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Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
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Modeling contextual information in neural machine translation
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Distributed representations for multilingual language processing
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| 9 |
Towards a Corpus of Historical German Plays with Emotion Annotations ...
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| 10 |
Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum ...
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| 11 |
Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own ...
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| 12 |
Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language ...
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| 13 |
Korpuslinguistik in der Rechtswissenschaft. Eine webbasierte Analyseplattform für EuGH-Entscheidungen ...
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| 14 |
Exploring Multimodal Sentiment Analysis in Plays: A Case Study for a Theater Recording of Emilia Galotti ...
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| 15 |
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques ...
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| 16 |
Pragmatic Prediction in the Processing of Referring Expressions Containing Scalar Quantifiers ...
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| 18 |
Neural Network Learning for Robust Speech Recognition
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Qu, Leyuan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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Student Performance and Collaboration in Introductory Courses to Theory of Computation ; Studierendenperformance und Kollaboration in Einführungskursen der Theoretischen Informatik
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Frede, Christiane. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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Abstract:
In tertiary computer science education, computer science undergraduate programs usually include one or two compulsory courses in theory of computation. Although computer science curriculum recommendations indicate that theory of computation courses are a highly relevant part of computer science undergraduate programs, the courses suffer from high failure rates, and only a minority of students perform well. Several pedagogical approaches have been introduced in the last decade to address the problem and improve the situation in theory of computation courses. These approaches offer elaborated pedagogical solutions for engaging computer science students for theory of computation and lowering attrition and failure rates. Most of the existing approaches were developed with the assumption that students’ difficulties with theory of computation are mainly caused by a lack of interest, motivation, or ability to understand the relevant concepts and theorems due to the abstract and formal nature of computation. Thereby, the assumptions are often based on occasional oral feedback or surveys with given answers which were conducted after the courses. This leads to the fact that none of the assumed student difficulties have been empirically validated in ways that would inform pedagogical considerations by detailed insights about the nature of students’ actual difficulties. In the present work, I have undertaken a detailed investigation of the difficulties of students with theory of computation. Thereby, I provide more sustained information than the general assumptions on which current pedagogy has been based. In more detail, I conducted two studies: (1) a quantitative study within an introductory course about Formal Languages and Automata to investigate the student performance in all assignments and topics covered, and (2) a qualitative study to explore students’ difficulties in assignments selected based on the results of the quantitative study. Using an exploratory data analysis approach and a one-way analysis of variance, I analyzed the final exam and homework performance of about 1500 students over three consecutive years. The results show that all students perform low on almost all proof assignments, regardless of their final exam grades. While students performed worst in the final exam on an assignment that required a formal proof using the pumping lemma, performance on a similar homework assignment was not as low. Furthermore, I detected how one assignment of the first year of analysis had a significantly lower performance in the following years after a sub-task was added that required proof development. The results underline that students have most difficulties with formal proof assignments and add that this can affect students regardless of their final exam grade. Based on the performance discrepancy between pumping lemma final exams and homework assignments, I conducted a qualitative study. Using a videography and a video interaction analysis, I observed three student groups working on two pumping lemma homework assignments. Thereby, I came to the following conclusions: Students have the same difficulties on the pumping lemma assignments in final exams and homework. However, when it comes to homework, students usually solve the problems while working together, so performance on homework solutions tends to be higher than on individual final exams. Nevertheless, through an analysis of student interactions, I found that there is a particular distribution of roles in the groups. Generally, one student acts as an explaining teacher, one as a questioning student, while all other students hardly participate in the group work, regardless of the group size. One possible explanation for this type of distribution lies in how students externalize and internalize their knowledge. They focus heavily on the tutor session and their tutor’s explanations and use the sample solutions they receive online for various assignments as patterns for their own solutions. The overall study gives the impression that students in group work are trying to achieve a result that will earn them as many points as possible with the tutor, rather than really internalizing and learning the topics. Through an extensive quantitative study and a detailed qualitative study, the present work offers new insights and explanations for the low performance and high failure rates in theory of computation courses. The findings offer starting points for changing the pedagogical design to improve the poor situation in theory of computation courses. In addition to teaching proof skills, special attention needs to be paid to collaborative teaching-learning situations.
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Keyword:
004: Informatik; 54.10: Theoretische Informatik; Computer science education; ddc:004:; Empirische Forschung; Explorative Data Analysis; Hochschuldidaktik; Informatik; Performance Analysis; Theoretische Informatik; Theory of computation; Video; Videography
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URL: http://nbn-resolving.de/urn:nbn:de:gbv:18-ediss-98947
https://ediss.sub.uni-hamburg.de/handle/ediss/9483
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Classifying user information needs in cooking dialogues – an empirical performance evaluation of transformer networks
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