The process of teaching and learning mathematics is influenced by various factors. These factors encompass a country’s educational philosophy and students’ prior knowledge, misconceptions, learning difficulties, and socioeconomic backgrounds. In parallel with these variables, teachers’ pedagogical decisions and the strategic steps they take are also shaped by multiple influences. The selection of mathematical activities and their implementation within an interactive learning environment, where a positive classroom climate is fostered, are direct outcomes of these pedagogical decisions.
Mathematical activities are social practices jointly carried out by teachers and students, allowing learners to engage actively with mathematical content (
Doyle, 1983;
Johnson et al., 2017). Within a mathematics classroom, mathematical activities play a crucial role in elevating the instructional standards (
Barber, 2018). This significance stems from their potential to encourage students to engage in reasoning, problem-solving, making connections, constructing arguments, and participating in discussions (
Doyle, 1988;
Lee et al., 2013;
Mason et al., 2009;
Smith & Stein, 1998;
Sullivan, 2011). In this context, mathematical activities not only provide students with the opportunity to take responsibility for their learning but also place upon teachers the responsibility of selecting and implementing high-quality activities that support students’ mathematical thinking (
Rogers & Freiberg, 1994). The National Council of Teachers of Mathematics (
NCTM, 2014) defines the selection and implementation of mathematical activities as a fundamental element of effective mathematics teaching and directly links this process to teacher competencies.
Given the significance and necessity of this issue, this study aims to explore pre-service teachers’ perceptions of the ideal learning environment for mathematical activities through their drawings and related reflections.
1.1. Understanding the Components of an Ideal Learning Environment
Learning environments are complex structures that integrate the physical, social, psychological, intellectual, pedagogical, and cultural dimensions in which students learn and where learning takes place (
Fraser, 2007;
Kuzle, 2023). These environments serve as a critical source of motivation for students’ holistic development in school and represent a fundamental factor influencing learning strategies and engagement levels (
Cayubit, 2022). In all subjects, including mathematics, the learning environment plays a decisive role in increasing students’ interest and motivation toward the lesson (
Gilbert et al., 2014).
The interplay of student–teacher–physical space shapes an ideal learning environment and should possess characteristics that support students, promote equity, facilitate learning, and maximize educational outcomes (
Zedan, 2010).
Getzels (
1974) classified learning environments into four categories: traditional, active, open, and social. In this classification, teacher-centered environments are defined as traditional, student-centered environments as active, out-of-school learning environments as open, and interactive settings as social. However, considering the advancements in science and technology alongside educational reforms, it is evident that this classification is insufficient in capturing the nature of contemporary learning environments. Various new approaches, such as constructivist, online, hybrid, experiential, innovative, and informal learning environments, have gained popularity in recent years.
According to
García-Rodríguez et al. (
2024), learning environments not only contribute to students’ socialization processes but also include physical elements, teachers’ instructional methods, students’ learning strategies, and various interaction and communication components. These environments influence key factors such as attitudes, values, skills, and motivation. Accordingly, studies have linked high-quality learning environments to positive outcomes, including academic achievement, engagement, self-concept, skill development, satisfaction with learning experiences, the quality of peer communication, and emotional well-being (
Guo et al., 2021;
S. Lin et al., 2018;
McMinn et al., 2021;
Ozkan Bekiroglu et al., 2022;
Rusticus et al., 2023;
Vermeulen & Schmidt, 2008).
Different researchers emphasize various components of effective learning environments, often asserting that the design of these environments is shaped by the intended learning objectives. According to
Anderson and Krathwohl (
2001), clearly defined goals that align with both content and process facilitate a focus on learning, define the roles of teachers and students, and enhance achievement. In this regard, learning objectives not only guide the learning process but also influence the choice of instructional methods and the design of learning environments. Similarly,
Hattie (
2009) underscores the strong impact of learning strategies, student–teacher relationships, explicitly stated learning goals, and well-defined success criteria on students’ conceptual understanding and academic performance.
An ideal learning environment holistically addresses students’ psychological, social, cultural, and physical needs, fostering interaction and motivation (
Zadina, 2023;
Rusticus et al., 2020). By supporting students’ cognitive, neurological, and emotional development, this environment enhances active engagement in the learning process.
To understand the structure of learning environments,
Schönrock-Adema et al. (
2012) recommend Moos’ framework of human environments (
Moos, 1973,
1991). This framework examines all environments through three analytical dimensions: personal development/goal orientation, relationships, and system maintenance/change. The personal development dimension refers to the potential for personal growth within the environment, including its emotional climate and its role in fostering self-esteem. The relationship dimension pertains to the nature and quality of social interactions, reflecting the level of engagement, cooperation, and mutual support among individuals in the environment. The system maintenance/change dimension encompasses the degree of structure, clarity, and openness to change within the environment, including its physical characteristics.
Building on Moos’ framework,
Rusticus et al. (
2023) applied these dimensions to the context of university learning environments. The personal development dimension encompasses factors that enhance students’ motivation both within and beyond the classroom, including engagement in learning and work–life balance. The relationship dimension highlights academic and social support mechanisms, such as faculty guidance, peer interaction, and collaborative learning. Finally, the institutional structure corresponds to Moos’ system maintenance and change dimension, encompassing physical spaces, institutional expectations, and the overall cultural climate, addressing aspects such as the significance of small class sizes and the sense of community.
In the present study, drawings were utilized to explore how pre-service teachers conceptualize an ideal learning environment in which instructional activities are implemented.
1.2. The Role of Drawings in Educational Research
Drawings serve as a unique tool for uncovering the perceptions of learning environments. They not only provide insights into the content being represented but also reveal aspects of the individual’s personality, knowledge level, skills, beliefs, and attitudes (
Damianov, 2022).
Weber and Mitchell (
2002) emphasize that drawings can expose thoughts that are difficult to articulate, subconscious elements, and abstract ideas that may be challenging to grasp. Therefore, drawings are particularly valuable for individuals who struggle to express their thoughts verbally or in writing (
Briell et al., 2010).
In educational research, drawings are widely used to assess student and teacher perceptions. For instance, the Draw-a-STEM Learning Environment (D-STEM) tool, designed to examine university academics’ perceptions of STEM education, has revealed a limited understanding of interdisciplinary learning among participants (
Hatisaru et al., 2023). Similarly, elementary students’ drawings of their geometry classrooms have indicated a teacher-centered environment with limited interaction, highlighting the role of drawings in assessing the psychosocial dimensions of classroom climate (
Kuzle, 2023). Findings derived from pre-service teachers’ drawings have demonstrated changes in their perceptions of past, present, and idealized future classroom experiences (
Albert, 2012).
For children and adults, drawings provide a valuable approach to accessing individuals’ imagination and understanding their perspectives.
Vygotsky (
2004) argues that drawings serve as one of the most accessible means for children to express situations that concern them. Children can convey their thoughts and perceptions more clearly through drawings, making them a crucial tool for understanding emotions and ideas (
Chang, 2012;
Hope, 2008).
McHatton et al. (
2014) further assert that students’ drawings of learning environments offer valuable insights that may contradict teachers’ perceptions, playing a critical role in identifying factors that either support or hinder learning.
Overall, drawings represent a powerful and creative approach for gaining in-depth insights into perceptions of learning environments and enhancing educational practices.
1.3. Theoretical Framework
Teacher perceptions play a fundamental role in shaping the physical, social, and pedagogical characteristics of learning environments. These perceptions not only influence the design of classroom settings but also determine their impact on learning.
Woolner and Hall (
2010) emphasize that noise levels in physical learning environments can negatively affect students’ learning experiences. Similarly,
Byers et al. (
2018) explore the influence of physical settings on pedagogical transformation, highlighting the potential of innovative learning environments to reshape teachers’ instructional approaches.
Tunçsiper and Mutlu (
2020) argue that teacher perceptions tend to focus primarily on physical aspects, directly affecting classroom design and instructional practices. In this regard,
Dalinger et al. (
2024) demonstrate that teachers’ perceptions of classroom conditions influence job satisfaction and professional competence, with positive classroom climates enhancing teacher motivation. Likewise,
Poyato-Nunez et al. (
2024) emphasize that well-designed physical learning environments support innovative teaching approaches, thereby enriching classroom practices.
Beyond the physical environment, teacher perceptions also influence the social and pedagogical dimensions of learning spaces.
Stăncescu et al. (
2016) emphasize that student-centered approaches, which take into account prior knowledge, contribute to the development of learning environments that promote collaboration and communication skills. Integrating technology into educational settings plays a crucial role in this process. For example,
Ozkan Bekiroglu et al. (
2022) argue that flexible, technology-enhanced learning environments promote cognitive and emotional engagement, strengthening teacher–student interactions. In this context, teachers’ skills and competencies significantly shape how they manage technological integration and define their roles within learning environments.
Moos (
1974) provides a comprehensive framework for analyzing learning environments by identifying three key dimensions that structure human environments: relationship dimensions, personal development or goal orientation dimensions, and system maintenance and change dimensions. Relationship dimensions reflect the nature and intensity of social interactions, personal development dimensions emphasize opportunities for growth and self-esteem, and system maintenance/change dimensions highlight structure, organization, and adaptability within an environment (
Insel & Moos, 1974). In the context of this study, which examines pre-service teachers’ perceptions of ideal learning environments, Moos’ model serves as a foundational framework. Understanding how pre-service teachers conceptualize teaching methods, student roles, and classroom structures aligns with the three dimensions of Moos’ model. For instance, their preferences for collaborative activities reflect the relationship dimension, their emphasis on student-centered learning relates to personal development, and their views on classroom organization correspond to system maintenance/change. Moreover, findings from previous research indicate that a lack of community within a learning environment can negatively impact identity and engagement (
Rusticus et al., 2023), reinforcing the need for environments that foster meaningful interactions and a sense of belonging.
Stylianidou et al. (
2020) assert that the incorporation of augmented reality and alternate reality games into education, in alignment with inclusive education principles, offers accessible and transformative learning experiences. Similarly,
Hasanein and Sobaih (
2023) highlight that artificial intelligence tools such as ChatGPT serve as versatile resources in dynamic learning environments. The effective utilization of such innovative technologies is closely linked to teachers’ pedagogical competencies. For instance,
Dag et al. (
2019) report that teachers who adopt active learning models exhibit more positive perceptions in areas such as cognitive awareness, collaboration, and engagement. Similarly,
Zhang and Morselli (
2016) emphasize that teachers’ subject matter knowledge and pedagogical skills shape technological integration processes and overall instructional effectiveness.
Research focusing on the social and pedagogical dimensions of online and interactive learning environments underscores the importance of fostering student engagement in instructional processes.
Lasekan et al. (
2024) argue that sustainable online learning depends on high-quality content delivery and interactive pedagogical practices. This aligns with
Anagun’s (
2018) assertion that teachers equipped with problem-solving, critical thinking, and collaboration skills create more effective learning environments. Similarly,
Almusharraf (
2024) emphasizes that enhancing the usability of learning management systems significantly contributes to increased student satisfaction and engagement.
Niemi (
2021) further emphasizes the importance of socially responsive learning environments that prioritize students’ needs in shaping learning experiences.
Teachers’ competencies play a pivotal role in effectively integrating the social, pedagogical, and technological dimensions of learning environments.
McMinn et al. (
2021) report that pre-service teachers’ self-efficacy in mathematics teaching and their beliefs about mathematics directly impact student engagement and instructional processes. In this regard, teachers’ positive perceptions, supported by strong pedagogical skills, contribute to the success of innovative learning environments.
These studies demonstrate that teachers’ perceptions shape learning environments and influence students who share these spaces.
Magen-Nagar and Steinberger (
2017) found that students’ perceptions of innovative learning environments align with the constructivist approach, emphasizing student engagement, research opportunities, collaboration, teacher support, and technology use. Notably, alignment between teacher and student perceptions of learning environments contributes to a positive classroom climate. However,
Könings et al. (
2014) report that while teachers ideally envision student-centered and supportive learning environments, their perceptions often do not align with those of students. According to researchers, this misalignment may lead to motivational and academic challenges.
Visual representations, particularly drawings, are a powerful tool for uncovering individuals’ perceptions. Drawings not only reflect an individual’s knowledge level but also reveal their beliefs, attitudes, and emotions (
Damianov, 2022).
Kuzle (
2023) examined elementary school students’ psychosocial perceptions of mathematics learning environments through drawings.
Farmer et al. (
2018) used this method to investigate students’ emotional experiences and social interactions within classrooms. Numerous studies based on children’s drawings suggest that drawings reflect children’s beliefs (
Anning, 2004), mathematical perceptions (
Matney et al., 2023), and attitudes toward mathematics (
Quane et al., 2023). In addition to revealing students’ perceptions of their current learning environments, drawings can also illustrate their mental representations of ideal learning spaces. For instance,
Bland and Sharma-Brymer (
2012) analyzed Australian children’s drawings of ideal learning environments, examining school features and learning space preferences. Their findings suggest that children’s ideas can inform the creation of spaces that foster more engaging pedagogical interactions and student-centered instructional styles.
Beyond children’s drawings, adult-generated drawings also provide valuable insights (
Barrantes-Elizondo, 2019). Supporting this notion,
Satyam et al. (
2022) argue that drawings can facilitate meaningful discussions by offering pre-service teachers experiential learning opportunities.
Kuvac and Koc (
2023) used drawings to explore how STEM education shapes pre-service teachers’ perceptions of engineering.
Wescoatt (
2016) examined pre-service teachers’ mental models while engaging with mathematics through drawings.
Y. C. Lin (
2022) emphasized the role of drawings in understanding pre-service teachers’ beliefs, pedagogical knowledge, and emotions related to mathematics.
Eroğlu and Arslan (
2024) employed drawings to investigate pre-service teachers’ beliefs about ideal mathematics learning environments.
Recent studies have demonstrated that drawings can serve as a powerful methodological tool for uncovering PSTs’ prior knowledge, attitudes, and evolving professional identities (
Keren-Kolb & Fishman, 2006;
Akerson, 2016;
Katz et al., 2011).
Keren-Kolb and Fishman (
2006) emphasized that teacher education programs face challenges in preparing PSTs for technology integration, partly due to the deeply ingrained prior beliefs they bring into their training. Their study utilized drawings and interviews to illuminate these beliefs, offering a qualitative alternative to traditional survey-based approaches. Similarly,
Akerson (
2016) investigated PSTs’ perceptions of mathematics through pre- and post-field experience drawings. The findings highlighted shifts in emotional responses, learning environments, and engagement with mathematics, suggesting that structured field experiences can positively influence PSTs’ perspectives. In science education,
Katz et al. (
2011) explored how participation in informal afterschool science internships influenced PSTs’ professional identities. Their drawings and narratives revealed a transition from teacher-centered to student-centered instructional approaches, emphasizing inquiry-based and collaborative learning.
These studies collectively demonstrate that drawings serve as a valuable tool for understanding individuals’ perceptions of their current learning environments and their idealized visions of such spaces. Therefore, drawings offer a creative and effective method for enhancing learning environments.