Bretten Wiebe
Learner -
(2)
3
Portals
Categories
UI design

Skills

Content creation 2 Query builder 1 Research 1

Achievements

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Recent projects

MacEwan University - Sherif Elbarrad
MacEwan University - Sherif Elbarrad
Edmonton, Alberta, Canada

Level- UP - MacEwan: Promotional videos and tutorials for Educational tools - 2

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The aim of this project is to create promotional videos and tutorials for a group of web-based educational tools. We need a team of students to capture, edit and create promotional videos and tutorials for those educational tools. The project is composed of three phases. Phase 1: Capture, edit and create promotional videos, in addition to some tutorial videos for the Excel grader application Phase 2: Capture, edit and create promotional videos, in addition to some tutorial videos for the Quiz Builder application Phase 3: Capture, edit and create promotional videos, in addition to some tutorial videos for the Query Checker application We will provide guidance to all students.

Matches 1
Category Media + 4
Closed
MacEwan University: School of Business
MacEwan University: School of Business
Edmonton, Alberta, Canada

Level UP- MacEwan: Data sets creation - Phase 5

We would like students to help us with creating content that is aligned with our vision, mission, and sector. We will ensure the student has a clear understanding of what these elements are for our organization. The project is a project that is developing a web-based application to generate synthetic datasets for students. The application is to create datasets either based on tools actual data provided by the user, or the user can create their own customized data sets. The application creates a unique dataset for each studentinstructor, allows the isntructor to create queries, and then marks the students' submissions. The project is composed of three phases. Phase 1: Creation of synthetic datasets. Phase 2: Develop a customization process for creating the datasets. Phase 3: Developing a dataset test bank. Phase 4: Creating a query builder for the instructor. Phase 5: Develop a process to mark the student's answers to the query. We will provide guidance to all students.

Matches 1
Category Databases + 1
Closed