On Guessing: An Alternative Adjusted Positive Learning Estimator and Comparing Probability Misspecification With Monte Carlo Simulations

Practitioners in the sciences have used the “flow” of knowledge (post-test score minus pre-test score) to measure learning in the classroom for the past 50 years. Walstad and Wagner, and Smith and Wagner moved this practice forward by disaggregating the flow of knowledge and accounting for student guessing. These estimates are sensitive to misspecification of the probability of guessing correct. This work provides guidance to practitioners and researchers facing this problem. We introduce a transformed measure of true positive learning that under some knowable conditions performs better when students’ ability to guess correctly is misspecified and converges to Hake’s normalized learning gain estimator under certain conditions. We then use simulations to compare the accuracy of two estimation techniques under various violations of the assumptions of those techniques. Using recursive partitioning trees fitted to our simulation results, we provide the practitioner concrete guidance based on a set of yes/no questions.     

Which factors best account for academic success: Those which college students can control or those they cannot?

This study integrates research linking academic performance with individual differences and class attendance. Whereas individual differences (ability, traits) are not controllable by students, students can control their attendance, study and work. Thus we sought to determine the extent to which “control” and “no control” variables predict academic performance. With N = 338, measures of verbal ability, the five-factor model, GPA, academic goals, and study behavior were used to predict exams, attendance, and independent projects completed. Uncontrollable factors accounted for 37% of the variance in exam scores; controllable factors accounted for an additional 6–10%. We also found an interaction such that, relative to low-ability peers, high-ability students’ attendance most enhanced their exam performance. Attendance was best accounted for by GPA, study and work. Projects were best predicted by low verbal ability and by personality traits.     

A Study of the Relationship between Familial Factors and Academic Motivation and Achievement in High School Students

Educational psychologists, nowadays, are more concerned about the students who are motivated in learning and interested in achieving their academic goals. Academic motivation and achievement are considered as primary indicators of students’ learning process and outcomes. This study aimed to know the relationship between the most important familial factors (e.g., parental education, parental occupation, family type, monthly household income, sibling’s achievement) with students’ academic motivation and achievement. One hundred and eighty high school students, age ranging from 13 to 16 years (M = 14.20, SD = .960), at eighth through tenth grade, were selected from six high schools through purposive sampling method, from Chittagong, Bangladesh. A Bangla version of ‘Academic Motivation Questionnaire’ (Fatematuzzohra et al., 2010), originally developed by Vallerand et al. (Can J Behav Sci 21(3):323–349, 1989. https://doi.org/10.1037/h0079855), was used to pursue the study. The result showed that all of the familial factors except the family type had significant effects on both students’ academic motivation and achievement scores. A significant positive correlation was found between students’ academic achievement and academic motivation scores (r = .339, p < .01). All of the familial factors were significant in explaining students’ academic achievement as well as their academic motivation. These factors combinedly explained 57.5% of the variance in students’ academic achievement (R2 = .575, F(13, 166) = 17.281, p < .01) and explained 30.5% of the variance in students’ academic motivation (R2 = .305, F(13, 166) = 5.614, p < .01). Implications for understanding the relationship between familial factors and academic motivation and achievement are discussed.     

The Effects of Fading a Strategic Self-Monitoring Intervention on Students’ Academic Engagement,Accuracy, and Productivity

In this study, using a single-case multiple-treatment reversal (A-B-A-B-C) research design, we replicated and extended previous strategic self-monitoring research by teaching five students, with and without disabilities, to use ACT-REACT to increase their academic engagement, productivity, and accuracy across new and previously learned math material. Then, we gradually faded the students’ use of the strategic self-monitoring recording sheet until they were no longer using it. When the ACT-REACT self-monitoring recording sheet was in place the students’ engagement and academic productivity increased; however, when it was faded, the results varied. During fading, the students’ performance generally exceeded baseline conditions and compared adequately to intervention effects. Overall, the results of this study support the advantages of strategic self-monitoring and also point to the mixed benefits of fading these procedures in inclusive environments.     

有效测量元认知监控的新方法：Mastermind任务分析

元认知监控是元认知的核心成分,而且是内隐程度较高的心理活动。研究采用认知操作法,对经典的Mastermind游戏任务加以改编,结合访谈分析,探讨了适合考察元认知监控的任务难度和有效的元认知监控指标。研究结果发现：（1）对于大学生来说,在游戏4（要求从六种颜色中选出四种正确的颜色,且排列位置也要正确）中当知觉难度最大且又可以经过努力选择策略、根据反馈进行有效选择时,才会在最大程度上激发元认知监控,使得游戏成绩提高;（2）“监测时间”是元认知监测的有效测量指标,而“违背反馈次数”是元认知控制的有效测量指标。     

Subliminal priming of motivational orientation in educational settings: Effect on academic performance moderated by mindfulness

Recent literature indicates that a motivational orientation can be unconsciously primed. This study examined whether motivational priming influences students’ academic performance within an educational setting and whether this effect is moderated by students’ degree of mindfulness. Two randomly assigned groups of students received an identical lesson. However, the teacher’s slideshow contained different subliminal words according to the condition (autonomous vs. controlled motivation). Results demonstrated an interaction between students’ dispositional mindfulness and priming conditions. The more mindful students were immune to the manipulation whereas the less mindful students were affected by the priming: those primed with autonomous motivation obtained better results than those primed with controlled motivation. These findings contribute to priming research specifying individual differences of priming responsiveness.     

Comparing self-esteem and perceived control as predictors of first-year college students’ academic achievement

Due to its widespread popularity, self-esteem is continually being promoted to students despite limited empirical support for its effectiveness in improving their academic achievement. As a result, constructs that are potentially more salient to academic performance, such as perceived control, have gone relatively unnoticed. Although past research has examined the link between students’ academic achievement and either their self-esteem or perceived control, few studies have compared both constructs simultaneously to elucidate which one is more important to academic success. This longitudinal study directly contrasted the effects of self-esteem and perceived control on the academic performance of 802 first-year college students. After accounting for incoming ability (high school grades), age, and gender, a structural equation model showed perceived control positively predicted students’ GPA. In contrast, the predictive effect of self-esteem on GPA was non-existent. Findings indicate that compared to self-esteem, perceived control is a more powerful predictor of first-year college students’ GPA. Implications for utilizing educational interventions to boost perceived control among college students are discussed.     

Personality predicts academic performance: Evidence from two longitudinal university samples

To what extent and which personality traits predict academic performance was investigated in two longitudinal studies of two British university samples. Academic performance was assessed throughout a three years period and via multiple criteria (e.g., exams and final-year project). In addition several indicators of academic behaviour, e.g., absenteeism, essay writing, tutors’ exam predictions, were also examined with regard to both academic performance and personality traits. In sample 1 (N=70), the Big Five personality factors (Costa & McCrae, 1992)—particularly Neuroticism and Conscientiousness—were found to predict overall final exam marks over and above several academic predictors, accounting for more than 10% of unique variance in overall exam marks. Results suggest that Neuroticism may impair academic performance, while Conscientiousness may lead to higher academic achievement. In sample 2 (N=75) the EPQ-R (Eysenck & Eysenck, 1985) was used as the personality measure and results showed the three superfactors were the most powerful predictor of academic performance, accounting for nearly 17% of unique variance in overall exam results. It is demonstrated that (like Neuroctisim) Psychoticism could limit academic success. The present results provide evidence supporting the inclusion of well-established personality measures in academic selection procedures, and run counter to the traditional view of ability measures as the exclusive psychometric correlate of academic performance.     

Conscientiousness and self-motivation as mutually compensatory predictors of university-level GPA

To help account for variability across studies in the predictive utility of conscientiousness, we proposed that conscientiousness and self-motivation mutually compensate for each other in predicting university-level academic performance. Consistent with this expectation, we found evidence of such mutual moderation in a sample of 377 college undergraduates. First, we found that conscientiousness and self-motivation compensated for each other in predicting university GPA: Students who were either high in conscientiousness or high in self-motivation had better academic performance (GPA) than those who were low in both conscientiousness and self-motivation. Second, these findings were still evident after we controlled for the students’ previous academic performance (high school rank) and academic ability (SAT/ACT). The study of mutually compensatory predictors not only offers the potential of developing better predictive models; it also helps to account for why some “main effect” predictors of university GPA are variable across studies in their degree of predictive utility.     

Primary school teacher interpersonal behavior through the lens of students’ Eysenckian personality traits

The present study investigates the association between students’ Eysenckian personality traits and their perceptions of teacher interpersonal behavior. A sample of 273 Cypriot public primary school fifth and sixth graders, as well as their teachers participated in the study. Students completed a three-part self-report questionnaire of: (a) a demographic questions sheet, (b) the Greek adaptation of the Questionnaire of Teacher Interaction for Primary students and (c) the Greek Eysenck Personality Questionnaire Junior. Teachers rated students’ academic achievement in language and mathematics. Extraversion was associated with cooperative teacher behaviors, (i.e. leadership, helping friendly, understanding, and student responsibility freedom), whereas Neuroticism and Psychoticism, with teacher oppositional behaviors (i.e. dissatisfaction, strictness, and admonishing behavior). Regression analyses, run separately for each dimension of perceived teacher interpersonal behavior, revealed different predictors, with only Extraversion and Psychoticism explaining variance in students’ perceptions, whereas academic achievement was more likely to predict all but one of the dimensions of teachers’ interpersonal behavior.     

Using Past Performance, Proxy Efficacy, and Academic Self-Efficacy to Predict College Performance

This study examined the ability of prior academic performance, proxy efficacy, and academic self-efficacy to predict college academic performance. Participants ( N  = 202) completed a modified version of the Teacher Collective Efficacy scale ( Goddard, 2001 ), the Academic Self-Efficacy scale ( Elias & Loomis, 2000 ), and a demographic questionnaire. Prior performance was predictive of both academic self-efficacy beliefs and college performance. Hierarchical regression analysis indicates that academic self-efficacy beliefs explain a significant amount of unique variance beyond past performance in predicting college performance. Proxy efficacy did serve as a predictor of student academic self-efficacy, but did not serve as a predictor of college performance. Implications for instructors, as well as for future research, are discussed.     

中学生自我评价水平的发展及其与学业成绩之间的关系

目的：考察中学生自我评价的发展及其与学业成绩的关系。方法：使用About me问卷与长处和困难问卷（SDQ）来调查中学生的自我评价水平,选取语文、数学英语和总成绩作为学业成绩的指标,对自我评价和学业成绩进行了相关和回归分析。结果：（1）初中生的学业自我评价要好于高中生;（2）中学生自我评价的学业努力程度和学业能力与学业成绩间存在正相关,尤其是自我评价的学业能力对各种学业成绩的正向预测作用都较大。长处和困难方面只有总分对数学成绩的负向预测作用较大。结论：不同年级学生在自我评价的不同方面表现出不同特征,初二年级在学业自我评价和长处困难上的得分都较高;学业自我评价对学业成绩的预测作用较明显,本研究中发现对困难方面的自我评价与学业成绩间的关系较弱,但困难总分对于数学成绩有一定的负向预测作用。     

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.     

元认知监测与算术知识制约小学儿童心算策略运用能力的发展:一年纵向考察

为探究元认知监测与算术知识对儿童心算策略运用能力的影响如何随个体发展而变化，采用计算机任务与纸笔测量的方法，对85名小学三、五年级儿童进行了历时一年的纵向追踪研究。研究发现：（1）两组儿童的元认知监测和算术知识均呈增长趋势，算术知识的增长速度五年级显著快于三年级，且元认知监测增长速度与算术知识增长速度显著相关；（2）两组儿童中，元认知监测与算术知识增长速度更快的个体策略执行反应时与错误率的减少速度也更快；（3）五年级儿童的算术知识在元认知监测影响策略选择发展中起着完全中介作用。     

学业成就、创造力与跨学科概念图创作能力的关系

为了从知识基础和创造性思维视角探讨跨学科知识整合的条件,以125名高二学生为被试采用相关研究设计考察了学业成就、创造力与跨学科概念图创造能力的关系。结果发现：（1）学业成就与跨学科概念图创作能力正相关;高成就组在命题、交叉和总分维度上的表现优于低成就组;而中成就组在命题和总分维度上的表现优于低成就组;（2）创造力与跨学科概念图创作能力正相关;创造力的流畅性和独创性与跨学科概念图的所有维度正相关;灵活性与概念图创作的命题、交叉、范例和总分正相关;（3）学业成就与创造力能够中等程度地预测跨学科概念图创作不同能力组被试的分布。这表明学业成就和创造力是跨学科知识整合的基础。     

Environmental knowledge and conservation behavior: exploring prevalence and structure in a representative sample

Knowledge is commonly seen as a necessary precondition for a person’s behavior. Consistent with this, most educational interventions rely on knowledge transfer. However, for the most efficient informational strategies for education, it is essential that we identify the types of knowledge that promote behavior effectively and investigate their structure. A questionnaire consisting of three environmental knowledge scales and a conservation behavior measure was sent to 5000 randomly selected Swiss adults. A completed questionnaire was returned by 55% of them (N=2736). A series of structural equation analyses indicates that the three knowledge forms exert different influences on conservation behavior: Action-related knowledge and effectiveness knowledge have a direct effect on performance. In contrast, system knowledge is more remote from behavior, exerting only a mediated influence on it by way of affecting the other two knowledge types.     

Incremental and predictive utility of formative assessment methods of reading comprehension

Formative assessment measures are commonly used in schools to assess reading and to design instruction accordingly. The purpose of this research was to investigate the incremental and concurrent validity of formative assessment measures of reading comprehension. It was hypothesized that formative measures of reading comprehension would contribute more to our understanding of students' overall reading abilities than simply oral reading fluency (ORF). It was also hypothesized that measures could be modeled in a meaningful way to explain student performance on criterion measures of academic competence. Four formative measures of reading comprehension – maze (MZ), retell fluency (RTF), written retell (WRT), and sentence verification technique (SVT) – were used to measure unique aspects of reading comprehension through production-type responses. Results suggested that reading comprehension measures, when combined with ORF, added to the total variance associated with reading ability and were reliable indicators of student performance on a high stakes criterion-referenced assessment of grade-level literacy.     

First-Order Learning Models With the GDINA: Estimation With the EM Algorithm and Applications

In learning environments, understanding the longitudinal path of learning is one of the main goals. Cognitive diagnostic models (CDMs) for measurement combined with a transition model for mastery may be beneficial for providing fine-grained information about students’ knowledge profiles over time. An efficient algorithm to estimate model parameters would augment the practicality of this combination. In this study, the Expectation–Maximization (EM) algorithm is presented for the estimation of student learning trajectories with the GDINA (generalized deterministic inputs, noisy, “and” gate) and some of its submodels for the measurement component, and a first-order Markov model for learning transitions is implemented. A simulation study is conducted to investigate the efficiency of the algorithm in estimation accuracy of student and model parameters under several factors—sample size, number of attributes, number of time points in a test, and complexity of the measurement model. Attribute- and vector-level agreement rates as well as the root mean square error rates of the model parameters are investigated. In addition, the computer run times for converging are recorded. The result shows that for a majority of the conditions, the accuracy rates of the parameters are quite promising in conjunction with relatively short computation times. Only for the conditions with relatively low sample sizes and high numbers of attributes, the computation time increases with a reduction parameter recovery rate. An application using spatial reasoning data is given. Based on the Bayesian information criterion (BIC), the model fit analysis shows that the DINA (deterministic inputs, noisy, “and” gate) model is preferable to the GDINA with these data.     

Does medial prefrontal cortex activity during self‐knowledge reference reflect the uniqueness of self‐knowledge?1

Abstract: For this study, functional magnetic resonance imaging was used to examine whether medial prefrontal cortex (MPFC) activity during self‐knowledge reference reflects the uniqueness of self‐knowledge. Experiment 1 investigated neural activity during self‐knowledge reference (“Does the word describe you?”) and self‐monitoring (“Does the word make you feel pleasant?”). The results showed that self‐knowledge reference and self‐monitoring activate common neural substrates within the MPFC. Experiment 2 compared neural activity produced by self‐knowledge reference, other‐knowledge (acquaintance‐knowledge) reference (“Does this word describe the person?”), and evaluation (“Is this word socially desirable?”). Results showed no increase in MPFC activity during self‐knowledge reference relative to other‐knowledge reference. Furthermore, self‐knowledge reference and other‐knowledge reference share common neural substrates within the MPFC. The results described indicate that it is unlikely that MPFC activity during self‐knowledge reference reflects the uniqueness of self‐knowledge. The feature, as reflected in MPFC activity, is discussed.     

Assessing phonological awareness in kindergarten children: Issues of task comparability

Ten different phonological awareness tasks were administered to a group of kindergarten children whose reading ability was assessed 1 year later. The extraneous cognitive requirements inherent in the tasks varied widely. The children's performance on three tasks that involved a rhyming response was at ceiling, and these tasks did not correlate with subsequent reading progress. The other seven measures were all moderately related to later reading ability and, employed in sets, were very strong predictors. The relative predictive accuracy of the phonological tasks was equal to or better than more global measures of cognitive skills such as an intelligence test and a reading readiness test. The phonological tasks had a large amount of common variance. Factor analysis revealed only one factor on which all the nonrhyming phonological tasks loaded highly. The results bolster the construct validity of phonological awareness, indicate considerable comparability and interchangeability among the tasks used to measure the construct, and are encouraging as regards the possible use of such tasks in predictive test batteries.