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[publication] Scheduling Interactions in Learning Videos: A State Machine Based Algorithm #tugraz #Interactive

We did an article about „Scheduling Interactions in Learning Videos: A State Machine Based Algorithm“ for the first issue of the „International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)„.

Abstract:

Based on the currently developing trend of so called Massive Open Online Courses it is obvious that learning videos are more in use nowadays. This is some kind of comeback because due to the maxim “TV is easy, book is hard” [1][2] videos were used rarely for teaching. A further reason for this rare usage is that it is widely known that a key factor for human learning is a mechanism called selective attention [3][4]. This suggests that managing this attention is from high importance. Such a management could be achieved by providing different forms of interaction and communication in all directions. It has been shown that interaction and communication is crucial for the learning process [6]. Because of these remarks this research study introduces an algorithm which schedules interactions in learning videos and live broadcastings. The algorithm is implemented by a web application and it is based on the concept of a state machine. Finally, the evaluation of the algorithm points out that it is generally working after the improvement of some drawbacks regarding the distribution of interactions in the video.

[article @ journal’s homepage]

[article @ ResearchGate]

Reference: Wachtler, J., Ebner, M. (2019) Scheduling Interactions in Learning Videos: A State Machine Based Algorithm. IN: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI). 2019(1). pp. 58-76

[publication] Potentials of Chatbots for Spell Check among Youngsters #tugraz #chatbot #research #LearningAnalytic

We did an article about „Potentials of Chatbots for Spell Check among Youngsters“ for the first issue of the „International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)„.

Abstract:

Chatbots are already being used successfully in many areas. This publication deals with the development and programming of a chatbot prototype to support learning processes. This Chatbot prototype is designed to help pupils in order to correct their spelling mistakes by providing correction proposals to them. Especially orthographic spelling mistake should be recognized by the chatbot and should be replaced by correction suggestions stored in test data.

[article @ journal’s homepage]

[article @ ResearchGate]

Reference: Arifi, J., Ebner, M., Ebner, M. (2019) Potentials of Chatbots for Spell Check among Youngsters. IN: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI). 2019(1). pp. 77-88

[CfP] Positioning Artificial Intelligence in Education –Evidence and Reflections #ijai #reseach #tugraz

We would like to call for you contribution to a call for „Positioning Artificial Intelligence in Education –Evidence and Reflections„. We would like to do a special issue for the International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI).

Due to recent technological advancements, artificial intelligence (AI) has received increased attention and has been adopted to many sectors and fields, thus, producing a profound impact. Given the rapid advancement of AI, it is expected that AI will continue to develop, integrate deeper and in many different sectors. Although the application of AI in the educational sector has been the subject of research for more than 30 years, a renewed and enforced interest in AI in education can be documented through the themes of scientific conferences, workshops and research papers, as well as how the Edtech industry is increasing efforts to integrate AI in educational applications. Indeed, this development is not unexpected considering that AI is associated with potentials of more personalized, adaptive and inclusive learning, and with empowered teachers and advanced learning environments. This Special Issue aims at highlighting contemporary research that covers AI in education. We are looking forward to receive both theoretical and empirical papers that provide readers with a better understanding of the theoretical discussions that are currently taking place, the empirical studies that are conducted, and the AI applications and systems that are developed

Submission of full paper: December 10, 2019

Find here the „Call for Paper“ with all details.