How to track progress during a multi-month Russian learning plan

The search results did not directly address the how-to for tracking progress during a multi-month Russian learning plan. To provide a precise and useful answer, I will synthesize well-established language learning progress tracking methods and apply them to learning Russian over a long period. Proceeding with a general synthesis now.

References

• Тracking Students’ Learning Progress on Troubleshooting Logical Circuits Using Web Application

• Research on learning progress tracking of multimedia port user based on improved CamShift algorithm

• Visible and infrared images fusion target tracking based on deep learning, progress, and prospects

• Reading Progress Tracking Using Convolutional Neural Networks on High-Noise Eye-Tracking Data

• Progress Tracking and Online Learning Assisted by Social Media Tools: A Case Study of Teaching Architectural Design

• Tracking indoor construction progress by deep-learning-based analysis of site surveillance video

• Using eye tracking to assess learning of a multifunction prosthetic hand: an exploratory study from a rehabilitation perspective

• Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction

• Prospects of implementing xAPI as a solution for progress tracking in a Blended Learning environment

• Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions

• Evaluating the Russian Language Proficiency of Bilingual and Second Language Learners of Russian

• A New Methodology for Teaching the Course “Russian as a Foreign Language” in the Digital Environment: Development, Results and Prospects

• Linguocultural Portrait of a Migrant Student while Acquiring Russian as a Non-Native Language: Regional Aspect

• Rating control in learning to Russian as a foreign language

• Insights from Russian second language readability classification: complexity-dependent training requirements, and feature evaluation of multiple categories

• Estimating abilities with an Elo-informed growth model

• A Russian Continuous Speech Recognition System Based on the DTW Algorithm under Artificial Intelligence

• Models of implementation of the virtual educational environment in the process of teaching

• Innovative technology in Teaching Russian as a Foreign Language: Flipped Learning Approach

• Investigating digital skills among Russian higher education students

• Acquisition of non-contrastive focus in Russian by adult English-dominant bilinguals

• Dynamic brain responses to Russian word acquisition among Chinese adult learners: An event‐related potential study

• Diagnosing Barriers In Foreign Language Acquisition

• Increasing the efficiency of teaching Russian as a foreign language in the context of distance learning

• Expedient Application of The Pedagogical Website of a Teacher of Russian As A Foreign Language in The New Didactics

• Influence of Family Language Policies on Language Proficiency across Generations: A Study of Russian-Speaking Families in Germany