Academy of Romanian Scientists  
Journal of Knowledge Dynamics  
The Classroom as a Dynamic System: The Role of Adaptive  
Leadership in Shaping Habituation  
Corina VEDEANU1, Ion STEGĂROIU2  
1 Valahia University of Târgovişte, Aleea Sinaia Street, 130004, Târgovişte, Romania;  
ORCID No.  
0009-0009-5228-714X; vedeanucorina@yahoo.com (corresponding author)  
2
Valahia University of Târgovişte, Aleea Sinaia Street, 130004, Târgovişte, Romania; Academy of  
Romanian Scientists, Ilfov Street 3, 050094 Bucharest, Romania; ORCID No. 0009-0008-5946-2601;  
Received: April 6, 2026  
Revised: May 13, 2026  
Accepted: May 25, 2026  
Published: June 30, 2026  
Abstract: In classroom environments, learning is not merely an individual cognitive process, but  
it emerges from complex interactions within dynamic social systems. This paper conceptualizes  
the classroom as a self-organizing system in which adaptive leadership plays a central role in  
shaping patterns of interaction, stability, and learning. Drawing inspiration from natural systems,  
the paper argues that order in the classroom emerges through guided regulation rather than  
imposed control. Adaptive leadership contributes to the reduction of entropy by structuring  
interactions, modeling appropriate responses, and creating conditions for collective habituation.  
Emotional, social, and metaphorical intelligence influences how students act, react, and interact  
to classroom experiences. The central concept introduced is classroom habituation, defined as a  
collective process through which repeated interactions gradually stabilize into shared patterns  
of behavior, emotion, and meaning. Habituation is thus understood as a key mechanism for  
transforming classroom variability into functional order. By integrating entropy, habituation, and  
adaptive leadership, the study proposes a conceptual framework that explains how distinct  
classroom climates and learning conditions emerge over time. To explore these relationships, the  
study employs a quantitative design based on parallel questionnaires distributed to teachers and  
students, in order to examine leadership practices, classroom entropy, habituation processes,  
and learning outcomes.  
Keywords: Adaptive Leadership, Classroom Habituation, Classroom Entropy, Emotional and  
Social Intelligence.  
Introduction  
“Learning occurs between a fear and a need.” (Kofman & Senge, 1993, p. 14). And the most  
important learning in contemporary organizations is to gain shared insight into  
complexity in order to shape change (Senge, 1999), since change and innovation are non-  
linear (Knight, 2021). Challenges force organizations to clarify their values, to develop  
new strategies, and to learn new ways of operating (Heifetz et Laurie, 1997). It is not easy  
to lead an organization to adapt to changes (Heifetz et al., 2009), hence leaders have the  
responsibility to overcome challenges and to implement change (Issah, 2018). In this  
context, learning and leadership become connected, especially in environments  
characterized by uncertainty, adaption, and continuous transformation. Schools are  
among such environments exposed to change. In school, students learn that “the name of  
the game is not learning, but performing” (Senge, 1999, p. 39). Since learning is a  
consequence of teaching (Knight, 2021), a teacher leader must create an environment  
based on commitment, care, and innovation. Within these dynamic systems, the role of the  
teacher goes beyond instruction, involving continuous regulation of interactions and  
responses. Leadership has to take place every day (Heifetz & Laurie, 1997), and teachers  
are the most suited to assume leadership roles because they interact with students daily  
(Soares, 2020).  
How to cite  
Stegăroiu, I., Nistorescu, G.G., & Nistorescu, M.A. (2026). Management in Atypical Organizations:  
Differences Between Military-type and Classical Management Models. Journal of Knowledge  
Dynamics, Vol. 3. No. 1 pp.78-90. https://doi.org/10.56082/jkd.2026.1.78 ISSN ONLINE 3061-  
2640  
 
Academy of Romanian Scientists | 79  
Journal of Knowledge Dynamics  
Vol. 3 (2026) No.1, pp. 78-90  
In educational settings, there is still a traditional perspective of learning as being linear,  
although adaptive problems are often systemic and have no ready answers (Heifetz &  
Laurie, 1997). There is a tendency to fragment problems into isolated parts, although  
many of the challenges we face are systemic in nature (Kofman & Senge, 1993). However,  
when classrooms are examined from the perspective of complex adaptive systems,  
teachers gain valuable insights about learning (Knight, 2021). Schools are neither linear  
nor closed systems. As complex learning systems, they are far more organic and dynamic  
than traditional models suggest (Marshall, 1996). Adaptive leadership provides a  
framework for understanding how teachers respond to classroom variability, while  
shaping patterns of engagement, behavior, and learning. Adaptive leaders hold a holistic  
vision, being able to see the various possibilities in order to make appropriate choices  
(Bratianu & Lefter, 2001; Glover et al., 2002).  
Heifetz and Laurie argue that leaders should give a voice to everybody (Heifetz & Laurie,  
1997). This principle becomes particularly relevant in classrooms, where multiple  
individuals continuously influence one another. Classrooms display many characteristics  
associated with complex adaptive systems, and when organized according to similar  
principles, they could maximize knowledge sharing and collective learning among  
students. Complex adaptive systems contain multiple agents and cannot be explained  
using traditional scientific methods. They adapt through complex processes of emergence  
(Knight, 2021), become communities of inquiry, as their components are engaged in  
making new meaning together (Kennedy & Kennedy, 2010; Ahmad et al., 2021).  
Learning within such systems is not only about instructional practices. It also depends on  
emotional climate, social interaction, and the meaning that students construct around  
their experiences. Without interaction, a classroom would be a lifeless system (Vetromille-  
Castro, 2013). The network of interactions results in an extremely complex system  
(Mallows, 2002), and experienced teachers have implicit knowledge of the classroom’s  
demands, tailoring activities that involve students (Doyle, 1986). Besides logical  
reasoning, learning also requires a combination of affective climate, social interaction, and  
symbolic dimensions. As shown by Vedeanu and Stegăroiu (2025), emotional intelligence  
(EI), social intelligence (SI), and metaphorical intelligence (MI) can be understood as  
pillars that support human cognition and development. EI allows teachers to recognize  
and regulate emotional fluctuations, SI enables them to navigate relationships and group  
dynamics, while MI can bring meaning and understanding to learning experiences  
(Vedeanu & Stegăroiu, 2025).  
Within classroom environments understood as dynamic systems, teachers play a vital role  
in guiding interaction patterns. They adjust their practices to the needs of the group, going  
beyond instruction or management and continuously shaping classroom dynamics  
(Kennedy & Kennedy, 2010). By reducing variability and managing interaction patterns,  
adaptive teachers contribute to the stabilization of the classroom, creating conditions for  
both habituation and learning. Adaptive leadership does not explain what a teacher does,  
but mostly how a classroom interacts, regulates, and stabilizes, in order to foster learning.  
Classrooms do not evolve toward uniformity. Their climate is a multidimensional  
construct (Wang et al., 2020) and their interactions form a complex system (Mallows,  
2002), so even under similar structural conditions, identical curricula, and the same  
teachers, each classroom develops distinct configuration shaped by ongoing interactions  
and habituation processes. Classroom entropy refers to the degree of variability,  
unpredictability, and instability in the patterns within the classroom. The habituation  
processes transform fluctuating classroom dynamics into relatively stable configurations,  
through the guidance of adaptive leadership. As a result, each classroom becomes unique,  
an adaptive system characterized by its own entropic signature.  
Previous studies (Hawkins & Kandel, 1984; Rankin et al., 2009; Typlt, 2013; Schmid et al.,  
2015) have shown that habituation is traditionally studied at the individual level,  
particularly in simple organisms, being considered the simplest form of learning.  
80 | Corina VEDEANU, Ion STEGĂROIU  
The Classroom as a Dynamic System: The Role of Adaptive Leadership in Shaping Habituation  
Nevertheless, similar patterns of response can be observed in classroom settings. Unlike  
biological systems, classroom habituation emerges through social interaction and it is  
shaped by adaptive leadership. This paper extends the concept of habituation by  
metaphorically proposing it as a collective process occurring within the classroom. In the  
natural world, habituation is a passive reduction of responses to repeated stimuli  
(Hawkins & Kandel, 1984; Rankin et al., 2009; Typlt, 2013). In the classroom, it can  
become a pedagogical mechanism shaped by adaptive leadership, allowing entropy to  
stabilize and creating conditions that foster learning.  
Literature Review  
Education and the classroom as a complex adaptive system  
According to Knight, education is not a morally neutral activity, but a purposeful one. It  
exists so that people learn something, not anything, as one of the educational aims is to  
make a difference (Knight, 2021). There is a lack of vision regarding what is truly needed  
in the classroom (Senge, 1999). As complex learning systems, schools are far more organic  
and dynamic than linear (Marshall, 1996). Unpredictability, non-linearity, and self-  
organization add to the classroom’s features, since there are random behaviors that  
cannot be foreseen and these systems are constantly struggling to absorb new behavior  
and elements (Vetromille-Castro, 2013). Groups of individuals in learning contexts can be  
seen as complex adaptive systems (CAS), where interaction is essential for knowledge  
construction (Grisogono  
&
Radenovic, 2011; Vetromille-Castro, 2013). Without  
interaction, a classroom would be a lifeless system (Vetromille-Castro, 2013). Since  
classrooms function as CAS, inter-relationships create networked and non-linear  
behaviors from which change, meaning learning, emerges at different levels. Despite this,  
teachers still exercise control, instead of becoming more attuned to the collective (Knight,  
2021).  
Previous studies (Vetromille-Castro, 2013) have shown that a classroom becomes a living  
organism, trying to harmonize diversity and to adapt to external changes. Classroom  
climate is a complex multidimensional construct (Wang et al., 2020) and classroom life  
has an intrinsic rhythm (Doyle, 1986). In addition, classroom management has the most  
direct impact on students’ achievement, as it creates a safe and stimulating learning  
environment (Djigic & Stojiljković, 2011). When their needs are met, students are more  
likely to engage in learning and to develop academic skills (Wang et al., 2020). Efficient  
lesson planning and effective classroom management are both necessary in order for  
learning to take place (Martin & Baldwin, 1993). Students’ achievements improve when  
teachers practice the interactionist style and decrease when teachers are interventionists  
(Djigic & Stojiljković, 2011). The presence of the teacher improves learning by  
mechanisms of relational dynamics (De Felice et al., 2022), since teachers build the  
school’s capacity to improve (Chan, 2019). Teacher leadership is a sleeping giant that can  
become a catalyst for implementing changes to improve learning (Katzenmeyer & Moller,  
2011). With the teacher as a facilitator of the educational environment, the classroom  
becomes an open system, where individuals strive to construct knowledge together  
(Ahmad et al., 2021).  
According to Doyle (as cited in Djigic & Stojiljković, 2011), the classroom is a complex  
environment, where events happen fast, in an unpredictable way, and the teacher is  
always on stage. Classrooms can be defined as communities of inquiry since they are open  
systems, whose components are engaged in making new meaning together (Kennedy &  
Kennedy, 2010; Ahmad et al., 2021). As a result, classrooms cannot be understood or  
classified as static structures, but rather as evolving systems in which order and disorder  
coexist, along with variability and invariability. “Context plays a pivotal role in shaping the  
leadership practices that contribute to school efficiency.” (Dagala et al., 2024, p. 365).  
Likewise, effective leaders respond to the changing needs of the context (Hallinger, 2003,  
p. 346). In contexts characterized by unpredictability, adaptive leadership contributes to  
the reduction of entropy by structuring interactions and guiding students toward more  
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Vol. 3 (2026) No.1, pp. 78-90  
stable patterns of response. Thus, it facilitates habituation processes, enabling students to  
filter irrelevant stimuli and regulate their emotional and behavioral responses.  
Adaptive leadership in educational systems  
Because schools operate as dynamic systems, leadership becomes essential for  
responding to complexity and change. Principals need to create a purposeful community,  
in order to respond to the demands for change (Squires, 2015). School should nurture and  
deepen the love for learning. Also, school should help students develop new skills of  
systemic thinking, teaching them how to learn, especially together (Senge, 1999). Systems  
thinking is essential for change, although it can also be uncomfortable (Senge et al., 2007).  
We resist change and keep the belief that only the top can initiate significant change,  
because we don’t want to give up a familiar mental model (Senge, 1996). Furthermore,  
change creates a situation filled with anxiety and uncertainty (Issah, 2018), whereas  
adaptive change is distressing for those going through it (Heifetz et Laurie, 1997).  
Mujari, Astuti, and Surya (2026) argue that the key elements of adaptive leadership, such  
as the holding environment, the disciplined attention or emotional intelligence are closely  
related to teachers’ pedagogical competence and performance (Mujari et al., 2026). Its  
goal is to energize and motivate through shared values and purposes (Squires, 2015).  
Adaptive leadership is about change (Heifetz et al., 2009) and adaptive approaches are  
needed as a response to uncertainty (Dunn, 2020). Today’s most pressing societal issues  
will not be solved through hierarchical authority (Senge, 1996). Community builders are  
predisposed to creating change and significant change requires imagination, dialogue and  
deep caring (Senge, 1996). An organization doesn’t need change because it is broken  
(Heifetz et al., 2009a). It is challenging to determine it to adapt to changes and approaches  
that worked in the past may no longer be appropriate (Heifetz et al., 2009b). As humans,  
we have always faced challenges, although we are often our worst enemies regarding  
change (Helterbran, 2016). Adapting to challenges involves creative problem solving and  
it goes beyond learning, requiring a holistic perspective (Glover et al., 2002). Adaptive  
leaders have this holistic vision, being able to see the various possibilities in order to make  
the best choices (Glover et al., 2002). Adaptive leadership emphasizes flexibility and  
innovation, continuous learning and collaboration (Squires, 2015; Mujari et al., 2026). It  
involves changing behavior in appropriate ways as the situation changes (Yukl & Mahsud,  
2010). Adaptive leaders think globally, but act locally (Glover et al., 2002), they mobilize  
people to cope with challenges and to thrive (Heifetz et al., 2009b; Good et al., 2021).  
Vetromille-Castro (2013) stated that the classroom’s non-linearity is a conflict between  
teaching and learning. According to Piaget (as cited in Glover et al., 2002), learning by  
assimilation is an additive process, while learning by accommodation is an experiential  
one, allowing the learner to adapt to a changing world. Thus, adaptive leadership requires  
organizations to use assimilation and to be willing to accommodate. Openness to learning  
means accepting the possibility of being wrong and letting go of having to be right  
(Grisogono & Radenovic, 2011). The quality of learning depends on the condition of  
infrastructure, human and material resources (Valerio, 2012; Ahmad et al., 2021), since  
learning is based on social interactions (De Felice et al., 2022). Complex systems are  
adaptive, non-linear, and interactive, their behavior emerging from the interaction of its  
components (Larsen-Freeman, 1997; Mallows, 2002; Cameron & Larsen-Freeman, 2007).  
Any complex system embraces change and focuses on it (Cameron & Larsen-Freeman,  
2007). In an educational setting, leadership at its best is perceived in the interactions  
between people and the situations they face (Helterbran, 2016). In order to achieve  
academic performance, school leaders may need to develop an adaptive approach,  
experiencing what solutions work within their unique school context (Dunn, 2020).  
Vedeanu and Stegăroiu (2025) showed that there are three dimensions playing a  
significant role in how classroom interactions are regulated and transformed into  
meaningful experiences. They are integrated into the triad of intelligences consisting of  
emotional intelligence (EI), social intelligence (SI), and metaphorical intelligence (MI).  
They provide mechanisms through which adaptive leadership may influence classroom  
82 | Corina VEDEANU, Ion STEGĂROIU  
The Classroom as a Dynamic System: The Role of Adaptive Leadership in Shaping Habituation  
dynamics. EI contributes to emotional safety and students’ ability to engage in learning  
processes, SI supports collaboration and group interaction, while MI allows both learners  
and teachers to organize complex experiences into shared interpretations (Vedeanu and  
Stegăroiu, 2025).  
CAS are based on an intertwined network of constant interactions, generating patterns  
that are often unpredictable and difficult to control (Knight, 2021). As interactions  
multiply, variability naturally emerges within the system. This variability can be  
understood through the concept of entropy. According to Bratianu and Bejinaru (2019),  
entropy was originally associated with thermodynamics and it refers to the tendency of  
the systems to move toward increasing disorder (Bratianu & Bejinaru, 2019). In  
educational environments, entropy would rather reflect the degrees of variability and  
unpredictability present within interactions, as classrooms consist of multiple individuals  
influencing one another. Within open systems, external energy is constantly integrated,  
slowing entropy down (Vetromille-Castro, 2013).  
Classroom entropy and classroom order  
The term entropy was coined in 1865 by the German mathematician and physicist Rudolf  
Claudius (Vetromille-Castro, 2013; Bratianu & Bejinaru, 2019). Originally related to  
energy dissipated in the process (Vetromille-Castro, 2013), entropy has since been  
applied to social and organizational systems. Bratianu and Bejinaru (2009) argue that the  
main attribute of energy is the fact that it is a field, “a continuum of forces” within a social  
context (Bratianu & Bejinaru, 2019, p. 3). Entropy is also present in CAS (Vetromille-  
Castro, 2013). Organizations create both order and disorder, they produce both entropy,  
seen as the degradation of the system and of itself, and negentropy, the regeneration and  
renewal (Morin, 1992).  
In educational settings, entropy has been explored as a means of understanding the  
dynamics of pedagogical systems (Dunn, 2020). Students learn more when there is less  
confusion and misbehavior and more productive work (Doyle, 1986). When entropy is  
low, the realization of potential is high (Ahmad et al., 2021), while a high level of disorder  
implies a high level of entropy (Bratianu & Bejinaru, 2019). Disorder is distractive  
(Csíkszentmihályi, 1990), which explains why teachers often rely on routines to reduce  
confusion in the classroom, since classroom order rests fundamentally on familiar  
activities that ensure stability and continuity (Doyle, 1986). Thus, as shown by Bratianu &  
Bejinaru, knowledge sharing can reduce entropy, because energy is distributed efficiently,  
rather than equally, fostering innovation and learning (Bratianu & Bejinaru, 2019).  
Learning itself can be viewed as a local anti-entropic process (Ahmad et al., 2021), since  
open systems evolve and increase in order and complexity by absorbing energy from the  
environment (Larsen-Freeman, 1997). According to Norbert Wiener (as cited in Ahmad et  
al., 2021) social systems create local order in a universe that naturally tends toward  
disorder. Flow, also known as negentropy, represents a source of energy that educators  
seek to harness in order to foster learning (Csíkszentmihályi, 2014).  
Habituation as a mechanism of classroom stabilization and learning  
The concept of habituation originates from the work of Eric Kandel and his studies on the  
marine snail Aplysia (Hawkins & Kandel, 1984; Kandel & Hawkins, 1992; Kapoukranidou  
et al., 2009). With approximately 20.000 nerves cells, Aplysa provided a model through  
which habituation was identified as one of the simplest forms of leaning (Hawkins &  
Kandel, 1984; Rankin et al., 2009; Typlt, 2013; Schmid et al., 2015). Habituation occurs  
when an organism learns to ignore a weak stimulus that is repeatedly present and neither  
dangerous nor rewarding (Hawkins & Kandel, 1984; Rankin et al., 2009; Typlt, 2013).  
Learning involves the acquisition of knowledge and skills, while memory refers to the  
ability to store and maintain them (Kandel & Hawkins, 1992; Kapoukranidou et al., 2009).  
Learning changes both the function and the structure of the central nervous system  
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(Hawkins & Kandel, 1984; Kandel & Hawkins, 1992; Kapoukranidou et al., 2009). In  
educational environments, learning is a form of social progress (Kandel & Hawkins, 1992)  
and it can be understood as a process of establishing connections and acquiring  
information from the networks (Shi & Liu, 2025) where teacher leaders serve as  
facilitators of learning and teaching (Issah, 2018).  
Although habituation has traditionally been studied at an individual level, its logic can be  
extended to classroom settings. Through repeated interactions, students learn to filter  
irrelevant stimuli, adapt to routines, regulate emotional responses, and focus attention on  
learning tasks. Repetition gradually transforms uncertainty into familiarity, allowing  
classroom interactions to stabilize into patterns of behavior and participation. The  
relationship between learning, emotion and body is connected to the notion of learning  
itself (Immordino-Yang & Damasio, 2007). Sometimes, learning is not about what teachers  
do. It is filtered through a range of networked factors (Knight, 2021) where each structure  
evolves through interactions (Kofman & Senge, 1993). In a classroom, learning takes place  
not only as intended by the structures of the organized schooling, the curricula or the  
teachers, but it becomes behavioral, relational, and environmental (Knight, 2021), so that  
students learn within a space of active learning and meaning (Daniels, 2010). From this  
perspective, classroom habituation can be understood as a collective process through  
which teachers transform variability into functional order.  
Learning is fundamentally embedded in social interactions (De Felice et al., 2022). It is a  
process of acquiring information and constructing connections within networks (Shi &  
Liu, 2025), where teacher leaders serve as facilitators of learning and teaching (Issah,  
2018). The quality of learning depends on infrastructure, human resources, and material  
conditions (Valerio, 2012; Ahmad et al., 2021), but also on the social interactions that  
occur within educational environments (De Felice et al., 2022). Efficient lesson planning  
and effective classroom management are necessary for learning to take place (Martin &  
Baldwin, 1993). When students’ needs are met, they are more likely to engage in learning  
and develop academic skills (Wang et al., 2020). Research suggests that achievement  
improves when teachers adopt interactionist approaches and declines when teaching  
becomes mainly interventionist (Djigic & Stojiljković, 2011). When the challenge is higher  
than the skills, anxiety results (Csíkszentmihályi, 1990; Csíkszentmihályi, 2014).  
Adaptation implies a fundamental change in how we see the world, forcing us to rethink  
the very notions of leadership and organizations (Glover et al., 2002). It is a natural  
process for dealing with complex situations (Grisogono & Radenovic, 2011), taking time  
and relying on diversity (Heifetz et al., 2009b). Many forms of learning are associative in  
nature, as individuals learn to connect different stimuli and experiences over time  
(Kapoukranidou et al., 2009).  
As noted by Lieberman, 2013, “When people feel better, they perform better.” (Lieberman,  
2013, p. 3). Learning organizations are generally more adaptive than traditional  
organizations, they cultivate empathy, compassion, and the capacity to function as  
systems (Kofman & Senge, 1993). Individual minds become interconnected within larger  
social systems, and effective leaders understand how to improve interconnectedness  
(Lieberman, 2013). In education, the teacher’s presence enhances learning through  
relational dynamics (De Felice et al., 2022). Teachers build the school’s capacity for  
improvement (Chan, 2019) and teacher leadership has been described as a sleeping giant  
capable of catalysing meaningful educational change (Katzenmeyer & Moller, 2011). As  
facilitators of the educational environment and managers of learning, teachers contribute  
to the creation of open learning systems in which knowledge is constructed collectively  
(Ahmad et al., 2021).  
Classrooms are not static. They should be understood as dynamic social systems, in which  
learning depends on the ongoing interactions that occur within educational environments  
(De Felice et al., 2022). Entropy could represent the natural variability and  
unpredictability of the classroom life, since it is used as a means of understanding the  
dynamics of pedagogical systems (Dunn, 2020). There is an invisible thread connecting  
entropy, habituation, and learning within the classroom environment, represented by  
84 | Corina VEDEANU, Ion STEGĂROIU  
The Classroom as a Dynamic System: The Role of Adaptive Leadership in Shaping Habituation  
adaptive leadership, an educational tool that does not eliminate variability, but channels  
it into repeated and meaningful interactions.  
Methodology  
This study employed a quantitative questionnaire to explore the relationships among  
adaptive leadership, classroom entropy, classroom habituation, and learning outcomes.  
Participants consisted of 42 teachers and 68 students from Romania lower-secondary and  
upper-secondary education. Among the teachers, 66,7% taught at the lower-secondary  
level and 33,3% at the upper-secondary level. The student sample included 70,6% lower-  
secondary students (grades V-VIII) and 29,4% upper-secondary students (grades IX-XII)  
with a gender distribution of 41 females and 27 males.  
Data were collected using two parallel questionnaires designed in a mirror structure, one  
addressed to teachers and one to students. Both questionnaires contained 16 items on a  
five-point Likert scale ranging from 1 (“strongly disagree”) to 5 (“strongly agree”). The  
items were organized into four conceptual dimensions: adaptive leadership (items 1-4),  
classroom entropy (items 5-8), classroom habituation (items 9-12), and learning  
outcomes (items 13-16).  
Adaptive leadership referred to teachers’ perceived capacity to adjust instructional and  
pedagogical strategies, communication, and feedback according to situations in the  
classroom and to students’ needs. Classroom entropy described fluctuations in attention,  
behavioral responses, and interaction patterns. In the Results section, it is used the term  
classroom dynamics, in order to capture the ongoing interactions among students.  
Classroom habituation represented the gradual formation of stable routines and  
behavioral expectations through repeated classroom experiences. Learning outcomes  
referred to students’ understanding, participation, and sense of educational safety.  
Results and Discussions  
The aim of this article was to examine how adaptive leadership, classroom entropy,  
classroom habituation, and learning outcomes are perceived by teachers and students. It  
was assumed that learning emerges through the interaction of all these elements, since  
classrooms operate as dynamic open systems, characterized by ongoing interactions,  
feedback, and adaptation. From this perspective, classroom stability is not viewed as a  
fixed condition but as an emergent property that develops gradually through repeated  
social and instructional interactions. Adaptive teachers are supposed to regulate  
classroom dynamics, in order to stabilize entropy, metaphorically seen as the natural  
variability inherent in classroom life. It reflects fluctuations in students’ participation,  
attention, and social interactions. From this perspective, entropy requires continuous  
regulation through adaptive leadership and collective habituation.  
Table 1. Students’ Descriptive Statistics by Dimension (N-68)  
Dimension  
Mean  
3.83  
3.38  
3.61  
3.93  
Adaptive Leadership  
Classroom Dynamics  
Habituation  
Learning Outcomes  
Source: authors’ research  
The findings suggest that students generally perceive their teachers as adaptive and  
responsive to the classroom’s needs. The highest scores obtained for learning outcomes  
indicate that students experience positive effects in terms of participation, understanding,  
and safety. The lower scores for classroom dynamics reflect the presence of variability and  
fluctuations within classroom interactions. The highest mean scores were obtained from  
the items related to adaptation and repetitive activities (4.25), safety when learning  
(4.09), and the teacher’s communication depending on the situation (4.07). Together,  
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Vol. 3 (2026) No.1, pp. 78-90  
these findings suggest that adaptive leadership may contribute to the development of  
stable and supportive learning environments, guiding both interaction and learning in the  
classroom.  
Table 2. Gender differences  
Dimension  
Dimension  
Female Students  
Male Students  
4.09  
3.66  
Adaptive Leadership  
Classroom Dynamics  
Habituation  
3.51  
3.53  
3.53  
3.77  
3.18  
3.72  
3.72  
4.17  
Learning Outcomes  
Source: authors’ research  
Male students reported higher perception of adaptive leadership, habituation, and  
learning outcomes than female students. In contrast, female students perceived a higher  
degree of classroom variability and fluctuations. These differences could indicate distinct  
ways of interpreting classroom experiences and suggest that gender-related factors may  
influence perceptions of classroom functioning.  
Table 3. Differences by Educational Level  
Dimension  
Grades V-VIII  
Grades IX-XII  
3.96  
Adaptive Leadership  
Classroom Dynamics  
Habituation  
3.78  
3.42  
3.49  
3.92  
3.28  
3.89  
3.95  
Learning Outcomes  
Source: authors’ research  
Students from upper secondary education reported higher levels of adaptive leadership  
and habituation than students from lower secondary education. This finding may suggest  
that repeated interactions over time contribute to the stabilization of classroom routines  
and behavioral patterns. Also, older students internalize differently pedagogical practices.  
Learning outcomes remained relatively high across both educational levels, indicating  
that students generally perceive the classroom as supportive of learning.  
Overall, the results support the view of the classroom as a dynamic system in which  
adaptive teacher behaviors contribute to the emergence of stable interaction patterns and  
positive learning experiences. Students generally perceived their teachers as adaptive and  
responsive, suggesting that leadership in the classroom settings may function as a  
regulatory mechanism that helps manage interactions and reduce uncertainty. Repeated  
classroom experiences stabilize into patterns of behavior and participation, as students  
become more involved in the activities proposed by the teachers. Habituation appears to  
function as a bridge between classroom variability and academic outcomes, transforming  
repeated experiences into a mechanism that stabilizes entropy in order to facilitate  
learning. At the same time, the scores obtained for learning outcomes and psychological  
safety suggest that adaptive leadership can contribute not only to instructional  
effectiveness but also to the emotional climate of the classroom.  
Table 4. Teachers’ Descriptive Statistics (N= 42)  
Dimension  
Mean  
4.48  
3.85  
3.44  
3.76  
Adaptive Leadership  
Classroom Dynamics  
Habituation  
Learning Outcomes  
Source: authors’ research  
86 | Corina VEDEANU, Ion STEGĂROIU  
The Classroom as a Dynamic System: The Role of Adaptive Leadership in Shaping Habituation  
Teachers reported very high levels of adaptive leadership, suggesting they perceive  
themselves as highly responsive to students’ needs and classroom dynamics. They  
frequently experience variability, fluctuations in attention, and diverse student responses.  
Habituation obtained a moderate score, while learning outcomes remained relatively high,  
suggesting that despite classroom variability, teachers perceive learning processes as  
generally effective, despite the interruptions in students’ attention.  
Table 5. Comparison between Teachers and Students  
Dimension  
Teachers  
4.48  
3.85  
Students  
3.83  
3.38  
Adaptive Leadership  
Classroom Dynamics  
Habituation  
3.44  
3.61  
Learning Outcomes  
3.76  
3.93  
Source: authors’ research  
Teachers evaluate their adaptive leadership more positively than students, which  
suggests that teachers perceive themselves as highly adaptive, while students recognize  
this adaptability to a lesser degree. Also, teachers report higher levels of classroom  
dynamics and variability. This finding is important because it indicates that teachers are  
more aware of the complexity, unpredictability, and fluctuating nature of classroom  
interactions. One possible explanation is that students may become habituated to the  
everyday variability of classroom life and therefore perceive certain fluctuations as  
normal. As a result, teachers may be more sensitive to these changes in attention,  
participation and organization than students themselves. Finally, students report slightly  
higher learning outcomes, indicating that the educational environment may have a  
stronger positive impact on learners than teachers estimate.  
Table 6. Teachers’ Comparison by Educational Level  
Dimension  
Lower Secondary  
Upper Secondary  
Adaptive Leadership  
Classroom Dynamics  
Habituation  
4.55  
3.90  
3.50  
3.82  
4.32  
3.75  
3.32  
3.62  
Learning Outcomes  
Source: authors’ research  
Lower secondary education teachers reported higher scores across all four dimensions.  
This may reflect the greater need for continuous adaptation and relationship-building  
during early adolescence. Repeated routines and teacher guidance may play a particularly  
important role in supporting student behavior and learning during this developmental  
stage.  
The combined perspectives of teachers and students provide support for the view of the  
classroom as a dynamic and self-organizing system. Teachers perceive high levels of  
adaptive leadership and recognize great variability within classroom interactions, while  
students report relatively stable learning experiences and positive educational outcomes.  
This difference suggests that teachers need to continuously manage classroom complexity  
that students aren’t fully aware of.  
The findings support the theoretical role of habituation as a bridge between classroom  
variability and learning. Although teachers perceive considerable fluctuation in student  
behavior and attention, students report positively stable routines, increased participation,  
and a strong sense of safety during learning. This pattern is consistent with the  
perspective that adaptive leadership doesn’t eliminate entropy, but it stabilizes it, so that  
classroom interaction promotes cooperation and interaction.  
From a dynamic systems perspective, classroom order appears to emerge through  
continuous adaptation rather than through rigid control (De Felice et al., 2022). Teachers  
adjust communication, feedback, and pedagogical strategies in order to respond to  
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Journal of Knowledge Dynamics  
Vol. 3 (2026) No.1, pp. 78-90  
changing classroom conditions. At the same time, students gradually develop stable  
routines and learning behaviors. Therefore, the classroom can be understood as a living  
social system, where learning emerges from repeated interactions, adaptive regulation,  
and the gradual construction of patterns of behavior and meaning (Helterbran, 2016).  
Adaptive leadership contributes to the regulation of classroom dynamics, facilitating  
habituation and fostering learning outcomes.  
Conclusions  
This article examined the relationships between adaptive leadership, classroom entropy,  
classroom habituation, and learning outcomes from the teachers’ and students’  
perspectives. Classrooms function as dynamic and adaptive social systems rather than as  
static instructional environments (Mallows, 2002; Cameron & Larsen-Freeman, 2007).  
Learning appears to emerge through ongoing interactions, feedback processes, and  
collective adaptation, confirming that educational mechanisms are relational and  
systemic (Grisogono & Radenovic, 2011; Vetromille-Castro, 2013). The results indicate  
that adaptive leadership is present in both teacher and student perceptions, and that it  
appears to operate through flexibility, responsiveness, and emotional awareness. Rather  
than functioning as a mechanism of control, adaptive leadership seems to facilitate the  
regulation of the classroom dynamics, helping teachers to respond to complexity and  
uncertainty (Heifetz et Laurie, 1997; Grisogono & Radenovic, 2011; Dunn, 2020).  
Variability is a normal characteristic of classroom life, expressed through fluctuations,  
interruptions, and organizational challenges that characterize everyday classroom  
interactions. From a complexity perspective, entropy should not be seen just as disorder  
but as an inherent feature of open systems that continuously interact with their  
environment. As suggested by previous studies (Doyle, 1986; Csíkszentmihályi, 1990;  
Ahmad et al., 2021), learning environments require a balance between stability and  
change, since excessive disorder may reduce attention, participation, and engagement.  
Classroom order rests mainly on activities (Doyle, 1986) and repeated interactions,  
routines, expectations, and feedback gradually stabilize into patterns that foster learning.  
Classroom habituation may be understood as a collective adaptation process through  
which variability is transformed into order. The concept extends the original  
understanding of habituation as a reduction to repeated stimuli (Hawkins & Kandel, 1984;  
Rankin et al., 2009; Typlt, 2013;) and applies it to the social and relational dynamics of  
classroom life.  
Adaptive leadership may be viewed as the invisible thread that connects entropy,  
habituation, and learning within an open system where individual minds fuse into a single  
system (Lieberman, 2013), so that diversity and complexity may be directed toward  
productive forms of organization. Classroom climate is a complex multidimensional  
construct (Wang et al., 2020) and it creates local order through ongoing adaptation in  
order to facilitate learning. Future research could further investigate how adaptive  
classroom processes evolve over time, studying the emergence of learning in  
unpredictable educational environments that mirror social ecosystems constantly  
challenged to adapt, reorganize and reinvent themselves.  
References  
Articles  
Ahmad, M.I., Khan, I., Ahmad, M., Husain, A., & Jamaludin, R. (2021). Entropy in education  
system: Transformation of an individual through meaningful interactions in a  
community of inquiry. Systemic Practice and Action Research, 35, 591-606.  
Biesta, G. (2010). Why ‘What Works’ still won’t work: From evidence-based education to  
value-based education. Studies in Philosophy and Education, 29, 491-503.  
88 | Corina VEDEANU, Ion STEGĂROIU  
The Classroom as a Dynamic System: The Role of Adaptive Leadership in Shaping Habituation  
Bratianu, C., & Bejinaru, R. (2019). The theory of knowledge fields: A thermodynamics  
Bratianu, C., & Lefter, V. (2001). Management strategic universitar. Editura RAO,  
Bucharest.  
Cameron, L.,  
&
Larsen-Freeman, D. (2007). Complex systems and applied  
linguistics. International Journal of Applied Linguistics, 17(2), 226240.  
Csíkszentmihályi, M. (2014). Applications of flow in human development and education.  
In  
The  
Collected  
Works  
of  
Mihaly  
Csikszentmihalyi,  
Springer.  
Chan, J.W. (2019). Role of teacher leadership in school development. Research Journal of  
Education and Review, 7(6), 074-076. https://doi.org/10.5281/zenodo.3255017  
Daniels, E. (2010). Creating motivating learning environments: What we can learn from  
research  
and  
students.  
The  
English  
Journal,  
100(1),  
25-29.  
De Felice, S., de C. Hamilton, A.F., Ponari, M., & Vigliocco G. (2022). Learning from others is  
good, with others is better: the role of social interaction in human acquisition of  
new knowledge. Philosophical Transactions of the Royal Society B, 378, 1-12.  
Djigic, G., & Stojiljković, S. (2011). Classroom management styles, classroom climate and  
school achievement. Procedia - Social and Behavioral Sciences, 29, 819-828.  
Hallinger, P. (2003). Leading educational change: Reflections on the practice of  
instructional and transformational leadership. Cambridge Journal of Education,  
Hawkins, R.D., & Kandel, E.R. (1984). Is there a cell-biological alphabet for simple forms of  
learning? Psychological Review, 91(3), 375-391. https://doi.org/10.1037/0033-  
Immordino-Yang, M.A., & Damasio, A. (2007). We feel, therefore we learn: The relevance  
of affective and social neuroscience to education. Mind Brain and Education, 1(1),  
Issah, M. (2018). Change leadership: The role of emotional intelligence. SAGE Open, 8(3),  
Kandel, E.R.,  
individuality. Scientific  
&
Hawkins, R.D. (1992). The biological basis of learning and  
American, 267(3), 7886.  
Knight, B. (2021). Classroom as complex adaptive system and the emergence of learning.  
In book: Pedagogy - Challenges, Recent Advances, New Perspectives, and  
Applications [Working Title], 1-23. https://doi.org/10.5772/intechopen.101699  
Kofman, F., & Senge, P.M. (1993). Communities of commitment: The heart of learning  
organizations.  
Organizational  
Dynamics,  
22  
(2),  
5-23.  
Larsen-Freeman, D. (1997). Chaos/Complexity Science and Second Language Acquisition.  
Mallows, D. (2002). Non-linearity and the observed lesson. ELT Journal, 56(1), 3-10.  
Wang, M.T., Degol, J.L., Amemiya, J., Parr, A., & Guo, J. (2020). Classroom climate and  
children’s academic and psychological wellbeing: A systematic review and meta-  
analysis.  
Developmental  
Review,  
57,  
1-21.  
Social and Evolutionary Systems, 15(4), 371-385. https://doi.org/10.1016/1061-  
Mujari, M., Astuti, Y., & Surya, P. (2026). Adaptive leadership research trends in education.  
Curricula:  
Journal  
of  
Curriculum  
Development,  
5(1),  
133-  
Rankin, C.H., Abrams, T., Barry, R.J., Bhatnagar, S., Clayton, D.F., Colombo, J., Coppola, G.,  
Geyer, M.A., Glanzman, D.L., Marsland, S., McSweeney, FK, Wilson, D.A., Wu C.F., &  
Academy of Romanian Scientists | 89  
Journal of Knowledge Dynamics  
Vol. 3 (2026) No.1, pp. 78-90  
Thompson, R.F. (2009). Habituation revisited: an updated and revised  
description of the behavioral characteristics of habituation. Neurobiol Learn Mem,  
Schmid, S., Wilson, D. A., & Rankin, C. H. (2015). Habituation mechanisms and their  
importance for cognitive function. Frontiers in integrative neuroscience, 8(97), 1-  
Shi, P., & Liu, W. (2025). Adaptive learning oriented higher educational classroom teaching  
strategies. Scientific Reports, 15(1), 1-13. https://doi.org/10.1038/s41598-025-  
Soares, L. (2020). Awakening teacher leaders: A new paradigm in education for school and  
student success. PUPIL: International Journal of Teaching, Education and Learning,  
Kennedy, N.S., & Kennedy, D. (2010). Between chaos and entropy: Community of inquiry  
from a systems perspective. Complicity: An International Journal of Complexity and  
Typlt, M., Mirkowski, M., Azzopardi, E., Ruth, P., Pilz, P.K., & Schmid, S. (2013). Habituation  
of reflexive and motivated behavior in mice with deficient BK channel function.  
Front Integr Neurosci, 7(79), 1-8. https://doi.org/10.3389/fnint.2013.00079  
Vetromille-Castro, R. (2013). Social Interactive Entropy and Interaction in the Language  
Teacher Education Classroom. Revista Brasileira de Linguística Aplicada, 13(2),  
Yukl, G., & Mahsud, R. (2010). Why flexible and adaptive leadership is essential. Consulting  
Psychology  
Journal:  
Practice  
and  
Research,  
62(2),  
81-93.  
Online articles  
Bass, B.M., Avolio, B.J. (1993). Transformational Leadership and Organizational Culture. Public  
Administration Quarterly, 17(1), 112121. http://www.jstor.org/stable/40862298  
Csíkszentmihályi, M. (1990). Flow: The Psychology of Optimal Experience. HarperConnins.  
Dagala, F.G., Kilag, O.K.T., Unuabia, R.P., & Arcillo, M.T. (2024). The Crucial Role of Educational  
Leaders in Optimizing School Efficiency. International Multidisciplinary Journal of  
Research  
for  
Innovation,  
Sustainability,  
and  
Excellence,1(2),  
368-374.  
Doyle, W. (1986). Classroom Management Techniques and Student Discipline, 1-42.  
Dunn, R. (2020). Adaptive Leadership: Leading Through Complexity. In International Studies in  
Educational Administration, 48, (1), 31-38.  
Glover, J.M.,Friedman, H.L.,& Jones,G.(2002).AdaptiveLeadership:WhenChangeIsNotEnough  
(Part One). Organization Development Journal, 20, 15.  
Grint,  
K.  
(2005).  
Leadership:  
Limits  
and  
Possibilities.  
Grisogono, A.M., & Radenovic, V. (2011). The Adaptive Stance - steps towards teaching more  
effective complex decision-making.  
Goode, H., McGennisken, R., & Rutherford, E. (2021). An Adaptive Leadership Response to  
90 | Corina VEDEANU, Ion STEGĂROIU  
The Classroom as a Dynamic System: The Role of Adaptive Leadership in Shaping Habituation  
Heifetz, R. A., & Laurie, D. L. (1997). The work ofleadership. Harvard business review, 75(1), 124–  
Heifetz, R., Grashow, A. & Linsky, M. (2009a). The Theory Behind the Practice: A Brief  
Introduction  
to  
the  
Adaptive  
Leadership  
Framework.  
Heifetz, R., Grashow, A. & Linsky, M. (2009b). Leadership in a (Permanent) Crisis. Harvard  
business  
review,  
87,  
1-9.  
Helterbran, V.R. (2016). CHAPTER 12: Teacher Leadership: Overcoming “I am just a teacher”  
Syndrome. In Counterpoints. Teacher Leadership: The “New” Foundation of Teacher  
Education: A Reader: Revised Edition, 466, 114-120. https://eric.ed.gov/?id=EJ930607  
Kapoukranidou, D., Papachristou, P., & Gousopoulos, G. (2009). Molecular mechanisms of  
memory  
and  
learning.  
Aristotle  
University  
Medical  
Journal,  
36(1).  
Katzenmeyer, M., & Moller, G. (2011). CHAPTER ONE: Understanding Teacher Leadership.  
Counterpoints, Teacher Leadership: The “New” Foundation of Teacher Education – A  
Martin, N.K., & Baldwin, B. (1993). Validation of an Inventory of Classroom Management Style:  
Differences  
between  
Novice  
and  
Experienced  
Teachers.  
Senge, P. M. (1999). It's the learning: The real lesson of the quality movement. The Journal for  
Quality and Participation, 22(6), 34-40.  
Senge, P.M. (1996) Leading Learning Organizations: The Bold, the Powerful, and the Invisible,  
publishedbyJosseyBass,Inc.,asubsidiaryofJohnWiley&SonsCompany,inTheLeader  
of the Future, Goldsmith and F. Hesselbein, Eds. The Peter F. Drucker Foundation  
Senge, P., Lichtenstein, B., Käufer, K., & Bradbury, H. (2007). Collaborating For Systemic Change.  
Sloan Management Review, 48, 44-53.  
Marshall, S.P. (1996). Chaos, complexity, and flocking behavior: metaphors for  
Squires, V. L. (2015). Tackling Complex Educational Challenges Through Adaptive  
Leadership. Antistasis, 5(1).  
Valerio, K.M.V. (2012). Intrinsic motivation in the classroom. Journal of Student Engagement:  
Books  
Csíkszentmihályi, M. (1990). Flow: The Psychology ofOptimal Experience. HarperConnins e-book.  
Lakoff, G., & Johnson, M. (1980). Metaphors we live by. The University of Chicago Press.  
Lieberman, M.D. (2013). Social. Why our brains are wired to connect. Oxford University Press.  
Owens, R. G. (2004). Organizational behavior in education: leadership and school reform. Boston,  
MA: Pearson Education.