Can Explicit Instruction Boost Statistical Learning? A Meta-Analytical Review
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作者:
Ren, Jinglei
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Univ Maryland, Dept Human Dev & Quantitat Methodol, 3942 Campus Dr, College Pk, MD 20742 USAUniv Maryland, Dept Human Dev & Quantitat Methodol, 3942 Campus Dr, College Pk, MD 20742 USA
Ren, Jinglei
[1
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Wang, Min
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Univ Maryland, Dept Human Dev & Quantitat Methodol, 3942 Campus Dr, College Pk, MD 20742 USAUniv Maryland, Dept Human Dev & Quantitat Methodol, 3942 Campus Dr, College Pk, MD 20742 USA
Wang, Min
[1
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Conway, Christopher M.
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Grinnell Coll, Dept Psychol, Grinnell, IA USAUniv Maryland, Dept Human Dev & Quantitat Methodol, 3942 Campus Dr, College Pk, MD 20742 USA
Conway, Christopher M.
[2
]
机构:
[1] Univ Maryland, Dept Human Dev & Quantitat Methodol, 3942 Campus Dr, College Pk, MD 20742 USA
This meta-analysis investigated whether and to what extent explicit instruction improves statistical learning (SL). While some previous studies individually demonstrated significant effects of explicit instruction on SL, there is a lack of a systematic and quantitative synthesis of this line of work so as to provide specific and detailed guidance for future research. To bridge this gap, a comprehensive meta-analysis was carried out, providing a first careful examination of the effect of explicit instruction on SL. Our analysis revealed a significant improvement in SL performance (g = .49) as a result of explicit instruction. Furthermore, we studied various factors that potentially influence the magnitude of the effect size of explicit instruction on SL. Specifically, we showed that explicit instruction in audiovisual compared to single-modality SL produced a more substantial enhancement in SL performance. In addition, the effect of explicit instruction was more pronounced in the linguistic domain compared to the nonlinguistic domain. These findings not only confirm the positive influence of explicit instruction on SL but also shed light on the specific conditions under which explicit instruction is more beneficial. Our findings have important implications for future educational research on developing effective instructional practices that potentially support SL in classrooms.
机构:
Hohai Univ, Sch Publ Adm, Nanjing, Peoples R China
Hohai Univ, Sch Publ Adm, China 8 Focheng West Rd, Nanjing, Jiangsu, Peoples R ChinaHohai Univ, Sch Publ Adm, Nanjing, Peoples R China
Wei, Xing
Shen, Wangbing
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机构:
Hohai Univ, Sch Publ Adm, Nanjing, Peoples R China
Yancheng Teachers Coll, Jiangsu Prov Key Construct Lab Big Data Psychol &, Yancheng, Peoples R ChinaHohai Univ, Sch Publ Adm, Nanjing, Peoples R China
Shen, Wangbing
Long, Haiying
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机构:
Univ Kansas, Sch Educ & Human Sci, Lawrence, KS 66045 USA
Univ Kansas, Sch Educ & Human Sci, Dept Educ Psychol, Joseph R Pearson Hall,1122 West Campus Rd, Lawrence, KS 66045 USAHohai Univ, Sch Publ Adm, Nanjing, Peoples R China
Long, Haiying
Lu, Fang
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机构:
Yancheng Teachers Coll, Jiangsu Prov Key Construct Lab Big Data Psychol &, Yancheng, Peoples R ChinaHohai Univ, Sch Publ Adm, Nanjing, Peoples R China
机构:
Univ Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, SpainUniv Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, Spain
Salvador, Benjamin
Arce, Ramon
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机构:
Univ Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, SpainUniv Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, Spain
Arce, Ramon
Rodriguez-Diaz, Francisco J.
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机构:
Univ Oviedo, Dept Psicol, Oviedo, SpainUniv Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, Spain
Rodriguez-Diaz, Francisco J.
Seijo, Dolores
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机构:
Univ Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, SpainUniv Santiago de Compostela, Dept Psicol Org Jurid Forense & Metodol Ciencias, Santiago De Compostela, Spain
Seijo, Dolores
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