Higher Education Archives - Page 4 of 10

Mar202023 by Ioana JivetNo Comments

Best Short Paper Award Nomination @LAK23

Award, Conference, Conference, Higher Education, Learning Analytics

The protection of students’ privacy in learning analytics (LA) applications is critical for cultivating trust and effective implementations of LA in educational environments around the world. However, students’ privacy concerns and how they may vary along demographic dimensions that historically influence these concerns have yet to be studied in higher education. Gender differences, in particular, are known to be associated with people's information privacy concerns, including in educational settings. Building on an empirically validated model and survey instrument for student privacy concerns, their antecedents and their behavioral outcomes, we investigate the presence of gender differences in students’ privacy concerns about LA. We conducted a survey study of students in higher education across five countries (N = 762): Germany, South Korea, Spain, Sweden and the United States. Using multiple regression analysis,…

Mar82023 by Sebastian WollnyNo Comments

New Pub: Students’ expectations of Learning Analytics across Europe

Higher Education, Journal, Learning Analytics

What do European students expect from Learning Analytics? To help Higher Education Institutions (HEIs) develop and implement Learning Analytics systems that support students' learning, a new article of Sebastian Wollny et al. investigates in the Journal of Computer Assisted Learning the individual LA expectations of European higher education students. In this article a ‘Student Expectations of Learning Analytics Questionnaire’ (SELAQ) survey with 417 participating students was applied at the Goethe University Frankfurt (Germany) and compared with responses of students from Madrid (Spain), Edinburgh (United Kingdom) and the Netherlands. Results: The results show that students’ expectations at Goethe University Frankfurt itself are rather homogeneous regarding ‘LA Ethics and Privacy’ and ‘LA Service Features’. Furthermore, it reveals that European students generally show a consistent pattern of expectations of LA with a high…

Mar72023 by Atezaz AhmadNo Comments

New Pub: Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths

Higher Education, Learning Analytics

Abstract—Current lifelong learning platforms offer users a query option to select a wide variety of courses. However, finding a suitable course among the seemingly endless catalogs of options presented by the platforms is not straightforward. We argue that digital counseling can enhance this process. In this paper, we present a set of three formative studies where we explored the main aspects that can provide the counseling needed. The methods comprise an analysis of user profile characteristics and learning analytics indicators (e.g., learning progress/self-regulation) by means of an expert workshop, evaluating the feasibility of current technologies (e.g., natural language processing) for automatically assessing users' competencies, and a survey on the use of Chatbots as the interaction interface between the users and the lifelong learning portals. The analysis resulted in the extraction…

Dec202022 by Prof. Dr. Hendrik DrachslerNo Comments

HILA Keynote @ CEL annual meeting

Conference, Feedback, Higher Education, Invited talk, Keynote, Learning Analytics, Learning Design, Transfer Activity

Hendrik Drachsler gave a keynote @ the LDE CEL Annual Meeting under the theme ‘Developing a Culture of Learning Analytics'. Hendrik summarized the achievements of the Highly Informative and Learning Analytics (HILA) research program, that is the successor of the Trusted Learning Analytics research program conducted in Frankfurt, Germany. After two years of digital annual meetings, finally CEL could invite again to their annual meeting 2022 at the CEL Teaching Lab. Among keynotes from Simon Buckingham Shum (University of Technology Sydney), and Alyssa Friend Wise (New York University), Hendrik presented the latest research outcomes on Highly Informative and Learning Analytics (HILA) research program. Highly informative and competency-based feedback is costly and can be best given in small teacher-to-learner settings. According to research, feedback has a powerful effect on learning success;…

Oct312022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Untangling connections between challenges in the adoption of learning analytics in higher education

Empirical Study, Higher Education, Journal, Learning Analytics, Publication

[caption id="attachment_4599" align="alignnone" width="967"] Associations of challenges and ethics: (a) none, (b) prep-partial, and (c) full adoption institutions[/caption] Potential benefits of learning analytics (LA) for improving students' performance, predicting students' success, and enhancing teaching and learning practice have increasingly been recognized in higher education. However, the adoption of LA in higher education institutions (HEIs) to date remains sporadic and predominantly small in scale due to several socio-technical challenges. To better understand why HEIs struggle to scale LA adoption, it is needed to untangle adoption challenges and their related factors. This paper presents the findings of a study that sought to investigate the associations of adoption factors with challenges HEIs face in the adoption of LA and how these associations are compared among HEIs at different scopes of adoption. The study…

Sep152022 by Ioana JivetNo Comments

Third edition of the Culturally Aware Learning Analytics (CARLA) Workshop at ECTEL22

Conference, General education, Higher Education, Learning Analytics, Workshop

On the 13th of September, as part of the EC-TEL22 conference, EduTec team member Ioana Jivet co-hosted the third edition of the Culturally Aware Learning Analytics (CARLA) Workshop together with Olga Viberg from KTH Stockholm and Maren Scheffel from Ruhr University Bochum. Learning analytics (LA) have been implemented in various countries, often at a limited scale. We have also seen that LA have been used in different ways in different countries. This makes the transfer of LA solutions from one country to another challenging, due to varying contextual, technical, and cultural factors. Also, the idea that a ‘one size fits all’ paradigm does not lead to effective LA tool designs and implementation has become accepted within both TEL and LA communities. Yet, there is still a big question about what…

Sep142022 by Sebastian GombertNo Comments

New Pub: Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection

Computer-supported collaborative learning, Conference, Conference, Event, Further Education, General education, Higher Education, Learning Analytics, Lifelong Learning, Publication, School, Technical paper

A new system demonstration paper authored by Lukas Menzel, Sebastian Gombert, Daniele Di Mitri and Henrik Drachsler has been released as part of the ECTEL 2022 proceedings. In this paper, we present Hyperchalk, a self-hosted collaborative online whiteboard software. Similar to commercial solutions like Miro or Flinga, this software provides users with collaborative boards which they can use to draw, write or sketch together. However, unlike commercial solutions, Hyperchalk allows for collecting rich log data, which can be used to study the behaviour of its users and to allow Learning Analytics and studies on computer-supported collaborative learning. Moreover, Hyperchalk comes with a built-in replay mode which allows watching how users behave in its spaces. It supports the LTI1.3 standard, which enables seamless integration with learning management systems such as Moodle,…

Sep142022 by Daniele Di MitriNo Comments

New Pub: Actionable Components of a Model for Augmented Feedback

Feedback, Higher Education, Multimodal Learning Analytics, Workshop

A new workshop paper was presented at the MILeS 2022 workshop written by Daniele Di Mitri, Sebastian Gombert, Onur Karademir entitled: Reflecting on the Actionable Components of a Model for Augmented Feedback. The MILeS 2022 – Multimodal Immersive Learning Systems workshop took place on the 13th of September at EC-TEL 2022 conference taking place in Toulouse, France. The paper will appear in the CEUR proceedings. Abstract. In this paper, we introduce the concept of "Augmented feedback'' as an enhanced version of traditional educational feedback enriched by digital data and artificial intelligence. To provide an operational definition of augmented feedback, we acknowledge previous research in the fields of technology-enhanced learning and learning analytics. We argue why augmented feedback constitutes a promising research direction for the future of learning. We define the…

Sep122022 by Joshua WeidlichNo Comments

DGHD Nachwuchspreis for Joshua Weidlich

Award, Conference, Higher Education, PhD defense

At this year's DGHD2022 in Paderborn, the German Society for Higher Education Pedagogy (Deutsche Gesellschaft für Hochschuldidaktik: DGHD) awarded Dr. Joshua Weidlich for his dissertation on the topic of social presence in online distance education. Supervised by Prof. Dr. Theo Bastiaens, he conducted his dissertation at FernUniversität in Hagen, the largest distance education provider in Germany. The jury commended the scientific merits of advancing this line of research while also providing ample practical implications for higher education teaching. The dissertation is available online here and further information about the award will be published here.

Sep112022 by Daniele Di MitriNo Comments

New pub: The Rise of Multimodal Tutors in Education

Artificial Intelligence, Book chapter, Further Education, Higher Education, Multimodal Learning Analytics, Open access, Publication

A book chapter entitled "The Rise of Multimodal Tutors in Education" written by Daniele Di Mitri, Jan Schneider & Hendrik Drachsler was published open access in the "Handbook of Open, Distance and Digital Education" edited by Olaf Zawacki-Richter and Insung Jung. Abstract This chapter describes the insights derived from the design and development of the Multimodal Tutor, a system that uses artificial intelligence to provide digital feedback and support psychomotor skills acquisition. In this chapter, we discuss the insights which we gained from eight studies: (1) an exploratory study combining physiological data and learning performance (Learning Pulse); (2) a literature survey on multimodal data for learning and a conceptual model (the Multimodal Learning Analytics Model); (3) an analysis of the technical challenges of Multimodal Learning Analytics (the Big Five Challenges);…