初中生自我调节学习发展研究

研究基于自我调节学习理论,以初中生为被试,采用问卷调查的方法,构建了自我调节学习的发展模式,并以此为基础探讨了元认知、认知策略、自我效能感、动机情绪策略和资源管理策略等因素随年级发展变化的规律及作用。结果表明,年级不同其自我调节学习发展模式不同;低年级自我效能感、学习策略对成绩有直接作用,高年级自我效能感对成绩的作用必须以元认知和认知策略为中介,随年级增长元认知的直接作用越明显。     

Academic Self-Schemas and their Self-Congruent Learning Patterns: Findings Verified with Culturally Different Samples

This paper reported two studies investigating high school students’ academic self-schemas in learning mathematics and their self-congruent learning engagement patterns. Using cluster analyses, Study 1 located two contrasting groups of students holding positive and negative self-schemas in learning mathematics among Chinese participants. MANOVA analyses showed that these two groups of Chinese schematic students differed from each other in the use of achievement goals, approaches to learning, and expected levels of performance. These findings were validated and extended in Study 2 using a culturally different sample, Australian students. Again, cluster analyses successfully classified Australian participants into positive and negative schematic clusters. It was also found that these two groups of schematic students approached learning mathematics in a self-congruent manner similar to those found in Study 1. The converging results in both studies lent empirical support to the theoretical formulation of positive and negative schematic students and the validity of using the self-schema concept to investigate motivation and learning. The differences in their learning engagement patterns were discussed in terms of students’ different academic self-schemas in learning mathematics.     

An explanatory model of academic achievement based on aptitudes, goal orientations, self-concept and learning strategies

As a result of studies examining factors involved in the learning process, various structural models have been developed to explain the direct and indirect effects that occur between the variables in these models. The objective was to evaluate a structural model of cognitive and motivational variables predicting academic achievement, including general intelligence, academic self-concept, goal orientations, effort and learning strategies. The sample comprised of 341 Spanish students in the first year of compulsory secondary education. Different tests and questionnaires were used to evaluate each variable, and Structural Equation Modelling (SEM) was applied to contrast the relationships of the initial model. The model proposed had a satisfactory fit, and all the hypothesised relationships were significant. General intelligence was the variable most able to explain academic achievement. Also important was the direct influence of academic self-concept on achievement, goal orientations and effort, as well as the mediating ability of effort and learning strategies between academic goals and final achievement.     

Autonomy support and achievement goals as predictors of perceived school performance and life satisfaction in the transition between lower and upper secondary school

A self-determination theory perspective on motivation assumes that basic need support is a prerequisite for motivation, achievement, and well-being in several domains of life. In the present cross-sectional study, a representative sample of 2.594 Norwegian students in their final year of lower secondary education and their first year of upper secondary education responded to a survey measuring the students’ perceptions of their teachers’ autonomy support, the students’ personal achievement goals, perceived school performance, and life satisfaction. The purpose was to investigate the structural relation between these variables, as well as grade level and gender differences. The results showed that all achievement goals (mastery, performance approach and performance avoidance) were positively predicted by autonomy support. Perceived school performance and life satisfaction were predicted by autonomy support and achievement goals, but there were some grade and gender specific relations. Furthermore, students in their first year of upper secondary education had a higher mean level of all motivational variables. Finally, mastery goals were more important for girls than boys, whereas performance goals were more important for boys than girls. In conclusion, both academic achievement (perceived school performance) and life satisfaction may be considered as important indicators of adjustment to life, and they are related to the students’ perception of teachers’ autonomy support as well as the students’ own motivation for learning. However, the mean level of these variables is partly accounted for by grade level and gender.     

Study strategies and beliefs about learning as a function of academic achievement and achievement goals

Prior research by Hartwig and Dunlosky [(2012). Study strategies of college students: Are self-testing and scheduling related to achievement? Psychonomic Bulletin &; Review, 19(1), 126–134] has demonstrated that beliefs about learning and study strategies endorsed by students are related to academic achievement: higher performing students tend to choose more effective study strategies and are more aware of the benefits of self-testing. We examined whether students’ achievement goals, independent of academic achievement, predicted beliefs about learning and endorsement of study strategies. We administered Hartwig and Dunlosky’s survey, along with the Achievement Goals Questionnaire [Elliot, A. J., &; McGregor, H. A. (2001). A 2 × 2 achievement goal framework. Journal of Personality &; Social Psychology, 80, 501–519] to a large undergraduate biology course. Similar to results by Hartwig and Dunlosky, we found that high-performing students (relative to low-performing students) were more likely to endorse self-testing, less likely to cram, and more likely to plan a study schedule ahead of time. Independent of achievement, however, achievement goals were stronger predictors of certain study behaviours. In particular, avoidance goals (e.g., fear of failure) coincided with increased use of cramming and the tendency to be driven by impending deadlines. Results suggest that individual differences in student achievement, as well as the underlying reasons for achievement, are important predictors of students’ approaches to studying.     

A Comparison of Gifted,General, and Special Learning Needs Students on Academic and Social Self-Concept

The purpose of this study was to compare students identified as gifted, general, and having special learning needs on academic and social self-concept. The three groups of students were identified by their schools according to their academic abilities. Gifted students were selected because of inordinately high academic abilities, those with special learning needs because of inordinate academic difficulties, and general students because their academic abilities were not at either extreme. Junior high school students (N = 243) completed the Tennessee Self-Concept Scale and the School Attitude Measure. These measures were given in September and then repeated in May of the same academic year. Gifted students tended to score highest on both academic and social self-concept, although this relationship was influenced somewhat by sex. Students with special learning needs scored lowest on all variables. Differences found in the September testing were maintained in May. Educational implications of these results are elaborated.     

School socio-economic status and student socio-academic achievement goals in upper secondary contexts

In recent years motivational researchers have spent considerable time examining race/ethnicity and gender differences in academic and social achievement goals, but little time examining the influence of socioeconomic status (SES). This lack of attention is surprising given that both student motivation and SES have been shown to predict academic attainment. This study surveyed the academic and social achievement goal orientations of 16–17 year old students (n = 130) attending two schools with markedly different socioeconomic profiles. Analyses showed significant differences between the schools on the academic achievement goal scales, with students at the low SES school less likely to endorse adaptive combinations of mastery and performance goals than their high SES counterparts. Students who did not expect to finish senior high school also endorsed social goals that may manifest as disruptive behaviours in the classroom. The findings suggest that SES may influence the adoption of academic achievement goals but not necessarily social achievement goals. Implications for theory and research are discussed.     

高中生价值观对学校投入的影响:未来目标和动机内化程度的中介作用

为了考察价值观是否可以通过未来目标和动机内化程度影响高中生的学校投入，对六个城市七所学校的1022名高一学生的价值观、未来目标、学习动机内化程度及学校投入进行了调查。结果表明：（1）自我超越型价值观和自我完善型价值观能够使青少年发展出内在未来目标以及较为内化的学习动机，进而更加努力学习，而物质主义价值观则会使青少年形成外在未来目标以及较为外化的学习动机，进而更少投入学习；（2）当考虑价值观对未来目标的作用时，内外在未来目标不影响青少年的学习动机，但影响学校投入；（3）当不考虑价值观对未来目标的作用时，内在未来目标能够促进青少年学习动机的内化，进而更多地投入到学习中，而外在未来目标则会阻碍青少年学习动机的内化，进而更少投入学习。研究结果表明青少年的价值观比未来目标对学习有更重要的影响，说明学生发展指导工作中更应该注重价值观教育。     

Positive academic emotions moderate the relationship between self‐regulation and academic achievement

Background. Research has shown how academic emotions are related to achievement and to cognitive/motivational variables that promote achievement. Mediated models have been proposed to account for the relationships among academic emotions, cognitive/motivational variables, and achievement, and research has supported such mediated models, particularly with negative emotions. Aims. The study tested the hypotheses: (1) self‐regulation and the positive academic emotions of enjoyment and pride are positive predictors of achievement; and (2) enjoyment and pride both moderate the relationship between self‐regulation and achievement. Sample. Participants were 1,345 students enrolled in various trigonometry classes in one university. Methods. Participants answered the Academic Emotions Questionnaire‐Math (Pekrun, Goetz, & Frenzel, 2005) and a self‐regulation scale (Pintrich, Smith, Garcia, & McKeachie, 1991) halfway through their trigonometry class. The students’ final grades in the course were regressed to self‐regulation, positive emotions, and the interaction terms to test the moderation effects. Results and Conclusions. Enjoyment and pride were both positive predictors of grades; more importantly, both moderated the relationship between self‐regulation and grades. For students who report higher levels of both positive emotions, self‐regulation was positively associated with grades. However, for those who report lower levels of pride, self‐regulation was not related to grades; and, for those who reported lower levels of enjoyment, self‐regulation was negatively related to grades. The results are discussed in terms of how positive emotions indicate positive appraisals of task/outcome value, and thus enhance the positive links between cognitive/motivational variables and learning.     

Extending hierarchical achievement motivation models: The role of motivational needs for achievement goals and academic performance

In the current study, we investigated the role of three basic motivational needs (need for power, affiliation, achievement) as antecedents of goals within the 2 × 2 achievement goal framework, and examined their combined predictive validity with regard to academic performance in a sample of 120 university students. Structural equation modeling analysis largely supported our postulated model, linking motivational needs indirectly to course grades through goals. Achievement goals were formed by a combination of different motives: need for achievement was a positive predictor of all four achievement goals, and need for affiliation was negatively related to performance-approach and performance-avoidance goals. Additionally, need for power was a positive predictor of performance-avoidance goals. Performance-approach goals had a direct (positive) effect on performance outcomes. In sum, our results integrate basic motivational needs with the achievement goals literature and extend therefore hierarchical achievement motivation models, by showing how basic human motives of achievement, affiliation, and power are related to goal striving motivation and performance outcomes in an academic setting.     

An Analysis of the Blind Variation and Selective Retention Theory of Creativity

This research study explores the relation between measures of creative potential and cognitive and motivational variables, including students' interests, perceptions, and classroom experiences. Surveys were administered to 373 students (N = 373), along with 2 questionnaires, namely the Student Information Sheet (SIS) and the Teacher Encouragement Scale (TES). The students were divided into three groups as High Creative (HC), Average Creative (AC) and Low Creative (LC) on the basis of composite test scores on the tests of creative thinking. The HC students liked Science and Mathematics subjects at school level, whereas the rest of the groups (AC and LC) preferred Indian languages Telugu and Hindi. Surprisingly, all the three groups disliked Social Studies subjects. The top 5 occupations chosen were doctor, teacher, lawyer, engineer, and police constable. When comparing the 3 groups, it is evident that each group had similar aspirations. A high percentage of students, including the HC, were found to be addicted to school achievement. They perceived academic failure as a bad experience in the class and struggled for academic excellence, which was their main goal and interest in life. The highly creative students had more favorable attitudes towards teacher encouragement than the other groups.     

Self-regulated profiles and academic achievement

To date, research on the relation between learning self-regulation and academic achievement has generally show disparate results. This work intends to look into this relation from a new perspective, which consists in classifying the students as more or less self-regulated depending on diverse indicators and using cluster analysis. The aim of this work was to identify the possible self-regulated learning profiles in a sample of university students. By means of stepwise linear regression analysis, we determined which of the selected variables better predicted metacognitive self-regulation. Then, three significantly different self-regulated learning profiles were obtained by two-step cluster analysis with those variables. Lastly, ANOVA was used to analyse the relation between the self-regulated learning profiles and academic achievement. The implications of these data for the educational practice at university are discussed.     

Étude comparative des profils motivationnels d’adolescents scolarisés en lycée d’enseignement général,technologique et professionnel

The present research investigated motivational profiles of high school students following general, technological or vocational education. The French educational system is defined by an implicit hierarchy: the general education is considered as the most prestigious one, while specific education such as technological or vocational education is perceived as more appropriated for students with learning difficulties. Those representations could induce differences in academic engagements’ reasons. Nine hundred and forty-seven French students (552 following general, 222 following technological and 173 vocational education) completed the French version of the Academic Motivation Scale (AMS, Vallerand, Blais, Brière, & Pelletier, 1989). The AMS assesses various types of motivation defined by self-determination theory (Deci & Ryan, 2002). Cluster analysis revealed three distinctive motivational profiles present in all three types of education. In the first cluster, students’ scores were moderate in autonomous and controlled motivation and low in amotivation (moderate autonomous – controlled profile). The second cluster was characterized by high levels of autonomous and controlled motivation and a low amotivation (high autonomous – controlled profile). Finally, the third cluster was defined by a low autonomous motivation, a moderate controlled motivation and high level of amotivation (controlled profile). In addition, we found an impact of secondary education's type on academic motivation. Technological education was associated with the controlled profile, whereas adolescents involved in vocational education were more numerous in the high autonomous-controlled profile. Students following the general education were over-represented in moderate autonomous-controlled profile. The results presented above might be of a great interest to career counseling professionals and professors, especially if discussed in line with self-determination theory, in terms of motivational remediation.     

Motivational–cognitive profiles of learners: Cluster movement

The present study was designed to identify the motivational–cognitive profiles of students in Singapore secondary schools using cluster movement. Five distinct motivated strategies for learning (MSL) profiles based on a sample of 304 students were revealed: those with low levels of motivational beliefs and cognition but high anxiety (Poor MSL); high motivational beliefs and cognition but low anxiety (Good MSL); moderate high motivational beliefs, cognition and anxiety (Average MSL); high motivational beliefs, cognition and anxiety (High MSL); and low motivational beliefs, cognition and anxiety (Low MSL). Findings of this study also showed cluster movement across two time points, revealing the shifts in cluster membership in terms of motivational–cognitive profiles over time. Students in Good MSL demonstrated the most adaptive learning profile and achieved the highest grades than other clusters. Our findings contributed to practical underpinnings of educational research as well as provided meaningful insights to both researchers and practitioners.     

学业成就中等生和优良生的成就目标、自我监控与学业成绩关系的比较研究

采用量表法对学业成就中等生的研究发现：与学业优良生相比,学业成就中等生的自我监控水平显著低下;成就目标与学业成绩并无直接关系,但学习目标会通过自我监控间接影响学业成绩;在学业成就中等生中,高学习目标、低成绩目标者表现出更高的自我监控水平。     

Cognitive processes in university learning: A developmental framework using structural equation modelling

Background. Both achievement goals and study processing strategies theories have been shown to contribute to the prediction of students’ academic performance. Existing research studies ( Fenollar, Román, & Cuestas, 2007 ; Liem, Lau, & Nie, 2008 ; Simons, Dewitte, & Lens, 2004 ) amalgamating these two theoretical orientations in different causal models have reported their associations with other adaptive strategies and motivational constructs – for example, effort expenditure. Despite this recognition, there have been to date very few studies that explored the relations between achievement goals, study processing strategies, effort, and academic performance over time. Aim of study. The primary focus of our study is to explore the relations between the aforementioned theoretical constructs over a 2‐year period. Specifically, we tested an empirical model that conceptualized the relations between performance‐approach and mastery goals, deep processing strategies, effort, and academic performance across six time points of data collection. Methodology. Two hundred and eighty‐one (161 females, 120 males) university students took part in this study. The participants were administered various Likert‐scale inventories and the overall course mark and final examination were used as indexes of academic performance. Results. Structural equation modelling indicated a relatively good fit to the a posteriori model and the hypothesized paths were, in part, supported. The major findings included the predictive effects of performance‐approach goals at Time 1 on deep processing strategies at Time 2 and mastery goals at Time 3; the predictive effect of mastery goals at Time 3 on effort at Time 4; the predictive effects of deep processing at Time 2 on mastery goals at Time 3 and Time 4. Furthermore, the placement of deep processing and effort in this structural model also accentuated the performance‐approach goals – mastery goals – effort – academic performance relation, and the performance‐approach goals – deep processing – mastery goals – effort – academic performance relation. Discussion. Our study has important theoretical and practical implications concerning the conceptualization of the performance‐approach and mastery goals relationship, and the use of goal structure and adaptive strategies (e.g., deep processing) to enhance academic learning.     

The role of achievement goal orientations in students' perceptions of and preferences for classroom environment

Background . Recent research on achievement motivation has begun to examine the effects of environmental factors affecting students' motivational beliefs and goal tendencies. However, when interpreting and applying the results, individual factors underlying students' different perceptions of their learning environment are often ignored. An implicit assumption seems to be that regardless of their dispositional differences (e.g. motivational basis), students will experience and benefit from instructional practices in the same way. Aims . This paper highlights the importance of students' dispositional motivational factors when examining differences in their perceptions of and preferences for the learning environment. The study builds on a conception of student motivation that emphasizes the interaction of individual and contextual factors. Sample and method . Questionnaires served as self‐report tools and assessed students' achievement goal orientations, self‐esteem, causality beliefs, academic withdrawal and perceptions of and preferences for the learning environment. The sample consisted of 208 sixth grade elementary school students. Results . Based on latent class cluster analysis and one‐way analyses of variance, it was found that students' perceptions of and preferences for the learning environment vary depending on differences in students' motivational tendencies. Conclusions . Students' dispositional motivational characteristics should be taken into account both in theoretical considerations and in instructional interventions.     

Learning a second language by playing a game

Game‐like educational apps are intended to boost learner motivation leading to better learning outcomes. To test this idea about the value of gamification, college students (n = 64) learned Italian by playing the online language learning game, Duolingo at home for seven sessions, or learned the same material through watching an online slideshow for seven sessions. Although the groups did not differ significantly on achievement posttests, the Duolingo group rated their learning experience as significantly more enjoyable (d = 0.77), more appealing (d = 1.17), and less difficult (d = 0.51), and was significantly more willing to continue with similar learning experiences (d = 1.39). Overall, these results point to the motivational and affective benefits of Duolingo as a promising alternative to more traditional methods for students who may require additional motivation not to disengage from the material.     

Clarifying achievement goals and their impact

The study of achievement goals has illuminated basic motivational processes, though controversy surrounds their nature and impact. In 5 studies, including a longitudinal study in a difficult premed course, the authors show that the impact of learning and performance goals depends on how they are operationalized. Active learning goals predicted active coping, sustained motivation, and higher achievement in the face of challenge. Among performance goals, ability-linked goals predicted withdrawal and poorer performance in the face of challenge (but provided a "boost" to performance when students met with success); normative goals did not predict decrements in motivation or performance; and outcome goals (wanting a good grade) were in fact equally related to learning goals and ability goals. Ways in which the findings address discrepancies in the literature are discussed.     

More motivational aspects of an imagery mnemonic

Mnemonics research has focused on cognitive aspects of mnemonics. This study explored some motivational aspects of mnemonics–factors that can affect how much people might want to use mnemonics. It was hypothesized that using a mnemonic can make learning easier and more fun. College students used the rhyming peg mnemonic to learn 12 sayings (e. g. ‘Curiosity killed the cat’). The students rated the task as being easier (lower difficulty and effort) than did control students who learned the sayings without the mnemonic. There was also a tendency for the mnemonic students to rate the task as being more fun (higher interest and enjoyability), although behavioural measures of interest did not support the ratings. The mnemonic students also recalled more sayings than did the control students. The results suggest that, in addition to the cognitive effectiveness of mnemonics in increasing recal, mnemonics might also have the potential to make learning easier and possibly more fun.