Teacher-Student Relationships and Self-Regulated Learning: The Serial Mediating Roles of Learning Engagement and Affective Computing-Derived Emotional Valence

In the quiet hum of a university lecture hall, a profound exchange takes place that goes far beyond the transfer of facts. It is the subtle, often invisible connection between a teacher and a student, a relationship that can shape how a young person learns to manage their own mind. For decades, educators and psychologists have understood that when students feel a genuine bond with their instructors, they are more likely to succeed. This connection is not merely about being friendly; it is a foundational element that influences a student's ability to take charge of their own learning, a skill known as self-regulated learning. This skill involves the internal work of setting goals, monitoring progress, and adjusting strategies when things get difficult. While we know the relationship matters, the exact path it takes to transform a supportive teacher into a self-disciplined student has remained somewhat of a mystery. Does a good relationship make a student feel happy, which then helps them learn? Or does it make them pay closer attention, which then leads to better results? To answer this, researchers needed to look inside the classroom not just with surveys, but with a way to measure the fleeting, real-time emotions of students as they happened.

A team of researchers at Shandong University of Science and Technology and Qingdao Preschool Education College set out to map this journey in a natural setting. They did not bring students into a sterile lab or ask them to imagine a classroom; instead, they turned a regular university course on ideological and political education into a living laboratory. The study involved 98 university students, mostly in their late teens, sitting in four parallel classes taught by the same instructor. The goal was to see how the quality of the relationship between the teacher and the students influenced the students' ability to regulate their own learning. To do this, the researchers combined two very different tools: a traditional questionnaire where students described their feelings and habits, and a high-tech camera system that watched their faces.

The technology used was a form of artificial intelligence designed to read human emotion. Cameras recorded the students' faces throughout the lecture, and a computer program analyzed every expression, second by second. This system did not just guess if a student was happy or sad; it calculated a specific score for their emotional tone, known as emotional valence, which measures how positive or negative a feeling is at any given moment. This provided an objective, real-time record of the students' emotional states, free from the bias of memory or self-reporting. At the same time, the students filled out detailed surveys about their relationship with the teacher, how engaged they felt in the class, and how well they could control their own learning process.

The results of this study revealed a clear and specific chain of events. The researchers found that a positive relationship with the teacher did indeed lead to better self-regulated learning, but not directly. The connection worked through a middle step: learning engagement. When students felt close to and supported by their teacher, they became more deeply involved in the lesson. They paid closer attention, put in more effort, and stayed focused. This heightened state of engagement was the primary engine that drove improvements in their ability to regulate their own learning.

However, the story did not end there. The study also examined whether the students' emotions played a direct role. The data showed that the teacher-student relationship did not simply make students feel good, which then magically improved their learning skills. In fact, the emotional state of the students, measured by the facial recognition system, did not act as a standalone bridge between the teacher and the student's learning habits. A positive relationship alone did not guarantee a positive emotional state that directly caused better self-regulation. Instead, the emotions came later in the chain. The researchers discovered a sequential path: a good relationship led to high engagement, and it was this deep engagement that subsequently generated positive emotions. These positive feelings, born from being fully involved in the work, then helped to further strengthen the student's ability to regulate their learning.

This finding offers a nuanced view of how classroom dynamics work. It suggests that the most effective way for a teacher to help a student become a self-directed learner is not necessarily by trying to make them feel happy first. Rather, the teacher's support fosters a state of deep involvement. When a student is truly engaged in the material, supported by a trusting relationship, positive emotions arise naturally as a byproduct of that engagement. These emotions then reinforce the student's capacity to manage their own learning journey. The study, conducted with a sample of 98 students and analyzed with rigorous statistical methods, confirms that while the teacher-student bond is vital, its power is unlocked through the student's active participation in the learning process. The emotional payoff is real, but it follows the effort, not the other way around. This insight provides a clear direction for educators: building a supportive relationship is the first step, but the true transformation happens when that relationship inspires the student to dive deep into the work, where both engagement and positive feelings can flourish together.