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Статья опубликована в рамках: Научного журнала «Студенческий» № 34(288)

Рубрика журнала: Педагогика

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Библиографическое описание:
Melsov A., Amangali M. INTEGRATION OF PSYCHOLOGICAL THEORIES IN HIGHER EDUCATION PEDAGOGY // Студенческий: электрон. научн. журн. 2024. № 34(288). URL: https://sibac.info/journal/student/288/345616 (дата обращения: 21.11.2024).

INTEGRATION OF PSYCHOLOGICAL THEORIES IN HIGHER EDUCATION PEDAGOGY

Melsov Arsen

master’s student, Astana IT University,

Kazakhstan, Astana

Amangali Muratali

master’s student, Astana IT University,

Kazakhstan, Astana

ИНТЕГРАЦИЯ ПСИХОЛОГИЧЕСКИХ ТЕОРИЙ В ПЕДАГОГИКУ ВЫСШЕГО ОБРАЗОВАНИЯ

 

Мэлсов Арсен Адилханович

магистрант, Astana IT University,

РК, г. Астана

Амангали Муратали Асылбекович

магистрант, Astana IT University,

РК, г. Астана

 

ABSTRACT

This article explores how psychological theories such as Self-Determination Theory (SDT), Cognitive Load Theory (CLT), Constructivist Learning Theory, and Bloom's Taxonomy are embedded into modern higher education pedagogies. Through a comprehensive mixed-methods study, including both quantitative surveys and qualitative interviews, the research investigates the impact of these theories on student motivation, cognitive engagement, and learning outcomes. The results highlight key insights and areas for further pedagogical improvement.

АННОТАЦИЯ

В статье рассматривается, как психологические теории, такие как теория самодетерминации (SDT), теория когнитивной нагрузки (CLT), конструктивистская теория обучения и таксономия Блума, интегрированы в современную педагогику высшего образования. На основе комплексного исследования с использованием количественных опросов и качественных интервью анализируется влияние этих теорий на мотивацию студентов, их когнитивную активность и образовательные результаты. Полученные данные раскрывают ключевые выводы и отмечают направления для дальнейшего совершенствования педагогической практики.

 

Keywords: psychological theories, Self-Determination Theory (SDT), Cognitive Load Theory (CLT), Constructivist Learning, Bloom's Taxonomy, Higher education, Student motivation, Pedagogy, Learning outcomes, Cognitive engagement.

Ключевые слова: психологические теории, теория самодетерминации (SDT), теория когнитивной нагрузки (CLT), конструктивистское обучение, таксономия Блума, высшее образование, мотивация студентов, педагогика, образовательные результаты, когнитивная активность.

 

Introduction

Over the last few decades, higher education has experienced a serious revolution impelled by the diversity of learning needs in the globalization and digitization era. Contemporary pedagogics is far from relying on traditional methodological approaches to instruction but rather integrates psychological insights into fostering deeper learning and student engagement. With theories of motivation, cognition, and development already at work, educators will be able to provide the optimal learning environments required for each student with a view toward improving their success within higher education.

One of the central psychological theories that has great impacts on higher education pedagogies is Self-Determination Theory [1]. The self-determination theory emphasizes intrinsic motivation as an essential ingredient in persuading students to achievement. In SDT, students would therefore be most motivated if their learning environments nurture autonomy, competence, and relatedness. Hence, today educators try to plan courses and assessments in a way that the students consider learning as self-directed and, hence, their own responsibility during their academic tenure.

Besides motivation, cognitive theories have rearranged the manner in which educators plan learning activities. Cognitive load theory [3] deals with the mental effort required to process information. The effective design of instruction, under this principle, means a method of balancing loads with the view not to overload students beyond their capacity to process information. The clear instructional materials by instructors using the principles that underlie cognitive load can facilitate how students process and retain information. Another important area in which integrating psychological insights into pedagogy in higher education involves the use of constructivist theories of learning.

Bruner proposed that students learn best by an active process of constructing their own knowledge rather than by passive reception of information. Probably one of the most fashionable approaches to teaching at the higher education level today is to have students explore problem-solving, critical thinking, and collaboration for deepening their knowledge. Educators can foster intellectual growth and a sense of personal relevance in the studies of students by creating learner-centered environments. Finally, Bloom's Taxonomy, though initially published in 1956, remains one of the key tools educators use for designing curricula that foster higher-order thinking skills.

This hierarchical model of cognitive processes, from lower-level knowledge recall to complex evaluation and creation, has continued to guide educators in developing learning objectives and assessments. Using Bloom's Taxonomy as a guide, instructors are able to scaffold learning from basic understanding to higher levels of analysis and application. These psychological insights into how students learn and what motivates them, taken together, provide a rich framework for modernizing higher education pedagogies. The idea is to help educators devise teaching strategies, improving academic performance and lifelong learning.

Materials and methods

This research will therefore combine both quantitative and qualitative approaches in a comprehensive investigation into the pedagogies of higher education institutions regarding their application of psychological theories and their consequence for learning motivation, cognitive load, and eventual academic performance. Quantitative data from questionnaires are coupled with qualitative insights in this study to provide a robust and multi-layered look into how current educational strategies are informed by major psychological theories like SDT, CLT, Constructivist Learning Theory, and Bloom's Taxonomy.

Quantitative Survey and Data Collection

The size of the participants for this research study was 100 to determine students' experiences and perceptions. Stratified random sampling was used to select respondents to ensure the representativeness of research participants, including students of various academic disciplines and institutions. The main objective of this questionnaire was to establish the degree to which students encounter pedagogical practices guided by psychological theories in their everyday learning environment and to determine how practice affects their academic engagement, cognitive processes, and overall learning outcomes.

In developing this questionnaire, a total of 30 questions on the Likert scale were divided into four parts for those which correspond to theoretical frameworks that are to be discussed within a paper.

Motivation and autonomy: These questions measure the intrinsic motivation and perceived autonomy of students with regard to their school experience. Based on the Self-Determination Theory by Deci and Ryan [1]. Participants responded to items reflecting their perceived autonomy, competence, and relatedness within the learning environment. For example, students were asked to report the extent to which they feel free to take responsibility for their learning, that their skills are sufficiently challenged, and that the schoolwork is personally meaningful. These items give an indication of the degree of autonomy-supportive teaching practices and provide a valuation of student motivation associated with such environments.

Cognitive Load and Instructional Design: In the Cognitive Load Theory section, the clarity, complexity, and structure of the instructional materials were discussed. Participants were asked to estimate the perceived difficulty of course content and questions targeting the capture of cognitive overload instances in instructional design. The survey, in fact, attempted to assess how students would process and retain information in different conditions of cognitive load and thus provided vital insights into the sensitive balance between instructional design and cognitive capacity.

Constructivist Learning and Active Engagement: This part of the questionnaires [5] investigated the level at which students were involved in active and problem-based learning and collaborative. It considered questions like the frequency at which students took part in active learning, emphasized problem-solving, and encouraged critical thinking. These variables have been measured to ascertain whether students are encouraged to be constructively active in knowledge building as opposed to receiving it passively.

Bloom's Taxonomy and Higher-Order Thinking: The last section of the questionnaire investigated how the learning environments had been structured to engage students in higher-order thinking [6]. Participants rated the degree to which they had engaged in tasks that required analysis, evaluation, and creation beyond lower-order activities of remembering and understanding. This section was supposed to probe whether the curricula are designed to provide scaffolding of learning towards progressively higher levels of cognitive engagement.

Descriptive and inferential statistics were thus conducted for the responses in the survey. With a focus on the correlations among students' perceived autonomy, cognitive load, active engagement of higher order thinking, and their reported academic satisfaction and performance. It was this quantitative data that provided empirical evidence upon which the effectiveness of psychological insights into shaping learning experiences depended.

Data Analysis

Quantitative data gathered through the questionnaires were analyzed using SPSS software. Descriptive statistics were used to summarize the key findings, and Pearson's correlation analysis was carried out to test the relationships among various dimensions of integrating psychological theory: motivation, cognitive load, active learning, and higher-order thinking in relation to student outcomes. Such analysis in this respect provides an overarching view of how those aspects of the psychological principle are interlinked regarding the students' academic success. The data of the questionnaires were further divided by the demographic variables of age, gender, and academic discipline to test whether differences existed in students' experiences.

Thematic analysis was done on qualitative data from interviews with educators and curricular analysis. This approach identified recurring themes and patterns in how the insights of psychology were embedded into pedagogical practice. Some of the themes included autonomy support, instructional clarity, managing cognitive load, and promoting higher-order thinking. Indeed, these have allowed for deep contextual understanding of the challenges and opportunities of educators in integrating these theories into their teaching.

This study brings together the methodologies of survey and case study in a comprehensive inquiry into the way in which psychological theories are applied in higher education; it provides useful insights about the relationship among pedagogy, student motivation, and academic performance.

Research results and discussion

This questionnaire, which was administered to the respondents, studied the inclusions of psychological insights into contemporary higher education pedagogies. It was intended to elicit students' perceptions of how actual contemporary educational practices conformed to motivational, cognitive, and constructivist theories. The instrument also investigates how these pedagogical strategies influence learning outcomes and overall academic performance. These findings bring important insights into the value that psychological theories hold for framing higher education and the perceived consequences for engagement, understanding, and student success.

Motivation and Autonomy: The Contribution of Self-Determination Theory

The first section of the questionnaire assessed motivation, autonomy, and the learning environment using the SDT [1]. In the responses, 78% of participants agreed or strongly agreed that their instructors provided enough autonomy in learning, enabling them to choose methods that best fit their needs. This gives some credibility to the SDT argument that providing more autonomy will enhance intrinsic motivation, thus placing the students in an environment where they feel responsible and want to take ownership of their education. Autonomous students will involve themselves in the present matter on a deeper level since learning is self-sustained and not imposed.

About competence, 81% of the respondents felt capable of success owing to challenges imposed by their coursework. This is a positive reflection of instructors' efforts in terms of task design appropriately challenging without being overwhelming. These findings confirm that perceived competence is a fuel for intrinsic motivation, since students indicated that they felt more enthusiastic about learning when they perceived themselves as capable and when the activity was scaffolded to their degree of ability.

However, only 65% of participants agreed that the learning environment fosters collaboration and contact with colleagues, which could indicate a point on which to work. According to SDT, relatedness-the need for positive contacts with others-is an ingredient of intrinsic motivation. In turn, underperformance in this dimension seems to suggest that educators may have to consider applying more collaborative activities and peer interactions with a view to building a better sense of community within the class and, thereby, achieving motivational and persistence outcomes.

In correspondence with the theory, 85% of the respondents reported that their course content was personally meaningful. This said, it can be estimated that the real relevance of educational material in possible future scenarios or to personal interests highly increases motivation. This high percentage implies that modern pedagogical practices, combined with influences of psychological insights, may enhance student motivation and hence achieve positive academic outcomes.

Cognitive Load and Instructional Design: The Application of the Cognitive Load Theory

This section of the survey research was devoted to the issues related to the Cognitive Load Theory, which is based on the idea that for effective learning to take place, cognitive load should be managed very cautiously [3]. As appears from the response, most instructors try to design course materials in a way to reduce excessive cognitive load whereby complex ideas become less burdensome to understand by the students. Specifically, 74% of the respondents agreed that the course materials were structured in a way that it became easier for them to understand the difficult concepts. That signals the role of instructional design in reducing extraneous cognitive load, which is important for fostering deep learning.

However, a sizeable minority-34%-reported sometimes having difficulty keeping up with the volume of information provided, indicating that for some students, cognitive overload can indeed be problematic. A call for balance between the provision of essential information and the prevention of a cognitive burden that may overwhelm students arises from this finding. Assignments or lectures introducing too many new ideas in short lengths of time did overwhelm some students.

Interestingly, 79% of the students agreed that the assignments were doable within the set time, thus showing that overall, educators usually pace their lessons and assignments well enough to match the students' cognitive ability. This result thus supports the assertions of CLT-when structuring learning activities, sensitivity to the limitations of working memory, thereby not overloading a student with too much information at once, should be considered [4].

Moreover, 72% of the respondents provided information that the instructions for assignments were clear and easy to follow, proving that educators generally are conscious of the need to avoid extraneous cognitive load through the structuring of instructions in a concise and organized manner. However, clarity of instructional materials and reducing cognitive complexity of tasks are areas that need further development to support the remaining 28% who show difficulties in understanding expectations for assignments.

Active Learning and Construction of Knowledge: Constructivist Learning Theory

The third section of the questionnaire examined the constructivist approach to learning-standpoint, emphasizing participatory activity and knowledge construction inspired by Bruner and Vygotsky. Results indicate that there is an overwhelming endorsement of the constructivist paradigm for learning, as evidenced in the response that 83% of the students are actively made to participate in class discussions and solution-finding activities, meaning that this high percentage is an indictment of educators' success in fostering student engagement via a learner-centered approach.

Further, 76% of the students felt that group activities helped them to understand the course material better. This justifies how group learning can actually bring about deeper understanding and develop critical thinking in students, both elements forming the constructivist theory. In this process, through groupwork, students interact socially and build knowledge for themselves by applying it in practical scenarios and learning from perspectives of their peers.

Interestingly, 88% of the surveyed subjects felt that they learned more when participating in practical projects or case studies-an undisputed endorsement of experiential learning. These findings depict how active learning strategies-problem-solving and real-world application-are crucial to intellectual growth and retention of knowledge. This would further suggest that embedding more interactive and practical work within the curriculum may considerably improve their learning experience.

Yet 63% also thought that tutors could do more to bake reflective activities into course work such as asking learners to consider how they might use what they had learned in new situations. Reflective learning is at the heart of constructivist pedagogies: it enables learners to work their way toward mastery by being appropriately reflective about how the learning might be used in other contexts. This gap in practice may result in shallow construction of knowledge and limit the ability to apply learning in broader contexts.

Higher-Order Thinking and Learning Outcomes: The Use of Bloom's Taxonomy

The final section of the survey focused on higher-order thinking, framed by Bloom's Taxonomy, which remains one of the foundational tools in developing cognitive skills beyond basic knowledge recall. These figures can also be interpreted from the survey results: 86% agreed that courses encouraged critical thinking and deeper analysis of course material, reflecting the success of Bloom's framework in helping educators develop curricula that promote higher-order cognitive skills. This is an encouraging sign that contemporary pedagogical practices foster intellectual growth beyond surface-level learning.

In the related question about whether the assignments required students to "evaluate different perspectives or arguments," 78% agreed. It seems that instructors are pushing students to evaluate-a higher-level skill on Bloom's hierarchy-and thus helping to create more challenging academic experiences, such as those that push students toward synthesis and toward critical thinking about diverse perspectives.

While 69% of the responding students indicated that they were often asked to create new knowledge, such as projects, essays, or presentations, this lower percentage suggests that, in fact, higher education curricula could place even more emphasis on creative tasks. Creating new knowledge is considered the highest level of Bloom's cognitive processes, and underrepresentation of this aspect in the data suggests that current pedagogical strategies may be more geared toward analysis and evaluation rather than fostering creative output.

Of those students, 71% also indicated that their courses were scaffolded to build critical thinking/problem-solving skills progressively. This scaffolding approach reflects the successful application of Bloom's principles, whereby students can develop their skills from lower-order to higher-order cognitive processes throughout their academic journey.

Discussion and Implications

The results of the survey paint a complex but largely positive picture of the role that psychological insights play in modern higher education pedagogy. It therefore seems that an integrated approach of Self-Determination Theory, Cognitive Load Theory, Constructivist Learning Theory, and Bloom's Taxonomy works for the greater number of aspects in course design and instruction. Still, there are areas which need further improvement in the development of relatedness and collaboration, reduction of cognitive overload, facilitation of reflection in learning, and allocation of more hours to creative tasks.

The high levels of autonomy and competence reported by the student’s point to the successful application of motivational theories that enhance intrinsic motivation-a requirement for long-term engagement and success. However, the relatively lower scores in relatedness underscore the need for educators to create more collaborative and peer-based activities that can enhance interactions among learners themselves as per SDT premises.

While the cognitive load is largely maintained at appropriate levels, in that a majority of the students consider the workload justifiable and the instructions clear, the problem of cognitive overload is still an issue for some students. This would therefore point to a sustained need for educators to continuously redevelop and refine their instructional design approaches to match information complexity, besides reorganizing information in a manner that helps students process and retain information best.

Finally, the acceptance of more interactive and stimulating learning techniques themselves is an indication that constructivist approaches are important in developing deeper levels of engagement and knowledge construction. However, complete reinforcement of reflective learning and more creative activities that, more specifically, foster use of knowledge in new situations, would better optimize learning outcomes and prepare learners for the challenges of today's workplace.

Conclusion

The research served as a means of getting the respective insight into how psychological theories have been integrated into modern pedagogy at higher education. Results of the survey indicate that current educational practices show considerable correspondence with major psychological frameworks-the Self-Determination Theory, Cognitive Load Theory, Constructivist Learning Theory, and Bloom's Taxonomy. Most of the respondents gave feedback on experiencing autonomy, competence, and active engagement with their learning and are testimony to the successful application of these theories in promoting intrinsic motivation, reducing cognitive load, and fostering knowledge construction.

Results also shed light on areas of improvement that need attention, such as the facilitation of collaborative learning, reduction of cognitive overload, and reflective and creative learning. Improvement in these areas would add to the overall enhancement in academic experience and provide critical thinking, problem-solving, and creativity skills to students that are necessary to survive in today's world.

Overall, the embedding of psychological insights into pedagogies has been effective in improving students' learning experiences at higher education. However, there is still room for innovation and refinement in implementing those theories in the classroom. These findings may serve as a foundation upon which educators construct a more holistic and engaging learning environment, which supports students' academic and personal development.

 

References:

  1. Deci, E. L., & Ryan, R. M. (2000). The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior. Psychological Inquiry, 11(4), 227-268.
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  3. Mayer, R. E. (2005). Cognitive Theory of Multimedia Learning. In R. E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (pp. 31-48). Cambridge University Press.
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  5. Bruner, J. (1966). Toward a Theory of Instruction. Harvard University Press.
  6. Bloom, B. S. (1956). Taxonomy of Educational Objectives, Handbook I: The Cognitive Domain. Longman Green.
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