Exploration and Practice of Data-Intelligent Talent Cultivation Model Based on CDIO-OBE Framework: A Case Study of the Literature Retrieval and Academic Writing Course

DOI: https://doi.org/10.62517/jhet.202515239

Author(s)

Yingqi Huang, Wenjing Cui*

Affiliation(s)

Guangdong University of Science and Technology, Dongguan, China *Corresponding Author.

Abstract

Confronting the disconnection between the demand for data-intelligent talents in the digital economy era and conventional higher education curricula, this study proposes an integrated CDIO-OBE framework through pedagogical reform of the Literature Retrieval and Academic Writing course. By synergizing the CDIO engineering education paradigm with OBE principles, a systematic framework for cultivating data-intelligent competencies was constructed. A competency framework encompassing systematic inquiry thinking, critical verification thinking, data-driven decision-making thinking, and ethical pre-evaluation thinking was established through the Delphi method. A three-phase cultivation pathway was designed as "problem definition-competency cultivation-value creation." During implementation, four supporting mechanisms-problem scenario repository, a cognitive toolkit, collaborative learning mechanisms, and a dynamic feedback network—were employed to enhance students' information retrieval proficiency, critical thinking, and scholarly writing capabilities. The implementation of this model is expected to significantly enhance students' research literacy and innovation capabilities in digital environments, providing practical and feasible guidance for promoting higher education reform.

Keywords

Conceive-Design-Implement-Operate; Outcome-Based Education; Data-Intelligent Talent Cultivation; Literature Retrieval and Academic Writing; Pedagogical Reform

References

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