Artificial Intelligence Music Platform for Piano Majors Improves Learning and Reduces Anxiety: Randomized Study with Heart Rate Variability Cues

Summary

This protocol describes a randomized workflow in which an AI-driven music education platform with HRV-informed micro-interventions and visualization-based feedback is used to improve music-theory learning and reduce state anxiety in undergraduate piano majors.

Abstract

Artificial intelligence (AI) is increasingly applied in music pedagogy, yet reproducible workflows that jointly evaluate knowledge acquisition and anxiety regulation remain limited. This protocol describes a randomized controlled workflow for implementing an AI-driven music education platform within routine studio-class teaching and assessing its effects in undergraduate piano majors. Participants are screened and randomly allocated to an AI-driven platform or traditional instruction for 2 weeks (twelve 30-min sessions). Outcomes include a structured music-theory/analysis test and the State-Trait Anxiety Inventory–State (STAI-S; 20 items, 4-point scale; total 20–80). Heart-rate variability (HRV) is recorded during a 5-min seated rest and a 5-min standardized practice segment; primary indices include the root mean square of successive differences of normal-to-normal intervals (RMSSD; short-term vagal activity), the standard deviation of normal-to-normal intervals (SDNN; overall variability), and high-frequency (HF) power (parasympathetic-related spectral component). The protocol enables instructors and researchers to deploy the platform and follow a standardized sequence covering participant screening, randomization execution, platform setup/configuration, HRV sensor placement and recording, artifact handling and HRV computation, administration/scoring of all outcome measures, and final data export, file naming, and secure storage for statistical analysis. Analyses use independent-samples t-tests and analysis of covariance (ANCOVA) with baseline as a covariate. Representative results show higher adjusted post-test theory performance in the AI-driven arm (partial η² = 0.206) and lower post-intervention state anxiety (t(38) = −3.486, p = 0.001; Cohen’s d ≈ 1.10) than controls, with HRV patterns providing physiological context and secondary cognitive-load outcomes indicating reduced extraneous load.

Introduction

In contemporary higher music education, instructional goals extend beyond knowledge transmission to include students’ psychological well-being and sustainable development as performers. Piano majors routinely train under repeated evaluative pressure from juries, competitions, auditions, and public recitals, where anxiety can disrupt attentional control and degrade performance quality¹.

Music performance anxiety (MPA) and examination-related anxiety are consistently reported in conservatory and university samples, and high prevalence estimates have been documented across different cohorts and measurement approac....

Protocol

The study protocol was approved by the Institutional Review Board of the School of Arts, Jingchu Technology University (Approval No.: JCTU-ARTS-2025-013). Written informed consent was obtained from all participants prior to enrollment.

Registration of participants
Obtain written informed consent prior to enrollment after each potential participant receives a written and oral explanation of study objectives, procedures, potential risks and benefits, confidentiality, and data-handling arrangements. Store signed consent forms separately from research data in a locked cabinet or an encrypted digital archive with restricte....

Results

Effects on music-theory cognition
As shown in Table 1, the Experimental group (M = 72.45, SD = 6.83, n = 20) and the Control group (M = 71.30, SD = 7.14, n = 20) did not differ at pre-test, t(38) = 0.625, p = 0.604, indicating baseline comparability for the primary cognitive endpoint. After the intervention, ANCOVA controlling for pre-test scores showed higher adjusted post-test means in the Experimental group than in the Control group (adjusted M = 84.95 vs. 78.75; Table 2

Discussion

This randomized study evaluated an AI-driven music-education platform that integrates personalized practice analytics, multimodal emotion recognition with just-in-time micro-interventions, and visualization-based feedback. Relative to traditional instruction, the Experimental arm showed a moderate-to-large gain in music-theory and analysis performance (partial η² = 0.206) and a large reduction in state anxiety (t = −3.486, p = 0.001; d ≈ 1.10), accompanied by a more favorable cognitive-load pr.......

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
AI-driven music-education platform (research build)	In-house / Institutional	Platform build ID: v2.1 (build 2025-01-15)	Interactive score + practice telemetry + dashboards + rule-based trigger engine; telemetry update interval = 200 ms; export logs as CSV.
Alcohol wipes (skin prep)	NA (any medical supplier)	NA	For improving electrode/strap contact and signal stability; record lot if available.
Chest-strap ECG HRV sensor (1000 Hz)	Polar Electro	Polar H10; Part No. 92075957	ECG-derived R–R intervals; sampling frequency = 1000 Hz (per your protocol); used for 5-min rest + 5-min standardized practice segments.
Cognitive Load Questionnaire (Leppink, 10 items)	NA (publication source)	NA	7-point Likert; compute 3 subscales; if translated: translation–back-translation + pilot n=10; report Cronbach’s α by subscale.
Computer for platform operation and logging	NA	NA	Any modern laptop/desktop; record OS version; ensure time sync for log timestamps.
Data storage (encrypted drive / secure server)	NA	NA	Access-controlled; automated backups; file naming: “P###_TP(pre/post)_MOD(…)_YYYYMMDD_HHMM”; store raw + derived outputs.
ECG electrode gel / conductive gel (optional)	NA (any medical supplier)	NA	Use if signal quality is unstable; document usage yes/no in session log.
External microphone (if using mic + interface instead of recorder)	Audio-Technica	AT2020	Optional alternative to portable recorder; keep mic distance 0.8 m; avoid clipping; document gain settings.
HRV processing software	Kubios (or equivalent)	NA	Must support artifact detection + interpolation, RMSSD/SDNN, Welch HF (0.15–0.40 Hz) with 120-s window, 50% overlap, Hamming window, 4 Hz resampling; record software name/version used.
Metronome	Korg	MA-2 BLBK	Used to standardize practice tempo (76 bpm) and support consistent timing across sessions.
Portable audio recorder (voice capture)	Zoom	H1n	Record voice audio capture at 16 kHz mono (downsample if recorded higher); store as WAV; keep mic placement constant.
Power analysis software	G*Power	3.1 (or later)	Used for a priori power analysis; record test family/model settings in the power-analysis output file.
Practice-partner large language model (LLM) service	Institutional / Secure API provider	LLM-PracticePartner v2.1 (build 2025-01-15)	Endpoint type: cloud; token-based authentication; store only anonymized IDs; log prompts/outputs as encrypted text.
Questionnaire: GAD-7	NA (licensed/publication source)	NA	Use validated language version; scoring per manual; keep copies in study binder; store responses by anonymized ID.
Questionnaire: STAI-S (20 items)	NA (licensed/publisher)	NA	Use official/validated language version; total 20–80; if showing 10-item subset for figures, document selection rule + reliability in Results.
Statistical analysis software	IBM	SPSS Statistics 26.0	Used for ANCOVA and t-tests; record exact version/build in analysis log.
Tripod / camera mount	Manfrotto (or equivalent)	NA	Any stable tripod acceptable; fix distance/height across sessions (e.g., 1.8 m distance, 1.4 m height). If you have a confirmed model, replace NA with your lab’s model number.
USB audio interface (if using mic + interface)	Focusrite	Scarlett 2i2 (3rd Gen)	Optional; target recording peaks between −12 dB and −6 dB during forte passages (per your protocol text).
Video camera (1080p, 30 fps)	Logitech	C920; Part No. 960-001055	Facial video capture = 1920×1080, 30 fps (as specified in protocol); ensure no identifiable info displayed.
Weighted-key digital piano (or acoustic piano)	NA	NA	88-key weighted action recommended; keep same instrument for all sessions; document instrument type and key action.