This work-in-progress paper discusses an issue of how to assess unconscious-deformations. The issue is emerged in Formative e-Assessment (FA) design workshops to ‎approach a phenomenon of parallel low-literacies that face German educators and ‎STEM adult-migrant educatee migrated to Germany for ‎study, work, or asylum purposes. The paper describes three parallel low-literacies: namely ‎algorithms low-literacy, German-language low-literacy, ‎and self-assessment low-literacy.

The paper reports how the workshops are organized to enable building an adult-education society ‎with and for adult-migrants suffered from low-literacies and submerged in a culture of silence.‎ The paper presents an innovative concept of Unconscious-Deformation (UD) assessment. It ‎presents how the concept’s main functionality is designed to enable explorative-questioning driven assessment of ‎unconscious-deformations.

The paper describes the two core components of UD assessment concept; namely, theoretical and operational components. ‎The theoretical-component is grounded on ‎integrating ‎Miller’s pyramid of assessment and Paul ‎Freire’s theoretical-notions “literacy as ‎‎power, culture of silence and critical-consciousness”. Freire’s theoretical-notions are for ‎approaching the adult-educatees' culture of silence as symptom of invisible oppressions that need to be analyzed. The operational-component is designed as easy deployable tool ‎to enable explorative-questioning driven assessment . The tool is to ‎serve online-capturing and visualizing of adult-educatees' explorative questions in a host-guest setting ‎for multi-level cultural-translations. The setting helps FA designers simulate the ‎multi-level cultural-translations between guest-expressions‎ and host-expressions. The host-expressions are expressions of a German educator, whereas guest-expressions are expressions of an adult-migrant educatee.

Moreover, the paper describes how the explorative ‎questions are captured to support researching Multi-Level Cultural-Autoencoder (MLCA) ‎algorithms. The MLCA ‎algorithms ‎are neural-net algorithms suggested to help the FA designers in ‎investigating how an adult-migrant educatee ‎can codify, recodify and decodify his/her unconscious-‎deformations in descriptive and comparative activities for mastering his/her self-assessment. ‎

To test the design of the suggested UD assessment concept, test cases are suggested as next ‎step of this ‎work-in-‎progress paper. Finally, for reflection and feedback exchange with the ICER ‎community we ‎‎summarize the limits of the suggested concept and the future work to improve it. ‎

Keywords: Formative E-Assessment, Unconscious-Deformation, Miller’s Pyramid of Assessment, Autoencoder Algorithms, Literacy as Power, Culture of Silence.