Gender Differences in the Use and Benefit of Advanced Learning Technologies for Mathematics

被引:46
作者
Arroyo, Ivon [1 ]
Burleson, Winslow [2 ]
Tai, Minghui [3 ]
Muldner, Kasia [2 ]
Woolf, Beverly Park [1 ]
机构
[1] Univ Massachusetts, Dept Comp Sci, Amherst, MA 01003 USA
[2] Arizona State Univ, Dept Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA
[3] Univ Massachusetts, Dept Teacher Educ & Curriculum Studies, Amherst, MA 01003 USA
基金
美国国家科学基金会;
关键词
adaptive learning environments; gender differences; affective agents; motivation and affect; quantitative analysis; HELP-SEEKING; SELF; EMOTIONS; TEACHERS; PATTERNS; ABILITY; GIRLS; AGE;
D O I
10.1037/a0032748
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
We provide evidence of persistent gender effects for students using advanced adaptive technology while learning mathematics. This technology improves each gender's learning and affective predispositions toward mathematics, but specific features in the software help either female or male students. Gender differences were seen in the students' style of use of the system, motivational goals, affective needs, and cognitive/affective benefits, as well as the impact of affective interventions involving pedagogical agents. We describe 4 studies, with hundreds of students in public schools over several years, which suggest that technology responses should probably be customized to each gender. This article shows differential results before, during, and after the use of adaptive tutoring software, indicating that digital tutoring systems can be an important supplement to mathematics classrooms but that male and female students should be addressed differently. Female students were more receptive than male students to seeking and accepting help provided by the tutoring system and to spending time seeing the hints; thus, they had a consistent general trend to benefit more from it, especially when affective learning companions were present. In addition, female students expressed positively valenced emotions most often and exhibited more productive behaviors when exposed to female characters; these affective pedagogical agents encouraged effort and perseverance. This was not the case for male students, who had more positive outcomes when no learning companion was present and their worst affective and cognitive outcomes when the female character was present.
引用
收藏
页码:957 / 969
页数:13
相关论文
共 76 条
[1]   Help seeking and help design in interactive learning environments [J].
Aleven, V ;
Stahl, E ;
Schworm, S ;
Fischer, F ;
Wallace, R .
REVIEW OF EDUCATIONAL RESEARCH, 2003, 73 (03) :277-320
[2]  
Aleven V., 2006, I. J. Artif. Intell. Educ, V16, P101
[3]  
Aleven V., 2004, PROC 7 INT C INTELLI, P227, DOI DOI 10.1007/978-3-540-30139-4_22
[4]  
[Anonymous], 2018, Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser, DOI DOI 10.4324/9781315044408-14
[5]  
Arroyo I., 2004, P 7 INT C INTELLIGEN, P142
[6]  
Arroyo I., 2011, International Journal of Artificial Intelligence in Education, V21, P135, DOI [10.3233/JAI-2011-020, DOI 10.3233/JAI-2011-020]
[7]  
Arroyo I., 2010, Handbook of Educational Data Mining, P323, DOI DOI 10.1201/B10274-26
[8]  
Arroyo I, 2005, FRONT ARTIF INTEL AP, V125, P33
[9]   Affective Gendered Learning Companions [J].
Arroyo, Ivon ;
Woolf, Beverly Park ;
Royer, James M. ;
Tai, Minghui .
ARTIFICIAL INTELLIGENCE IN EDUCATION: BUILDING LEARNING SYSTEMS THAT CARE: FROM KNOWLEDGE REPRESENTATION TO AFFECTIVE MODELLING, 2009, 200 :41-+
[10]   Emotion Sensors Go To School [J].
Arroyo, Ivon ;
Cooper, David G. ;
Burleson, Winslow ;
Woolf, Beverly Park ;
Muldner, Kasia ;
Christopherson, Robert .
ARTIFICIAL INTELLIGENCE IN EDUCATION: BUILDING LEARNING SYSTEMS THAT CARE: FROM KNOWLEDGE REPRESENTATION TO AFFECTIVE MODELLING, 2009, 200 :17-+