Intelligent guesses and numerical experiments as legitimate tools for secondary school algebra

Khait, Alexander

doi:10.1093/teamat/23.1.33

Cited by 2 publications

(2 citation statements)

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“…It is our opinion that it is not enough for a teacher to have a sound understanding of theoretical statistics without experience from actual empirical research. The preference for more practical and simple procedures over mathematical elegance is also echoed by Wood [74,75] and Khait [76], among others.…”

Section: Teacher Qualificationsmentioning

confidence: 97%

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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Section: Teacher Qualificationsmentioning

confidence: 97%

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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“…Further, statistics is often taught from a theoretical perspective, which might not be easily accessible. We thus take the view of Wood [17], Khait [18], and others who argue for making mathematics and statistics less theoretical and more explorative and practical. Many students and researchers delay the problem of statistical analysis until after the experiment has been carried out.…”

Section: Introductionmentioning

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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Intelligent guesses and numerical experiments as legitimate tools for secondary school algebra

Cited by 2 publications

References 0 publications

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

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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