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A teacher changing her practice: a tentative explanation for the reasons behind it. (English)
Adams, G. (ed.), Proceedings of the British Society for Research into Learning Mathematics (BSRLM). Vol. 35, No. 3. Proceedings of the day conference, University of Reading, UK, November 7, 2015. London: British Society for Research into Learning Mathematics (BSRLM). 61-66 (2016).
Classification: D40 C70
1
Differential predictors of under-confidence and over-confidence for mathematics and science students in England. (English)
Learn. Individ. Differ. 49, 305-313 (2016).
Classification: C23
2
Confidence intervals instead of hypothesis tests. (English)
Math. Comput. Educ. 50, No. 2, 130-133 (2016).
Classification: K70
3
Impact of misclassification on estimation of a single proportion. (English)
Math. Comput. Educ. 50, No. 2, 109-113 (2016).
Classification: K70
4
Students’ difficulties in understanding of confidence intervals. (English)
Ben-Zvi, Dani (ed.) et al., The teaching and learning of statistics. International perspectives. Cham: Springer (ISBN 978-3-319-23469-4/hbk; 978-3-319-23470-0/ebook). 129-138 (2016).
Classification: D75 K75
5
Changing the precision of preschoolers’ approximate number system representations changes their symbolic math performance. (English)
J. Exp. Child Psychol. 147, 82-99 (2016).
Classification: F21 C31 F31
6
Mathematics confidence, interest, and performance: examining gender patterns and reciprocal relations. (English)
Learn. Individ. Differ. 47, 182-193 (2016).
Classification: C62 C63 C22 C23 C32 C33
7
Careful with the empirical rule. (Vorsicht bei der Sigma-Regel.) (German)
PM Prax. Math. Sch. 58, No. 67, 44-47 (2016).
Classification: K60 K70
8
Confidence and competence with mathematical procedures. (English)
Educ. Stud. Math. 91, No. 2, 271-288 (2016).
Classification: C20 C30 D60 F40
9
Oops, scratch that! Monitoring one’s own errors during mental calculation. (English)
Cognition 146, 110-120 (2016).
Classification: D70 F30
10
Addressing negative math attitudes with service-learning. (English)
PRIMUS, Probl. Resour. Issues Math. Undergrad. Stud. 26, No. 8, 788-802 (2016).
Classification: C25 D45 K45
11
Identifying statistical concepts associated with high and low levels of self-efficacy to teach statistics in middle grades. (English)
J. Stat. Educ. 23, No. 1, 20 p., electronic only (2015).
Classification: K19 C29
12
TIMSS data in an African comparative perspective: investigating the factors influencing achievement in mathematics and their psychometric properties. (English)
Large-Scale Assess. Educ. 3, No. 1, Paper No. 4, 36 p., electronic only (2015).
Classification: C30 C60 C70 C20
13
An investigation of the knowledge competency of prospective mathematics teachers in the perspective of relationship between their subject matter knowledge and non-cognitive factors. (English)
Far East J. Math. Educ. 15, No. 1, 63-94 (2015).
Classification: C39 C49 C29
14
Research on jelly bears. (Gummibärenforschung.) (German)
PM Prax. Math. Sch. 57, No. 66, 31-33 (2015).
Classification: K60 K70 D80
15
A spreadsheet simulation to teach concepts of sampling distributions and the central limit theorem. (English)
Spreadsheets Educ. 8, No. 3, 15 p., electronic only (2015).
Classification: K60 K70 K90 U70
16
Evidence for children’s error sensitivity during arithmetic word problem solving. (English)
Learn. Instr. 40, 1-8 (2015).
Classification: F92 F93 D72 D73
17
Probability. An introduction with statistical applications. 2nd ed. (English)
Hoboken, NJ: John Wiley \& Sons (ISBN 978-1-118-94708-1/hbk; 978-1-118-94709-8/ebook). xv, 464~p. (2015).
Classification: K55 K65 K45 K75 K85 K95 Reviewer: Nelson I. Tanaka (São Paulo)
18
Inferential statistics by simulation: bootstrap confidence intervals in the upper secondary school level using Excel. (lnferenzstatistik per Simulation: Bootstrap-Konfidenzintervalle in der Sekundarstufe II mit Excel.) (German)
Stoch. Sch. 35, No. 2, 14-20 (2015).
Classification: K74 K94
19
“Setting a good example" ‒ on the principle of example-based approach to the central theme of data and chance. (“Mit gutem Beispiel vorangehen" ‒ zum Prinzip des beispielgebundenen Zugangs zur Leitidee Daten und Zufall.) (German)
Stoch. Sch. 35, No. 2, 6-14 (2015).
Classification: K70 K90
20
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