Examining the role of self-efficacy and online metacognitive monitoring behaviors in undergraduate life science education

被引:11
作者
Huang, Xing [1 ]
Bernacki, Matthew L. [2 ]
Kim, Dongho [3 ]
Hong, Wonjoon [4 ]
机构
[1] Univ Florida, 2423 Norman Hall Room 2-054,POB 117041, Gainesville, FL 32611 USA
[2] Univ N Carolina, CB 3500 Peabody Hall Room 113, Chapel Hill, NC 27599 USA
[3] Sungkyunkwan Univ, 25-2 Sungkyunkwan Ro, Seoul 51206, South Korea
[4] Univ Nevada, Carlson Educ Bldg 399F,4505 S Maryland Pkwy, Las Vegas, NV 89154 USA
基金
美国国家科学基金会;
关键词
Metacognitive monitoring; Self-efficacy; Self-regulated learning; Latent profile analysis; Moderation analysis; STUDENT PERFORMANCE; ORIENTED APPROACH; PHYSIOLOGY COURSE; ACHIEVEMENT; ANATOMY; MOTIVATION; METAANALYSIS; TECHNOLOGY; HYPERMEDIA; KNOWLEDGE;
D O I
10.1016/j.learninstruc.2021.101577
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In STEM education, a thorough understanding of the interaction of self-efficacy and metacognitive monitoring behaviors is needed to refine theories and inform the design of instructional supports for students with varying levels of motivation and self-regulation skills. We examined how students' (n = 1063) exam scores in an un-dergraduate life science course were influenced by their self-efficacy and online metacognitive monitoring be-haviors by integrating variable-centered and person-centered approaches. In a semester-long study, students' self-efficacy judgements made at the end of the semester were stronger predictors of students' final exam per-formance than those made at the beginning of the semester. Results further suggested that the influence of self-efficacy on exam scores decreased as online monitoring behaviors increased. Students' prior GPA predicted membership in three latent profiles indicated by 1) high self-efficacy with high metacognitive monitoring ac-tivity; 2) high self-efficacy with low metacognitive monitoring activity; and 3) low self-efficacy with low met-acognitive monitoring activity. Learners with high self-efficacy and high monitoring activity outperformed those with high self-efficacy and low monitoring, who outperformed those with low self-efficacy and low monitoring on exams.
引用
收藏
页数:14
相关论文
共 86 条
[1]  
[Anonymous], 2019, SPLUNK COMPUTER SOFT
[2]  
[Anonymous], 2008, Motivation and SelfRegulated Learning: Theory, Research, and Applications, DOI DOI 10.4324/9780203831076
[3]  
[Anonymous], 2012, J SCHOLARSHIP TEACHI
[4]  
Asparouhov T., 2010, WALD TEST MEAN EQUAL
[5]   Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus [J].
Asparouhov, Tihomir ;
Muthen, Bengt .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2014, 21 (03) :329-341
[6]  
Bandura A., 1997, Self-efficacy: The exercise of control
[7]   Toward a Psychology of Human Agency [J].
Bandura, Albert .
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2006, 1 (02) :164-180
[8]   Addressing complexities in self-regulated learning: a focus on contextual factors, contingencies, and dynamic relations [J].
Ben-Eliyahu, Adar ;
Bernacki, Matthew L. .
METACOGNITION AND LEARNING, 2015, 10 (01) :1-13
[9]  
Bergman L.R., 2015, Sweden, Journal for Per-son-Oriented Research, V1, P1, DOI [10.17505/jpor.2015.01, DOI 10.17505/JPOR.2015.01]
[10]   The person-oriented versus the variable-oriented approach: Are they complementary, opposites, or exploring different worlds? [J].
Bergman, Lars R. ;
Trost, Kari .
MERRILL-PALMER QUARTERLY-JOURNAL OF DEVELOPMENTAL PSYCHOLOGY, 2006, 52 (03) :601-632