Research Question and Theoretical Framework

This contribution addresses a central and enduring question in educational research: Under what motivational conditions does effective learning occur, particularly in formal educational contexts where intrinsic interest cannot be assumed? Building on recent developments in cognitive neuroscience, the study revisits dominant motivational frameworks in education, most notably Self-Determination Theory (SDT), and proposes an alternative theoretical perspective for understanding motivated learning.

The core research question guiding this work is:

How can insights from the cognitive neuroscience of memory refine our understanding of motivation in learning, and how might these insights inform the design of educational environments that support effective learning even in the absence of intrinsic motivation?

SDT has had a strong influence on European and international educational policy and practice, particularly through its emphasis on autonomous (intrinsic, identified, and integrated) motivation as a prerequisite for deep and meaningful learning. While the value of autonomy-supportive environments is well established, the theory has been increasingly questioned with regard to its applicability in everyday classroom settings, where learners frequently encounter repetitive tasks, externally defined goals, and content of low initial interest. These challenges are shared across educational systems internationally, making the question of how to sustain learning motivation highly relevant beyond any single national context.

The theoretical framework of this study draws on recent neuroscientific research on multiple memory systems and neuromodulatory processes involved in learning. Rather than conceptualizing motivation primarily along an intrinsic–extrinsic continuum, the framework distinguishes between two types of motivational goal states-interrogative and imperative-and the distinct neural systems they engage. Interrogative goals are associated with exploratory, reward-oriented learning processes, supported by dopaminergic modulation of hippocampal activity, leading to the formation of rich, relational memory representations. In contrast, imperative goals, centered on punishment avoidance and fear of failure, are associated with amygdala-driven modulation of perirhinal cortex processes, resulting in more fragmented, item-based memory representations.

From this perspective, the effectiveness of learning is not determined solely by whether motivation is intrinsic or extrinsic, but by whether learning environments activate reward-based or punishment-based neural pathways. This reframing allows for a more nuanced understanding of motivation that aligns with empirical findings from cognitive neuroscience and responds to critiques of SDT raised in international research.

A key educational implication explored in this work concerns the design of learning and assessment environments. Drawing on examples such as gamification, the framework highlights how educational settings can reduce the salience of failure, increase opportunities for repeated success, and thereby promote interrogative goal states. Such design principles are particularly relevant across diverse European and international educational systems, where standardised testing, high-stakes assessment, and curricular constraints often heighten anxiety and undermine sustained engagement.

By integrating neuroscientific insights with educational theory, this study contributes to ongoing international debates on motivation, learning, and instructional design. It offers a theoretically grounded alternative framework that complements existing motivational theories and provides practical implications for educators, researchers, and policymakers working in varied cultural and institutional contexts.

This contribution is based on a theoretical and integrative research methodology, drawing on a systematic and critical synthesis of literature from educational psychology, cognitive neuroscience, and learning sciences. Rather than reporting new empirical data, the study aims to advance theoretical understanding by re-examining dominant motivational frameworks in education through insights derived from neuroscientific research on learning and memory. The primary sources used include peer-reviewed empirical and theoretical studies from international journals in the fields of motivation research, cognitive neuroscience of memory, and educational theory. In particular, the analysis builds on neuroscientific models of multiple memory systems, neuromodulatory processes (e.g., dopamine-based reward signaling and amygdala-based threat processing), and their implications for learning under different motivational goal states. These sources are integrated with foundational and contemporary literature on Self-Determination Theory and related motivational approaches widely applied in European and international educational research. The methodological approach follows three main steps. First, key assumptions and claims of Self-Determination Theory regarding intrinsic and extrinsic motivation are identified and critically reviewed, with particular attention to their empirical foundations and applicability in formal educational contexts. Second, findings from cognitive neuroscience research are examined to clarify how different motivational conditions influence memory formation, consolidation, and recall through distinct neural pathways. Third, these two bodies of literature are systematically integrated to propose an alternative conceptual framework that distinguishes between interrogative (reward-oriented) and imperative (punishment-avoidance) goal states in learning. To enhance educational relevance, the theoretical synthesis is further informed by illustrative examples from instructional design and assessment practices, such as gamification and low-stakes learning environments. These examples serve as conceptual cases demonstrating how learning contexts can be structured to minimise fear of failure and promote reward-based exploratory learning, rather than as empirical interventions. This integrative methodological approach is particularly suited to addressing complex educational questions that cut across disciplinary boundaries and national contexts. By synthesising research traditions that are often treated separately, the study contributes to international discussions on motivation and learning and offers a theoretically grounded framework with clear implications for educational practice, policy, and future empirical research across diverse educational systems.

This contribution is expected to generate several important theoretical and practical outcomes for educational research. First, it advances a reconceptualization of motivation in learning by moving beyond the intrinsic-extrinsic dichotomy and introducing a distinction between interrogative (reward-oriented) and imperative (punishment-avoidance) goal states. Grounded in cognitive neuroscience research on memory systems, this framework offers a more precise explanation of how motivational conditions shape learning processes. A key expected outcome is a clearer understanding of why learning environments that reduce fear of failure and provide repeated opportunities for success tend to promote deeper and more integrated learning. From a neuroscientific perspective, such environments are likely to activate dopaminergic reward pathways supporting hippocampal-dependent associative memory, rather than amygdala-driven processes associated with fragmented, item-based learning. This perspective helps to explain empirical findings that challenge strong claims of Self-Determination Theory regarding the exclusive effectiveness of intrinsic motivation and highlights the importance of task structure and assessment design. At the level of educational practice, the study is expected to inform the design of instructional and evaluative frameworks across diverse educational systems. By emphasising interrogative goal states, the proposed framework supports approaches such as gamification, low-stakes assessment, and iterative learning tasks that allow learners to engage productively without constant threat of failure. These implications are particularly relevant in European and international contexts characterised by standardised curricula and high-stakes assessment. Finally, this contribution is expected to encourage further interdisciplinary research integrating educational psychology and cognitive neuroscience. It provides a conceptual foundation for future empirical studies examining how different motivational goal states influence learning, motivation, and well-being across cultural and institutional contexts.

The theoretical foundation of this contribution is anchored in Self-Determination Theory (SDT) and its central role in contemporary motivation research in education (Deci & Ryan, 1985; Ryan & Deci, 2000; Ryan & Deci, 2020). SDT’s distinction between autonomous and controlled motivation has strongly influenced educational research and policy across Europe and internationally, making it a critical point of reference for the present analysis. At the same time, this work builds on critiques and reassessments of SDT, particularly those questioning the universality of the intrinsic-extrinsic motivation hierarchy and the methodological assumptions underlying reward-related findings (Cameron & Pierce, 1994; Cameron et al., 2001; Reiss, 2005). These studies provide an important backdrop for rethinking how motivation operates in real-world educational settings. The alternative framework proposed in this contribution draws on research from the cognitive neuroscience of learning and memory, especially work demonstrating the existence of multiple memory systems and distinct neural pathways involved in reward-based and threat-based learning (Squire & Wixted, 2015; Eichenbaum, 2017). Central to this perspective are findings on dopaminergic modulation of hippocampal-dependent associative memory and amygdala-related processing linked to punishment avoidance and emotional arousal (Murty & Adcock, 2017; Mather et al., 2016). Additional neuroscientific models linking motivation, curiosity, and reward prediction error to learning further inform the framework (Gruber & Ranganath, 2019; Murayama et al., 2019). These perspectives help bridge motivational theory and learning mechanisms without relying exclusively on intrinsic motivation constructs. Finally, research on gamification and motivational design in education provides an applied context for the theoretical claims (Deterding et al., 2011; Werbach & Hunter, 2012). Together, these references support an interdisciplinary, internationally relevant framework for understanding motivation and learning.