Bibliothek

@inbook{Seidel2018,
title = {Aufgabentypen für das Zusammenspiel von E-Assessment und Lernvideos},
author = {Niels Seidel},
editor = {Aline Bergert and Anje Lehmann and Maja Liebscher and Jens Schulz},
url = {http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-312017},
isbn = {978-3-86012-575-5},
year = {2018},
date = {2018-08-10},
urldate = {2018-11-18},
booktitle = {Videocampus Sachsen – Machbarkeitsuntersuchung},
pages = {45–60},
publisher = {TU Bergakademie Freiberg},
address = {Freiberg},
edition = {1},
institution = {Medienzentrum der TU Bergakademie Freiberg},
series = {Freiberger Forschungshefte},
abstract = {Lernvideos werden oft als Instruktionsmedien verstanden, die Lerninhalte in audiovisueller Form konservieren und transportieren. Dieser Beitrag ergänzt diese Sichtweise um den Aspekt der Überprüfung des Lernerfolgs mit Hilfe von E-Assessments. Durch die Integration von speziellen Aufgabentypen in den Ablauf der Videowiedergabe können höhere Kompetenzlevel geprüft und weiterführende didaktische Intentionen, Lernszenarien und -formen umgesetzt werden. Im Rahmen der Verbundförderung des Videocampus Sachsen (VCS) konnten entsprechende Feldstudien ausgewertet und Pilotanwendungen im Rahmen des Innovationsvorhabens ViAssess entwickelt werden.},
keywords = {Assessment, e-Assessment, higher education, O, Saxony, teaching, video},
pubstate = {published},
tppubtype = {inbook}
}

@article{Butler2018,
title = {Multiple-Choice Testing in Education: Are the Best Practices for Assessment Also Good for Learning?},
author = {Andrew C. Butler},
url = {https://doi.org/10.1016/j.jarmac.2018.07.002
http://www.sciencedirect.com/science/article/pii/S2211368118301426},
doi = {10.1016/j.jarmac.2018.07.002},
issn = {2211-3681},
year = {2018},
date = {2018-07-31},
urldate = {2018-10-20},
journal = {Journal of Applied Research in Memory and Cognition},
volume = {7},
number = {3},
pages = {323–331},
abstract = {Multiple-choice tests are arguably the most popular type of assessment in education, and much research has been dedicated to determining best practices for using them to measure learning. The act of taking a test also causes learning, and numerous studies have investigated how best to use multiple-choice tests to improve long-term retention and produce deeper understanding. In this review article, I explore whether the best practices for assessment align with the best practices for learning. Although consensus between these two literatures is not a foregone conclusion, there is substantial agreement in how best to construct and use multiple-choice tests for these two disparate purposes. The overall recommendation from both literatures is to create questions that are simple in format (e.g., avoid use of complex item types), challenge students but allow them to succeed often, and target specific cognitive processes that correspond to learning objectives.},
keywords = {Assessment, Learning, Multiple-choice, O, Testing},
pubstate = {published},
tppubtype = {article}
}

@article{vandezee2018,
title = {Open Education Science},
author = {Tim van der Zee and Justin Reich},
url = {https://doi.org/10.1177/2332858418787466},
doi = {10.1177/2332858418787466},
year = {2018},
date = {2018-07-16},
journal = {AERA Open},
volume = {4},
number = {3},
pages = {1–15},
abstract = {Scientific progress is built on research that is reliable, accurate, and verifiable. The methods and evidentiary reasoning that underlie scientific claims must be available for scrutiny. Like other fields, the education sciences suffer from problems such as failure to replicate, validity and generalization issues, publication bias, and high costs of access to publications—all of which are symptoms of a nontransparent approach to research. Each aspect of the scientific cycle—research design, data collection, analysis, and publication—can and should be made more transparent and accessible. Open Education Science is a set of practices designed to increase the transparency of evidentiary reasoning and access to scientific research in a domain characterized by diverse disciplinary traditions and a commitment to impact in policy and practice. Transparency and accessibility are functional imperatives that come with many benefits for the individual researcher, scientific community, and society at large—Open Education Science is the way forward.},
keywords = {O, open access, open science, preregistration, registered report},
pubstate = {published},
tppubtype = {article}
}

@article{schulmeister2017,
title = {Mythen der Digitalisierung mit Blick auf Studium und Lernen},
author = {Rolf Schulmeister and Jörn Loviscach},
editor = {Christian Leineweber and Claudia de Witt},
url = {https://ub-deposit.fernuni-hagen.de/receive/mir_mods_00001055
http://www.fernuni-hagen.de/KSW/portale/ifbm/bildung_medien/medien-im-diskurs/digitale-transformation-im-diskurs/},
year = {2018},
date = {2018-03-07},
urldate = {2018-03-31},
journal = {Digitale Transformation im Diskurs: Kritische Perspektiven auf Entwicklungen und Tendenzen im Zeitalter des Digitalen},
pages = {1–21},
address = {Hagen},
abstract = {Der Online-Sammelband "Dgitale Transformation im Diskurs" erscheint im Rahmen der Reihe "Medien im Diskurs" (Lehrgebiet Bildungstheorie und Medienpädagogik, Leitung: Prof. Dr. Claudia de Witt). Im Zentrum steht die Entfaltung von Perspektiven, die kontradiktorisch zum gegenwärtig wahrzunehmenden Digitalisierungshype stehen, und Digitalisierung insofern in ein kritisches Licht rücken lassen. Wir folgen damit der These, dass die besonderen Potenziale der Digitalisierung erst dann final abgeschätzt werden können, wenn auch ihre Schattenseiten beleuchtet werden.},
keywords = {Digitalisierung, Mythen, O, Studium},
pubstate = {published},
tppubtype = {article}
}

@article{Bicen2018,
title = {Perceptions of Students for Gamification Approach: Kahoot as a Case Study},
author = {Huseyin Bicen and Senay Kocakoyun},
url = {http://online-journals.org/index.php/i-jet/article/view/7467
http://dx.doi.org/10.3991/ijet.v13i02.7467},
doi = {10.3991/ijet.v13i02.7467},
issn = {1863-0383},
year = {2018},
date = {2018-02-27},
urldate = {2018-05-16},
journal = {International Journal of Emerging Technologies in Learning (iJET)},
volume = {13},
number = {2},
publisher = {kassel university press GmbH},
abstract = {A novel learning experience that increases student motivation can be created in a learning environment that includes a gamification approach to assess competence. Student views on gamification were surveyed to determine the best application of this method, the environment necessary for its use, and the manner by which the application should proceed. The effect of a gamification approach on student achievement through intra-class competition was assessed using quantitative and qualitative methods. In this study, the Kahoot application was the preferred gamification method used. Participating students included 65 undergraduate students studying at the Department of Preschool Teaching. The findings showed that inclusion of a gamification method increased the interest of students in the class, and increased student ambitions for success. This method was also found to have a positive impact on student motivation. Furthermore, the results of this study indicate that the Kahoot application can be used effectively for gamification of lessons. In conclusion, the gamification method has an impact on students that renders them more ambitious and motivated to study.},
keywords = {achievement, competition, gamification, motivation, O, students},
pubstate = {published},
tppubtype = {article}
}

@article{Kardas2018,
title = {Easier Seen Than Done: Merely Watching Others Perform Can Foster an Illusion of Skill Acquisition},
author = {Michael Kardas and Ed O’Brien},
url = { https://doi.org/10.1177/0956797617740646},
doi = {10.1177/0956797617740646},
year = {2018},
date = {2018-02-16},
journal = {Psychological Science},
volume = {29},
number = {4},
pages = {521-536},
abstract = {Modern technologies such as YouTube afford unprecedented access to the skilled performances of other people. Six experiments (N = 2,225) reveal that repeatedly watching others can foster an illusion of skill acquisition. The more people merely watch others perform (without actually practicing themselves), the more they nonetheless believe they could perform the skill, too (Experiment 1). However, people’s actual abilities—from throwing darts and doing the moonwalk to playing an online game—do not improve after merely watching others, despite predictions to the contrary (Experiments 2–4). What do viewers see that makes them think they are learning? We found that extensive viewing allows people to track what steps to take (Experiment 5) but not how those steps feel when taking them. Accordingly, experiencing a “taste” of performing attenuates the illusion: Watching others juggle but then holding the pins oneself tempers perceived change in one’s own ability (Experiment 6). These findings highlight unforeseen problems for self-assessment when watching other people.},
keywords = {empathy gap, O, open data, open materials, preregistered, repeated exposure, self-assessment},
pubstate = {published},
tppubtype = {article}
}

@unpublished{Kemper2018,
title = {Predicting Student Dropout: A Machine Learning Approach},
author = {Lorenz Kemper},
url = {https://www.researchgate.net/publication/322919234_Predicting_Student_Dropout_a_Machine_Learning_Approach},
year = {2018},
date = {2018-02-01},
urldate = {2018-08-22},
institution = {Karlsruhe Institute of Technology (KIT)},
abstract = {We perform two approaches of machine learning, logistic regression and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without need of collection. Therefore, we propose a methodical approach that may be put in practice with relative ease at other institutions. Using a Hellinger-Distance splitting approach we find decision trees to produce slightly better results. However, both methods yield high prediction accuracies of up to 95% after three semesters. A classification with more than 83% accuracy is already possible after the first semester. Within our analysis we show, that resampling techniques can improve the detection of at-risk students.},
keywords = {descision trees, dropout, higher education, logistic regression, machine learning, massive open online courses (MOOCs), O, prediction, students, Studienerfolg},
pubstate = {published},
tppubtype = {unpublished}
}

@article{Johnstone2018,
title = {Public pedagogy and representations of higher education in popular film: New ground for the scholarship of teaching and learning},
author = {Katelyn Johnstone and Elizabeth Marquis and Varun Puri},
url = {https://doi.org/10.20343/teachlearninqu.6.1.4},
doi = {10.20343/teachlearninqu.6.1.4},
issn = {2167-4787},
year = {2018},
date = {2018-01-01},
journal = {Teaching & Learning Inquiry},
volume = {6},
number = {1},
abstract = {Constructions of teaching, learning, and the university within popular culture can exert an important influence on public understandings of higher education, including those held by faculty and students. As such, they constitute a rich site of inquiry for the scholarship of teaching and learning. Drawing on the notion of film as ‘public pedagogy,’ this article analyses representations of higher education within 11 top grossing and/or critically acclaimed films released in 2014. We identify three broad themes across these texts—the purpose of higher education, relationships between students and professors, and the creation of academic identities—and consider the implications and functions of these representational patterns for teaching, learning, and SoTL. Particular attention is given to the difference between the framing of science and arts and humanities disciplines, and to how this might resonate with the contemporary ‘crisis of the humanities.’},
keywords = {academic identities disciplinary differences, higher education, instructor-student relationships, media representations, O, popular film, public pedagogy},
pubstate = {published},
tppubtype = {article}
}

@article{McGrath2017,
title = {Using Virtual Reality Simulation Environments to Assess Competence for Emergency Medicine Learners},
author = {Jillian L. McGrath and Jeffrey M. Taekman and Parvati Dev and Douglas R. Danforth and Deepika Mohan and Nicholas Kman and Amanda Crichlow and William F. Bond and Rosemarie Fernandez and Shiela Riker and A. J. Lemheney and Thomas B. Talbot and Douglas Franzen and C. Eric McCoy and Anne Chipman and Kendra Parekh and Linda Papa and Phillip Harter and Jennifer Frey and Sara Hock and Kathleen Kerrigan and Kesh Kesawadan and Timothy Koboldt and Miriam Kulkornia and Prashant Mahajan and Martin Pusic and Dan Robinson and David Ruby and Naveen Kumar and Sankaran Jeffrey Siegelman and Ernest Wang and Kimberly Won},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/acem.13308},
doi = {doi.org/10.1111/acem.13308 },
issn = {1553-2712},
year = {2017},
date = {2017-09-09},
journal = {Academic Emergency Medicine},
volume = {25},
number = {2},
pages = {186--195},
abstract = {Immersive learning environments that use virtual simulation (VS) technology are increasingly relevant as medical learners train in an environment of restricted clinical training hours and a heightened focus on patient safety. We conducted a consensus process with a breakout group of the 2017 Academic Emergency Medicine Consensus Conference “Catalyzing System Change Through Health Care Simulation: Systems, Competency, and Outcomes.” This group examined the current uses of VS in training and assessment, including limitations and challenges in implementing VS into medical education curricula. We discuss the role of virtual environments in formative and summative assessment. Finally, we offer recommended areas of focus for future research examining VS technology for assessment, including high‐stakes assessment in medical education. Specifically, we discuss needs for determination of areas of focus for VS training and assessment, development and exploration of virtual platforms, automated feedback within such platforms, and evaluation of effectiveness and validity of VS education.},
keywords = {Medizin, O, Simulation, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}