Hasso-Plattner-Institut
  
 

Unsere Vison zum tele-TASK Projekt

Im Zentrum der Forschungsarbeit von Prof. Dr. Christoph Meinel und seinen Team auf dem Gebiet des Knowledge Engineering und der Web-University steht das tele-TASK Projekt (Tele-Teaching Anywhere Solution Kit). Es wurde vor mehr als 15 Jahren gestartet, als wir zu erforschen begannen, wie die Internet und Web-Technologien genutzt werden können, um das Lernen (-> E-Learning) und Lehren (-> Tele-Teaching) zu unterstützen und befördern. Unsere Vision was es, ein mobile System zu entwickeln, mit welchen Vorlesungen und Präsentation sehr leicht vollständig aufgezeichnet und über das Internet übertragen werden können, und dann mit dem so gewonnenen Material einerseits neue Lehr- und Lernkonzepte und andererseits innovative Portal- und Navigationstechniken entwickeln und praktisch ausprobieren zu können.

Demonstration des tele-TASK Systems

Unsere Forschungfragen

Über die Jahre hat sich der im tele-TASK Projekt verfolgte Ansatz als sehr fruchtbar erwiesen. Er hat es uns zum einen ermöglicht, wertvolle praktische Erfahrungen und ein fundiertes Verständnis von den Möglichkeiten und Begrenzungen des Tele-Teaching und E-Learning zu gewinnen, und zum anderen wurden wir immer wieder angeregt, ganz neuen gerade aufkommende Techniken im Bereich des Web3.0 - Semantic, Social, und Service Web - für den Bereich der Web-University zu erschließen und zu evaluieren (Details). 

Einige Links zum tele-TASK Portal

 

Hier sind ein paar interessant Links zum tele-TASK Portal mit seinen inzwischen mehr als 4.000 Vorlesungsaufzeichnungen und 30 Mio. Besuchern:

Kauf, Leasing und Vermietung von tele-TASK

Wenn Sie unser Vorlesungen oder Präsentationen aufzeichnen und über das Internet online oder offline streamen wollen, dann können auch Sie unser tele-TASK Aufnahmesystem nutzen. Wie können es käuflich erwerben, leasen oder mieten ... 

Unser tele-TASK Team

  • Prof. Dr. Christoph Meinel (Leiter)
  • Dipl.-Inf. Matthias Bauer
  • Martin Malchow, M.Sc.
  • Xiaoyin CHE
  • Sheng LUO
  • Dr. Haojin Yang
  • Frank Priester (Technischer Support)
  • Frühere Teammitglieder: Dr. Franka Grünewald, Volker Schillings, Tongbo Chen, Mingchao Ma, Mathias Kutzner, Bert Baumann, Long Wang, Andreas Groß, Maria Siebert, ...

tele-TASK Symposia

Wissenschaftliche Publikationen über tele-TASK

Enhance Embedded System E-learning Experience with Sensors

Martin Malchow, Jan Renz, Matthias Bauer, Christoph Meinel
In The IEEE Global Engineering Education Conference (EDUCON) 2016, 4 2016 IEEE. accepted

Abstract:

Earlier research shows that using an embedded LED system motivates students to learn programming languages in massive open online courses (MOOCs) efficiently. Since this earlier approach was very successful the system should be improved to increase the learning experience for students during programming exercises. The problem of the current system is that only a static image was shown on the LED matrix controlled by students’ array programming over the embedded system. The idea of this paper to change this static behavior into a dynamic display of information on the LED matrix by the use of sensors which are connected with the embedded system. For this approach a light sensor and a temperature sensor are connected to an analog-to-digital converter (ADC) port of the embedded system. These sensors' values can be read by the students to compute the correct output for the LED matrix. The result is captured and sent back to the students for direct feedback. Furthermore, unit tests can be used to automatically evaluate the programming results. The system was evaluated during a MOOC course about web technologies using JavaScript. Evaluation results are taken from the student’s feedback and an evaluation of the students’ code executions on the system. The positive feedback and the evaluation of the students’ executions, which shows a higher amount of code executions compared to standard programming tasks and the fact that students solving these tasks have overall better course results, highlight the advantage of the approach. Due to the evaluation results, this approach should be used in e-learning e.g. MOOCs teaching programming languages to increase the learning experience and motivate students to learn programming.

Keywords:

Teleteaching, Tele-Lecturing, Distance Learning, E-Learning, Virtual Lab

BibTeX file

@inproceedings{Martin2016a,
author = { Martin Malchow, Jan Renz, Matthias Bauer, Christoph Meinel },
title = { Enhance Embedded System E-learning Experience with Sensors },
year = { 2016 },
month = { 4 },
abstract = { Earlier research shows that using an embedded LED system motivates students to learn programming languages in massive open online courses (MOOCs) efficiently. Since this earlier approach was very successful the system should be improved to increase the learning experience for students during programming exercises. The problem of the current system is that only a static image was shown on the LED matrix controlled by students’ array programming over the embedded system. The idea of this paper to change this static behavior into a dynamic display of information on the LED matrix by the use of sensors which are connected with the embedded system. For this approach a light sensor and a temperature sensor are connected to an analog-to-digital converter (ADC) port of the embedded system. These sensors' values can be read by the students to compute the correct output for the LED matrix. The result is captured and sent back to the students for direct feedback. Furthermore, unit tests can be used to automatically evaluate the programming results. The system was evaluated during a MOOC course about web technologies using JavaScript. Evaluation results are taken from the student’s feedback and an evaluation of the students’ code executions on the system. The positive feedback and the evaluation of the students’ executions, which shows a higher amount of code executions compared to standard programming tasks and the fact that students solving these tasks have overall better course results, highlight the advantage of the approach. Due to the evaluation results, this approach should be used in e-learning e.g. MOOCs teaching programming languages to increase the learning experience and motivate students to learn programming. },
keywords = { Teleteaching, Tele-Lecturing, Distance Learning, E-Learning, Virtual Lab },
publisher = { IEEE },
booktitle = { The IEEE Global Engineering Education Conference (EDUCON) 2016 },
priority = { 0 }
}

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last change: Mon, 21 Dec 2015 10:10:21 +0100

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