A Simple MVC-Framework for Local Management of Online Course Material

Sandnes, Frode Eika; Eika, Evelyn

doi:10.1007/978-3-319-59451-4_15

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…The authors justify the advantage of online learning as it saves time, facilitates administrative work, and is easy to use. Sandnes and Eika (2017) present Model-View-Controller, which allows managing a large number of students during online learning. This program includes the ability to solve problems effectively because it allows the creation of plans, lectures, class schedules, and student evaluations.…”

Section: Introductionmentioning

confidence: 99%

Rigid class scheduling and its value for online learning in higher education

et al. 2022

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The spread of coronavirus infection brings changes to all spheres of activity, including education, which is increasingly moving to a distance learning format. The ultimate goal of this study was to investigate the effectiveness of the recommendations for developing a rigid class scheduling method in the framework of online learning using advanced approaches updating traditional learning mechanisms. Overall, this research was conducted among 226 students and 54 teachers representing Moscow Aviation Institute and Kazan Federal University. Research methodology basis was represented by a sociological survey, which allowed identifying the problems of implementation of online learning from the students' standpoint. The collected outcomes showed that for 35% of students, one of the main problems in distance learning was the lack of self-discipline, which can be further adjusted by a clearly established schedule of classes (37% of respondents) and tests (29% of respondents). At the same time, the collected data showed that the learning process was most efficient in subgroups 1 (0.5), 2 (0.3), and 5 (0.45). Recommendations provided for further distance education improvement, first of all, related to schedule formation issues. More precisely, the paper emphasized the need for time constraints, even distribution of subjects, use of special applications, designation of dates for knowledge checking, and inclusion of additional learning materials. The findings and results of this work are believed to be of scientific value for the methodological departments of educational institutions responsible for curricula preparation as they are expected to significantly contribute to educational process advancement.

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Section: Introductionmentioning

confidence: 99%

Rigid class scheduling and its value for online learning in higher education

et al. 2022

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“…For several years we used Excel for the introduction to hypothesis testing as well as course management [82]. The advantages of Excel are that it is commonly available, although it is not open source.…”

Section: Statistics Softwarementioning

confidence: 99%

Hostage of the Software: Experiences in Teaching Inferential Statistics to Undergraduate Human-Computer Interaction Students and a Survey of the Literature

Sandnes

Eika

2018

Research on E-Learning and ICT in Education

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Students' knowledge of inferential statistics is lacking in many Computer Science study programs. Yet, the needs for inferential statistic skills have emerged with new fields of study such as human-computer interaction involving observation of human activity. This paper presents experiences teaching inferential statistics to undergraduate computer science students with a focus on the actual goals of the investigations and not the mechanisms and mathematics of statistics. The teaching framework involves teaching statistics as a set of systematic black-box tools.

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“…It is similar to the concepts of a regular spreadsheet such as Excel or the grid editor used in SPSS. The spreadsheet is a versatile and widely understood data entry tool [108]. However, the proposed observation editor distinguishes itself from the traditional spreadsheet in several ways.…”

Section: Observations Editormentioning

confidence: 99%

Towards a Framework for the Design of Quantitative Experiments: Human-Computer Interaction and Accessibility Research

Sandnes

Eika

Médola

2018

Universal Access in Human-Computer Interaction. Methods, Technologies, and Users

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Many students and researchers struggle with the design and analysis of empirical experiments. Such issue may be caused by lack of knowledge about inferential statistics and suitable software tools. Often, students and researchers conduct experiments without having a complete plan for the entire lifecycle of the process. Difficulties associated with the statistical analysis are often ignored. Consequently, one may end up with data that cannot be easily analyzed. This paper discusses the concept sketch of a framework that intends to help students and researchers to design correct empirical experiments by making sound design decisions early in the research process. The framework consists of an IDE, i.e., Integrated (statistical experiment) Development Environment. This IDE helps the user structures an experiment by giving continuous feedback drawing the experimenter's attention towards potential problems. The output of the IDE is an experimental structure and data format that can be imported to common statistical packages such as JASP in addition to providing guidance about what tests to use.

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A Simple MVC-Framework for Local Management of Online Course Material

Cited by 6 publications

References 10 publications

Rigid class scheduling and its value for online learning in higher education

Rigid class scheduling and its value for online learning in higher education

Hostage of the Software: Experiences in Teaching Inferential Statistics to Undergraduate Human-Computer Interaction Students and a Survey of the Literature

Towards a Framework for the Design of Quantitative Experiments: Human-Computer Interaction and Accessibility Research

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