The draft Circular applies to higher education institutions; organizations and individuals participating in training, scientific research, management, and service activities at higher education institutions; and also applies to organizations and businesses providing digital technology platforms and AI solutions to serve higher education.
According to the draft, the application of technology in higher education is comprehensively implemented in training, testing, evaluation, scientific research, management of higher education institutions and providing services and support for learners.
Higher education institutions are proactive in selecting and applying technology solutions suitable to the development strategy and conditions of the unit; the application of technology must be carried out in a controlled manner, ensuring academic integrity.
In training activities, higher education institutions are proactively applying digital technology and AI through methods such as direct training with digital technology support, full online training, combined online and direct training, and personalized training based on data and AI.
The application of technology aims to support the organization of teaching and learning, manage the learning process, monitor the progress and learning results of learners, provide learning advice, career orientation and analyze learning data to improve programs and teaching methods.
The draft emphasizes that the use of AI in training must ensure support, not replace the role of lecturers; transparency, accountability; not distorting learning outcomes; compliance with academic integrity and having a control and supervision mechanism.
Regarding inspection and evaluation activities, the draft stipulates that higher education institutions are allowed to proactively apply digital technology and AI but must ensure accuracy, objectivity, transparency and fairness; in accordance with the output standards of the training program.
The application of technology in testing and assessment includes building and managing a bank of questions and exam questions; organizing testing, assessment and scoring; monitoring the testing and assessment process; analyzing learning outcomes and assessing learner competence; storing, managing and exploiting evaluation data.
The draft requires ensuring the authentication of learners' identities, controlling the inspection and evaluation process; ensuring integrity, traceability and storage of evaluation data; publicizing regulations, evaluation criteria and having a mechanism for explanation and review of results.
The use of AI in testing and evaluation must also ensure support, not replace the role of lecturers; not distort evaluation results; and comply with regulations on academic integrity.
A noteworthy content of the draft is a separate regulation on ensuring academic integrity when applying technology.
Accordingly, the application of digital technology and AI in training, testing, evaluation and scientific research must ensure honesty, objectivity, transparency; respect intellectual property rights; and accurately reflect the capacity of learners.
Research results; technology and AI are only supporting tools, not changing the nature of academic activities.
The draft clearly states a number of acts of violating academic integrity in the digital environment such as using technology, including AI, to commit fraud in learning, testing, assessment or scientific research; copying, plagiarizing, illegally using documents, data, digital learning data or research results; falsifying, distorting data, research results or learning information; asking others to perform or perform on behalf of learning, testing, assessment, research tasks; not publishing or incompletely publishing the use of technology, AI when requested.
Higher education institutions are responsible for issuing internal regulations on academic integrity, clearly defining violations, handling procedures and responsibilities of relevant parties; establishing a mechanism for control, supervision, and handling violations; applying technology to detect fraud; and at the same time organizing dissemination, propaganda, and raising awareness about academic integrity.
The draft Circular also stipulates that the application of technology in higher education institution governance must be comprehensively implemented in management and administration; taking data as a basis for governance and decision-making; ensuring publicity, transparency and accountability.
Higher education institutions must develop databases to serve governance, state management, improve the quality of training, testing, assessment and scientific research; create a data platform for analysis, forecasting and application of digital technology, including AI.
Data must be standardized, synchronized, capable of integration, intercommunication, and sharing; ensuring data safety, security, and integrity.
The draft also requires the development of synchronous digital infrastructure, ensuring the ability to connect, integrate, interconnect and share data; developing digital capacity and AI capacity for learners, teachers and education administrators.
