CSIS Training

This course provides detailed data population instructions for the record types required for the CALPADS Fall 1 submission. A demonstration of online maintenance is used to
explain key field specifications, code sets, conditional validations, troubleshooting methodology and the obtaining of SSIDs (Statewide Student Identifiers). This training is a summary of the data population for records required Fall 1 record types and should be used to map CALPADS fields to Local SIS. Singularly focused Self-Paced training for each relevant record type is available in Bridge: Student Enrollment (SENR), Student Information (SINF), Student Program (SPRG) and Student English Language Acquisition (SELA), Student with Disabilities (SWD). LEAs are encouraged to attend the Fall 1 Data Population Batch File version of this training if they are attending as a yearly review, however, may attend both.

This two-hour webinar provides timely updates and relevant information for the CALPADS Fall 1 and Fall 2 data submissions.

Counties in the Northern & Central regions: Alameda, Alpine, Amador, Butte, Calaveras, Colusa, Contra Costa, Del Norte, El Dorado, Fresno, Glenn, Humboldt, Kern, Kings, Lake, Lassen, Madera, Mariposa, Marin, Mendocino, Merced, Modoc, Mono, Monterey, Napa, Nevada, Placer, Plumas, Sacramento, San Benito, San Francisco, San Joaquin, San Luis Obispo, San Mateo, Santa Clara, Santa Cruz, Shasta, Sierra, Siskiyou, Solano, Sonoma, Stanislaus, Sutter, Tehama, Trinity, Tulare, Tuolumne, Yolo, Yuba.

This two-hour webinar provides timely updates and relevant information for the CALPADS Fall 1 and Fall 2 data submissions.

Counties in the Southern B Region: Imperial, Inyo, Orange, San Bernardino, San Diego.

This two-hour webinar provides timely updates and relevant information for the CALPADS Fall 1 and Fall 2 data submissions.

Counties in the Southern A region: Los Angeles, Riverside, Santa Barbara, Ventura.

This course provides details on changes related to Fall 1 Reporting and Certification. Designed for experienced staff who would like a refresher. This is a fast-paced course summarizing the annual Fall 1 requirements focused on changes.

This is course provides detailed guidance for the annual Fall 1 data collection process and serves as a primary Fall 1 training tool for new LEAs needing instruction. Through demonstration, course also covers functionality, certification errors, reports review and how to use the CALPADS documentation for troubleshooting, error resolution and data mapping needing instruction.

This course provides details on changes related to Fall 1 Reporting and Certification. Designed for experienced staff who would like a refresher. This is a fast-paced course summarizing the annual Fall 1 requirements focused on changes.

This course provides detailed data population instructions for the record types required for the CALPADS Fall 1 submission. This session specifically provides a demonstration of the batch file submission process to explain the submission sequence, record relationships, troubleshooting methodology and the obtaining of SSIDs (Statewide Student Identifiers). This training is a summary of the submission process for all required Fall 1 batch files. Singularly focused Self-Paced training for each relevant record type is available in Bridge: Student Enrollment (SENR), Student Information (SINF), Student Program (SPRG) and Student English Language Acquisition (SELA). This training serves a good yearly refresher. New LEAs are encouraged to attend the Fall 1 Data Population - Online Maintenance version of this training as well.

This is course provides detailed guidance for the annual Fall 1 data collection process and serves as a primary Fall 1 training tool for new LEAs needing instruction. Through demonstration, course also covers functionality, certification errors, reports review and how to use the CALPADS documentation for troubleshooting, error resolution and data mapping needing instruction.

This course provides an overview of the anomaly process and detailed instruction for reviewing and resolving anomalies.