New Pub: Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

New Pub: Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

October 19, 2021
General education, Journal, Learning Analytics, Lifelong Learning, Multimodal Learning Analytics, Open access, Project, Publication, Research topic, Target group, Technical paper, Uncategorized
Research shows that various contextual factors can have an impact on learning. Some of these factors can originate from the physical learning environment (PLE) in this regard. When learning from home, learners have to organize their PLE by themselves. This paper is concerned with identifying, measuring, and collecting factors from the PLE that may affect learning using mobile sensing. More specifically, this paper first investigates which factors from the PLE can affect distance learning. The results identify nine types of factors from the PLE associated with cognitive, physiological, and affective effects on learning. Subsequently, this paper examines which instruments can be used to measure the investigated factors. The results highlight several methods involving smart wearables (SWs) to measure these factors from PLEs successfully. Third, this paper explores how software infrastructure…
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New Pub: Analysis of the “D’oh!” moments.

New Pub: Analysis of the “D’oh!” moments.

October 12, 2021
Artificial Intelligence, Conference, Conference, Further Education, Higher Education, Lifelong Learning, Multimodal Learning Analytics, Publication
“Soul and body, I suggest reacting sympathetically upon each other. A change in the state of the soul produces a change in the shape of the body and conversely, a change in the shape of the body produces a change in the state of the soul.” To test this hypothesis proposed by Aristotle, our bachelor student Tetiana Buraha investigated the physiology of students performing task-switching exercises. The physiological data were collected using an Empatica E4 band. The performances of the students were compared against the physiological data using descriptive statistics and machine learning techniques. The analysis of Tetiana enabled the identification of interesting correlations between galvanic skin response and performance, and models to predict performance based on the physiological data. Results of her excellent thesis were published and presented at…
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New Pub: Get your Back Straight!

New Pub: Get your Back Straight!

October 12, 2021
Conference, Conference, Game, Lifelong Learning, Multimodal Learning Analytics, Publication
“Mens sana in corpore sano” is a phrase that we all have heard multiple times in our life. We know all the positive effects of Sports and Exercise. However, let’s face it! Physical activity is not always fun and when doing it incorrectly without any guidance or feedback it is difficult to see improvements or even worse, we can face the risk of injury. To address these issues Anna Meik for her bachelor thesis developed the Pilates correction App. An application designed to support the practice of the “Kneeling Arm and Leg Reach” Pilates exercise in a gamified way, where the user helps a virtual rocket to reach high scores through the stability of their lower backs. Meik, A., Schneider, J., & Schiffner, D. (2021). Get your back straight! Learn…
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New MMLA Pub: Get your back straight! Learn Pilates with the Pilates Correction App

New MMLA Pub: Get your back straight! Learn Pilates with the Pilates Correction App

September 8, 2021
Conference, General education, Multimodal Learning Analytics, Open access, Publication
Currently, a vast number of the population faces several barriers like the lack of motivation and guidance that impede them from practicing physical activities. Thus, we developed the Pilates Correction Game (PCG), a gamified application designed to support learners with the practice of Pilates. The PCG is composed of two applications: a smartphone application that tracks the learner’s back posture and a PC game that steers a rocket and calculates a score based on the smartphone's information. In this paper, we present a user experience evaluation on the PCG. Our results show that PCG was positively perceived by participants and in most cases helped them to improve their posture while doing the Pilates exercise. Furthermore, it is also motivating them to continue with the training. Reference: Meik, A., Schneider, J.,…
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Gianluca Romano joins the team

Gianluca Romano joins the team

July 28, 2021
Higher Education, Multimodal Learning Analytics, Team
Starting July 2021, Gianluca Romano joins the team as a doctoral researcher. He holds a Master's as well as a Bachelor's degree in Computer Science from the Goethe University Frankfurt. He finished his study with a thesis on an Intelligent Tutoring System for dancing which was also published in an online journal. Further, he has experience as an AI Engineer and currently is also employed as a Machine Learning Engineer.
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Fernando P. Cardenas-Hernandez joins the team

Fernando P. Cardenas-Hernandez joins the team

July 28, 2021
Multimodal Learning Analytics, Project, Team
Starting 1st July 2021, Fernando P. Cardenas-Hernandez joins the team as a doctoral researcher.  He earned his Master’s degree in Microsystems from the University of Freiburg. After his graduation, he worked as a software engineer in different companies. Some of his previous projects made use of microcontrollers, SBCs and thermal & industrial cameras. He is currently involved in the MILKI-PSY project.
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New Pub: Literature Review on Co-Located Collaboration Modeling Using Multimodal Learning Analytics—Can We Go the Whole Nine Yards?

New Pub: Literature Review on Co-Located Collaboration Modeling Using Multimodal Learning Analytics—Can We Go the Whole Nine Yards?

July 21, 2021
General education, Journal, Literature review, Multimodal Learning Analytics, Open access, Publication
Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of sensors, multimodal learning analytics has gained momentum to detect CC quality. Indicators (or low-level events) can be used to detect CC quality with the help of measurable markers (i.e., indexes composed of one or more indicators) which give the high-level collaboration process definition. However, this understanding is incomplete without considering the scenarios (such as problem solving or meetings) of CC. The scenario of CC affects the set of indicators considered: for instance, in collaborative programming, grabbing the mouse…
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SoLAR webinar on: Investigating persistent and new challenges of learning analytics

SoLAR webinar on: Investigating persistent and new challenges of learning analytics

July 6, 2021
Artificial Intelligence, Computational Psychometrics, Higher Education, Keynote, Learning Analytics, Learning Design, Multimodal Learning Analytics, School, Workshop
On 29 June 2021, Hendrik Drachsler gave an invited webinar for the SoLAR webinar channel where he reflected the process of applying learning analytics solutions within higher education settings and schools, its implications, and the critical lessons learned in the Trusted Learning Research Program. The talk focused on the experience of edutec.science research collective consisting of researchers from the Netherlands and Germany that contribute to the Trusted Learning Analytics (TLA) research program. The TLA program aims to provide actionable and supportive feedback to students and stands in the tradition of human-centred learning analytics concepts.  It, therefore, applies sensor technology to support psychomotor as well as web technology to support meta-cognitive and collaborative learning skills with high-informative feedback methods. Hendrik applies validated measurement instruments from the field of psychometric and investigates…
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Meine KI-Forschung hilft dabei, produktive Lernverläufe zu identifizieren und Kompetenzen zu verbessern

Meine KI-Forschung hilft dabei, produktive Lernverläufe zu identifizieren und Kompetenzen zu verbessern

May 29, 2021
Artificial Intelligence, Higher Education, Multimodal Learning Analytics, Press
[This article appeared on bildungsserver.de and it was written by Christine Schumann for Deutscher Bildungsserver] Wie bei digitalen Lerneinheiten entstehende Daten für personalisiertes Feedback genutzt werden können. FRAGEN AN Daniele Di Mitri, der im April 2021 in der Kategorie Geistes- und Sozialwissenschaften zum AI-Newcomer des Jahres gewählt wurde. Am DIPF | Leibniz-Institut baut er gerade eine Forschungsgruppe zum Thema Künstliche Intelligenz auf, um verantwortungsvolle KI-Systeme für die Bildung zu entwickeln. Zurzeit konzentrieren sich seine Arbeiten auf praktische Lernaufgaben – und nicht auf allgemeine Lernsituationen im Klassenzimmer. Herr Di Mitri, sind Sie stolz auf Ihre Auszeichnung als „AI Newcomer“ des Jahres 2021? Ja, ich bin begeistert, dass ich im Rahmen des KI-Camps zum „AI Newcomer of 2021“ gewählt wurde. Das KI-Camp ist das nationale Event in Deutschland zur Künstlichen Intelligenz, das das Bundesministerium für…
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Interview for Hessischer Rundfunk

Interview for Hessischer Rundfunk

May 20, 2021
Artificial Intelligence, Higher Education, Multimodal Learning Analytics, Press
Dr. Draniele Di Mitri was interviewed (in German) by Hessischer Rundfunk by Alexander Schmitt. The theme of the episode was: Artificial intelligence is penetrating deeper and deeper into our lives: we talk to computers, rely on their search results and will soon be driven by robot cars. The revolution is just beginning. What are young research talents in Hesse working on? [audio mp3="https://edutec.science/wp-content/uploads/2021/05/hr-info_wirtschaft_20210512_87919984-AudioTrimmer.com_.mp3"][/audio] Listen to the entire episode  Below the answer to the questions translated into English: *** You are interested in education and in technology - is it related to your parents? Yes, I believe I inherited my two main passions from my parents. My father was a first-generation software engineer and my mother was a teacher. In my teenage years, my father showed me how to create a…
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