TY - JOUR A1 - Mah, Dana-Kristin A1 - Ifenthaler, Dirk T1 - What do first-year students need? BT - digital badges for academic support to enhance student retention JF - Journal of applied research in higher education N2 - The purpose of this paper is to analyse data on first-year students’ needs regarding academic support services and reasons for their intention to leave the institution prior to degree completion. On the basis of the findings, a digital badge outline is proposed which could contribute to improved communication of academic requirements in order to help students to better adapt to higher education demands. Digital badges might also serve as an indicator for students’ needing additional academic support services. KW - Higher education KW - Retention KW - Learning analytics KW - First-year students Y1 - 2019 U6 - https://doi.org/10.1108/JARHE-12-2018-0258 SN - 2050-7003 SN - 1758-1184 VL - 12 IS - 1 SP - 86 EP - 96 PB - Emerald Group Publishing Limited CY - Bingley ER - TY - JOUR A1 - Mah, Dana-Kristin A1 - Ifenthaler, Dirk T1 - Students perceptions toward academic competencies BT - the case of German first-year studentsfirst-year students JF - Issues in Educational Research N2 - Students often enter higher education academically unprepared and with unrealistic perceptions and expectations regarding academic competencies for their studies. However, preparedness and realistic perceptions are important factors for student retention. With regard to a proposed model of five academic competencies(time management, learning skills, technology proficiency, self-monitoring, and research skills), incoming students’ perceptions concerning academic staff support and students’ selfreported confidence at a German university were examined. Using quantitative data, an initial exploratory study was conducted (N = 155), which revealed first-year students’ perceptions of the role of academic staff in supporting their development, especially in research skills, as well as low self-reported confidence in this competence. Thus, a follow up study (N = 717) was conducted to confirm these findings as well as to provide an indepth understanding of research skills. Understanding students’ perceptions is crucial if higher education institutions are to meet students’ needs and provide adequate support services in the challenging first year. Thus, in order to increase student retention, it is suggested that universities assist first-year students in developing academic competencies through personalised competence-based programs and with the help of emerging research fields and educational technologies such as learning analytics and digital badges. Y1 - 2018 UR - http://www.iier.org.au/iier28/mah-abs.html SN - 1837-6290 VL - 28 IS - 1 SP - 120 EP - 137 PB - Institutes for Educational Research CY - Rockingham ER - TY - JOUR A1 - Egloffstein, Marc A1 - Hünemohr, Holger A1 - Ifenthaler, Dirk ED - Meinel, Christoph ED - Schweiger, Stefanie ED - Staubitz, Thomas ED - Conrad, Robert ED - Alario Hoyos, Carlos ED - Ebner, Martin ED - Sancassani, Susanna ED - Żur, Agnieszka ED - Friedl, Christian ED - Halawa, Sherif ED - Gamage, Dilrukshi ED - Scott, Jeffrey ED - Kristine Jonson Carlon, May ED - Deville, Yves ED - Gaebel, Michael ED - Delgado Kloos, Carlos ED - von Schmieden, Karen T1 - Modularization of open online courses on the eGov-Campus BT - prospects and challenges JF - EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? N2 - Modularization describes the transformation of MOOCs from a comprehensive academic course format into smaller, more manageable learning offerings. It can be seen as one of the prerequisites for the successful implementation of MOOC-based micro-credentials in professional education and training. This short paper reports on the development and application of a modularization framework for Open Online Courses. Using the example of eGov-Campus, a German MOOC provider for the public sector linked to both academia and formal professional development, the structural specifications for modularized MOOC offerings and a methodology for course transformation as well as associated challenges in technology, organization and educational design are outlined. Following on from this, future prospects are discussed under the headings of individualization, certification and integration. KW - Digitale Bildung KW - Kursdesign KW - MOOC KW - Micro Degree KW - Online-Lehre KW - Onlinekurs KW - Onlinekurs-Produktion KW - digital education KW - e-learning KW - micro degree KW - micro-credential KW - online course creation KW - online course design KW - online teaching Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-623888 SP - 105 EP - 112 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Ifenthaler, Dirk T1 - Learning analytics design JF - The Sciences of Learning and Instructional Design : Constructive Articulation Between Communities N2 - Instructional designers use learning analytics information to evaluate designs of learning environments, learning materials, and tasks, and adjust difficulty levels, as well as measure the impact of interventions and feedback. Integrating real-time educational data and analysis into the design of learning environments, referred to as learning analytics design (LAD), seems to be a promising approach. Valid pedagogical recommendations may be suggested on the fly as learning analytics methodologies and visualizations evolve and as reliable tools become available and ready for classroom practice. This chapter aims to offer an overview on design and analytics of learning environments before reviewing opportunities of learning analytics design for optimizing learning environments in near real time. Learning analytics (LA) use static and dynamic information about learners and learning environments—assessing, eliciting, and analyzing them—for real-time modeling, prediction, and optimization of learning processes, learning environments, and educational decision-making. Y1 - 2018 SN - 978-1-138-92432-1 SN - 978-1-315-68444-4 SN - 978-1-138-92431-4 SP - 202 EP - 211 PB - Routledge CY - Abingdon ER - TY - JOUR A1 - Ifenthaler, Dirk T1 - Challenges of a Holistic Learning Analytics Project JF - E-Learning Symposium 2014 : Mobil und vernetzt – studieren im digitalen Zeitalter ; Potsdam, 14. November 2014 N2 - Recently, interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognising the value of learning analytics for improving not only learning and teaching but also the entire educational arena. However, theoretical concepts and empirical evidence need to be generated within the fast evolving field of learning analytics. In this paper, we introduce a holistic learning analytics framework. Based on this framework, student, learning, and curriculum profiles have been developed which include relevant static and dynamic parameters for facilitating the learning analytics framework. Based on the theoretical model, an empirical study was conducted to empirically validate the parameters included in the student profile. The paper concludes with practical implications and issues for future research. Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-442303 SP - 15 EP - 28 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Şahin, Muhittin A1 - Egloffstein, Marc A1 - Bothe, Max A1 - Rohloff, Tobias A1 - Schenk, Nathanael A1 - Schwerer, Florian A1 - Ifenthaler, Dirk T1 - Behavioral Patterns in Enterprise MOOCs at openSAP JF - EMOOCs 2021 Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-517350 SN - 978-3-86956-512-5 VL - 2021 SP - 281 EP - 288 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Mah, Dana-Kristin A1 - Ifenthaler, Dirk T1 - Academic staff perspectives on first-year students’ academic competencies JF - Journal of applied research in higher education : JARHE N2 - Purpose: The purpose of this paper is to examine the expectations, perceptions and role understanding of academic staff using a model of academic competencies (i.e. time management, learning skills, technology proficiency, self-monitoring and research skills). Design/methodology/approach: Semi-structured interviews were conducted with ten members of academic staff at a German university. Participants’ responses to the open-ended questions were coded inductively, while responses concerning the proposed model of academic competencies were coded deductively using a priori categories. Findings: Participating academic staff expected first-year students to be most competent in time management and in learning skills; they perceived students’ technology proficiency to be rather high but their research skills as low. Interviews indicated a mismatch between academic staff expectations and perceptions. Practical implications: These findings may enable universities to provide support services for first-year students to help them to adjust to the demands of higher education. They may also serve as a platform to discuss how academic staff can support students to develop the required academic competencies, as well as a broader conversation about higher education pedagogy and competency assessment. Originality/value: Little research has investigated the perspectives of academic staff concerning the academic competencies they expect of first-year students. Understanding their perspectives is crucial for improving the quality of institutions; their input into the design of effective support services is essential, as is a constructive dialogue to identify strategies to enhance student retention. KW - Expectations KW - Support KW - First-year experience KW - Academic competencies KW - Academic staff perspectives Y1 - 2017 U6 - https://doi.org/10.1108/JARHE-03-2017-0023 SN - 2050-7003 SN - 1758-1184 VL - 9 IS - 4 SP - 630 EP - 640 PB - Emerald Group Publishing Limited CY - Bingley ER -