Abstract:

Java remains one of the most widely taught and used programming languages in higher education. However, a misalignment has emerged between what academic curricula typically deliver and what the software industry now expects from junior developers. At the language level, many curricula are still designed around Java 8, 11, and 17 conventions that are misaligned with the modern language features introduced progressively through the latest long-term support (LTS) releases of Java. Specifically, Java 21 LTS and its successor, Java 25 LTS, introduced and consolidated many new language features, such as records, sealed classes, pattern matching, virtual threads, structured concurrency, and flexible constructor bodies. Beyond core language features, modern enterprise application development also relies heavily on frameworks, external libraries, services, and object-relational mapping (ORM) tools for data persistence, which are often absent from academic course offerings, despite being central to professional practice and explicitly tested in industry certification programmes.

This research is based on a curriculum analysis grounded in several evidence sources. First is a comparative mapping of current industry Java-related certifications, including the latest standards from Oracle and Pivotal/VMware/Broadcom, as well as other enterprise standards and certifications, against typical course content. The second is an analysis of Java developer job postings and their stated skill requirements. Finally, the third comprises a structured survey of industry professionals examining their expectations of entry-level Java developers. Building on this evidence, we examined how a sequence of courses in the software engineering curriculum of the Web and Mobile Computing undergraduate programme at our institution, particularly those focused on Java software development and database integration, currently covers the competencies identified as most critical by industry and reflected in certification objectives. The courses examined range from introductory object-oriented programming in Java, through applied data structures and algorithms, database connectivity and access, and database application development, to the use of contemporary databases, covering also non-relational data technologies.

We argue that artificial intelligence (AI)-assisted programming tools widen this gap by automating the routine programming tasks most commonly taught in introductory and intermediate-level Java courses. Consequently, the cost of delayed curriculum renewal increases as these tools become more prevalent, while new instructional opportunities arise for teaching modern programming language features, framework integration, and reasoning in software architecture and design.

Based on course experience and the analysis findings, we propose a set of curriculum recommendations, including targeted integration of the latest language features, introduction of enterprise framework and data persistence layer concepts aligned with current industry practices, use of industry certifications as voluntary student benchmarks in advanced undergraduate courses, and redesign of programming exercises toward competencies that resist automation, to better prepare graduates for contemporary software development roles.

Keywords:

Java, curriculum alignment, industry certifications, Spring framework, ORM, software engineering education, database programming, AI-assisted programming.