scholarly journals The Effect of English Vocabulary Learning with Digital Games and its Influencing Factors based on the Meta- Analysis of 2,160 Test Samples

2020 ◽  
Vol 15 (17) ◽  
pp. 85
Author(s):  
Qing Wu ◽  
Jingwei Zhang ◽  
Chuanyi Wang
Keyword(s):  
Teaching Method ◽  
Native Language ◽  
Educational Games ◽  
Vocabulary Learning ◽  
Meta Analysis ◽  
Digital Games ◽  
Effect Sizes ◽  
Asian Students ◽  
Language Background ◽  
Game Platform

This study was conducted to test the effects of digital games on Asian students’ English vocabulary learning. Data used in this study were collected from Web of Science (WoS) and Education Resources Information Center (ERIC) from 2008 to 2018. A meta-analysis was performed to minimize heterogeneity between studies. The data were analyzed and visualized according to effect sizes. The results of this study showed that digital games played a significant role in promoting Asian students’ English vocabulary learning. This study also examined five factors that influenced students’ English vocabulary learning, including learning stage, game-aided teaching method, native language background, game platform, and game scenario. Effects of these factors were compared by referring to the standards for effect sizes. The result indicated that native language background had the most prominent impact, while negative transfer of native language hindered the vocabulary learning of Asian students. The effects of game platform, game-aided teaching method, and game scenario were not significant. The implication of this study is that creating context-based, high-quality educational games is a promising approach to promote Asian students’ English language learning.

HOW DO DIFFERENT FORMS OF GLOSSING CONTRIBUTE TO L2 VOCABULARY LEARNING FROM READING?

2020 ◽  
Vol 42 (2) ◽  
pp. 411-438 ◽  
Author(s):  
Akifumi Yanagisawa ◽  
Stuart Webb ◽  
Takumi Uchihara
Keyword(s):  
Vocabulary Learning ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Inclusion Criteria ◽  
Learner Characteristics ◽  
Moderator Variables ◽  
Auditory Learning ◽  
Significant Difference ◽  
L2 Vocabulary ◽  
Potential Moderator

AbstractThis meta-analysis investigated the overall effects of glossing on L2 vocabulary learning from reading and the influence of potential moderator variables: gloss format (type, language, mode) and text and learner characteristics. A total of 359 effect sizes from 42 studies (N = 3802) meeting the inclusion criteria were meta-analyzed. The results indicated that glossed reading led to significantly greater learning of words (45.3% and 33.4% on immediate and delayed posttests, respectively) than nonglossed reading (26.6% and 19.8%). Multiple-choice glosses were the most effective, and in-text glosses and glossaries were the least effective gloss types. L1 glosses yielded greater learning than L2 glosses. We found no interaction between language (L1, L2) and proficiency (beginner, intermediate, advanced), and no significant difference among modes of glossing (textual, pictorial, auditory). Learning gains were moderated by test formats (recall, recognition, other), comprehension of text, and proficiency.

The Effects of Corpus Use on Second Language Vocabulary Learning: A Multilevel Meta-analysis

2018 ◽  
Vol 40 (5) ◽  
pp. 721-753 ◽  
Author(s):  
Hansol Lee ◽  
Mark Warschauer ◽  
Jang Ho Lee
Keyword(s):  
Second Language ◽  
Vocabulary Learning ◽  
Meta Analysis ◽  
Vocabulary Knowledge ◽  
Effect Sizes ◽  
Short Term ◽  
Different Dimensions ◽  
L2 Vocabulary

Abstract This study investigates the effects of corpus use on second language (L2) vocabulary learning as well as the influence of moderators on effectiveness. Based on 29 studies representing 38 unique samples, all of which met several criteria for inclusion (e.g. with control groups), we found an overall positive medium-sized effect of corpus use on L2 vocabulary learning for both short-term (77 posttest effect sizes; Hedges’ g = 0.74, SE = 0.09, p < .001) and long-term periods (34 follow-up effect sizes; Hedges’ g = 0.64, SE = 0.17, p < .001). Furthermore, large variation in adjusted mean effect sizes across moderators was revealed. Above all, for the different dimensions of L2 vocabulary knowledge, in-depth knowledge (i.e. referential meanings as well as syntactic features of vocabulary) was associated with a large effect size. Moreover, the results revealed that learners’ L2 proficiency and several features of corpus use (i.e. interaction types, corpus types, training, and duration) influence the magnitude of the effectiveness of corpus use in improving L2 vocabulary learning.

scholarly journals The Effects of Educational Games on EFL Vocabulary Learning of Early Childhood Students with Learning Disabilities: A Systematic Review and Meta-analysis

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Amr Mahmoud Abdeldaim Mohamed ◽  
Tahany Sabry Kamal Shaaban
Keyword(s):  
Learning Disabilities ◽  
Early Childhood ◽  
Educational Games ◽  
Vocabulary Learning ◽  
Meta Analysis ◽  
Target Language ◽  
Students With Learning Disabilities ◽  
Advantages And Disadvantages ◽  
New Generation ◽  
Early Childhood Students

Educational games play an essential role in the life of the new generation. Although there are many criticisms, many studies focus on the importance of educational games in improving EFL vocabulary learning of early childhood students with learning disabilities in the target language. Researchers have begun to research how games are used in class to enhance vocabulary learning. This paper investigates the effects of educational games on EFL vocabulary learning of early childhood students with learning disabilities based on a literature review. Many studies focus on educational games' effect on various aspects of education. This concept paper aims to shed light on some of the benefits of games and the challenges teachers and early childhood children face in using educational games. This paper's results show that games are used not only for the success of early childhood students with learning disabilities in EFL classes but, more importantly, to motivate them and increase cooperation between children. Additionally, the results indicate that there are advantages and disadvantages of using games to learn English vocabulary.

Effectiveness of Mobile Devices on Vocabulary Learning: A Meta-Analysis

2017 ◽  
Vol 56 (1) ◽  
pp. 134-154 ◽  
Author(s):  
Hassan Saleh Mahdi
Keyword(s):  
Language Learning ◽  
Mobile Devices ◽  
Information And Communication Technologies ◽  
Vocabulary Learning ◽  
Meta Analysis ◽  
Communication Technologies ◽  
Effect Sizes ◽  
Medium Effect ◽  
Information And Communication ◽  
Moderate Effect

Mobile devices are considered as the most widely used information and communication technologies. They have provided great advantages in language learning. This study reports a meta-analysis of the effectiveness of using mobile devices on vocabulary learning. A meta-analysis was conducted on research that compared the outcomes from students learning vocabulary using mobile devices to those learning vocabulary using traditional ways of learning. The meta-analysis examined how effect sizes varied based on learners’ age, type of vocabulary learning (receptive or productive), and aspects of vocabulary used (form, meaning, and use). This meta-analysis examined the effect of using mobile devices on vocabulary learning by reviewing 16 studies involving 986 participants. The use of mobile devices in learning vocabulary was associated with greater achievement in comparison with traditional ways. The findings of the meta-analysis indicate a medium effect of using mobile devices on vocabulary learning ( g = .67). Major findings of the current meta-analysis include the following: (a) Mobile devices have moderate effect sizes on both ways of vocabulary learning (productive and receptive), (b) adult learners get benefit from using mobile devices in vocabulary learning better than young learners, and (c) mobile devices have moderate effect on all aspects of vocabulary learning.

The Orchard Plot: Cultivating a Forest Plot for Use in Ecology, Evolution and Beyond

2019 ◽  
Author(s):  
Shinichi Nakagawa ◽  
Malgorzata Lagisz ◽  
Rose E O'Dea ◽  
Joanna Rutkowska ◽  
Yefeng Yang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
R Package ◽  
Effect Sizes ◽  
Forest Plot ◽  
Point Estimates ◽  
Aggregate Effect ◽  
The Individual ◽  
Meta Analyses ◽  
Heterogeneous Effect ◽  
Intuitive Interpretation

‘Classic’ forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the classic forest plot. Instead, most used a ‘forest-like plot’, showing point estimates (with 95% confidence intervals; CIs) from a series of subgroups or categories in a meta-regression. We propose a modification of the forest-like plot, which we name the ‘orchard plot’. Orchard plots, in addition to showing overall mean effects and CIs from meta-analyses/regressions, also includes 95% prediction intervals (PIs), and the individual effect sizes scaled by their precision. The PI allows the user and reader to see the range in which an effect size from a future study may be expected to fall. The PI, therefore, provides an intuitive interpretation of any heterogeneity in the data. Supplementing the PI, the inclusion of underlying effect sizes also allows the user to see any influential or outlying effect sizes. We showcase the orchard plot with example datasets from ecology and evolution, using the R package, orchard, including several functions for visualizing meta-analytic data using forest-plot derivatives. We consider the orchard plot as a variant on the classic forest plot, cultivated to the needs of meta-analysts in ecology and evolution. Hopefully, the orchard plot will prove fruitful for visualizing large collections of heterogeneous effect sizes regardless of the field of study.

Identification of and Correction for Publication Bias: Comment

2019 ◽  
Author(s):  
Amanda Kvarven ◽  
Eirik Strømland ◽  
Magnus Johannesson
Keyword(s):  
Publication Bias ◽  
False Positive ◽  
Large Scale ◽  
Meta Analysis ◽  
False Positive Rate ◽  
Effect Sizes ◽  
Replication Studies ◽  
Moderate Reduction ◽  
Positive Rate ◽  
Meta Analyses

Andrews &amp; Kasy (2019) propose an approach for adjusting effect sizes in meta-analysis for publication bias. We use the Andrews-Kasy estimator to adjust the result of 15 meta-analyses and compare the adjusted results to 15 large-scale multiple labs replication studies estimating the same effects. The pre-registered replications provide precisely estimated effect sizes, which do not suffer from publication bias. The Andrews-Kasy approach leads to a moderate reduction of the inflated effect sizes in the meta-analyses. However, the approach still overestimates effect sizes by a factor of about two or more and has an estimated false positive rate of between 57% and 100%.

Effectiveness of psychological interventions to improve emotion regulation in youth - a meta-analysis

2019 ◽  
Author(s):  
Bettina Moltrecht ◽  
Jessica Deighton ◽  
Praveetha Patalay ◽  
Julian Childs
Keyword(s):  
Emotion Regulation ◽  
Emotion Dysregulation ◽  
Psychological Intervention ◽  
Meta Analysis ◽  
Age Groups ◽  
Effect Sizes ◽  
What Works ◽  
Large Heterogeneity ◽  
Larger Sample

Background: Research investigating the role of emotion regulation (ER) in the development and treatment of psychopathology has increased in recent years. Evidence suggests that an increased focus on ER in treatment can improve existing interventions. Most ER research has neglected young people, therefore the present meta-analysis summarizes the evidence for existing psychosocial intervention and their effectiveness to improve ER in youth. Methods: A systematic review and meta-analysis was conducted according to the PRISMA guidelines. Twenty-one randomized-control-trials (RCTs) assessed changes in ER following a psychological intervention in youth exhibiting various psychopathological symptoms.Results: We found moderate effect sizes for current interventions to decrease emotion dysregulation in youth (g=-.46) and small effect sizes to improve emotion regulation (g=0.36). Significant differences between studies including intervention components, ER measures and populations studied resulted in large heterogeneity. Conclusion: This is the first meta-analysis that summarizes the effectiveness for existing interventions to improve ER in youth. The results suggest that interventions can enhance ER in youth, and that these improvements correlate with improvements in psychopathology. More RCTs including larger sample sizes, different age groups and psychopathologies are needed to increase our understanding of what works for who and when.

A Meta-Analysis of the Facial Feedback Literature: Effects of Facial Feedback on Emotional Experience Are Small and Variable

2017 ◽  
Author(s):  
Nicholas Alvaro Coles ◽  
Jeff T. Larsen ◽  
Heather Lench
Keyword(s):  
Publication Bias ◽  
Emotional Experience ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Detection Methods ◽  
Feedback Effects ◽  
Facial Feedback ◽  
Facial Movements ◽  
Facial Feedback Hypothesis ◽  
Variance Estimates

The facial feedback hypothesis suggests that an individual’s experience of emotion is influenced by feedback from their facial movements. To evaluate the cumulative evidence for this hypothesis, we conducted a meta-analysis on 286 effect sizes derived from 138 studies that manipulated facial feedback and collected emotion self-reports. Using random effects meta-regression with robust variance estimates, we found that the overall effect of facial feedback was significant, but small. Results also indicated that feedback effects are stronger in some circumstances than others. We examined 12 potential moderators, and three were associated with differences in effect sizes. 1. Type of emotional outcome: Facial feedback influenced emotional experience (e.g., reported amusement) and, to a greater degree, affective judgments of a stimulus (e.g., the objective funniness of a cartoon). Three publication bias detection methods did not reveal evidence of publication bias in studies examining the effects of facial feedback on emotional experience, but all three methods revealed evidence of publication bias in studies examining affective judgments. 2. Presence of emotional stimuli: Facial feedback effects on emotional experience were larger in the absence of emotionally evocative stimuli (e.g., cartoons). 3. Type of stimuli: When participants were presented with emotionally evocative stimuli, facial feedback effects were larger in the presence of some types of stimuli (e.g., emotional sentences) than others (e.g., pictures). The available evidence supports the facial feedback hypothesis’ central claim that facial feedback influences emotional experience, although these effects tend to be small and heterogeneous.

Sign in / Sign up

Export Citation Format

Share Document