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DE-202026101383-U1 - System to support institutional learning-oriented strategic decisions

DE202026101383U1DE 202026101383 U1DE202026101383 U1DE 202026101383U1DE-202026101383-U1

Abstract

A computer-based system for institutional, learning-based strategic management, consisting of: a network communication interface configured to establish data communication with a variety of remote user devices over a communication network; a processor arrangement comprising at least one processor connected via a data bus to a non-volatile memory structure; a leadership diversity data capture processor configured to receive structured input data via the network interface representing attributes of members of a university management team, where the attributes include gender characteristics, functional affiliation within the institution, academic or professional background, and leadership behavior characteristics; a learning process recording unit configured to store indicators corresponding to institutional knowledge acquisition activities, interactions of knowledge distribution between organizational units, and records for the preservation of institutional memory; a processing unit for consolidating academic results, configured to receive data on academic performance from one or more institutional information systems and to categorize the received data into categories representing teaching activities, research productivity and collaboration with external stakeholders; a relational analysis control unit configured to process the leadership diversity data, learning process indicators, and academic outcome data stored in the memory structure to generate relational datasets that show the interactions between features of the represent leadership diversity, institutional learning activities, and the results of academic activities; and a graphical visualization interface that operationally generates visual diagrams that represent the directed relationships between the leadership diversity data, the indicators of institutional learning, and the results of academic activities, and can be presented to authorized users via their end devices.

Assignees

  • PEDRAJA LILIANA
  • RODRIGUEZ EMILIO
  • RUFF CLAUDIO
  • RUIZ MARCELO
  • UNIV BERNARDO O´HIGGINS
  • UNIV DE TARAPACA

Dates

Publication Date
20260513
Application Date
20260311
Priority Date
20260311

Claims (10)

  1. A computer-based system for institutional, learning-based strategic management, comprising: a network communication interface configured to establish data communication with a variety of remote user devices via a communication network; a processor arrangement comprising at least one processor connected via a data bus to a non-volatile memory structure; a leadership diversity data capture processor configured to receive structured input data via the network interface, representing attributes of university management team members, including gender, functional affiliation within the institution, academic or professional background, and leadership behavior characteristics; a learning process recorder configured to store indicators corresponding to institutional knowledge acquisition activities, knowledge-sharing interactions between organizational units, and records for preserving institutional memory; A processing unit for consolidating academic outcomes, configured to receive academic performance data from one or more institutional information systems and categorize the received data into categories representing teaching activities, research productivity, and collaboration with external stakeholders; a relational analysis control unit configured to process the leadership diversity data, learning process indicators, and academic outcome data stored in the memory structure to generate relational datasets that depict the interactions between leadership diversity characteristics, institutional learning activities, and academic outcomes; and a graphical visualization interface that operationally generates visual diagrams depicting the directed relationships between the leadership diversity data, institutional learning indicators, and academic outcomes, which can be presented to authorized users via their terminal devices.
  2. System according Claim 1 , wherein the leadership diversity data capture processor is configured to create a multitude of structured leadership profiles within the storage structure, each leadership profile corresponding to a member of the management team and comprising a data set with demographic attributes, information on professional training, functional position in the organization and classification of leadership behavior, wherein the leadership diversity data capture processor is further configured to organize the leadership profiles into a structured leadership data set that represents the composition of the institutional management team.
  3. System according to Claim 1 , wherein the learning process recording unit is configured to capture and store information about knowledge acquisition activities, including internal training events, benchmarking exercises with external organizations, collaborative projects with multiple academic units, and recruitment activities to introduce new expertise into the institution, wherein the captured information is organized within the storage structure into temporal records that represent learning activities across successive institutional planning periods.
  4. System according to Claim 1 The learning process recording unit further stores interaction datasets representing knowledge dissemination activities between the university's organizational units. These interaction datasets include data related to cross-departmental meetings, cross-functional committees, joint interpretation sessions, and institutional reporting exchanges. The interaction datasets are processed by the processor array to identify patterns of knowledge dissemination within the institutional structure.
  5. System according to Claim 1 , wherein the learning process recording unit additionally maintains an organizational memory within the non-volatile memory structure, wherein the memory stores archived institutional documents, decision logs, historical performance reports and knowledge store contents, and wherein the organizational memory is accessible by the processor arrangement for retrieval and analysis of institutional experience accumulated over time.
  6. System according to Claim 1 , wherein the processing unit for the consolidation of academic results is configured to process teaching performance data including information on student enrollment, records of academic progress, course assessment results and It receives indicators for the completion of studies from the university's academic management systems, whereby the teaching performance data is converted into structured teaching indicators and stored in the storage structure.
  7. System according to Claim 1 , wherein the processing unit for the consolidation of academic results is further configured to receive research performance data including information on research projects, scientific publications, intellectual property disclosures and grant commitments from research management systems, wherein the received research performance data is transformed into structured research indicators representing the institution's knowledge generation activities.
  8. System according to Claim 1 , wherein the processing unit for consolidating academic results additionally stores engagement indicators representing interactions between the university and external stakeholders, the engagement indicators including data on further education activities, technology transfer initiatives, cultural outreach programs and collaborative innovation projects carried out with industry or government organisations.
  9. System according to Claim 1 , wherein the relational analysis unit is configured to generate a multi-layered analytical structure within the storage structure, wherein the multi-layered analytical structure comprises a first data layer representing leadership diversity attributes, a second data layer representing institutional learning activities, and a third data layer representing the results of academic activities, wherein the processor arrangement is further configured to generate directed relational links between the data layers, representing influence relationships between the institutional variables.
  10. System according Claim 9 , wherein the relational analysis unit is configured to identify relational patterns that indicate how variations in leadership diversity attributes correspond to variations in institutional learning indicators and how variations in institutional learning indicators correspond to variations in the results of academic activities stored in the memory structure.

Description

AREA OF INVENTION The present invention relates generally to digital management infrastructures used in higher education institutions. In particular, it relates to a system for supporting institutional learning and strategic decision-making. The system integrates structured data on the diversity characteristics of a university's top management, operational indicators that reflect institutional learning processes, and performance indicators that represent the results of academic activities such as teaching output, research productivity, and collaboration with external stakeholders. BACKGROUND OF THE INVENTION Universities operate in an environment characterized by constant changes in regulatory frameworks, evolving technological infrastructures, demographic transformations, increased international competition for research and students, and rising expectations regarding academic quality and societal impact. Under these conditions, universities require mechanisms for institutional learning through which the organization acquires knowledge from internal experiences and external sources, distributes and interprets this knowledge within its organizational units, and preserves the accumulated knowledge as organizational memory. The information systems commonly used in universities are fragmented and domain-specific. Human resource management systems manage records on academic and administrative staff. Academic information systems store enrollment data, course structures, and study results. Research management platforms record research projects, publications, and funding information. Quality assurance systems support accreditation procedures and institutional evaluations. Although these systems provide valuable operational data, they generally operate independently, and integrated mechanisms that can link leadership composition, institutional learning processes, and academic outcomes within a unified analytical environment are lacking. Furthermore, existing systems rarely provide structured representations of how the diversity characteristics of a university's top management influence the organization's learning processes, or how these learning processes, in turn, shape academic performance. Consequently, decision-makers often lack a coherent analytical tool that can link the composition of the leadership level with the knowledge development processes and academic outcomes of the entire institution. Accordingly, there is a need for a machine-implemented platform that can capture, structure, and process data on leadership diversity, indicators of institutional learning, and outcomes of academic activities, while simultaneously generating visual analysis structures that represent the relationships between these dimensions. The present invention addresses this need with a structured computing device that implements a model of institutional learning management within the framework of strategic management at universities. Universities operate in a highly dynamic and complex environment characterized by changing political frameworks, increasing accountability demands, intensified competition for students and research funding, rapid technological developments, and growing expectations regarding social engagement. To effectively meet these challenges, universities must develop internal mechanisms that enable them to adapt their strategies, structures, and operational processes over time. A crucial capability that supports such adaptation is institutional learning. This refers to an organization's ability to gain knowledge from experience, disseminate this knowledge within its internal units, interpret it collectively, and preserve it for future decisions. Institutional learning is particularly important in higher education because universities simultaneously fulfill several tasks, including teaching, research, and social engagement. These tasks require coordinated strategic decisions at the highest levels of university leadership. The ability of university leadership to analyze information, interpret institutional performance, and adapt strategies depends significantly on the quality of the internal information systems that support decision-making processes. Universities traditionally employ various categories of digital information systems to support administrative and academic processes. One widespread category is the human resource management system, which stores and manages data on teaching staff, administrative personnel, and managers. These systems typically include modules for employee records, recruitment processes, payroll, professional development, and organizational structures. Although sol While systems are useful for managing personnel-related information, they typically treat leadership roles as simple administrative data sets and offer no analytical capabilities to assess the diversity of leadership teams or to understand how leadership characteristics influence institutional processes. Consequently, these s