id,title,description,date_created,date_modified,date_published,original_publication_date,publication_doi,provider,is_published,reviews_state,version,is_latest_version,preprint_doi,license,tags_list,tags_data,contributors_list,contributors_data,first_author,subjects_list,subjects_data,download_url,has_coi,conflict_of_interest_statement,has_data_links,has_prereg_links,prereg_links,prereg_link_info,last_updated
63rek_v1,Time Perception in Virtual Reality: Effects of Emotional Valence and Stress Level,"Background & Objective: Emotional states and stress distort time perception, yet findings are inconsistent, particularly in immersive media. Integrating the Attentional Gate Model (AGM) and Internal Clock Model (ICM), we examined how emotional valence and stress alter perceived duration in Virtual Reality (VR). This study assesses the effects of valence (calming, neutral, stressful) and stress (low/high) on prospective time estimation, mood, and arousal.
Methods: Fifty-four adults (18–39 yr) explored three custom VR environments: (1) a tranquil Japanese garden, (2) an affectively neutral room, and (3) a threatening underground sewer. Active navigation promoted presence; a distraction task separated conditions. Valence and arousal were assessed with the Visual Analog Mood Scales, stress with the Perceived Stress Scale-10 (PSS-10), and perceived duration with a verbal estimation task. Mixed-model ANOVAs evaluated main and interaction effects.
Results: Valence reliably shaped perceived duration: calming VR led to overestimation, stressful VR to underestimation, and neutral VR to intermediate timing. Baseline stress level, as measured by PSS-10, neither altered timing nor interacted with valence. Nevertheless, the VR environments affected VAMS’ mood metrics: calming environments elevated mood and reduced perceived stress, whereas stressful environments lowered mood and heightened stress.
Conclusions: Findings support the AGM—attentionally demanding negative environments shorten perceived time—and the ICM—valence-linked arousal speeds or slows the pacemaker. Contrary to classical predictions, in VR, baseline stress did not distort duration, suggesting valence-driven attentional allocation outweighs pre-exposure stress levels. VR offers a controllable platform for dissecting time-perception mechanisms and advancing interventions that target emotion-related temporal distortions.",2025-05-11T23:02:04.032818,2025-05-11T23:18:04.814530,2025-05-11T23:07:41.005011,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/63rek_v1,CC-By Attribution 4.0 International,Attentional Gate Model; Internal Clock Model; attention; emotion; perception; time perception; virtual reality,"[""Attentional Gate Model"", ""Internal Clock Model"", ""attention"", ""emotion"", ""perception"", ""time perception"", ""virtual reality""]",Kyriaki Syrigou; Marina Stoforou; Panagiotis Kourtesis,"[{""id"": ""8cv5u"", ""name"": ""Kyriaki Syrigou"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""cghpb"", ""name"": ""Marina Stoforou"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""jpw59"", ""name"": ""Panagiotis Kourtesis"", ""index"": 2, ""orcid"": ""0000-0002-2914-1064"", ""bibliographic"": true}]",Kyriaki Syrigou,Engineering Psychology; Neuroscience; Social and Behavioral Sciences; Cognitive Neuroscience; Cognitive Psychology,"[{""id"": ""5b4e7424c6983001430b6c1a"", ""text"": ""Engineering Psychology""}, {""id"": ""5b4e7425c6983001430b6c1b"", ""text"": ""Neuroscience""}, {""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7425c6983001430b6c23"", ""text"": ""Cognitive Neuroscience""}, {""id"": ""5b4e7427c6983001430b6c8c"", ""text"": ""Cognitive Psychology""}]",https://osf.io/download/68212c789d0b8f62f0eadf5e,0,,,,null,,2025-05-12T00:11:29.213963
63pbj_v1,Neurocognitive Seam Interfaces Linking Social Roles and Autonomous Sub-Personality Modules within the RAMSD Framework,"**Objective:** This paper introduces and extends the concept of seam interfaces—neurocognitive transition zones mediating the dynamic interaction between externally imposed social roles and internally activated sub-personality modules—within the framework of the Role-Autonomy Model of Sub-Personality Dynamics (RAMSD).

**Theoretical Approach:** Seam interfaces are conceptualized as adaptive hubs of inter-network connectivity, primarily involving the Default Mode Network (DMN), Salience Network (SN), and Executive Control Network (ECN), which orchestrate the switching, integration, and conflict resolution mechanisms between autobiographical identity and contextually cued behavior. This framework integrates contemporary neuroscience of selfhood, embodied cognition, affective regulation, and clinical observations in trauma, dissociation, and role rigidity.

**Propositions:** Dysfunctional seam activity gives rise to measurable disturbances in cognitive-affective integration, manifesting as role dissociation (disconnection between action and self), sub-personality stagnation (inflexibility despite context), and neuro-emotional block (affective shutdown or dissonance). These syndromes are behaviorally and neurologically tractable.

**Implications:** The model informs the design of experimental protocols (e.g., ERP-based role-switching tasks), development of psychometric instruments, agent-based simulations of identity adaptation, and novel therapeutic interventions targeting inter-network coherence and role fluidity through neurofeedback, cognitive reframing, and embodied integration techniques.

*Note: This theoretical model is presented for exploratory and conceptual purposes. It does not constitute a clinical diagnostic tool or therapeutic protocol and is not intended to replace any established mental health frameworks (e.g., DSM-5 or ICD-11). All proposed clinical illustrations and hypotheses remain subject to empirical testing.*",2025-05-11T22:12:30.130730,2025-05-11T22:22:01.066712,2025-05-11T22:21:42.167485,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/63pbj_v1,CC-By Attribution 4.0 International,DMN; RAMSD; identity switching; neurocognitive integration; role dissociation; role theory; sub-personality,"[""DMN"", ""RAMSD"", ""identity switching"", ""neurocognitive integration"", ""role dissociation"", ""role theory"", ""sub-personality""]",Stanislav Pererodin,"[{""id"": ""2kt3y"", ""name"": ""Stanislav Pererodin"", ""index"": 0, ""orcid"": ""0009-0005-7076-8423"", ""bibliographic"": true}]",Stanislav Pererodin,Psychiatry; Neuroscience; Social and Behavioral Sciences; Clinical Psychology; Cognitive Neuroscience; Social and Personality Psychology; Systems Neuroscience; Clinical Neuroscience; Cognitive Psychology,"[{""id"": ""5b4e7424c6983001430b6c18"", ""text"": ""Psychiatry""}, {""id"": ""5b4e7425c6983001430b6c1b"", ""text"": ""Neuroscience""}, {""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7425c6983001430b6c1f"", ""text"": ""Clinical Psychology""}, {""id"": ""5b4e7425c6983001430b6c23"", ""text"": ""Cognitive Neuroscience""}, {""id"": ""5b4e7425c6983001430b6c34"", ""text"": ""Social and Personality Psychology""}, {""id"": ""5b4e7426c6983001430b6c64"", ""text"": ""Systems Neuroscience""}, {""id"": ""5b4e7426c6983001430b6c68"", ""text"": ""Clinical Neuroscience""}, {""id"": ""5b4e7427c6983001430b6c8c"", ""text"": ""Cognitive Psychology""}]",https://osf.io/download/682120e4bb831a77bace9e07,0,,not_applicable,available,"[""https://doi.org/10.17605/OSF.IO/QN2SA""]",prereg_designs,2025-05-12T00:11:29.218844
3xye5_v2,The Memory Paradox:  Why Our Brains Need Knowledge in an Age of AI,"This chapter offers the first neuroscience-based theory linking the reversal of the Flynn Effect—documented declines in IQ scores across high-income countries since the 1970s—to the growing prevalence of cognitive offloading and pedagogical trends that minimize direct knowledge acquisition. Drawing on cognitive neuroscience, learning theory, and memory systems research, we argue that widespread underuse of the brain’s declarative and procedural systems has weakened internal representations—schemata—that are essential for reasoning, intuition, and expertise.

We examine how shifts toward digital dependency and constructivist educational models have reduced opportunities for repeated retrieval, proceduralization, and the formation of robust engrams and neural manifolds. These trends disrupt the consolidation and automatization of biologically secondary knowledge, impairing schema-driven prediction, error correction, and transfer. We propose that the weakening of these memory systems—long before neurodegeneration sets in—may explain recent cognitive declines more plausibly than purely environmental or genetic accounts.

The chapter closes by outlining implications for cognitive theory, educational practice, and AI-era learning environments. Rather than viewing memory as outdated in a world of instant information access, we argue that internal knowledge remains foundational for deep learning and that cognitive augmentation requires—not replaces—biological memory.",2025-05-11T22:11:07.756628,2025-05-11T22:14:41.545934,2025-05-11T22:14:31.804094,,,psyarxiv,1,pending,2,1,https://doi.org/10.31234/osf.io/3xye5_v2,CC-By Attribution 4.0 International,Cognitive offloading; Engram; Flynn Effect; Intelligence decline; Memory; Schema formation; artificial intelligence; genAI; neuroscience of education,"[""Cognitive offloading"", ""Engram"", ""Flynn Effect"", ""Intelligence decline"", ""Memory"", ""Schema formation"", ""artificial intelligence"", ""genAI"", ""neuroscience of education""]",Barbara  Oakley; Michael Johnston; Kenzen Chen; Eulho Jung; Terrence J. Sejnowski,"[{""id"": ""8tv73"", ""name"": ""Barbara  Oakley"", ""index"": 0, ""orcid"": ""0000-0003-2706-0751"", ""bibliographic"": true}, {""id"": ""dfp67"", ""name"": ""Michael Johnston"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""n7gtr"", ""name"": ""Kenzen Chen"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""qupkh"", ""name"": ""Eulho Jung"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}, {""id"": ""deyh8"", ""name"": ""Terrence J. Sejnowski"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}]",Barbara  Oakley,Meta-science; Engineering Psychology; Neuroscience; Social and Behavioral Sciences; Cognitive Neuroscience; Developmental Psychology; Theory and Philosophy of Science; Other Neuroscience and Neurobiology; Systems Neuroscience; Educational Psychology; Cognitive Psychology; Cultural Psychology,"[{""id"": ""5b4e7424c6983001430b6c19"", ""text"": ""Meta-science""}, {""id"": ""5b4e7424c6983001430b6c1a"", ""text"": ""Engineering Psychology""}, {""id"": ""5b4e7425c6983001430b6c1b"", ""text"": ""Neuroscience""}, {""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7425c6983001430b6c23"", ""text"": ""Cognitive Neuroscience""}, {""id"": ""5b4e7425c6983001430b6c2d"", ""text"": ""Developmental Psychology""}, {""id"": ""5b4e7426c6983001430b6c39"", ""text"": ""Theory and Philosophy of Science""}, {""id"": ""5b4e7426c6983001430b6c40"", ""text"": ""Other Neuroscience and Neurobiology""}, {""id"": ""5b4e7426c6983001430b6c64"", ""text"": ""Systems Neuroscience""}, {""id"": ""5b4e7427c6983001430b6c8b"", ""text"": ""Educational Psychology""}, {""id"": ""5b4e7427c6983001430b6c8c"", ""text"": ""Cognitive Psychology""}, {""id"": ""5b4e7428c6983001430b6cae"", ""text"": ""Cultural Psychology""}]",https://osf.io/download/682121349a6cd9201bc4c096,0,,not_applicable,not_applicable,[],,2025-05-12T00:11:29.214907
nwbdy_v1,Cognitive Defragmentation Theory: A New Framework for Memory and Brain Reorganization,"Cognitive Defragmentation Theory or CDT, proposes that the brain does not permanently discard information through synaptic pruning, but rather reorganizes and reprioritizes cognitive material across time. Inspired by personal observation, educational practice, and emerging neuroscience, CDT reframes forgetfulness, regression, and trauma responses as products of system overload and inaccessibility, not deletion. The theory introduces the concept of both micro (daily) and macro (developmental) defragmentation cycles, offering a model for how the brain shuffles memory and behavioral data for functional adaptation. Supported by recent neuroscience studies on memory retrieval via engram cells, CDT presents a new direction for interpreting neurodivergence, trauma recovery, and learning breakdowns and calls for a broader reevaluation of synaptic pruning as the dominant metaphor for cognitive development.",2025-05-11T21:17:37.065074,2025-05-11T21:29:01.577689,2025-05-11T21:28:44.530810,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/nwbdy_v1,CC-By Attribution 4.0 International,Behavioral Psychology; Brain Reorganization; Cognitive Defragmentation; Cognitive Psychology; Developmental Psychology; Education; Engram Cells; Executive Functioni; Learning; Memory; Memory Retrieval; Neurodivergence; Neuroplasticity; Synaptic Pruning; Trauma,"[""Behavioral Psychology"", ""Brain Reorganization"", ""Cognitive Defragmentation"", ""Cognitive Psychology"", ""Developmental Psychology"", ""Education"", ""Engram Cells"", ""Executive Functioni"", ""Learning"", ""Memory"", ""Memory Retrieval"", ""Neurodivergence"", ""Neuroplasticity"", ""Synaptic Pruning"", ""Trauma""]",Andrew Tilton,"[{""id"": ""7puhg"", ""name"": ""Andrew Tilton"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}]",Andrew Tilton,Neuroscience; Social and Behavioral Sciences; Cognitive Neuroscience; Behavioral Neuroscience; Educational Psychology; Cognitive Psychology,"[{""id"": ""5b4e7425c6983001430b6c1b"", ""text"": ""Neuroscience""}, {""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7425c6983001430b6c23"", ""text"": ""Cognitive Neuroscience""}, {""id"": ""5b4e7427c6983001430b6c77"", ""text"": ""Behavioral Neuroscience""}, {""id"": ""5b4e7427c6983001430b6c8b"", ""text"": ""Educational Psychology""}, {""id"": ""5b4e7427c6983001430b6c8c"", ""text"": ""Cognitive Psychology""}]",https://osf.io/download/6821143e2210c06912ce9f03,0,,not_applicable,not_applicable,[],,2025-05-12T00:11:29.217100
7pczt_v4,Repulsive and attractive serial dependence: Balancing sensitivity and stability in visual perception,"The human visual system recruits adaptation mechanisms that enhance perceptual sensitivity over time. However, such mechanisms can also introduce substantial perceptual biases, disrupting stable perceptual experiences. Research on serial dependence has suggested that the visual system promotes stability by mechanisms that integrate new sensory inputs with inputs obtained in the recent past. Yet, it remains unclear when and how such mechanisms operate. The present study tested the hypothesis that adaptation produces a repulsive bias during earlier processing, which is later mitigated by post-perceptual decision processes at the time of report. In two orientation perception tasks, observers used a mouse to reproduce the orientation of a briefly presented target. We recorded the mouse trajectory to track the temporal dynamics of their reproduction responses. We found that the mouse reports began more slowly when the current stimulus was similar to the prior stimulus. In the mouse-tracking data, the initial phase of the response exhibited a strong repulsive bias away from the prior stimulus, but this bias diminished significantly as the response unfolded, ending with either weaker repulsion or small attraction depending on task contexts. These findings provide strong evidence that prior stimuli induce an early repulsive bias, which is then mitigated through post-perceptual decision processes during the response. This suggests that the visual system balances the competing demands of sensitivity and stability by reducing early repulsive biases through higher-order decision mechanisms, optimizing behavior in a given task context.",2025-05-11T20:20:29.596610,2025-05-11T20:21:00.818542,2025-05-11T20:20:43.573304,,,psyarxiv,1,pending,4,1,https://doi.org/10.31234/osf.io/7pczt_v4,CC0 1.0 Universal,,[],Kuo-Wei Chen; Gi-Yeul Bae,"[{""id"": ""4qvmf"", ""name"": ""Kuo-Wei Chen"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""py9s3"", ""name"": ""Gi-Yeul Bae"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}]",Kuo-Wei Chen,Social and Behavioral Sciences; Perception; Cognitive Psychology; Memory; Vision,"[{""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7427c6983001430b6c71"", ""text"": ""Perception""}, {""id"": ""5b4e7427c6983001430b6c8c"", ""text"": ""Cognitive Psychology""}, {""id"": ""5b4e7427c6983001430b6ca5"", ""text"": ""Memory""}, {""id"": ""5b4e7428c6983001430b6cc0"", ""text"": ""Vision""}]",https://osf.io/download/682106969546cff1fb9c41da,0,,no,no,[],,2025-05-12T00:11:29.215747
7pczt_v3,Repulsive and attractive serial dependence: Balancing sensitivity and stability in visual perception,"The human visual system recruits adaptation mechanisms that enhance perceptual sensitivity over time. However, such mechanisms can also introduce substantial perceptual biases, disrupting stable perceptual experiences. Research on serial dependence has suggested that the visual system promotes stability by mechanisms that integrate new sensory inputs with inputs obtained in the recent past. Yet, it remains unclear when and how such mechanisms operate. The present study tested the hypothesis that adaptation produces a repulsive bias during earlier processing, which is later mitigated by post-perceptual decision processes at the time of report. In two orientation perception tasks, observers used a mouse to reproduce the orientation of a briefly presented target. We recorded the mouse trajectory to track the temporal dynamics of their reproduction responses. We found that the mouse reports began more slowly when the current stimulus was similar to the prior stimulus. In the mouse-tracking data, the initial phase of the response exhibited a strong repulsive bias away from the prior stimulus, but this bias diminished significantly as the response unfolded, ending with either weaker repulsion or small attraction depending on task contexts. These findings provide strong evidence that prior stimuli induce an early repulsive bias, which is then mitigated through post-perceptual decision processes during the response. This suggests that the visual system balances the competing demands of sensitivity and stability by reducing early repulsive biases through higher-order decision mechanisms, optimizing behavior in a given task context.",2025-05-11T20:17:44.072630,2025-05-11T20:19:41.093359,2025-05-11T20:19:13.444265,,,psyarxiv,1,pending,3,0,https://doi.org/10.31234/osf.io/7pczt_v3,CC0 1.0 Universal,,[],Kuo-Wei Chen; Gi-Yeul Bae,"[{""id"": ""4qvmf"", ""name"": ""Kuo-Wei Chen"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""py9s3"", ""name"": ""Gi-Yeul Bae"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}]",Kuo-Wei Chen,Social and Behavioral Sciences; Perception; Cognitive Psychology; Memory; Vision,"[{""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7427c6983001430b6c71"", ""text"": ""Perception""}, {""id"": ""5b4e7427c6983001430b6c8c"", ""text"": ""Cognitive Psychology""}, {""id"": ""5b4e7427c6983001430b6ca5"", ""text"": ""Memory""}, {""id"": ""5b4e7428c6983001430b6cc0"", ""text"": ""Vision""}]",https://osf.io/download/682105f6688c64acba9c432e,0,,no,no,[],,2025-05-12T00:11:29.215581
yxjs8_v1,Rounding and the third formant:  An assumption revisited with deep neural networks,"A student of the phonetic sciences who consults a relevant coursebook will find there the claim that F3 is related to the degree of lip rounding. However, the exact relationship between the two is variable and inconsistent. Here, we present results of an exploratory computational-acoustic model where changes to F3 are interpreted in relationship to changes to vocal tract area transfer function of a large sample (N = 10,000) of systematically varied tube model sequences. The results show a consistent pattern: constriction at the front of the vocal tract, followed by an open area and a secondary constriction, systematically shapes F3. This pattern aligns with acoustic signatures of both rounding and rhoticity, without presupposing phonological categories. These results offer a principled acoustic account of why the traditional link between rounding and lowered F3 varies in natural speech. Future work will explore whether certain vocal tract regions are more acoustically “sensitive” than others.",2025-05-11T18:43:18.015869,2025-05-11T18:46:01.983672,2025-05-11T18:45:50.418986,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/yxjs8_v1,CC-By Attribution 4.0 International,deep learning; neural networks; phonetics; speech acoustics; speech production,"[""deep learning"", ""neural networks"", ""phonetics"", ""speech acoustics"", ""speech production""]",Runhui Song; Johan Sjons; Axel G. Ekström,"[{""id"": ""vpqey"", ""name"": ""Runhui Song"", ""index"": 0, ""orcid"": null, ""bibliographic"": true}, {""id"": ""ghqtx"", ""name"": ""Johan Sjons"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""qhckf"", ""name"": ""Axel G. Ekstr\u00f6m"", ""index"": 2, ""orcid"": ""0000-0002-6739-0838"", ""bibliographic"": true}]",Runhui Song,Engineering Psychology,"[{""id"": ""5b4e7424c6983001430b6c1a"", ""text"": ""Engineering Psychology""}]",https://osf.io/download/6820efccd990792b8feae069,0,,not_applicable,not_applicable,[],,2025-05-12T00:11:29.216277
zj68u_v1,Bridging the gap: predicting the critical window at intake in contingency management,"Contingency management (CM) is a psychosocial treatment used to improve a number of socially significant behaviors. Its efficacy has been demonstrated many times over in a variety of treatment contexts, and efforts to demonstrate its effectiveness are underway at the state level. Development of useful predictive modeling has lagged far behind other technological advancements in methodology for improving treatment outcomes. Based on these other technological advancements it is well known that modifying treatment parameters (e.g., incentive magnitude) can result in better treatment outcomes, yet, to my knowledge, no studies have relied on predictive models to provide additional supports to those who may not be successful under default treatment parameters.  In the present paper I propose and validate a framework for predicting early success in CM treatment using a large CM dataset consisting of over 800 participants. Within that framework I develop models to predict CM treatment outcomes using only data from intake questionnaires and the prediction of early treatment success. The best performing model for predicting early treatment success achieved a receiver operating characteristic area under the curve (ROC-AUC) score of 0.83. Using that model I predicted continuous abstinence of at least 8 and at least 12, with ROC-AUC scores of 0.81 and 0.77 respectively.",2025-05-11T18:04:19.799399,2025-05-11T18:20:01.744085,2025-05-11T18:19:36.843525,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/zj68u_v1,No license,,[],Jordan D Bailey,"[{""id"": ""25umx"", ""name"": ""Jordan D Bailey"", ""index"": 0, ""orcid"": ""0000-0002-6616-6287"", ""bibliographic"": true}]",Jordan D Bailey,Social and Behavioral Sciences; Clinical Psychology; Substance Abuse and Addiction; Quantitative Methods; Quantitative Psychology,"[{""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7425c6983001430b6c1f"", ""text"": ""Clinical Psychology""}, {""id"": ""5b4e7425c6983001430b6c30"", ""text"": ""Substance Abuse and Addiction""}, {""id"": ""5b4e7426c6983001430b6c41"", ""text"": ""Quantitative Methods""}, {""id"": ""5b4e7428c6983001430b6caf"", ""text"": ""Quantitative Psychology""}]",https://osf.io/download/6820e7b308670a9c3deae0ab,0,,available,not_applicable,[],,2025-05-12T00:11:29.217607
t8uyz_v1,Informational Iagoism: children and data challenges in digital foreign policy spaces,"There is a significant gap in the literature at the intersection of philosophy, foreign interference, and children. Deploying the philosophy of information as a means of understanding digital foreign interference and its impact on children this paper identifies a tactic labelled “Informational Iagoism”. It argues that normative philosophical vulnerabilities resulting from the fourth revolution are exploited as part of a cyclical process that involves ontological, philosophical ethics, and epistemic factors, as a means to co-opt and dismantle democracy and its processes. Observing the data protection issues exacerbating information iagoism, this work advocates that digital civics pedagogy can address these issues through its emphasis on the Philosophy of Information, phronesis, and information literacy.",2025-05-11T18:04:14.978430,2025-05-11T18:10:21.207794,2025-05-11T18:10:10.529460,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/t8uyz_v1,CC-By Attribution 4.0 International,,[],Estelle Clements,"[{""id"": ""hgy73"", ""name"": ""Estelle Clements"", ""index"": 0, ""orcid"": ""0000-0003-4261-584X"", ""bibliographic"": true}]",Estelle Clements,"Social and Behavioral Sciences; Psychology, other; Emotion","[{""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7426c6983001430b6c45"", ""text"": ""Psychology, other""}, {""id"": ""5b4e7426c6983001430b6c58"", ""text"": ""Emotion""}]",https://osf.io/download/6820e6dc5e8b7a3cf8c4c039,0,,not_applicable,not_applicable,[],,2025-05-12T00:11:29.216429
3aygt_v1,Exploring Pre-service Teachers’ Generative AI Readiness and Behavioral Intentions:  A Pilot Study,"In recent years, Generative Artificial Intelligence (GenAI) has emerged rapidly as a field encompassing advanced models and algorithms that can create unique content such as images, text, and audio. This technology holds significant potential across diverse domains; however, it also presents unique challenges, including ethical concerns, inaccuracies in generated content, and increased cognitive and emotional stress for educators who must adapt to fast-evolving technologies. The question of how should ChatGPT and similar Gen AI tools be incorporated into the education and training of teachers is one of the urgent priorities for global research. This study examines Finnish pre-service teachers’ readiness, experiences, and behavioral intentions regarding Gen AI adoption in their learning and teaching practices. Using a mixed-methods approach, we analyzed quantitative survey data alongside qualitative responses, focusing on AI usage patterns, perceived usefulness, and challenges.
Findings indicate a significant gap in Gen AI adoption, with 27% of participants having never used Gen AI tools at the time of survey (April-June, 2024), while the majority engaged sporadically. Despite low perceived accuracy, frequent users continued using Gen AI, suggesting that usability, efficiency, and creative support outweigh accuracy concerns in adoption decisions. Ideation and content creation were the most common Gen AI-supported tasks, whereas self-regulated, personalized learning, and prompt refinement remained underutilized, indicating a lack of awareness or confidence in Gen AI’s broader potential. Challenges primarily related to AI-generated output quality and prompting difficulties, with users preferring to modify AI outputs rather than refine prompts to improve responses. Strategies such as output modification and external verification were employed, though critical evaluation was not always explicitly stated. These findings highlight the need for structured AI literacy training, emphasizing prompt engineering, evaluative judgment, and strategic AI integration in teacher education.
This study underscores the importance of developing Gen AI competencies among pre-service teachers to ensure effective, responsible, and pedagogically meaningful AI adoption. Future research should explore longitudinal AI adoption trends, cross-cultural comparisons, and the impact of AI literacy training on teaching practices.",2025-05-11T17:31:13.465227,2025-05-11T17:44:02.147438,2025-05-11T17:43:32.531985,,,psyarxiv,1,pending,1,1,https://doi.org/10.31234/osf.io/3aygt_v1,CC-By Attribution 4.0 International,gen ai; generative ai; readiness; teacher education; technology adoption,"[""gen ai"", ""generative ai"", ""readiness"", ""teacher education"", ""technology adoption""]",Phuong Bui; Tiina Korhonen; Sini Kontkanen; Sorella Karme; Satu Piispa-Hakala; Marjaana Veermans,"[{""id"": ""uej6s"", ""name"": ""Phuong Bui"", ""index"": 0, ""orcid"": ""0000-0001-9278-0515"", ""bibliographic"": true}, {""id"": ""2meyq"", ""name"": ""Tiina Korhonen"", ""index"": 1, ""orcid"": null, ""bibliographic"": true}, {""id"": ""bvtqx"", ""name"": ""Sini Kontkanen"", ""index"": 2, ""orcid"": null, ""bibliographic"": true}, {""id"": ""26w97"", ""name"": ""Sorella Karme"", ""index"": 3, ""orcid"": null, ""bibliographic"": true}, {""id"": ""q8whs"", ""name"": ""Satu Piispa-Hakala"", ""index"": 4, ""orcid"": null, ""bibliographic"": true}, {""id"": ""gvztx"", ""name"": ""Marjaana Veermans"", ""index"": 5, ""orcid"": null, ""bibliographic"": true}]",Phuong Bui,Social and Behavioral Sciences; Industrial and Organizational Psychology; Social and Personality Psychology; Quantitative Methods; Perception; Educational Psychology; Experimental Design and Sample Surveys,"[{""id"": ""5b4e7425c6983001430b6c1e"", ""text"": ""Social and Behavioral Sciences""}, {""id"": ""5b4e7425c6983001430b6c22"", ""text"": ""Industrial and Organizational Psychology""}, {""id"": ""5b4e7425c6983001430b6c34"", ""text"": ""Social and Personality Psychology""}, {""id"": ""5b4e7426c6983001430b6c41"", ""text"": ""Quantitative Methods""}, {""id"": ""5b4e7427c6983001430b6c71"", ""text"": ""Perception""}, {""id"": ""5b4e7427c6983001430b6c8b"", ""text"": ""Educational Psychology""}, {""id"": ""5b4e7427c6983001430b6ca1"", ""text"": ""Experimental Design and Sample Surveys""}]",https://osf.io/download/6820df2d57a1f80d5eeae128,0,,not_applicable,no,[],,2025-05-12T00:11:29.215356