大学生学习体验与学习结果的关系：学生投入的中介作用

选取3063名大学二年级本科生（平均年龄19.76 ± 0.73岁）为被试,考察大学生投入在学习体验（课堂学习体验和课外学习体验）和学习结果（学业成就、共通能力和学习满意度）间的中介作用。结果发现：（1）大学生投入在学习体验和学业成就间起部分中介作用;（2）大学生投入在学习体验和共通能力间起完全中介作用;（3）大学生投入在学习体验和满意度间起部分中介作用。     

面向“为学习而测评”的纵向认知诊断模型

基于“为学习而测评”的理念,以促进学生学习为目的,客观量化学习现状并提供诊断反馈的测评模式日益受到重视。相比于横断认识诊断测评,纵向认知诊断测评更有利于实现促进学生发展的目标。为使国内学者系统性地了解纵向认知诊断模型,首先,依据建模逻辑将已有纵向认知诊断模型划分为基于潜在转换分析的和基于高阶潜在结构模型的两类,并逐一介绍和说明两类模型的理论基础和应用情景;然后,通过模拟研究为读者呈现如何使用纵向认知诊断模型进行数据分析及如何解读相应的诊断结果。最后,提炼出四个可进一步研究的议题。     

Diagnostic models for procedural bugs in basic mathematical skills

A new diagnostic modeling system for automatically synthesizing a deep-structure model of a student's misconceptions or bugs in his basic mathematical skills provides a mechanism for explaining why a student is making a mistake as opposed to simply identifying the mistake. This report is divided into four sections: The first provides examples of the problems that must be handled by a diagnostic model. It then introduces procedural networks as a general framework for representing the knowledge underlying a skill. The challenge in designing this representation is to find one that facilitates the discovery of misconceptions or bugs existing in a particular student's encoding of this knowledge. The second section discusses some of the pedagogical issues that have emerged from the use of diagnostic models within an instructional system. This discussion is framed in the context of a computer-based tutoring/gaming system developed to teach students and student teachers how to diagnose bugs strategically as well as how to provide a better understanding of the underlying structure of arithmetic skills. The third section describes our uses of an executable network as a tool for automatically diagnosing student behavior, for automatically generating “diagnostic” tests, and for judging the diagnostic quality of a given exam. Included in this section is a discussion of the success of this system in diagnosing 1300 school students from a data base of 20.000 test items. The last section discusses future research directions.     

Can virtue be learned? An exploration of student learning experiences in ethics courses and their implications for influencing moral character

What does it mean to teach virtue, or to learn it? We consider this question through an institutional review board (IRB) supported research study attending to student learning experiences in undergraduate ethics courses at a Catholic university with an explicit commitment to social justice. This essay draws on and interprets qualitative data concerning the outcomes of select pedagogical approaches that involve exposing students to the experiences of others: the use of narratives; participation in structured experiential learning activities; and community engagement through deep listening and facilitated dialogue. We focus our interpretation around the implications of these pedagogies in relation to student understanding of and attitudes regarding three character traits identified as “other‐regarding” virtues in theological and philosophical scholarship – altruism, compassion, and solidarity. This paper considers the implications of these pedagogies and the practical effects of different sorts of teaching strategies on students' self‐understanding as moral agents.     

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.     

Investigating Links from Teacher Knowledge,to Classroom Practice,to Student Learning in the Instructional System of the Middle-School Mathematics Classroom

Using data collected in 125 seventh-grade and 56 eighth-grade Texas classrooms in the context of the “Scaling Up SimCalc” research project in 2005–07, we examined relationships between teachers’ mathematics knowledge, teachers’ classroom decision making, and student achievement outcomes on topics of rate, proportionality, and linear function—three important and cognitively demanding prealgebra topics. We found that teachers’ mathematical knowledge was correlated with student achievement in only one study out of three. We also found a lack of correlations between teachers’ mathematical knowledge and critical aspects of instructional decision making. Curriculum and other learning resources (e.g., technology, student–student interactions) are clearly important factors for student learning in addition to, and in interaction with, teachers’ mathematical knowledge. Our results suggest that mathematics knowledge for teaching may have a nonlinear relationship with student learning, that those effects may be heavily mediated by other instructional factors, and that short-term content knowledge gains in teacher workshops may not persist in classroom instruction. We discuss a need in the field for richer models of how “mathematical knowledge for teaching” works in the context of complete instructional systems.     

Personality and the psychology of learning

The aim of this article is to examine the interaction between personality and learning in order to find clues to the role that a student's personality plays in the process of adaptation and learning. To scrutinize such an expansive area requires that I cover a lot of territory in a small space, condensing many components and processes. Wherever meaningful, I will direct readers to sources that provide greater depth of coverage. The article is divided into four sections. The first section covers personality theories and models based on a structure-oriented view of personality. The second section addresses personality from a process-oriented viewpoint. Current research findings that relate personality characteristics explicitly to learning processes, strategy use, and metacognition are briefly reviewed. The third section goes one step further and discusses second-generation process-oriented personality models. These models are applied to student behaviour during actual learning episodes. A general outline of my model of the adaptable learning process is given and it is argued that the quality of subjective experience is not just an outcome of personality characteristics. It is influenced by student * situation transactions. In the fourth section, conclusions and suggestions for future research are given.     

IMPACT OF THE IMPLEMENTATION OF THE TEACHING/LEARNING CYCLE ON TEACHER DECISION-MAKING AND EMERGENT READERS

No topic is on the minds of the general public, federal and state legislatures, parents, and educators more than the issue of establishing and maintaining school programs that are consistent in their ability to produce competent readers. Teachers, administrators, and teacher preparation programs are admonished to change programs, resources, monitoring procedures - whatever it takes to bring about this reformation of student reading achievement. Topics under investigation include effective models, methods, and strategies of instruction; essential teacher knowledge; teacher decision-making; and professional development of in-service and pre-service teachers. From this body of research the terms "balanced literacy" and "engaged literacy" have emerged. These terms are defined as emphasizing instruction on identified student need and including skills development as well as experience in a variety of texts. The teaching/learning cycle, a model for evaluating student reading behaviors and planning focused instruction, providesa foundation for the development of essential teacher knowledge and skills. As teachers articulate their understanding of the reading process, the characteristics of the learner, and the supports and challenges offered in text and teaching approaches, their practice is changed to make it more congruent with these stated beliefs. When teacher instructional practice is aligned with clear understandings and beliefs, student achievement increases. This study explored how knowledge and use of the teaching/learning cycle in beginning reading instruction impacts teacher decision-making and student achievement. While investigating teachers' knowledge and use of the teaching/learning cycle, two research questions focused on how student learning was affected and the impact of the changes on student/teacher interactions.     

Four mediation models of teacher expectancy effects on students’ outcomes in mathematics and literacy

The study tested 4 direct and 28 indirect teacher expectancy effects on students’ results in the mathematics and literacy sections of the matriculation test, and their final marks in the 12th-grade mathematics and literacy class. The following were considered as mediators: student self-esteem, their self-expectancy, and time spent learning mathematics and literacy. The study involved 1374 first year college students. Conducted path analyses revealed: (1) the total teacher expectancy effects was the strongest for final marks in mathematics, followed by test results in mathematics, test results in literacy, and final marks in literacy; (2) the direct effect was stronger than the total indirect teacher expectancy effects in the case of mathematics, while for literacy outcomes, the order of the effects was reversed; (3) the direct teacher expectancy effects were positive; the indirect effects reversed after including student self-esteem/student self-expectancy into relations between teachers’ expectancy and mathematics and literacy outcomes; (4) teachers’ expectancy was mediated most strongly by student self-esteem, time spent learning, and student self-expectancy, or by student self-expectancy and time spent learning, respectively for mathematics and literacy outcomes; (5) the impact of teachers’ expectancy was stronger than student self-expectancy for mathematics, but was the same or weaker for literacy outcomes, respectively. The obtained results were discussed in the light of the theory and results of studies concerning teacher expectancy effects.     

Fear relevancy, strategy use, and probabilistic learning of cue-outcome associations

The goal of this study was to determine how the fear relevancy of outcomes during probabilistic classification learning affects behavior and strategy use. Novel variants of the "weather prediction" task were created, in which cue cards predicted either looming fearful or neutral outcomes in a between-groups design. Strategy use was examined by goodness-of-fit estimates of response patterns across trial blocks to mathematical models of simple, complex, and nonidentifiable strategies. Participants in the emotional condition who were fearful of the outcomes had greater skin conductance responses compared with controls and performed worse, used suboptimal strategies, and had less insight into the predictive cue features during initial learning. In contrast, nonfearful participants in the emotional condition used more optimal strategies than the other groups by the end of the two training days. Results have implications for understanding how individual differences in fear relevancy alter the impact of emotion on feedback-based learning.     

Observing tutorial dialogues collaboratively: insights about human tutoring effectiveness from vicarious learning

The goals of this study are to evaluate a relatively novel learning environment, as well as to seek greater understanding of why human tutoring is so effective. This alternative learning environment consists of pairs of students collaboratively observing a videotape of another student being tutored. Comparing this collaboratively observing environment to four other instructional methods—one-on-one human tutoring, observing tutoring individually, collaborating without observing, and studying alone—the results showed that students learned to solve physics problems just as effectively from observing tutoring collaboratively as the tutees who were being tutored individually. We explain the effectiveness of this learning environment by postulating that such a situation encourages learners to become active and constructive observers through interactions with a peer. In essence, collaboratively observing combines the benefit of tutoring with the benefit of collaborating. The learning outcomes of the tutees and the collaborative observers, along with the tutoring dialogues, were used to further evaluate three hypotheses explaining why human tutoring is an effective learning method. Detailed analyses of the protocols at several grain sizes suggest that tutoring is effective when tutees are independently or jointly constructing knowledge: with the tutor, but not when the tutor independently conveys knowledge.     

Benefits Derived by College Students from Mentoring At-Risk Youth in a Service-Learning Course

Service learning is increasingly being used as a pedagogical strategy for promoting the development of civic-mindedness among university students. Despite the use of this strategy, little is known about the benefits derived from specific types of service-learning experiences. Additionally, few notable studies have examined the unique outcomes experienced by mentors of at-risk youth. Therefore, this study examines the civic-related benefits that college students derive from mentoring at-risk youth within a structured, service-learning course. A series of linear regression models were estimated to determine if there were significant post-intervention differences between the treatment and comparison condition for the variables of interest, after adjusting for key background factors and pre-intervention levels of all variables. The results indicated that, in comparison to college students who did not participate in the course (n = 258), college student in Campus Corps, a youth mentoring program, (n = 390) had significantly higher scores at post-intervention regarding mentors’ civic attitudes, community service self-efficacy, self-esteem, interpersonal and problem solving skills, political awareness, and civic action. Findings hold important implications for youth mentoring programs and future research.     

Articulating a Freshman Orientation Program with a Social Science Course

The method and outcomes of an experimental linkage of the freshman orientation program to a required freshman liberal arts course is described. The counselor and faculty member teamed in a coordinated effort to enhance total student development. Outcomes included application of academic concepts to student's everyday life, especially career concerns, greater student participation in the orientation sessions, increased counselor awareness of individual student problems ranging from study skills difficulties to personal crises, and greater understanding of the counselor role by the faculty member.     

Sports Counseling: Enhancing the Development of the Student-Athlete

The academic and personal development of intercollegiate athletes is a growing concern among academic administrators and student affairs professionals. The authors explore two problems, role conflict and athletic retirement, commonly faced by student-athletes. Also, they describe several potentially useful intervention models based on a psychoeducational approach and suggest some directions for future research in aiding understanding of student-athlete development.     

Cultural diversity: Mapping the experiences of students on an international counsellor training programme

This research study explores one part of a diverse counselling training landscape in the shape of an international postgraduate education and training programme for counsellors. The research sample includes participants from Tanzania, the Gambia, Ghana, Nigeria, Indonesia, China, Taiwan, Iceland, Japan, Greece, Portugal, Lebanon and Saudi Arabia. Cultural diversity is examined in relation to the learning and development of international counselling students. Qualitative analysis of interview data is used to identify issues related to student expectations, the process of becoming a counsellor and student learning outcomes. Some issues in counsellor training appear to be shared across all international students, while other issues arise from specific cultural backgrounds of students. The implications of these findings are discussed.     

Continuous assessment in a new Testament survey course: Empirically informed reflections on an Australian trial

This article reports on a practitioner action research project focused on developing, trialing, and reflecting upon a continuous and formative‐assessment plan for a foundational New Testament survey course. Three pedagogical convictions are discussed and drive the design of the assessment. Seven to nine assessment items (depending on level of study) based on course learning outcomes and informed by Bloom's taxonomy of learning, were developed and implemented. Students provided feedback on the assessment through an anonymous online survey. The results demonstrate that students preferred continuous assessment to an exam and major essay, and that they better achieved the course learning outcomes. In conclusion, this style of assessment is effective in driving and assessing student learning and so provides a basis for further action reflection.     

Caring and the Graduate Student: A Phenomenological Study

Given the increasing numbers of adult learners on university campuses, both as undergraduates and graduates, an understanding of adult learning processes is relevant—indeed essential—to the university's response to this student group. While educators have attempted to understand learners in terms of developmental stages, learning styles, and contextual factors, less attention has focused on the dynamics of helping relationships that attend learning or the importance of caring in the learning process. The purpose of this phenomenological study was to explore and explicate the experience of caring as it relates to graduate education from the perspective of the graduate student. The connection between caring relationships and learning was confirmed. Seven components of the caring were identified. Implications for the university center on attention to relationship skills and the creation of a campus community in which caring relationships are encouraged and nurtured.     

Productive Failure in Learning Math

When learning a new math concept, should learners be first taught the concept and its associated procedures and then solve problems, or solve problems first even if it leads to failure and then be taught the concept and the procedures? Two randomized‐controlled studies found that both methods lead to high levels of procedural knowledge. However, students who engaged in problem solving before being taught demonstrated significantly greater conceptual understanding and ability to transfer to novel problems than those who were taught first. The second study further showed that when given an opportunity to learn from the failed problem‐solving attempts of their peers, students outperformed those who were taught first, but not those who engaged in problem solving first. Process findings showed that the number of student‐generated solutions significantly predicted learning outcomes. These results challenge the conventional practice of direct instruction to teach new math concepts and procedures, and propose the possibility of learning from one's own failed problem‐solving attempts or those of others before receiving instruction as alternatives for better math learning.     

Associations between teacher expectations and racial disproportionality in discipline referrals

We explored the racial discipline gap and sought to understand the extent to which elementary school teachers' (N = 33; Grades K-6) expectations for their students' (N = 496) future outcomes predicted racial discipline disproportionality. We used multilevel models, and Ordinary Least Squares (OLS) regression with standardized errors corrected, to examine associations between teacher expectations of academic and behavioral student outcomes and patterns of office discipline referrals (ODRs) for the year. Results showed disproportionate ODR outcomes for Black students in comparison to White students. Additionally, we found that students held to lower expectations by their teachers received more ODRs than peers rated highly by their teachers, regardless of race. We also found that for every unit teacher expectations increased, the ODR disparity between Black, Latinx, and White students decreased. Lastly, multilevel models exploring teacher expectations of student outcomes explained approximately 21% of the difference in ODRs between Black and White peers.