AI-driven talent cultivation reform framework with five interconnected components

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The article proposes a comprehensive reform framework for computer-related majors grounded in the new engineering philosophy, integrating AI across curriculum, pedagogy, and practical training. As printed, "The framework is structured around five core components: curriculum restructuring, smart teaching integration, interdisciplinary and collaborative talent cultivation, practice-based learning enhancement, and multi-dimensional evaluation." The components form an interconnected system intended to deliver AI-empowered talent cultivation with academic depth and industrial relevance, and the framework was phased in across four undergraduate programs as a replicable model.

Design Implications

Context

Requirements

• AI technologies must be systematically embedded across curriculum structures, instructional processes, and practice-oriented modules rather than confined to isolated courses

Constraints

• Implemented in computer-related majors at one Chinese institution under the new engineering education paradigm

Target Learners

• undergraduate students in computer-related majors

Learning Goals

• technical proficiency in AI and computing
• innovation capacity
• practical problem-solving for real-world challenges

Claims

• Pilot studies in computing-related majors report measurable improvements in student engagement, self-efficacy, and learning outcomes [+W]

Related Designs

• AI-enhanced course set spanning compulsory, elective, and practice categories
• Three-layer competency map linking graduate attributes to measurable behaviors
• Digital Technologies project framework: semester-spanning agile Scrum projects as an integral third of a robotics-relevant CS curriculum

Examples

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Key Sources

• Wang J and Li P (2026). AI-driven educational reform: enhancing talent cultivation in computer-related majors for the digital era. Front. Psychol. 17:1790916. https://doi.org/10.3389/fpsyg.2026.1790916

Page metadata

Field	Value
type	design
id	ai-driven-talent-cultivation-reform-framework
title	AI-driven talent cultivation reform framework with five interconnected components
description	The article proposes a comprehensive reform framework for computer-related majors grounded in the new engineering philosophy, integrating AI across curriculum, pedagogy, and practical training.
status	review
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content
sources	1 — wang-j-and-li-p-2026

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