Turkish ASSIST: measuring university students’ approaches to learning statistics

Ayse Aysin Bilgin; Sitki Gozlu

Turkish ASSIST: measuring university students’ approaches to learning statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Evidence-based decision making has become one of the most valuable tools for any profession with the ease of accessing vast amounts of data due to developments in computing and data storage facilities. This is especially important for future generations in management positions. Undoubtedly statistics play an important role in enabling managers to base their decisions on valid available evidence, but if students do not acquire the skills to understand and evaluate them during courses in statistics, their ability to utilise this evidence may be limited. In this study we investigated the learning approaches of students in statistics who are studying towards a management science or management engineering degree in six Turkish universities using Turkish Approaches and Study Skills Inventory for Students (TASSIST) which is translated from English to Turkish. This paper presents an exploratory factor analysis for the validation of Turkish ASSIST.

Original language	English
Title of host publication	Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014)
Editors	Katie Makar, Bruno de Sousa, Rod Gould
Place of Publication	Voorburg, The Netherlands
Publisher	International Statistical Institute
Pages	1-6
Number of pages	6
Publication status	Published - 2014
Event	International Conference on Teaching Statistics (9th : 2014) - Arizona, USA Duration: 13 Jul 2014 → 18 Jul 2014

Conference

Conference	International Conference on Teaching Statistics (9th : 2014)
City	Arizona, USA
Period	13/07/14 → 18/07/14

Access to Document

http://iase-web.org

1 Conference proceeding contribution

Similarities and differences of learning approaches of student in statistics and mathematics: a case study from Turkey
Mizrahi, E., Bilgin, A. A., Hacinliyan, I., Intepe, G. & Gozlu, S., 2018, Looking back, looking forward: proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018), Kyoto, Japan. Sorto, M. A., White, A. & Guyot, L. (eds.). Voorburg: International Statistical Institute, p. 1-4 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Cite this

Bilgin, Ayse Aysin ; Gozlu, Sitki. / Turkish ASSIST : measuring university students’ approaches to learning statistics. Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014). editor / Katie Makar ; Bruno de Sousa ; Rod Gould. Voorburg, The Netherlands : International Statistical Institute, 2014. pp. 1-6

@inproceedings{4cadfb96c1dc40bb82a95f63120d5586,

title = "Turkish ASSIST: measuring university students{\textquoteright} approaches to learning statistics",

abstract = "Evidence-based decision making has become one of the most valuable tools for any profession with the ease of accessing vast amounts of data due to developments in computing and data storage facilities. This is especially important for future generations in management positions. Undoubtedly statistics play an important role in enabling managers to base their decisions on valid available evidence, but if students do not acquire the skills to understand and evaluate them during courses in statistics, their ability to utilise this evidence may be limited. In this study we investigated the learning approaches of students in statistics who are studying towards a management science or management engineering degree in six Turkish universities using Turkish Approaches and Study Skills Inventory for Students (TASSIST) which is translated from English to Turkish. This paper presents an exploratory factor analysis for the validation of Turkish ASSIST.",

author = "Bilgin, {Ayse Aysin} and Sitki Gozlu",

year = "2014",

language = "English",

pages = "1--6",

editor = "Katie Makar and {de Sousa}, Bruno and Rod Gould",

booktitle = "Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014)",

publisher = "International Statistical Institute",

address = "Netherlands",

note = "International Conference on Teaching Statistics (9th : 2014) ; Conference date: 13-07-2014 Through 18-07-2014",

}

Bilgin, AA & Gozlu, S 2014, Turkish ASSIST: measuring university students’ approaches to learning statistics. in K Makar, B de Sousa & R Gould (eds), Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014). International Statistical Institute, Voorburg, The Netherlands, pp. 1-6, International Conference on Teaching Statistics (9th : 2014), Arizona, USA, 13/07/14. <http://iase-web.org>

Turkish ASSIST: measuring university students’ approaches to learning statistics. / Bilgin, Ayse Aysin; Gozlu, Sitki.
Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014). ed. / Katie Makar; Bruno de Sousa; Rod Gould. Voorburg, The Netherlands: International Statistical Institute, 2014. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Turkish ASSIST

T2 - International Conference on Teaching Statistics (9th : 2014)

AU - Bilgin, Ayse Aysin

AU - Gozlu, Sitki

PY - 2014

Y1 - 2014

N2 - Evidence-based decision making has become one of the most valuable tools for any profession with the ease of accessing vast amounts of data due to developments in computing and data storage facilities. This is especially important for future generations in management positions. Undoubtedly statistics play an important role in enabling managers to base their decisions on valid available evidence, but if students do not acquire the skills to understand and evaluate them during courses in statistics, their ability to utilise this evidence may be limited. In this study we investigated the learning approaches of students in statistics who are studying towards a management science or management engineering degree in six Turkish universities using Turkish Approaches and Study Skills Inventory for Students (TASSIST) which is translated from English to Turkish. This paper presents an exploratory factor analysis for the validation of Turkish ASSIST.

AB - Evidence-based decision making has become one of the most valuable tools for any profession with the ease of accessing vast amounts of data due to developments in computing and data storage facilities. This is especially important for future generations in management positions. Undoubtedly statistics play an important role in enabling managers to base their decisions on valid available evidence, but if students do not acquire the skills to understand and evaluate them during courses in statistics, their ability to utilise this evidence may be limited. In this study we investigated the learning approaches of students in statistics who are studying towards a management science or management engineering degree in six Turkish universities using Turkish Approaches and Study Skills Inventory for Students (TASSIST) which is translated from English to Turkish. This paper presents an exploratory factor analysis for the validation of Turkish ASSIST.

M3 - Conference proceeding contribution

SP - 1

EP - 6

BT - Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014)

A2 - Makar, Katie

A2 - de Sousa, Bruno

A2 - Gould, Rod

PB - International Statistical Institute

CY - Voorburg, The Netherlands

Y2 - 13 July 2014 through 18 July 2014

ER -

Turkish ASSIST: measuring university students’ approaches to learning statistics

Abstract

Conference

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Research output

Similarities and differences of learning approaches of student in statistics and mathematics: a case study from Turkey

Cite this