Purpose In this rapidly changing world, we are experiencing the fourth industrial revolution, known as “Industry 4.0,” that requires education systems to redesign qualifications in order to meet the needs of an individual and the workplace of the digitized economy. The purpose of this paper is to provide an overview of the relatively new approaches being explored mainly in the UK and Australia within the higher education (HE) sector and to propose a framework with selected career training pathways for the tertiary education system within the Australian context. The implementation plan postulated from the reports of recent studies conducted in England’s apprenticeship system is intended as a guideline for facilitating a sustainable career and technical education (CTE) with three pillars of innovation, integration and collaboration in order to improve employment outcomes required for the digitized economy in Australia. Design/methodology/approach This study adopts a descriptive, pragmatic research methodology to review and analyze education methods found in contemporary degree and vocation programs, particularly the degree apprenticeships adopted in England. This approach is used to explore, explain and develop a framework for student-centric apprenticeship options in CTE with graduate outcomes in the re-designed HE programs to successfully meet the needs of Industry 4.0 workplaces in Australia. Findings A student-centric framework is designed for HE programs with a proposal to include practical variations in apprenticeships to embrace flexible structures and industry responsiveness. The paper develops tactical plans and implementation flowcharts for the proposed framework with four CTE pathways, such as degree apprenticeships, start-up focus degrees, tailored studies and multiple majors that are designed for tertiary education programs to meet the dynamically changing employment needs of industry. Originality/value This proposal is a relatively new approach to improve employment outcomes of students undergoing degrees and vocational education with a focus on apprenticeship in four different forms. The strength of this pragmatic approach is in providing an insight into “what works” through a set of flexible, sustainable and practical implementation plan for the proposed CTE pathway framework in order to meet the future need of re-skilling and training for the digital economy.

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Purpose Academic corruption and fraudulent practices have become problematic in recent years. Governments around the world have introduced dedicated higher education commissions to regulate higher education providers. The purpose of this paper is to design a system for the detection and prevention framework of fraudulent behaviour in higher education. Design/methodology/approach This paper performs a survey on academic misconduct practices and expands the survey by analysing the accreditation process. This study further identifies common corrupt practices in the accreditation process with reference to particular accreditation standards or laws. If the accreditation process is as thorough as, this paper is led to believe, a higher institute may stop being compliant immediately after the accreditation process. playing a catch-me-if-you-can at the next accreditation cycle. The survey of the accreditation process and identification of corrupt practices lead to an identification of preventative and detective measures. Findings The review of accreditation procedures and conditions identifies that fraudulent practices can occur at every part of any policy and procedure. The framework prevents repudiation and allows for spontaneous investigations internally and externally. The blockchain prevented changes to the system and allow for auditing of changes. A system such as this could suppress accreditation fraud and minimise its corrupt impact. Not to mention identify with relative ease the severity and life of corrupt practice. Originality/value Contributions are made in the framework for detecting and preventing corrupt practices in Higher Education using blockchain immutable transactions. This enables real-time accreditation compliance checks and monitoring of conditions. External complaints or reviews can be conducted with minimum interactions from higher education providers.

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Locating facial feature in face images is an important stage for numerous facial image applications such as face recognition, face expression recognition and face tracking and lip reading. In this paper, we present a robust method for detecting facial feature points in frontal face images. The method adopts face detection algorithm of Viola-Jones face detector. The facial regions are than extracted by applying Haar feature based Adaboost algorithm for detecting eye, nose and mouth regions. Finally, template matching and several image processing techniques are utilized to detect feature points. Experiment on the IMM database, CVL database and our laboratory database is carried out to demonstrate and verify the proposed method.