Modern pedagogical science has increasingly demonstrated that human cognition does not operate as an empty vessel awaiting passive transmission of data; rather, knowledge is forged through deliberate intellectual struggle, schema integration, and reflective action. Active learning represents this fundamental paradigm shift in instructional design and educational psychology, transitioning the learner from a receptive spectator into an autonomous cognitive agent. By demanding continuous mental synthesis, collaborative inquiry, and dynamic problem-solving, active learning dismantles the century-old hegemony of traditional didactic lecturing to optimize enduring retention and conceptual transfer.
Active Learning
1. Concise Definition
Active learning is an instructional approach and cognitive framework wherein learners engage directly with the educational process through synthesis, analysis, evaluation, and application, rather than passively receiving information from an instructor. Formally operationalized in higher education literature, it denotes any pedagogical strategy that involves students in doing things and thinking critically about the things they are doing.
At its psychological core, active learning requires the mobilization of higher-order cognitive faculties—as classified in revised educational taxonomies—compelling the individual to construct mental models, test hypotheses, and confront cognitive dissonance in real time. Rather than relying on rote memorization or uncritical transcription, students navigate curated tasks that necessitate inquiry, verbal articulation, collaborative negotiation, and self-regulated metacognition.
Within contemporary learning environments, active learning does not denote unguided physical activity or chaotic discovery; instead, it encompasses structured, evidence-based interventions spanning structured peer discussion, problem-based learning, case studies, and iterative formative assessment. Its defining characteristic is the continuous externalization and testing of internal cognitive schemas under the scaffolding of an expert educator.
2. Etymology & Linguistic Origin
The term is a compound construct uniting the adjective "active" and the verbal noun "learning." The word "active" derives directly from the Latin activus, meaning "pertaining to acting or doing," which stems from the past-participle stem of agere ("to set in motion, drive, do, perform"). It entered Middle English via Old French in the mid-fourteenth century, consistently denoting practical, energetic exertion as opposed to contemplative or inert states.
Conversely, "learning" traces its lineage to the Old English leornung ("study, acquiring knowledge"), originating from the Proto-Germanic root *liznojan, which conveys the foundational sense of "to follow a track" or "to gain experience." Historically linked to the Gothic lais ("I know") and the Proto-Indo-European root *leis- ("track, furrow"), the concept inherently conveys an active journey of pathfinding rather than passive absorption.
The specific pedagogical conjunction "active learning" emerged in educational literature during the mid-twentieth century, catalyzed by progressive education movements, before receiving canonical codification in higher education through the seminal 1991 publication by Charles C. Bonwell and James A. Eison, titled Active Learning: Creating Excitement in the Classroom.
3. Pronunciation & Grammatical Form
Pronunciation: In International Phonetic Alphabet (IPA) notation, the term is transcribed as /ˈæktɪv ˈlɜːrnɪŋ/ in standard General American English and /ˈæktɪv ˈlɜːnɪŋ/ in standard Received Pronunciation.
Grammatical Form: Active learning functions syntactically as a compound noun phrase (uncountable noun). In educational literature, it is routinely employed as an attributive modifier or adjective phrase, as observed in "active-learning strategies," "active-learning classrooms," or "active-learning pedagogies." The constituent "active" functions adjectivally to delineate the operational mode of the gerund "learning."
4. Detailed Conceptual Explanation
To fully appreciate the scope and architectural boundaries of active learning, one must contrast it against the historical default of tertiary education: the continuous passive lecture. In a passive modality, cognitive architecture is treated as a unilateral conduit wherein an expert broadcasts encoded knowledge, and the student acts as an audio-visual recording device. Empirical cognitive psychology has thoroughly invalidated this transmission model. Humans possess a severely constrained working memory capacity; continuous auditory and visual input without immediate cognitive processing leads to swift cognitive overload, transient attention spans, and catastrophic decay of working memory traces.
Active learning remediates this architecture by embedding structured retrieval, manipulation, and application into the instructional timeline. The conceptual boundaries of active learning are masterfully delineated by Michelene T.H. Chi and Ruth Wylie through the ICAP framework, which categorizes cognitive engagement into four distinct modalities: Passive, Active, Constructive, and Interactive. Within this taxonomy, "Passive" denotes physical listening or viewing without motor or linguistic response. "Active" involves physical manipulation or focused action, such as pausing a video to take verbatim notes or underlining text. "Constructive" occurs when the learner produces externalized outputs that go beyond the presented information, such as self-explaining, formulating hypotheses, or drawing concept maps. "Interactive" represents the highest tier, wherein two or more learners engage in dialogic, constructive exchanges to co-create novel understandings.
Critically, modern educational theory defines true active learning as encompassing both the *Constructive* and *Interactive* tiers of the ICAP taxonomy. Physical activity alone—such as copying board notes or clicking an interface at random—does not satisfy the standard of active learning if it lacks corresponding cognitive processing. The crucial differentiator is whether the learner is engaged in the deep processing of semantic structures. Deep processing requires restructuring prior knowledge, reconciling anomalous data, categorizing novel inputs, and generating contextual inferences.
Moreover, active learning intrinsically integrates metacognition—the executive monitoring and regulation of one's own cognitive operations. When a student is challenged to solve a problem or explain a principle to a peer, the immediate feedback loop exposes "illusions of competence," which are pervasive in passive listening where an instructor's fluent delivery is erroneously conflated with the student's own subject mastery. By forcing externalization, active learning instantly clarifies boundaries between consolidated understanding and persistent misconceptions.
5. Historical Development
The philosophical underpinnings of active learning extend back to classical antiquity. The Socratic method, documented in Plato's dialogues, utilized structured questioning to dismantle unexamined presuppositions, forcing interlocutors to actively construct philosophical definitions rather than passively accept dogmatic assertions.
During the late nineteenth and early twentieth centuries, the American philosopher and educator John Dewey established the foundational paradigm of progressive education. In works such as Democracy and Education (1916) and Experience and Education (1938), Dewey rejected authoritarian, rote curricula, arguing that education must be grounded in experiential inquiry, practical problem-solving, and reflective thought. Concurrently, developmental psychologists Jean Piaget and Lev Vygotsky laid the psychological groundwork for constructivism, arguing that intelligence develops via adaptive interactions with the environment and sociocognitive mediation.
Throughout the mid-twentieth century, Jerome Bruner popularized "discovery learning," advocating that learners should independently discover concepts and relationships by interacting directly with materials and ideas. However, these theoretical insights remained largely confined to primary and secondary schooling, while higher education remained firmly wedded to the traditional monological lecture.
A decisive structural shift occurred in 1991 with the publication of the ASHE-ERIC Higher Education Report by Charles Bonwell and James Eison. Their monograph, Active Learning: Creating Excitement in the Classroom, synthesized decades of fragmented research and provided higher education faculty with concrete, scalable techniques for transforming lectures into dynamic environments. In the early 2000s, Harvard physicist Eric Mazur pioneered Peer Instruction, a method leveraging conceptual questions and classroom response devices to transform massive physics lecture halls into collaborative debate spaces.
The empirical watershed arrived in 2014 with the publication of a comprehensive meta-analysis by Scott Freeman and colleagues in the Proceedings of the National Academy of Sciences (PNAS). Analyzing 225 studies across Science, Technology, Engineering, and Mathematics (STEM), the authors revealed that active learning increased average examination scores by nearly half a standard deviation and decreased failure rates by 55% compared to traditional lecturing. Freeman famously concluded that if the pedagogical intervention were evaluated under the rigorous ethical standards of a clinical medical trial, continuing to teach through traditional lecturing alone would constitute educational malpractice.
6. Theoretical Foundations
Active learning is grounded in an intersection of constructivist epistemology, cognitive load theory, and sociocognitive frameworks.
Constructivism: Derived from the developmental psychology of Jean Piaget and the social constructivism of Lev Vygotsky, this perspective posits that knowledge cannot simply be poured into a mind; it must be actively synthesized by the learner through assimilation and accommodation. Piaget demonstrated that intellectual growth requires active engagement with challenging cognitive tasks that destabilize existing schemas. Vygotsky expanded this view by framing learning as an intrinsically social process occurring within the "Zone of Proximal Development" (ZPD)—the developmental bandwidth where a student can master complex tasks with peer collaboration or targeted scaffolding that they could not manage independently.
Cognitive Load Theory: Formulated by John Sweller, cognitive load theory emphasizes that human working memory is severely constrained in capacity and duration, whereas long-term memory is effectively unlimited. Working memory can become inundated by excessive "extraneous cognitive load" caused by poorly designed instruction, leaving inadequate resources for "germane cognitive load"—the mental work necessary for schema construction and automation. Thoughtfully orchestrated active learning optimizes this cognitive architecture by segmenting complex content, providing immediate retrieval practice, and distributing cognitive processing across structured social exchanges.
Information Processing and Generative Learning: Richard Mayer's Cognitive Theory of Multimedia Learning and Merlin Wittrock's Generative Learning Theory demonstrate that learners must perform three core cognitive operations for meaningful retention: selecting relevant information, organizing that information into coherent internal representations, and integrating those representations with existing long-term schemas. Active learning demands generative processing; tasks such as summarizing, translating concepts across modalities, predicting outcomes, and generating explanations force students to execute these three cognitive operations systematically.
7. Key Components, Types & Dimensions
Active learning encompasses an extensive spectrum of instructional designs, ranging from quick micro-interventions inside a lecture to comprehensive pedagogical redesigns. The primary dimensions and strategies include:
- Think-Pair-Share: A rapid, low-stakes micro-strategy where the instructor poses an open-ended conceptual question. Students spend one minute reflecting or writing individually (Think), two minutes debating their conclusions with an adjacent classmate (Pair), and subsequently contribute to a synthesized plenary discussion (Share).
- Peer Instruction: Designed by Eric Mazur, this structured technique begins with an instructor delivering a brief concept presentation, followed by a multiple-choice "ConcepTest." Students cast initial individual votes via classroom response technology; if substantial disagreement exists (typically 30–70% correct), students spend several minutes attempting to persuade peers who selected alternative answers before casting a second vote.
- Flipped Classroom Model: An inversion of the traditional instructional cadence wherein foundational content delivery (such as pre-recorded lectures or readings) occurs outside class time, reserving face-to-face sessions entirely for interactive problem-solving, collaborative inquiry, and complex case analysis.
- Problem-Based Learning (PBL): A student-centered instructional paradigm wherein learners work in small, collaborative groups to resolve complex, ill-structured, real-world problems. PBL does not frontload content; rather, students identify their own learning deficits, conduct targeted research, and apply emerging understandings directly to formulate solutions.
- Process Oriented Guided Inquiry Learning (POGIL): A highly structured team-learning methodology where students work in self-managed teams with defined roles (e.g., Manager, Spokesperson, Recorder, Reflector) through carefully sequenced analytical models designed to guide them toward inventing conceptual rules independently.
- Jigsaw Technique: A cooperative learning structure where a larger problem is divided into sub-components. Students first gather in "expert groups" to master their assigned domain, before regrouping into "home groups" composed of one expert from each sub-topic, obligating each student to teach their specialized knowledge to their peers.
- Case-Based and Scenario Learning: The rigorous analysis of authentic, contextualized professional scenarios requiring the inductive application of abstract theoretical frameworks to deduce optimal interventions.
8. Examples & Illustrative Cases
To examine active learning across distinct academic domains, consider the following instructional cases illustrating the departure from passive pedagogical approaches:
Case 1: Undergraduate Mechanical Engineering (Statics and Dynamics)
In a traditional statics course, an instructor spends 50 minutes drafting free-body diagrams on a digital whiteboard while 150 students silently transcribe formulas. Under an active learning framework, the instructor introduces a three-minute micro-lecture on torsional stress, presents a photograph of an anomalous structural failure in a suspension bridge, and asks: "Which specific support vector experienced catastrophic failure first, and why?" Students commit individual answers via polling software, engage in a three-minute heated debate with neighboring peers using structural calculation sheets, and subsequently test their assumptions using an interactive physical tension rig placed at their tables. The instructor circulates, directly diagnosing and addressing foundational misconceptions regarding equilibrium equations.
Case 2: Medical School Pathology (Problem-Based Clinical Diagnosis)
In a flipped, problem-based medical curriculum, pre-clinical students do not sit through multi-hour lectures on endocrine disorders. Instead, they access foundational biochemical modules online before arriving at the laboratory. In session, small cohorts receive an unfolding clinical portfolio of a 42-year-old patient exhibiting paradoxical fatigue, tachycardia, and electrolyte disturbances. The students must collaborate to order diagnostic panels within an established budget, interpret raw histological slides, rule out endocrine neoplasms, and defend their therapeutic approach before a clinical faculty facilitator who challenges their biochemical rationale.
Case 3: Secondary Humanities (Socratic Seminar on Constitutional Jurisprudence)
Rather than receiving a chronological presentation on First Amendment legal evolution, students analyze redacted Supreme Court majority and dissenting opinions from landmark cases. Seated in an open circular layout, students lead an evidence-based seminar exploring the boundaries between protected symbolic speech and imminent lawless action. The instructor serves strictly as an archivist and moderator, tracking rhetorical patterns and asking clarifying questions when logical inconsistencies arise, while students cite textual evidence to evaluate their classmates' interpretations.
9. Measurement & Assessment
Assessing the efficacy and implementation fidelity of active learning requires robust observational metrics and validated psychometric tools. Because the pedagogy prioritizes conceptual mastery over rote transcription, measurement occurs on two primary levels: classroom behavioral fidelity and cognitive learning gains.
Observational Protocols: The gold standard for characterizing classroom practices is the Classroom Observation Protocol for Undergraduate STEM (COPUS), developed by Michelle Smith and colleagues. COPUS replaces subjective instructor evaluations with objective, two-minute interval logging of student actions (e.g., listening, discussing in small groups, asking questions, working individually) and instructor actions (e.g., lecturing, guiding small groups, posing questions, passive monitoring). This generates an empirical behavioral footprint showing the exact percentage of instructional time dedicated to active engagement versus passive presentation.
Concept Inventories and Normalized Gain: To determine whether active learning yields genuine cognitive reorganization, researchers utilize standardized, validated instruments such as the Force Concept Inventory (FCI) in physics, the Conceptual Inventory of Natural Selection (CINS) in biology, or the Chemical Concepts Inventory (CCI). Learning gains are typically evaluated using Richard Hake's formula for normalized gain ($g$):
$$\langle g \rangle = \frac{%\text{Posttest} – %\text{Pretest}}{100 – %\text{Pretest}}$$
Hake’s seminal 1998 investigation involving over 6,000 physics students demonstrated that courses employing interactive engagement strategies systematically achieved an average normalized gain roughly double that of traditional lecture courses ($\langle g
angle pprox 0.48 \pm 0.14$ versus $\langle g
angle pprox 0.23 \pm 0.04$).
Formative Assessment Modalities: Within the classroom, active learning utilizes continuous, low-stakes diagnostic tools. These include "One-Minute Papers," where students rapidly summarize the core thesis and articulate their remaining "muddiest point" at the close of an instructional block, as well as two-stage collaborative exams, in which students first complete an assessment individually and immediately retake the identical test in groups of four.
10. Applications & Practical Significance
The practical implications of active learning span far beyond undergraduate STEM lectures, restructuring professional and institutional environments across the modern workforce:
Higher Education Equity and Retention: Active learning serves as an indispensable tool for promoting educational equity. Empirical research confirms that high-attrition gateway courses in STEM disproportionately eliminate historically marginalized, first-generation, and underrepresented minority students when taught via passive lecturing. Active learning closes performance gaps by establishing cooperative communities of practice and providing embedded metacognitive support, ensuring that academic survival depends on intellectual effort rather than privileged prior preparation.
Medical and Clinical Healthcare Training: Modern medical, nursing, and allied health educational standards universally mandate active learning via simulation suites, clinical case scenarios, and standardized patient encounters. The cognitive agility required to diagnose acute pathology cannot be fostered by passive observation; it demands diagnostic reasoning under realistic constraints, situational communication, and immediate feedback during debriefings.
Corporate Reskilling and Executive Education: Modern organizational development has largely abandoned static slide-deck training in favor of active simulation, design sprints, and agile group problem-solving. In complex corporate landscapes, employees retain operational protocols, ethical compliance standards, and leadership behaviors far more effectively when navigating immersive experiential challenges that require collaborative negotiations and strategic execution.
11. Research & Empirical Evidence
The literature supporting active learning is among the most robust, cross-replicated bodies of evidence in modern educational psychology.
The benchmark empirical baseline remains the massive meta-analysis conducted by Freeman et al. (2014), which synthesized 225 individual studies comparing student performance in undergraduate STEM courses under traditional lecturing versus active learning. The findings revealed that:
- Average examination scores improved by 6% (an effect size of 0.47 standard deviations) under active learning conditions.
- Students in traditional lecture environments were 1.5 times more likely to fail (withdrawal or grade below C-) compared to counterparts in active-learning environments.
- The performance improvements remained consistent across STEM disciplines, class sizes (from small seminars to halls exceeding 300 students), and course levels.
A crucial cognitive paradox within active learning research was documented by Louis Deslauriers and colleagues in a landmark 2019 study published in PNAS. The researchers randomly assigned physics students to either a traditional lecture delivered by a highly rated, charismatic instructor or an active-learning session covering the exact same subject matter. Crucially, the researchers measured both students' subjective perceptions of learning and their actual, objective conceptual mastery.
The results exposed an inverse correlation: students in the active learning cohort scored significantly higher on objective tests of mastery, yet subjectively reported that they felt they had learned *less* than students who sat through the fluent passive lecture. Deslauriers demonstrated that the cognitive effort required by active learning is frequently misinterpreted by novices as an indicator of poor learning, whereas the cognitive ease of listening to a charismatic lecturer creates an unearned "illusion of learning." This foundational study illuminated why student resistance frequently emerges despite significant objective gains.
12. Cultural & Cross-Cultural Considerations
The global adoption of active learning demands careful consideration of cultural norms, authority constructs, and educational expectations. Pedagogies formulated within Western, individualist frameworks—which routinely reward immediate verbalization, spontaneous debate, and direct questioning of instructors—frequently encounter cultural friction when implemented in alternative contexts.
In educational ecosystems influenced by traditional Confucian values, such as parts of East Asia, the classroom is traditionally organized around hierarchical respect for academic authority. In this context, speaking out without direct solicitation, publicly debating a peer, or questioning an instructor's premise can be perceived as disruptive, culturally inappropriate, or a threat to face (mianzi). Western observers have frequently characterized these students as "passive learners," misinterpreting respectful, reflective listening as cognitive disengagement—a misunderstanding known in the literature as the "Paradox of the Asian Learner."
Cross-cultural research reveals that when active learning frameworks are adapted to harmonize with local cultural values—for instance, by utilizing anonymous digital polling, structured small-group consultations prior to public reporting, or framing questions around collective analysis rather than individual competition—students achieve identical conceptual mastery gains. Thus, successful active learning requires culturally responsive adaptation of instructional formats while preserving high cognitive engagement.
13. Criticisms, Debates & Limitations
Despite substantial evidence favoring active learning, the paradigm has faced rigorous critique, structural debates, and practical challenges.
The "Minimally Guided Instruction" Critique: The most significant theoretical challenge was posed by cognitive educational psychologists Paul Kirschner, John Sweller, and Richard Clark in their seminal 2006 paper, "Why Minimal Guidance During Instruction Does Not Work." The authors asserted that many popular active learning formats—specifically unguided discovery learning, unstructured inquiry, and radical problem-based methods—conflict with known human cognitive architecture. They argued that requiring novice learners to solve complex problems without direct, explicit instruction overburdens their limited working memory, leading to persistent misconceptions, frustration, and lower long-term retention compared to fully guided direct instruction.
Advocates of active learning counter that contemporary active learning is fundamentally *not* minimally guided; rather, high-functioning active learning environments integrate dense scaffolding, iterative mini-lectures, and targeted formative guidance. However, this debate underlines a valid boundary condition: novice learners require significantly more direct modeling, worked examples, and explicit instruction before they can benefit from open-ended, complex collaborative activities.
Student Resistance and Negative Course Evaluations: Because active learning demands substantial mental effort and dispels the comfortable illusion of understanding fostered by passive listening, students frequently push back. Instructors transitioning from passive to active modalities regularly report lower Student Evaluations of Teaching (SETs), driven by student frustration over the perceived reduction in direct, structured instruction. In academic tenure structures where early-career faculty are evaluated heavily on student satisfaction metrics, this dynamic creates a powerful disincentive against adopting evidence-based active pedagogies.
Curricular Coverage and Structural Demands: A persistent pragmatic objection is the challenge of curricular coverage. Because active problem-solving, structured debates, and peer instruction require substantial class time, instructors often struggle to cover the broad encyclopedic content mandated by departmental syllabi or external certification bodies. This challenge necessitates transitioning from an encyclopedic model toward a paradigm focused on fundamental concepts and independent content acquisition, a shift that can meet institutional and administrative resistance.
14. Related Terms & Distinctions
To avoid conceptual ambiguity, active learning must be distinguished from several related educational constructs:
- Passive Learning: The antithesis of active learning. Denotes instructional modalities (such as unpunctuated lectures or unreflective textbook reading) where the student receives pre-digested information without an immediate requirement to synthesize, apply, or challenge the content.
- Experiential Learning: A broader pedagogical framework formulated by David Kolb, centering on learning through concrete experience, reflective observation, abstract conceptualization, and active experimentation. While all experiential learning is inherently active, active learning does not necessarily require field-based, real-world experience; it operates effectively through abstract conceptual problem-solving within a standard classroom.
- Inquiry-Based Learning: A specialized subset of active learning where the learning trajectory is driven by open questions, problems, or scenarios rather than established facts. Inquiry-based learning emphasizes scientific investigation and hypothesis generation, whereas active learning also encompasses structured drills, deliberate retrieval practice, and analytical peer reviews.
- Cooperative Learning: An instructional format involving small groups working toward a shared academic objective under structured positive interdependence. Cooperative learning serves as an interactive mechanism within active learning, though active learning also includes isolated individual cognitive activities, such as writing single-student reflection prompts or completing individual concept checks.
- Direct Instruction: An explicit, teacher-directed instructional strategy emphasizing clear modeling, broken-down steps, guided practice, and systematic checks for understanding. While historically positioned in opposition to open-ended discovery, optimal active learning often embeds brief bursts of direct instruction to prepare novices for complex interactive exercises.
15. Summary & Key Takeaways
Active learning represents an empirically verified shift in instructional design, replacing passive content reception with dynamic cognitive synthesis. Its primary principles can be summarized through the following points:
- Core Definition: Active learning is any pedagogical strategy that requires students to engage directly in higher-order thinking (analyzing, evaluating, synthesizing) while critically monitoring their learning process.
- Cognitive Mechanism: It aligns with human cognitive architecture by mitigating working memory overload, prompting generative processing, and revealing hidden misconceptions through immediate formative feedback.
- Empirical Grounding: A landmark meta-analysis across STEM disciplines demonstrates that active learning decreases failure rates by 55% and significantly boosts exam performance, establishing it as an instructional standard for modern education.
- The Fluency Paradox: Students often equate the demanding cognitive effort of active learning with poor mastery, despite outperforming peers who listen to fluent passive lectures, underscoring the vital need for instructors to explain the purpose of active strategies transparently.
- Instructional Nuance: Active learning is not unguided discovery. Novices require explicit instructional scaffolding, structured frameworks (like POGIL or Peer Instruction), and focused formative guidance to avoid cognitive overload and maximize conceptual gains.
Ultimately, active learning bridges the divide between educational theory and real-world application. By dismantling passive classroom environments and requiring learners to construct, challenge, and articulate their understanding, active learning builds resilient cognitive schemas, sharpens critical thinking skills, and prepares individuals to navigate increasingly complex modern landscapes.
References
- Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom (ASHE-ERIC Higher Education Report No. 1). The George Washington University, School of Education and Human Development. https://eric.ed.gov/?id=ED336049
- Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243. https://doi.org/10.1080/00461520.2014.965823
- Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., & Kestin, G. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences, 116(39), 19251–19257. https://doi.org/10.1073/pnas.1821936116
- Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
- Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1