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- Data for: Female participation in MOOCs in the IT areaThis csv dataset has anonymous data from (mostly) brazilian students, collected (with permission) from Lúmina, from 4 MOOC. It has the following columns: [1] "url" "forum" "pesquisa" "questionario" [5] "pagina" "certificado" "total.acoes" "inicio" [9] "final" "pais.origem" "tempo.curso.minutos" "sexo" [13] "idade" "escolaridade" "gosta" "motivo" [17] "intencao" "curso" "concluidas" "razao" [21] "nota"
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- Data for: What to teach? Towards an integrated approach for developing digital competency in preservice teacher trainingThe dataset includes raw association rules analysis results for a dataset including 931 Belgian preservice teachers' experiences developing digital competencies.
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- Data for: Learning Analytics in European Higher Education-Trends and BarriersThis dataset contains responses to an institutional survey that investigated existing learning analytics initiatives, institutional infrastructures for learning analytics, adopted strategies and policies for learning analytics, considerations of legal and ethical issues, existing evaluation frameworks, and evaluations of the engagement of key stakeholders (i.e., teaching staff, students, and managers), success of learning analytics, institutional culture, data and research capabilities, legal and ethical awareness, and existing training.
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- Data for: Impact of different play modes when using multitouch tabletops on group communication and motivation of primary school childrenPaper: Impact of different interaction protocols on group communication and motivation of primary school children when using multitouch tabletops
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- Data for: The Co-Creative Approach to Digital Simulation in Social Science EducationThe dataset and R codes developed for the study of the Co-Creative Approach to Digital Simulation in Social Science Education The participants of this study comprised 253 first-year master’s students studying Public Sector Economics. First, all 253 students passed the pretest evaluation consisting of 30 multiple-choice questions. The purpose of the pretest was to assess students’ knowledge about public finance issues as a central part of the Public Sector Economics class. Before the final examination, students of the A and B groups were trained with the new version of the computer simulator that partly used students’ developments but was changed by the course instructors. At the end of the game, students got calculated percentages of correctly solved cases. At the end of the course, all 253 students passed the examination test consisting of 30 multiple-choice questions similar to the pretest questions. Results of the exam were the post-test step of the experiment. After that, students of all groups were asked to answer the feedback questionnaire concerning the evaluation of the course. All 253 students completed the survey questionnaires.
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- Data for: Adaptive learning path recommender approach using auxiliary learning objectsdata for the evaluation part of our paper
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- Data for: Facilitating student engagement through the flipped learning approach in K-12: A systematic reviewThis dataset contains a bibliography of the 107 included studies for the article “Facilitating student engagement through the flipped learning approach in K-12: A systematic review”. The corpus consists of articles retrieved from ERIC, Web of Science, Scopus, ProQuest, PsycINFO, Teacher Reference Center and Education Source, and published from 2012-2018 using an explicit and replicable search strategy, outlined in the article.
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- Data for: Investigating antecedents of plagiarism using extended theory of planned behaviorResearh Data
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- Data for: The Role of Gamified E-Quizzes on Student Learning and Engagement: An Interactive Gamification Solution for a Formative Assessment SystemDatasets of students' academic achievement and perceived engagement of post-questionnaire surveys
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- Data for: How does students' general academic achievement moderate the implications of social networking on specific levels of learning performance?The data relates to students’ use of social networking sites (SNSs), with particular focus on Facebook and the associated functions of Facebook. There is also data on students’ use of other SNSs (Linkedin, Snapchat and Twitter) for comparative purposes. This data can be associated with student performance, which is related to the learning levels in Bloom taxonomy. Control data on student characteristics that may also relate to learning performance is also included.
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