Positive Learning Psychology: Positivity and Success in the Learning Environment
Abstract
Intuitively, learning may seem self-evident, even ubiquitous. However, what, where and how we learn is often beyond our control; this is particularly true for students in school Learning Environments. Convention and policy (e.g., the UK National Curriculum) frequently dictates how ‘formal’ school learning happens and it being viewed a primarily Cognitive endeavour. Further, the strongest voices in shaping learning as a process are not usually the learners themselves – often they are not consulted at all; Freire (1993) refers to this as ‘narrative sickness’. Here, the traditional emphasis on Cognitive aspects is examined using methodologies which focus on students’ authentic voices in their Learning Environments. Mixed Method (e.g., Creswell & Plano Clark, 2018) approaches are used to collect quantitative and qualitative data (e.g., Semi-Structured Interviews, free-text subjective reports, GoalDiary/reflection intervention responses). For qualitative elements, Thematic (e.g., Braun & Clarke, 2006) and Content (e.g., Hsieh & Shannon, 2005) Analysis support development of novel coding processes.
Our findings align closely with educational ideas first proposed by Dewey (1916), emphasising that success in Learning Environments is based on habitual reflection and interactions between educator and pupil. Specifically, we highlight that, for genuine learning success to occur, it is necessary to integrate elements from Positive and Social Psychology with Cognitive processes. Critical factors include Hope (e.g., Snyder, 2002), Agency and Self-efficacy (e.g., Bandura, 2006), Self-Reflection/ Self-Regulation abilities (e.g., Dweck, 2000; Zimmerman & Schunk, 1989, respectively), and Goal-setting behaviours (e.g., Ryan and Deci, 2000). Further, the central role of relationships (peer/peer and student/educator) and past experience is demonstrated. Ultimately, these findings point towards a tentative Positive Learning Psychology approach. Here, successful Cognitive learning is suggested to rely on capacity to ‘lighten’ personal Affective Load; potentially most likely when positive personal resource is strengthened, with associated broadening of the thought-action repertoire (e.g., BBT; Fredrickson, 2001).
Keywords: Positivity; Success; Learning; Agency; Goals.
Chapter 2: General Methodology
Overview
This chapter outlines the methodological approaches used to investigate Positive Learning Psychology (PLP) in a UK secondary school setting. It details the research design, measures, and procedures employed across multiple empirical studies.
Key Methodological Approaches
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Mixed Methods (MM) Research:
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Combines quantitative (e.g., Likert-scale surveys) and qualitative (e.g., textual responses, interviews) data to capture the complexity of learning environments.
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A convergent MM design was chosen to simultaneously collect and analyze both data types, enhancing internal corroboration and depth of insights.
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Data Analysis Techniques:
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Qualitative Analysis:
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The Analysis (TA): Identifies patterns and themes in textual data through coding and categorization.
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Content Analysis (CA): Examines detailed qualitative data (e.g., interviews) to uncover deeper meanings and frequencies of themes.
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Quantitative Analysis:
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Primarily uses frequentist statistics (e.g., t-tests, ANOVAs) for group comparisons and correlations.
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Bayesian approaches are employed selectively to validate findings and reduce Type 1 errors.
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Measures of Individual Differences (IDs)
Five key IDs were measured to understand their impact on learning and success:
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Self-Efficacy (SE): Assessed via the General Self-Efficacy Scale (GSE), measuring belief in one's ability to achieve goals.
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Hope: Evaluated as both a state (State Hope Scale, SHS) and trait (Trait Hope Scale THS), focusing on goal-directed thinking.
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Personality Traits: Measured using the Ten-Item Personality Inventory (TIPI), based on the Big Five model (e.g., Extraversion, Conscientiousness).
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Positive and Negative Affect: Captured via the PANAS scale to gauge emotional states.
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Locus of Control (LoC): Assessed using Rotter’s I-E scale to determine perceived control over life events.
Tutor-time Personal Development Program (TPDP)
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Participants: ~800 students (Years 7–11) from a UK secondary school, with optional task participation (N = 524).
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Design: Convergent MM approach with 11 weekly sessions covering topics like metacognition, motivation, and goal-setting.
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Data Collection:
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Quantitative: Likert-scale ratings and ID measures.
-: Free-text responses to prompts (e.g., "What is learning to you?").
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Findings:
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Personality traits (e.g., Conscientiousness) remained stable, while SE scores increased slightly over time.
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Hope scores were lower than norms and decreased marginally.
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Strong correlations between ID measures confirmed trait consistency.
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Conclusion
The chapter establishes a robust methodological framework for studying PLP, emphasizing the integration of mixed methods to capture the multifaceted nature of learning environments. The TPDP as a foundational dataset for subsequent empirical studies, aiming to bridge gaps in understanding student perspectives on positivity and success.
Chapter 1: Education Positivity and Success
​Overview
This chapter explores the intersection of positivity, success, and learning environments (LEs) in education, drawing from the author’s 20 years of teaching experience and subsequent research. It questions why some students thrive academically regardless of background while others disengage, despite supportive environments. The chapter synthesizes educational psychology, cognitive theory, and positive psychology to propose a Positive Learning Psychology (PLP) framework, emphasizing student-centered success, motivation, and well-being.
Key Themes
1. Defining Success and Positivity in Education
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Success is subjective and often externally imposed (e.g., grades), but students may define it differently (e.g., mastery, personal growth).
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Positivity in learning stems from psychological well-being, hope, and resilience, yet traditional education often prioritizes rote memorization over holistic development.
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Historical perspectives (e.g., Dewey, Maslow, Seligman) highlight the need for learner autonomy, meaningful relationships, and intrinsic motivation.
2. Learning Environments (LEs)
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LEs are multidimensional: physical, social, psychological, and cultural (Moos, 1974).
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Effective LEs foster self-efficacy, peer/teacher support, and clear expectations.
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Critiques note inconsistencies in formal education (e.g., Ofsted’s finding that early secondary years are often "wasted" due to poor LE design).
3. Cognitive and Affective Factors in Learning
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Cognitive Load Theory (CLT): Learning influenced by intrinsic (content difficulty), extraneous (instructional design), and germane (schema-building) loads.
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Affective Load Theory (ALT): Emotions (e.g., hope, self-efficacy) significantly impact motivation and learning outcomes.
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Metacognition and Self-Regulated Learning (SRL): Students benefit from reflecting on their learning processes, setting goals, and monitoring progress.
4. Student-Centered Approaches
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Agency and Self-Efficacy: Bandura’s theories emphasize students’ ability to influence their learning through intentionality, forethought, and reflection.
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Hope and Goal-Directed Behavior: Snyder’s Hope Theory links goal-setting ("pathways") and motivation ("agency") to academic success.
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Growth Mindset (Dweck): Belief in malleable intelligence fosters resilience, while fixed mindsets limit potential.
5. Positive Education (PE)**
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Schools like Geelong Grammar integrate well-being (e.g., gratitude, resilience) into curricula, showing improved student outcomes.
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Gaps remain in applying PP principles (e.g., hope, character strengths) systematically in mainstream education.
Research Aims
The chapter outlines five research questions to guide the thesis:
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How do students define authentic learning and success?
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What factors shape their definitions of success?
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What motivates students in LEs?
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Do students see themselves as self-regulated learners?
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How do students set goals, and how can educators support this?
Conclusion
The chapter argues for a Positive Learning Psychology framework that merges cognitive, affective, and social perspectives. It challenges traditional metrics of success (e.g., grades) and advocates for holistic, student-centered approaches that prioritize well-being, agency, and intrinsic motivation. The subsequent chapters will empirically investigate these themes in secondary school settings.
Key Takeaway: Authentic learning success requires balancing cognitive demands with emotional and social support, empowering students to own their educational journeys.
Chapter 3: Understanding concepts of learning in the school Learning Environment (LE); Student perspectives
Introduction
This chapter explores secondary school students' conceptualizations of learning and success in the LE, emphasizing their perspectives—an often-overlooked area in educational research. The study builds on Rogerian (1969) and Personal Construct Theory (Kelly, 1955), framing learners as active participants rather than passive recipients. While definitions of learning vary, common themes include acquiring new knowledge, retaining and applying it, and deriving personal meaning.
Key Findings
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Conceptualisations of Learning:
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Students defined learning as:
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Acquiring new knowledge (64.96%).
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Building on prior knowledge (9.97%).
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Retaining information (14.81%).
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Applying knowledge (8.83%).
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Deriving personal meaning (17.38%).
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Emergent themes included teacher input (16.81%) and learning from mistakes (2.56%).
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Conceptualizations of Success:
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Success was linked to:
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Retaining information (47.68%).
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Teaching others (28.15%).
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Improved test performance (22.85%).
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Increased independence (17.55%).
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Demographic and Individual Differences (IDs):
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Gender: Females provided more detailed responses and emphasized personal meaning and retention more than males.
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Age: Younger students (Year 7) associated learning more with teacher input, while older students (Year 11) focused on retention.
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IDs: Self-Efficacy (SE Hope, and Personality traits (e.g., Conscientiousness) showed limited influence on learning conceptualizations, contrary to predictions.
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Methodology
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Design: Mixed Methods (MM) approach combining qualitative (free-text responses) and quantitative (ID measures) data.
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Participants: 392 UK secondary students (Years 7–11) from a West Midlands school.
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Analysis: Thematic Analysis (TA) and Content Analysis (CA) identified themes, while inferential statistics (t-tests, ANOVAs) examined group differences.
Discussion
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Alignment with Literature: Students' views mirrored existing frameworks (e.g., Säljö, 1979; Rogers, 1969), but added novel insights (e.g., teacher input).
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Practical Implications:
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Encouraging peer teaching and independent learning may enhance success.
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Male students benefit from structured support in articulating learning goals.
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Limitations:
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Data collection during COVID-19 may have influenced responses.
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Subjective coding and school-specific context limit generalizability.
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Future Directions
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Explore learning conceptualizations in non-school settings (e.g., sports, clubs).
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Develop metrics for student-internalized success measures.
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Conduct in-depth qualitative studies to validate findings.
Conclusion
This study highlights the importance of student voices in defining learning and success. While themes align with broader literature, unique insights (e.g., teacher involvement) offer actionable strategies for educators. The findings underscore the need for holistic, student-centered approaches in educational research and practice.
Next Steps: Chapter 4 will delve deeper into factors like past experiences and resilience, further enriching the framework of Positive Learning Psychology.
Chapter 4: Students’ positivity in learning and learning environments (LE); The roles of past experience, relationships and Resilience
Introduction
The chapter explores students' perspectives on positivity and success in learning environments (LEs), emphasizing the roles of past experiences, relationships, and resilience. While prior research has often focused on teacher or observational viewpoints, this study highlights the scarcity of student-centred qualitative research. Schools are framed as critical spaces for fostering positivity, resilience, and personal development through Positive Psychology (PP) interventions like gratitude, hope, and mindfulness training.
Key Themes
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Past Experiences: Students' current attitudes toward learning are heavily influenced by prior academic and emotional experiences. Positive past experiences correlate with present motivation and resilience, while negative experiences can lead to dis.
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Relationships: Teacher-student interactions are pivotal. Supportive, caring teachers enhance positivity and learning success, whereas negative interactions (e.g., humiliation) undermine motivation. Peer relationships and social interactions also significantly impact students' LE experiences.
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Resilience and Self-Efficacy: Students who view challenges as opportunities for growth (growth mindset) demonstrate higher resilience. Goal-setting and self-efficacy (belief in one’s capabilities) are linked to perseverance and academic success.
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Broaden and Build Theory (BBT): Positive emotions (e.g., hope, pride) broaden cognitive and behavioural resources, fostering long-term resilience and adaptability.
Methodology
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Participants: Seven Year 12 students (ages 16–17) from a UK secondary school, retaking GCSE English/Math.
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Design: Mixed methods, including online questionnaires (measuring traits like self-efficacy, hope) and semi-structured interviews (exploring learning conceptualizations, positivity, and motivation).
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Analysis: Thematic and content analysis identified patterns in responses, categorized into learner background, past experiences, relationships, and resilience.
Findings
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Learning Definitions: Students associated learning with acquiring new knowledge (71%), applying it (29%), and teacher interaction (86%).
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Barriers to Learning: Family support (71%) was the most sought-after resource when stuck, followed by peers (57%) and teachers (43%).
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Positivity in School: Successful learning (71%) and social interactions (71%) were key to positive experiences. However, 57% noted that successful learning isn’t always enjoyable due to struggles.
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Motivation: Academic success (86%) and family pride (57%) were primary motivators.
-Self-Theories**: Most students (71%) believed perseverance enables learning anything, aligning with growth mindset principles.
Discussion
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Teacher Role: Educators are seen as "gatekeepers" of positivity, with their support crucial for fostering resilience and self-belief.
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Emotional Impact: Past emotional experiences (e.g., pride, failure) shape current behaviours and attitudes.
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Goal-Setting: Structured goals enhance motivation and self-control, particularly when tied to personal or familial aspirations.
Limitations
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Small sample size limits generalizability.
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Contextual factors (e.g., school environment, concurrent academic pressures) may have influenced responses.
Future Directions
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Longitudinal studies to track attitude shifts over time.
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Research on teacher strategies for building positive LEs.
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Deeper exploration of goal-setting’s psychological underpinnings.
Conclusion
The study underscores the interplay of past experiences, relationships, and resilience in shaping students' LE positivity. It advocates for student-centered approaches in education, emphasizing teacher support, emotional scaffolding, and growth mindset cultivation to enhance motivation and success.
Next Steps: Chapter 5 will examine Self-Regulated Learning, tying into themes of self-control and autonomy highlighted in this chapter.
Chapter 5: Understanding Self-Regulation in the school environment: A Student Perspective
Key Themes
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Self-Regulated Learning (SRL):
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SRL involves students actively managing their learning through forethought (planning), performance (task execution), and self-reflection (evaluation).
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Skills like goal-setting, organizing resources, and adjusting strategies are critical for academic success.
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Phases of SRL (Zimmerman, 2002):
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Forethought Phase: Skills like identifying learning needs and planning were rated higher by students.
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Performance Phase: Skills like monitoring mistakes and arranging study spaces were rated lower.
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Self-Reflection Phase: Skills like evaluating success and adjusting strategies were moderately rated.
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Individual Differences (IDs):
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Self-Efficacy (SE): Strongly correlated with SRL skills, especially organization and planning.
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State Hope (SH): Linked to forethought and reflection skills, emphasizing goal-directed energy.
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Personality Traits: Conscientiousness showed the strongest positive correlation with SRL, while Emotional Stability and Agreeableness had weaker or negative associations.
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Demographic Findings:
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Age/Year-Group: Younger (Year 7) and older (Year 11) students reported higher SRL skills than middle-year cohorts, suggesting a U-shaped trend rather than linear progression.
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Gender: No significant differences were found, contradicting some prior research.
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Educational Implications:
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Students struggle most with performance-phase skills (e.g., error monitoring, study environment management).
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Schools should emphasize metacognitive strategies (e.g., reflection, planning) and provide structured support for underdeveloped skills.
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Limitations
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Self-Report Bias: Data relied on student perceptions rather than observed behaviors.
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Sample Constraints: Varied participation rates and pandemic-related disruptions during data collection.
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Simplified Metrics: Likert-scale prompts may lack depth compared to qualitative methods.
Future Directions
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Interventions: Target performance-phase skills (e.g., mistake-monitoring workshops).
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Mixed-Methods Research: Combine quantitative surveys with qualitative insights.
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Teacher Training: Enhance educators’ metacognitive strategies to model SRL for students.
Conclusion
This chapter highlights the importance of SRL in fostering academic success, with actionable insights for educators to support students’ metacognitive growth. By addressing gaps in performance-phase skills and leveraging SE/SH, schools can cultivate more self-regulated, resilient learners.
Next: Chapter 6 explores goal-setting and its role in shaping positive learning outcomes.
Chapter 6: Student weekly Goal-Diary usage and effects on perceived learning Success
Introduction
The chapter explores how Goal-Diaries (GDs) influence students' perceived learning success, focusing on Self-Regulated Learning (SRL) and Goal-Setting Theory (GST). Traditional metrics of academic success often overlook students' self-defined achievements. The study emphasizes metacognitive strategies, such as planning, monitoring, and evaluating learning, which are linked to SRL and student agency.
Methodology
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Participants: 231 Year 7 students (11–12 years old) from a UK secondary school.
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Design: Mixed-method approach with qualitative (Goal/reflection entries) and quantitative (Likert-scale ratings) data collected over 20 weeks.
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Measures:
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Goal Classification: Coded for affect, self-relatedness, location, focus, measurability, definition, and proximity.
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Individual Differences (IDs): Personality traits, Self-Efficacy (SE), State Hope (SH), and self-reported planning/reflection abilities.
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Key Findings
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Goal Engagement:
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Participation declined over time but rebounded after a school holiday, suggesting a "six-week window" for optimal engagement.
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Most Goals were positive, self-related, school-based, academic, measurable, defined, and proximal.
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Goal Types and Outcomes:
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Positive Goals: Associated with higher perceived success, interest, and more social interaction.
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School-Based Goals: Linked to higher success and interest.
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Measurable/Defined Goals: More common and associated with better outcomes.
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Individual Differences:
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Conscientiousness and Openness: Weakly correlated with Goal Success and Interest.
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Self-Efficacy and Hope: Positively influenced perceived success and general school success (pGSS).
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Social Interaction:
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Discussing Goals with others improved Mood, Goal Success, and Interest.
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Goal Sequencing:
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Students struggled with sustained, interconnected Goal-setting, often abandoning or resetting Goals weekly.
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Implications
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Educational Practice: Schools should teach explicit Goal-setting skills (e.g., measurable, proximal Goals) and encourage Goal-related discussions.
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Tool Utility: GDs are practical for fostering SRL and Positivity but may require periodic "resets" to maintain engagement.
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Future Research: Explore age-specific Goal-setting capacities, optimal GD duration, and the role of Place Attachment in Goal outcomes.
Conclusion
The study highlights the potential of GDs to enhance student success and Positivity in learning environments. It provides a reliable coding system for future research and underscores the importance of structured Goal-setting and reflection in education.
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Key Themes: Self-Regulated Learning, Goal-Setting Theory, Positive Psychology, Metacognition, Student Agency.
References
Chapter 7: Understanding concepts of motivation and positivity in the learning environment (LE): Student Perspectives
Key Themes and Findings
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Positive Affect (PA) and Cognition:
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The chapter highlights the well-documented connection between positive emotions and cognitive processes, emphasizing how positivity enhances learning, engagement, and academic outcomes.
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Institutions that foster positivity ("Positive Institutions") are more likely to see student success, as positivity supports performance metrics like engagement, achievement, and competence.
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Theoretical Frameworks:
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Self-Determination Theory (SDT): Intrinsic motivation (e.g., interest in learning, valuing education) leads to better self-regulation and academic outcomes.
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Maslow’s Hierarchy of Needs: Basic needs must be met before higher-order motivations (e.g., self-actualization) can drive learning.
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Social Learning Theory (SLT): Peer and teacher interactions significantly influence motivation and behavior.
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Student Perspectives on Positivity and Motivation:
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Students associate a "positive week at school" with productive learning (41.26%), peer interactions (21.68%), and good mood (16.08%).
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Motivators in the learning environment (LE) are predominantly intrinsic (69.16%), such as personal growth and confidence, while extrinsic motivators (27.44%) like rewards are less common.
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Specific teaching strategies (e.g., feedback, challenging tasks) are noted as motivational by students.
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Individual Differences (IDs):
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Self-Efficacy (SE): Higher SE correlates with viewing "success" as a positivity factor.
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State Hope (SH): Students with higher hope levels are more motivated by positive factors and success-oriented goals.
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Personality Traits: Limited impact on motivation, though openness and conscientiousness show minor associations with specific motivators.
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Challenges and Limitations:
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The study faced constraints due to its school-based setting (e.g., time pressures, attendance issues).
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The coding process, while innovative, sometimes lost nuanced details in student responses.
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COVID-19’s indirect effects on student motivation were noted but not deeply explored.
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Implications for Educators and Policymakers
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Foster Intrinsic Motivation: Encourage student autonomy, goal-setting, and self-improvement.
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Enhance Peer and Teacher Interactions: Positive relationships are critical for motivation and engagement.
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Incorporate Student Voice: Design learning environments that reflect students' expressed needs (e.g., feedback, relevance of tasks).
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Prioritize Mental Health: Mood and well-being significantly impact motivation and should be integrated into educational strategies.
Future Research Directions
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Explore motivation in non-school settings (e.g., sports, hobbies) to understand broader adolescent behavior.
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Investigate actionable strategies for schools to improve positivity (e.g., structured goal-setting, communication).
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Conduct deeper qualitative analyses to capture nuanced student perspectives on motivation.
Conclusion
The study underscores the importance of positivity and intrinsic motivation in the learning environment, aligning with established psychological theories. By centering student voices, it provides practical insights for educators to enhance engagement and success. Future research should build on these findings to develop targeted interventions that address both academic and emotional needs in educational settings.
Chapter 8: General Discussion
Overview
The thesis explores learner perspectives on Positivity and Success within the Learning Environment (LE), addressing gaps in empirical research that often overlook student voices. It integrates educational, cognitive, and positive psychological theories to propose a Positive Learning Psychology (PLP) framework. The research is guided by five central questions about authentic learning, success factors, motivators, self-regulated learning (SRL), and goal-setting behaviours.
Key Findings
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Authentic Learning and Success
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Students define learning as acquiring new knowledge, behaviours, or capabilities that build on prior knowledge, with retention and applicability over time.
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Success is linked to personal meaning, teacher input, and relationships, diverging from traditional performance markers like test scores.
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Affective factors (e.g., emotions, past experiences) significantly influence learning outcomes, suggesting the need to address both cognitive and affective loads.
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Motivation and Positivity
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Intrinsic motivators (e.g., personal goals, relationships) are more impactful than extrinsic rewards.
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Positive learning environments are shaped by productivity, social interactions, and mood, aligning with theories like Broaden-and-Build Theory (BBT) and Self-Determination Theory (SDT).
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Self-Regulated Learning (SRL)
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Students perceive themselves as weaker in performance-phase SRL skills (e.g., monitoring mistakes) compared to planning and reflection phases.
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SRL correlates strongly with self-efficacy (SE) and hope, supporting its role in PLP.
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Goal-Setting Behaviours
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Students naturally set proximal, measurable, and academically focused goals.
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Goal Diary (GD) interventions are effective but require "resets" every six weeks to sustain engagement.
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Successful goal completion boosts hope, SE, and general positivity.
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Role of Individual Differences (IDs)
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Personality traits (e.g., Conscientiousness) showed weaker-than-expected predictive power for learning outcomes.
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Hope and SE were more influential in goal-setting and SRL than IDs like gender or personality.
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Methodological Strengths
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Mixed Methods (MM): Combined qualitative (e.g., thematic analysis of free-text responses) and quantitative (e.g., Likert scales) approaches to capture nuanced student perspectives.
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Semi-Structured Interviews (SSIs): Provided deep insights into student experiences, though limited by small sample sizes.
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School-Based Data: Large-scale participation (e.g., 392 students in Chapter 3) offered authentic voices but posed logistical challenges.
Theoretical Implications
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Positive Learning Psychology (PLP): A proposed framework integrating cognitive, affective, and social factors (see Figure 9). Key components:
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Cognitive Approaches: Direct instruction, cognitive load theory.
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Affective Loads: Emotions, relationships, past experiences.
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Personal Resources: Goal-setting, SRL, hope, and SE.
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Challenges traditional overemphasis on cognitive load by highlighting affective and metacognitive dimensions.
Future Directions
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Student-Centric Research: Explore learning conceptualizations in non-school settings (e.g., sports teams) to assess generalizability.
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BBT in LEs: Investigate how positive emotions broaden thought-action repertoires in educational contexts.
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SRL Interventions: Develop tools to enhance performance-phase skills (e.g., mistake monitoring).
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Goal-Setting: Examine sequential vs. concurrent goal strategies to reduce cognitive overload.
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Longitudinal Studies: Track shifts in positivity, motivation, and SRL over time.
Conclusion
The thesis underscores the importance of student voice in shaping effective learning environments. Key takeaways:
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Talk and Trust: Relationships and communication are central to positivity and success.
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Holistic Support: Educators should address affective loads alongside cognitive strategies.
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PLP Potential: The framework bridges gaps between psychology and education, though further validation is needed.
Final Thought:
"Words have meaning"—authentic dialogue between students and educators fosters resilience, motivation, and enduring success in learning.
Appendices
The Website of Dr. Marc Skelton
Positive Learning Psychology
Background artwork by Lucy Myers-Skelton