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- Dozent/in: Frank Laarmann
- Dozent/in: Katja Zeume
In diesem Kurs lernen Teilnehmer die wesentlichen Merkmale und Dienste von Datenbanksystemen. Nach dem erfolgreichen Abschluss kennen sie die Vorgehensweise und Methoden, um Realweltausschnitte zu modellieren und in gut strukturierte Datenbankschemata zu überführen. Teilnehmer sind in der Lage, Informationssysteme unter Einsatz von Datenbankprogrammierschnittstellen und der Datenbanksprache SQL zu entwickeln. |
- Dozent/in: Julia Drögehoff
- Dozent/in: Frank Laarmann
- Dozent/in: Katja Zeume
Offener Kurs für alle Studierenden und Dozenten im Master Informatik
- Dozent/in: Laura Anderle
- Dozent/in: Wolfram Conen
- Dozent/in: Andreas Cramer
- Dozent/in: Ulrike Griefahn
- Dozent/in: Marcel Luis
- Dozent/in: Detlef Mansel
- Dozent/in: Hartmut Surmann
- Dozent/in: Anika Urban
- Dozent/in: Tobias Urban
- Dozent/in: Katja Zeume
- Dozent/in: Frank Laarmann
- Dozent/in: Katja Zeume
Welcome!
Welcome to the NoSQL database research module. This special research module is designed for exploring Students’ motivational patterns and how they’re engaging with learn NoSQL databases through a problem-based learning (PBL) framework.
What is PBL?
Problem-based learning (PBL) encourages students to improve their problem-solving, critical thinking, creativity, real-world learning, communication, teamwork, and self-evaluation skills. In PBL, real-world problems are used to motivate students and improve their critical thinking skills. Meanwhile, the current module questions and forum discussion sections will analyze the impact of PBL on students’ critical thinking.
The aim is to identify what motivates learners for studying NoSQL, how real-world scenarios influence understanding, and what teaching strategies are most effective when working with tools such as:
· MongoDB - document databases
· Redis - key-value stores
· Neo4j - graph databases
Module Purpose & Focus
This module is not about teaching NoSQL — it’s about understanding the ways students learn NoSQL databases, and what kind of challenges they are facing through the study period. Thus, module carefully designed surveys, practical challenges, and reflection, we aim to explore key research questions:
- What motivates students to learn NoSQL systems?
- How can real-world problem scenarios enhance NoSQL learning?
- Which teaching strategies improve student engagement and understanding of MongoDB, Redis, and Neo4j?
- How does the learning curve compare between relational and NoSQL systems?
Weekly Activities:
Each week focuses on a different NoSQL system and real-life problem:
In each section of the Week Module, you will find simple questions regarding the learning of NoSQL. Please go through each section week by week and answer the questions.
- Week 1 – Motivation & Introduction
- Week 2 – MongoDB & Problem Scenario 1
- Week 3 – Redis & Problem Scenario 2
- Week 5 – Neo4j & Problem Scenario 3
- Final Week – Integration & Reflection
Each topic includes interactive tasks, surveys, and group reflections — providing valuable insights for both your learning and our research.
Please begin by:
· Introducing yourself in the forum.
· Complete the Learning Motivation Survey.
· Explore the weekly PBL questionnaire activities.
Kindly read each week's feedback and forum sections, and feel free to answer the questions.
· The feedback module is anonymous.
· Forum questions are all for discussion.
We’re excited to have you participate in this research-based module and discover together what motivates learners like you to engage with the future of data.
Let the journey begin!
- Dozent/in: Rusudani Zazadze
- Dozent/in: Katja Zeume
- Dozent/in: Frank Laarmann
- Dozent/in: Katja Zeume