Second Language Research on Individual Differences

1992 ◽  
Vol 13 ◽  
pp. 188-205 ◽  
Author(s):  
Rebecca L. Oxford ◽  
Madeline Ehrman
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Learning Styles ◽  
Language Learning ◽  
Individual Difference ◽  
Tolerance Of Ambiguity ◽  
Individual Difference Variables ◽  
Language Research ◽  
Excellent Teachers ◽  
And Gender

To provide the most effective instruction possible, teachers of a second language (L2) should learn to identify and comprehend significant individual differences in their students. Many excellent teachers have learned to do some of this intuitively, but explicit understanding of individual-difference dimensions can enhance the work of all teachers. Among the most important such variations are differences associated with nine factors: aptitude, motivation, anxiety, selfesteem, tolerance of ambiguity, risk-taking, language learning styles, age, and gender. All of these variables and many more have been shown to be related to L2 learning in various ways. In fact, Gradman and Hanania (1991) identify 22 individual-difference variables that can affect success in learning a new language.

Individual differences predict ERP signatures of second language learning of novel grammatical rules

2017 ◽  
Author(s):  
Emily S Nichols ◽  
Marc F Joanisse
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Language Learning ◽  
First Language ◽  
Event Related Potentials ◽  
Grammatical Gender ◽  
Grammatical Rule ◽  
Related Potentials ◽  
And Gender ◽  
Anterior Negativity

We investigated the extent to which second-language (L2) learning is influenced by the similarity of grammatical features in one’s first language (L1). We used event-related potentials to identify neural signatures of a novel grammatical rule - grammatical gender - in L1 English speakers. Of interest was whether individual differences in L2 proficiency and age of acquisition (AoA) influenced these effects. L2 and native speakers of French read French sentences that were grammatically correct, or contained either a grammatical gender or word order violation. Proficiency and AoA predicted Left Anterior Negativity amplitude, with structure violations driving the proficiency effect and gender violations driving the AoA effect. Proficiency, group, and AoA predicted P600 amplitude for gender violations but not structure violations. Different effects of grammatical gender and structure violations indicate that L2 speakers engage novel grammatical processes differently from L1 speakers and that this varies appreciably based on both AoA and proficiency.

scholarly journals Who Are Our Students? A Synthesis of Foreign and Second Language Research on Individual Differences with Implications for Instructional Practice

1992 ◽  
Vol 9 (2) ◽  
pp. 30 ◽  
Author(s):  
Rebecca Oxford
Keyword(s):  
Individual Differences ◽  
Language Learning ◽  
Learning Strategies ◽  
Risk Taking ◽  
Instructional Practice ◽  
Self Esteem ◽  
Individual Characteristics ◽  
Language Learning Strategies ◽  
Tolerance Of Ambiguity ◽  
Language Research

Teachers of second or foreign languages, to be most effective, must understand who their students really are. This means teachers must comprehend differences among their students in many individual characteristics, such as age, sex, motivation, anxiety, self-esteem, tolerance of ambiguity, risk-taking, cooperation, competition, and language learning strategies and styles. This article synthesizes previous and current research on these individual differences among students and provides implications for instructional practice. Researchers, teachers, and administrators should heed the article's message: we need to have keys for knowing our students better, and here are some of the most significant keys available.

scholarly journals Individual Differences in Second Language Learning

2021 ◽  
Vol 8 (7) ◽  
pp. 608
Author(s):  
Hilola Sayfiddinovna Turakulova ◽  
Dilfuza Davronovna Marupova
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Learning Styles ◽  
Language Learning ◽  
Second Language Learning ◽  
Teaching And Learning ◽  
Language Teaching ◽  
To Receive ◽  
Language Teaching And Learning

This article is directed to identify learners needs and organize the further procedure of language teaching and learning. To this extend, teachers should identify the learner’s personality, character, and learning styles, they may comprehensively organize lesson procedures and use various methods in an appropriate manner and finally, they will be able to receive high outcomes in the field of language teaching.

Individual differences predict ERP signatures of second language learning of novel grammatical rules

2017 ◽  
Vol 22 (1) ◽  
pp. 78-92 ◽  
Author(s):  
EMILY S. NICHOLS ◽  
MARC F. JOANISSE
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Language Learning ◽  
First Language ◽  
Event Related Potentials ◽  
Grammatical Gender ◽  
Grammatical Rule ◽  
Related Potentials ◽  
And Gender ◽  
Anterior Negativity

We investigated the extent to which second-language (L2) learning is influenced by the similarity of grammatical features in one's first language (L1). We used event-related potentials to identify neural signatures of a novel grammatical rule – grammatical gender – in L1 English speakers. Of interest was whether individual differences in L2 proficiency and age of acquisition (AoA) influenced these effects. L2 and native speakers of French read French sentences that were grammatically correct, or contained either a grammatical gender or word order violation. Proficiency and AoA predicted Left Anterior Negativity amplitude, with structure violations driving the proficiency effect and gender violations driving the AoA effect. Proficiency, group, and AoA predicted P600 amplitude for gender violations but not structure violations. Different effects of grammatical gender and structure violations indicate that L2 speakers engage novel grammatical processes differently from L1 speakers and that this varies appreciably based on both AoA and proficiency.

scholarly journals Studying individual differences in the social environment to better understand language learning and processing

2016 ◽  
Vol 2 (s1) ◽  
Author(s):  
Shiri Lev-Ari
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Second Language Acquisition ◽  
Language Acquisition ◽  
Language Learning ◽  
Social Environment ◽  
Native Speakers ◽  
Linguistic Performance ◽  
The Social

AbstractPeople learn language from their social environment. Therefore, individual differences in the input that their social environment provides could influence their linguistic performance. Nevertheless, investigation of the role of individual differences in input on performance has been mostly restricted to first and second language acquisition. In this paper I argue that individual differences in input can influence linguistic performance even in adult native speakers. Specifically, differences in input can affect performance by influencing people’s knowledgebase, by modulating their processing manner, and by shaping expectations. Therefore, studying the role that individual differences in input play can improve our understanding of how language is learned, processed and represented.

scholarly journals Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

2020 ◽  
Vol 117 (32) ◽  
pp. 19061-19071 ◽  
Author(s):  
Samantha Joel ◽  
Paul W. Eastwick ◽  
Colleen J. Allison ◽  
Ximena B. Arriaga ◽  
Zachary G. Baker ◽  
...  
Keyword(s):  
Machine Learning ◽  
Individual Differences ◽  
Relationship Quality ◽  
Individual Difference ◽  
Large Scale ◽  
Well Being ◽  
Attachment Anxiety ◽  
Self Report ◽  
Individual Difference Variables ◽  
Partner Satisfaction

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.

scholarly journals Finding the key to successful L2 learning in groups and individuals

2017 ◽  
Vol 7 (1) ◽  
pp. 127-148 ◽  
Author(s):  
Wander Lowie ◽  
Marijn Van Dijk ◽  
Huiping Chan ◽  
Marjolijn Verspoor
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Language Development ◽  
Language Learning ◽  
Second Language Learning ◽  
Large Body ◽  
Individual Characteristics ◽  
Learner Characteristics ◽  
Complex Dynamic ◽  
Over Time

A large body studies into individual differences in second language learning has shown that success in second language learning is strongly affected by a set of relevant learner characteristics ranging from the age of onset to motivation, aptitude, and personality. Most studies have concentrated on a limited number of learner characteristics and have argued for the relative importance of some of these factors. Clearly, some learners are more successful than others, and it is tempting to try to find the factor or combination of factors that can crack the code to success. However, isolating one or several global individual characteristics can only give a partial explanation of success in second language learning. The limitation of this approach is that it only reflects on rather general personality characteristics of learners at one point in time, while both language development and the factors affecting it are instances of complex dynamic processes that develop over time. Factors that have been labelled as “individual differences” as well as the development of proficiency are characterized by nonlinear relationships in the time domain, due to which the rate of success cannot be simply deduced from a combination of factors. Moreover, in complex dynamic systems theory (CDST) literature it has been argued that a generalization about the interaction of variables across individuals is not warranted when we acknowledge that language development is essentially an individual process (Molenaar, 2015). In this paper, the viability of these generalizations is investigated by exploring the L2 development over time for two identical twins in Taiwan who can be expected to be highly similar in all respects, from their environment to their level of English proficiency, to their exposure to English, and to their individual differences. In spite of the striking similarities between these learners, the development of their L2 English over time was very different. Developmental patterns for spoken and written language even showed opposite tendencies. These observations underline the individual nature of the process of second language development.

scholarly journals INTERACTIONS AMONG LEARNING STYLES, LANGUAGE LEARNING STRATEGIES AND GENDER OF EFL LEARNERS

2020 ◽  
Vol 1 (01) ◽  
pp. 67-82
Author(s):  
Rizka Nurul Atika
Keyword(s):  
Learning Styles ◽  
Language Learning ◽  
Learning Strategies ◽  
Foreign Language Learning ◽  
Social Strategies ◽  
Language Learning Strategies ◽  
Visual Style ◽  
The Difference ◽  
Correlational Method ◽  
And Gender

Many studies have investigated isolated dimensions of learning styles (e.g. field independence/dependence) for their role in foreign language learning, but relatively few studies have used a comprehensive learning styles instrument to determine predictors of language learning strategies used by students. Hence, employing the descriptive and correlational method, this study aimed to identify students’ minor, major, and negligible learning styles, students’ usage of language learning strategies, the difference in the learning styles and language learning strategies based on gender, and the relationships among those three variables. A total of 30 students enrolling in the first year of senior high school were given two kinds of questionnaire, the Indonesian version of PLSQ and SILL. The result revealed gender differences only occurs in compensation strategy, in favor of female students. Furthermore, the correlational study revealed significant relationships between visual style and cognitive and metacognitive strategies; between auditory style and cognitive and compensation strategies. Moreover, social strategies are correlated with tactile, group, and individual styles. These findings are useful for both teacher and student to employ strategies suitable with their learning styles.

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