
Survey Methodology and Objective
The survey was conducted by UPCEA and Instructure to better understand how institutions are leveraging AI to improve learner outcomes and learner records. The survey aimed to understand respondent perspectives, challenges and obstacles associated with these systems and the adoption of AI-driven tools. The survey took place from May 13 to June 26, 2024. It was sent to members of both UPCEA and Instructure. Overall, the survey was sent to 4,407 individuals. Eighty-six participated in the study, and 70 completed the entire survey.
FORWARD-LOOKING STATEMENTS
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ABOUT INSTRUCTURE
Instructure (NYSE: INST) powers the delivery of education globally and provides learners with the rich credentials they need to create opportunities across their lifetimes. Today, the Instructure ecosystem of products enables educators and institutions to elevate student success, amplify the power of teaching, and inspire everyone to learn together. With our global network of learners, educators, partners and customers, we continue to deliver on our vision to be the platform that powers learning for a lifetime and turns that learning into opportunities. We encourage you to discover more at www.instructure.com.
About UPCEA
UPCEA is the online and professional education association. Our members are continuously reinventing higher education, positively impacting millions of lives. We proudly lead and support them through cutting edge research, professional development, networking and mentorship, conferences and seminars, and stakeholder advocacy. Our collaborative, entrepreneurial community brings together decision makers and influencers in education, industry, research, and policy interested in improving educational access and outcomes. Learn more at upcea.edu.
CONTACT:
Brian Watkins
Corporate Communications
Instructure
(801) 658-7525
brian.watkins@instructure.com
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FAQ
What percentage of higher education institutions use AI for outcomes tracking according to the Instructure and UPCEA survey?
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