2019
DOI: 10.1007/978-3-030-16892-6_14
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Methodological Issues in the Investigation of Values in Mathematics

Abstract: In this chapter, we first provide an overview on our previous investigations, then the methodologies employed are evaluated. A variety of research methodologies such as questionnaires, open-ended questions, interviews, classroom observation, episode writing, and mind maps have been employed at different stages of our intellectual journey. These methods are effective tools and helped us understand students' and teachers' beliefs and values about mathematics, mathematics learning and teaching. However, one's val… Show more

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Cited by 4 publications
(5 citation statements)
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“…This research, part of the wider WIFI study, investigates what students find important in their respective mathematics learning experiences. Even though there are research limitations (e.g., assessing only espoused values rather than enacted values) of identifying students’ values through the survey methods such as the questionnaire (Chan & Wong, 2019; Seah et al, 2017), the intention of the Korean participation has been to shed light on the paradox of how Korean students perform excellently in international mathematics assessment exercises such as PISA, when they are known to be experiencing negative affect with regard to mathematics learning.…”
Section: Discussionmentioning
confidence: 99%
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“…This research, part of the wider WIFI study, investigates what students find important in their respective mathematics learning experiences. Even though there are research limitations (e.g., assessing only espoused values rather than enacted values) of identifying students’ values through the survey methods such as the questionnaire (Chan & Wong, 2019; Seah et al, 2017), the intention of the Korean participation has been to shed light on the paradox of how Korean students perform excellently in international mathematics assessment exercises such as PISA, when they are known to be experiencing negative affect with regard to mathematics learning.…”
Section: Discussionmentioning
confidence: 99%
“…Since the multivariate effect for student confidence is significant (p < .05), we have to interpret the univariate between-subjects effects by adjusting for family-wise or experiment-wise error using a Bonferroni-type adjustment, and we derive the adjusted a level .01 (i.e., .05/5). Using this a level, we have significant univariate main effects for the following two variables: the survey methods such as the questionnaire (Chan & Wong, 2019;Seah et al, 2017), the intention of the Korean participation has been to shed light on the paradox of how Korean students perform excellently in international mathematics assessment exercises such as PISA, when they are known to be experiencing negative affect with regard to mathematics learning.…”
Section: Multivariate Analysis Of Variancementioning
confidence: 99%
“…In this part, we will discuss the three points to shed light on the findings and future research regarding the topics. In the discussion, we try attaching relevant theories or prior works such as Bloom taxonomy (Krathwohl, Bloom, & Masia, 1964) which regard the notion of characterization, character education (e.g., Card, 2017;NASEM, 2017;Nucci, 2017;Lickona, 1999), values education (Halstead & Taylor, 2000a;2000b), values in mathematics teaching (Bishop et al, 2003;Chan & Wong, 2019), and affects in mathematics education (McLeod, 1992;Hannula, 2011).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…We mean the measurement aspect as the methods used to measure the values which are taught by the teachers and inculcated in students. Methodological issues were addressed only concerning the investigation of values in research (Clarkson et al, 2000;Chin, Leu, & Lin, 2001;Chan & Wong, 2019). For example, Clarkson et al (2000) utilized classroom observation and interview to reveal what values the mathematics teachers nominated and taught in the classroom.…”
Section: Measuring Character/valuesmentioning
confidence: 99%
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