ArticleHeliyon2024
Personalized adaptive learning in higher education: A scoping review of key characteristics and impact on academic performance and engagement.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial Intelligence for the Analysis of Biometric Data from Wearables in Education: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Concept mapping teaching method and nursing education: a systematic review and meta-analysis.BMC medical education · 2025Pooled it
- Enhancing anesthesia monitoring training: a SPOC and Gagné's model hybrid personalized by artificial intelligence.BMC medical education · 2026Trial
- Impact of mobile health interventions for mental health literacy: A systematic review and meta-analysis of randomized controlled trials.PLOS digital health · 2026Article
- Effectiveness of a scenario-based gamified virtual reality training on nurses' basic life support knowledge: a randomized controlled trial.BMC nursing · 2026Article
- Prompt engineering competence, knowledge management, and technology fit as drivers of educational sustainability through generative AI.Scientific reports · 2026Article
- Assessing Primary Care Physicians' Readiness for AI-Based Adaptive Learning: Perceptions, Barriers, and Learning Needs in Northern Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- AI-enabled learning analytics use relates to physical literacy and engagement in university PE via smart teaching and personalised feedback.Scientific reports · 2026Article
- AI-driven educational reform: enhancing talent cultivation in computer-related majors for the digital era.Frontiers in psychology · 2026Article
- Personalized Learning in Health Professions Education: A Comprehensive Review.Advances in medical education and practice · 2026Review
- Understanding AI adoption in medical education: Insights from students and faculty members in Indonesian medical schools.Journal of education and health promotion · 2026Article
- Temporal dynamics of students' physiological arousal in personalized learning contexts: a quasi-experimental study based on electrodermal activity.Frontiers in psychology · 2026Article
- What Are the Opportunities and Challenges of Using AI in Medical Education in Vietnam?JMIR medical education · 2025Article
- An evaluation of pre-post antimicrobial stewardship healthcare educational intervention studies utilizing the Kirkpatrick model: a scoping review.International journal of clinical pharmacy · 2025Article
- Promoting equitable access to infection prevention for people with different vulnerabilities: a scoping review.BMC nursing · 2025Article
- Exploring the Multidimensional Advantages of Productive Failure in Cultivating Clinical Thinking, Collaboration, Stress Management, and Learning Retention in Resident Physicians.Advances in medical education and practice · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Higher education institutions face persistent challenges of student retention and academic progress. Personalized adaptive learning has the potential to address these issues as it leverages educational technology to tailor learning pathways according to individual student needs. Objective: To elucidate the key characteristics of personalized adaptive learning in higher education and its impact on academic performance and engagement. Methods: The Joanna Briggs Institute scoping review methodology was followed. Key international databases were searched to retrieve articles. The titles and abstracts of selected studies were imported into Covidence. Peer-reviewed journal articles, theses, and dissertations focusing on undergraduate students engaged in personalized adaptive learning, published between 2012 and 2024 were included. Data was extracted and charted in Covidence. Results were summarised through a narrative synthesis and visually presented in a PRISMA-ScR flow diagram. Results: This review included 69 eligible studies. The findings reveal insights into the multifaceted nature of personalized adaptive learning, which include platforms, implementation strategies, perceived strengths and limitations by instructors and students. Pre-knowledge quizzes were reported as the most common indicator for activating adaptive content delivery, and McGraw-Hill's Connect LearnSmart and Moodle were the most utilized adaptive platforms. Improved academic performance was reported by 41 of the studies (n = 41, 59 %), and 25 studies (n = 25, 36 %) indicated increased student engagement. Conclusion: This study highlights the potential of personalized adaptive learning to positively impact academic performance, student engagement and learning, despite technological limitations. Further research is encouraged to address technological challenges, build on strengths and refine implementation and application of personalized adaptive learning in higher education.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.