Faculty do Matter: The Role of College Faculty in Student Learning and Engagement

This study uses two national data sets to explore the relationship between faculty practices and student engagement. Our findings suggest that students report higher levels of engagement and learning at institutions where faculty members use active and collaborative learning techniques, engage students in experiences, emphasize higher-order cognitive activities in the classroom, interact with students, challenge students academically, and value enriching educational experiences.     

The Role of Student Growth Percentiles in Monitoring Learning and Predicting Learning Outcomes

Most formative assessments rely on the performance status of a student at a particular time point. However, such a method does not provide any information on the propensity of the student to achieve a predetermined target score or whether the student is performing as per the expectations from identical students with the same history of academic achievement. Although such a trend has been proposed via the use of the student growth percentiles (SGPs), most of the work associated with SGPs has focused mainly on teacher and school accountability. In this article, however, we illustrate examples in the use of SGPs and entry growth percentile scores to monitor students' learning progress. Monitoring students' learning trends, evaluated in the context of their SGPs and their propensity to achieve the target score, would likely yield meaningful differential information even for students with the same score at a particular point in time.     

Individual and Situational Interest: The Role of Gender and Skill

The purpose of this study was to examine individual and situational interests in learning motor skills as associated with gender and skill. Individual and situational interests and motor skill were measured in middle school girls (n = 109) and boys (n = 82). A correlation analysis for the entire sample showed a moderate correlation between skill and individual interest (r = .63) and weak relationships between individual and situational interest (r < .10) and between situational interest and skill (r < .18). A MANOVA analysis revealed a difference between the boys and girls in situational interest at a borderline significance level (p = .05). However, when individual interest, skill, and gender were compared between students with high or low situational interest in a hierarchical log linear model, it was found that both groups did not differ in number of boys and girls (p = .98). But the high situational interest group had more students with high skill (p = .001) and high individual interest (p = .02). The results suggest that discrepancies in acquired skill accounted for the gender difference and that acquired skill is associated with individual interest and high situational interest in learning motor skills.     

Student Engagement and Student Learning: Examining the Convergent and Discriminant Validity of the Revised National Survey of Student Engagement

The present study examined the relationships between student engagement, represented by two versions of the National Survey of Student Engagement (NSSE) and self-reported gains in learning. The study drew on institutional-level data from participating institutions in 2011 and 2013. The objective of the research was to compare evidence of convergence and discrimination for the two versions of NSSE using canonical correlation analysis. Results indicated that both versions of NSSE provided clear evidence of convergence in that student engagement measures were significantly and positively related to perceived gains in learning. However, only the most recent version of NSSE provided strong evidence of discrimination (i.e., differential relationships between engagement measures and self-reported learning outcomes). Thus, the revised NSSE appears to offer substantial advantages for institutions interested in more nuanced understandings of the relationships between student engagement and perceived learning outcomes. Implications for educators, with goals of enhancing student learning, and for researchers, who often compare complex sets of data, are included.     

数学元认知差异的相关研究及启示

本文通过回顾关于数学元认知的相关研究,对数学元认知的理论和学生数学元认知差异的主要表现进行了分析与梳理.相关研究发现,学生的数学元认知水平在数学学优生与学困生、性别、年龄等方面,差异较为明显.文章最后指出了相关研究对数学教学的启示.     

Encouraging College Student Active Engagement in Learning: The Influence of Response Methods

The purpose of this study was to examine the use of two student response methods within selected college lecture halls. Kinesiology majors from three universities were asked to respond to questions during two consecutive lectures, one using “clickers” and the other using hand-raising. Participation and comprehension rates were statistically significantly different following the use of the different response methods. Participant survey responses revealed insight into student participation, question presentation, perceived cognitive engagement, and overall learning in traditional lecture settings using the response methods.     

提高高等数学学习兴趣初探

结合教学实践,针对目前大学生学习高等数学缺乏积极性和主动性,主要从明确学习目的、“问题驱动”引入概念、黑板板书与多媒体相结合、数学建模融入教学等五个方面,对提高学生的学习兴趣做了一些初步的探索。     

Change in Fluid and Crystallized Intelligence and Student Achievement: The Role of Intellectual Engagement

Intellectual engagement (IE) refers to enjoyment of intellectual activities and is proposed as causal for knowledge acquisition. The role of IE for cognitive development was examined utilizing 2‐year longitudinal data from 112 ninth graders (average baseline age: 14.7 years). Higher baseline IE predicted higher baseline crystallized ability but not changes therein, and was not associated with fluid ability. Furthermore, IE predicted change in school grades in language but not in mathematics grades or in standardized tests. These findings suggest that IE is not a major predictor of knowledge acquisition in adolescence, where degree of self‐determination in intellectual behaviors may be relatively limited. Open questions for future research are addressed, including reciprocal longitudinal associations between IE and academic and cognitive development.     

Time and Performance in Online Learning: Applying the Theoretical Perspective of Metacognition

Educational psychologists have found that metacognitive calibration predicts learning outcomes in self‐regulated learning. In this research the authors apply theories of metacognition from educational psychology and postulate that metacognitive calibration influences learning time and performance in online learning. Data gathered from 230 college students who completed online self‐regulated assignments in an introductory information systems course confirms that higher calibration accuracy leads to better performance on assignments, which contributes to higher exam grades. In addition, higher calibration accuracy also reduces the amount of time students spent on the online assignments. However, time spent on the assignments is not a mediator of the effect of calibration on learning performance. This research presents pioneering work in examining a holistic model that assesses the impact of metacognition in online learning on both assignment and exam level learning outcomes using field data collected through a natural learning setting. The findings highlight the need to include metacognitive calibration as one of the learner characteristics in research models addressing student performance in online learning.     

The Effects of Engagement in Inquiry-Oriented Activities on Student Learning and Personal Development

Using data from the College Student Experience Questionnaire research program between 1998 and 2004, this study examined the effects of student engagement in inquiry-oriented activities on a range of self-reported college outcomes. The results indicate that (1) engaging in inquiry-oriented activities has significant and positive effects on a global measure of gains; (2) engagement has positive effects on some college outcomes but negative effects on others; (3) the effects of inquiry-oriented activities are conditional, with some students benefiting more than others. This study reveals the complexity of the influences of inquiry-oriented activities on college students and points to implications for institutional policies and programs that may be effective in fostering desired college outcomes. Shouping Hu  is Associate Professor of Higher Education at Florida State University. He received his M.S. degree in Economics and Ph.D. in Higher Education from Indiana University. His research and scholarship focuses on college access and success, student engagement, and higher education finance. His contact information is 113 Stone Building, Florida State University, Tallahassee, FL 32306. George D. Kuh  is Chancellor’s Professor of Higher Education and Director of the Center for Postsecondary Research at Indiana University Bloomington. He received his Ph.D. degree from the University of Iowa. His research focuses on the quality of undergraduate education. Shaoqing Li  is a senior research analyst in the Office of Institutional Research at Florida A&M University. She received her M.S. degree in Computer Science and Ph.D. in Instructional Systems Technology from Indiana University. Her expertise includes information technologies, learning theories, and institutional research.     

Metacognition, Theory of Mind, and Self-Control: The Relevance of High-Level Cognitive Processes in Development, Neuroscience, and Education

ABSTRACT— The cognitive control of behavior is critical for success in school. The emergence of self-control in development has been linked to the ability to represent one's own and others' mental states (theory of mind and metacognition). Despite rapid progress in exploring the neural correlates of both mind reading and executive function in recent years, to date, the implications of these high-level cognitive processes for issues relevant to education have hardly been addressed. The present special issue brings together developmental perspectives on the relation of self-control, theory of mind, and metacognition; theoretical and empirical contributions on the implications of theory of mind and self-control for teaching and learning; and brief reviews of the state of the art in cognitive neuroscience on these high-level cognitive processes in adolescents and adults.     

Student Motivation and Learning in Mathematics and Science: A Cluster Analysis

The present study focused on an in-depth understanding of student motivation and self-regulated learning in mathematics and science through cluster analysis. It examined the different learning profiles of motivational beliefs and self-regulatory strategies in relation to perceived teacher autonomy support, basic psychological needs (i.e. autonomy, competence, and relatedness), motivational regulations, and academic achievement. Grounded in self-determination theory, this study examined the learning profiles of 782 students from eight secondary schools in Singapore. The cluster analyzes revealed four distinct learning profiles, and they were compared in association with perceived teacher autonomy support, needs satisfaction, motivational regulations, and grades. Cluster profiling enables teachers to have better understanding of their students’ self-regulated learning so that they can apply effective teaching strategies to foster their motivation. The findings offer a perspective to secondary students’ psychological needs along with some insights into their perceived task value and self-efficacy in the contexts of mathematics and science.     

The Role of Student Characteristics in Predicting Retention in Online Courses

Given the continued issue of student retention for online classes, past research has suggested several “retention strategies” focused on engaging students as a way to reduce their withdrawal rate from these classes. However, a recent study testing the effects of these strategies on retention in online undergraduate business courses (Leeds et al., Int J Manage Educ 7(1/2), 2013) did not show empirical support for the effectiveness of such strategies. Taking an alternative approach that focuses on individual characteristics of students, this study takes a broader view and examines previous research literature on traditional face-to-face classes to determine how individual characteristics of students may be associated with the likelihood of withdrawal from online classes. Using a sample of undergraduate students (n = 2,314) from a large state university, results from this study identified prior performance in college classes (cumulative GPA) and class standing (senior vs. non-senior) as significant student characteristics related to student retention in online classes for all students. Other factors significantly related to retention rates for students with certain characteristics or within certain majors include previous withdrawal from online courses, gender, and receipt of academic loans.     

中学生数学学习元认知水平的调查分析

通过调查显示了中学生数学学习元认知水平方面存在的一些问题,并分析了其中的原因。