Effects of a Multi-Component AI-Supported Experiential Learning Environment on Pre-Service Teachers’ Self-Efficacy, Occupational Anxiety, Professional Attitudes, and Reality Shock Expectations
This randomized controlled study found that an eight-week multi-component AI-supported experiential learning environment significantly improved pre-service teachers' classroom management self-efficacy and reduced their occupational anxiety in the short term, though these gains were not sustained at a 45-day follow-up and no significant effects were observed on reality shock expectations or professional attitudes.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
The journey from student to teacher is rarely a straight line. It is a transition filled with high hopes and steep learning curves, where the theories learned in university classrooms often collide with the chaotic, unpredictable reality of a school day. This gap between expectation and experience is a well-known phenomenon in education, often called "reality shock." It is the moment a new teacher realizes that managing a room full of twenty-five unique personalities, handling administrative duties, and responding to parents requires a different kind of skill than simply knowing the subject matter. Alongside this shock comes a specific type of worry known as occupational anxiety, the fear of not being good enough or not knowing what to do when things go wrong. To survive this transition, future teachers need more than just knowledge; they need confidence in their ability to handle the classroom and a sense that they can cope with the demands of the job.
For decades, teacher education programs have tried to bridge this gap through practice, but finding safe, realistic ways to simulate the pressure of a real school without the risk of harming actual students has been difficult. Recently, educators have turned to technology to help, exploring whether artificial intelligence could act as a guide or a partner in this learning process. The question researchers asked was whether a carefully designed digital environment, one that combines lessons, realistic scenarios, and smart feedback, could actually change how future teachers feel about their upcoming careers. Could such a tool boost their confidence, lower their anxiety, and prepare them for the inevitable surprises of the profession?
A team of researchers from several universities in Turkey set out to answer this question by testing a new, multi-part learning system on nearly 440 final-year pre-service teachers. These students were on the verge of graduating and entering the workforce, making them the perfect group to study the effects of a preparation program. The researchers divided the students into two groups: one that used the new AI-supported system and another that continued with their standard university coursework. The experimental group spent eight weeks engaging with a digital platform that offered modular lessons on topics ranging from the Turkish education system to crisis management. Crucially, this was not just a reading assignment. The system included case-based simulations where students faced realistic classroom problems and had to make decisions. When they got stuck or wanted to understand a concept better, they could ask an AI-powered digital assistant for immediate, tailored guidance. They also received feedback from human mentors and had to pass self-assessments to prove they understood the material before moving on.
The researchers measured the students' feelings at three points: before the eight-week program began, immediately after it ended, and again 45 days later. They looked at four specific things: how confident the students felt about managing a classroom, how anxious they were about their future jobs, how positive their attitudes were toward the teaching profession, and how much they expected to be shocked by the reality of teaching. The results showed a clear, positive shift in the group that used the AI system, but only for a short time. Immediately after the eight weeks, these students reported feeling significantly more capable of handling classroom management and significantly less anxious about their future roles compared to the control group. The AI assistant and the practice simulations seemed to have given them a sense of mastery and a way to rehearse difficult situations without fear.
However, the story did not end there. When the researchers checked in with the students 45 days later, the initial improvements had faded. The boost in confidence and the drop in anxiety were no longer statistically different from the group that had not used the system. This suggests that while the digital environment was effective at providing a short-term safety net and a practice ground, the benefits did not stick on their own once the structured support was removed. The students who had used the system did not show a significant change in their general attitude toward the teaching profession, nor did their expectations of "reality shock" change much. The researchers noted that attitudes and deep-seated expectations are often shaped by broader social and institutional factors, such as job security and working conditions, which a short digital course cannot easily alter. Similarly, the feeling of being unprepared for the real world, or reality shock, is something that often only truly resolves when a teacher actually steps into a classroom and faces the full weight of responsibility.
The study concludes that artificial intelligence, when woven into a rich mix of simulations, lessons, and human mentorship, can be a powerful tool for giving future teachers a head start. It can help them practice decision-making and reduce their immediate fears. Yet, the fading of these gains over time serves as a reminder that technology alone is not a permanent solution. To truly prepare a teacher for the profession, these digital experiences must be part of a longer, continuous journey that includes real-world practice and ongoing support. The digital assistant can offer a safe space to make mistakes and learn, but the confidence to face the real world likely requires the sustained reinforcement of actual experience.
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