STUDENT HELP-SEEKING BEHAVIORS AND TEACHER INSTRUCTIONAL PRACTICES: EXAMINING THEIR RELATIONSHIP WITH U.S. STUDENT MATHEMATICS ACHIEVEMENT

Even though the United States (U.S.) spends, on average, more money per student than most Organisation for Economic Co-operation and Development (OECD) countries, it continues to lag behind its international peers in mathematics achievement. This study, which responded to the call for educational reforms that improve the mathematics achievement of U.S. students, aimed to examine the issue of student help-seeking behaviors and teacher instructional practices as they interact to affect student mathematics achievement. The Programme for International Student Assessment (PISA) defines student help-seeking behaviors as the ways in which students have a propensity to depend on the knowledge and intellect of others, including both their peers and teachers, when attempting to solve problems. Because mathematics is perhaps the most difficult school subject, student help-seeking behaviors should be a critical component of mathematics learning and teaching. Unfortunately, the research literature is barren concerning this important educational issue. This study attempted to produce the first wave of empirical evidence and open up an avenue for future research in this less-charted academic field, with the ultimate goal being to use students’ help-seeking behaviors to improve their mathematics achievement. Using the U.S. sample of 15-year-old students from PISA 2012 (the most recent PISA assessment in which the main area of focus was mathematical literacy), this study intended to determine whether students’ help-seeking behaviors play a significant role in their mathematics achievement, whether this relationship varies from school to school, and whether teacher instructional practices contribute to the school-level variation. Due to the multilevel structure of the data, with students being nested within schools, a two-level hierarchical linear model (HLM) was employed in the analysis of the data. Multiple measures of mathematics achievement were used as the dependent variables for separate analyses. Student help-seeking behavior was used as the key student-level independent variable, while three teacher instructional practices were used as the key school-level independent variables. In addition, several student and school background characteristics were used as control variables. The findings from this study indicate that student help-seeking behavior has a statistically significant effect on all measures of student mathematics achievement, even after controlling for various student background characteristics. On the other hand, the study did not find statistically significant evidence that the effects of student help-seeking behavior on any measure of student mathematics achievement vary from school to school. Overall, the issue of student help-seeking behaviors should be considered a worthy topic to pursue in future educational research. From a practical standpoint, since students’ mathematics achievement is positively associated with their help-seeking behaviors, efforts should be made to educate mathematics teachers on how to encourage their students to be more proactive in seeking help in the learning of mathematics

Improving Retention for Principles of Accounting and Elementary Statistics Students: Ultra-Short Tutorials Designed to Motivate Effort and Improve Performance

This dissertation reports on two supplemental instruction implementations in courses with high failure rates. In study one, 27 ultra-short on-line tutorials were created for Principles of Accounting II students (N = 426). In study two, 21 tutorials with a similar design were created for Elementary Statistics students (N = 1,411). Accounting students were encouraged by their instructor to use the resource, but statistics students only saw a brief demonstration by the researcher. Neither course gave students credit for using the tutorials. In study one, 71.4% of the accounting students used the tutorials. Students who used the tutorials had dramatically lower drop rates and better pass rates. Tutorial use was correlated with exam scores, although the effect was moderate. Tutorial use remained at high levels two years after implementation without instructors promoting use of the resource. Course grades were higher for the two-year period after implementation compared to the two years prior to implementation. In study two, statistics sections were randomly assigned to intervention (tutorials; 695 students) or control (716 students). There were no significant differences in drop rates or average grades between intervention and control sections. On average, 46.0% of the intervention students used the tutorials. Users were less likely to drop and more likely to pass compared to non-users and control students; these differences were especially pronounced among low-achieving students. Tutorial use was correlated with slightly higher exam scores, but only for low achievers. The lack of differences between intervention and control sections may have been due to the drop off of usage after the first exam and the small learning effect only accruing to the relatively small number of low achievers. Participants reported the tutorials as “important to their course achievement” more often than other course resources. The important features of the tutorials were convenience (24/7 Internet access), efficiency of learning, and clear instruction. These studies suggest that the magnitude of the learning effect of the ultra-short tutorials depends on the tutorial topics, instructor promotion of the resource, and whether or not they are implemented in a course in which students feel the need to seek extra instruction

The Impact of Online Homework, Time on Homework, Gender, and Metacognition in Improving Student Achievement in Undergraduate Biology Courses

This study sought to address a gap in the literature to determine whether a relationship exists between use of online homework and student achievement in undergraduate biology courses. Previous studies have examined other STEM courses, but few have considered biology. The purpose of the study was to determine whether homework grades in online homework systems can predict student achievement in introductory undergraduate biology courses. This study utilized a correlational analysis by multiple regression using archival data to determine whether final course grades in undergraduate biology courses can be predicted by grades on online homework, time spent on online homework, gender, or participation in a course on metacognition. A second question considered whether performance on a major assignment in a course on metacognition correlated with biology course grades and found a moderate correlation. The study took place at a small private Christian university in the Southeast, with 311 participants. The study found that there is a significant predictive ability to use these variables in determining course grades. Homework scores were most predictive, but time spent on homework and gender were also significant. Participation in a course on metacognition gave inconclusive results and is one suggestion for further research. Keywords: STEM, online homework, academic achievement, metacognitio

The Effect of Advisement and Competition on Transfer, Advisor Use, and Attitude toward Mathematics Using a Computer-Based Simulation Game

This study looks at the roles that competition and context of advisement play in transfer, advisor use, attitude toward mathematics, and attitude toward instruction in a computer-based simulation game that required the use of mathematics skills. It is concluded that for transfer training, non-competitive simulation games might be the best choice, better at least than simulation games that include a time-pressure factor. Advisement appeared to be a good way to promote transfer and positive attitude toward mathematics and instruction, the latter two of which can indirectly promote future performance

Enhancing Self-monitoring and Self-reflection through a Self-regulatory Skills Intervention Embedded in a Middle School Mathematics Curriculum

The purpose of this study was to investigate the effects of a self-regulatory strategy intervention designed to improve participants\u27 calibration accuracy, self-regulatory skills, and math achievement. Monitoring and self-reflection processes were the main focus of this intervention as they are key processes in many well-validated models of self-regulated learning and have been found to impact academic achievement and overall self-regulatory skill (Bol et al., 2010; Dunlosky & Rawson, 2011; Hacker et al., 2008; Nietfeld et al., 2005). The participants were 30 sixth and seventh grade students who were learning about probability as part of their normal math curriculum during the study. They were randomly assigned to a treatment group or a control group. The treatment group received an intervention that was built upon previously successful monitoring and self-regulation interventions. Results show that participants who received the intervention had higher predictive and postdictive calibration accuracy and higher math performance as compared to the control group, but did not report using more self-regulatory and metacognitive strategy use. Qualitative data suggest that participants use different sources for their calibration judgments depending on how accurate their calibration judgments were and fell largely in line with previous theoretical understandings. The educational implications of the findings for school psychologists and educators were considered

The Influence of a Flipped Classroom on Student Achievement, Homework Completion, and Student Perceptions in a High School Algebra 2 Class

The current study investigated the use of technology, specifically flipped classroom practices, in a high school math classroom. This study took place in a rural Maine high school to discover what effects the flipped classroom would have on student achievement, student self-efficacy, and homework completion in an Algebra 2 course. The participants were 43 students, from 8th to 12th grader, in 5 Algebra 2 courses. The researcher compared performance on classroom assessments in both conditions and found no statistical significance on performance. The majority of participants reported no change in self efficacy following the flipped classroom, and the researcher observed a slight increase in homework completion during the flipped classroo

Effectiveness of Remedial Mathematics Supplemental Instruction: a Community College Study.

The purpose of this mixed method study was to determine if there is a relationship between characteristics of supplemental instructors’ personal traits, teaching skills, subject matter, constructive/active, collaborative learning, effective communication, and their practices (as judged by students) and student success in their remedial mathematics course. The college Provost was contacted by email to request an authorization to conduct this study in his college. Once approved, the investigator contacted face to face his colleagues to ask their students to participate in the study because they enrolled in a remedial algebra class where the instructor is assisted by a supplemental instructor (SI leader). Sixteen algebra classes were selected, and each were assisted by supplemental instructors. Students’ scores on the pre-test (at beginning of the semester) and post-test (at the end of the semester) were collected to gauge their achievement on both tests. Students completed a questionnaire that asked about their perceptions about their supplemental instructors’ personal traits, teaching skills, subject matter, constructive/active, collaborative learning, effective communication, and their practices throughout the semester. Students’ mean scores difference on the post-test were higher in 62.5% of the sections than on the pre-test. The evaluation of achievement on both tests, the responses to the questionnaire and comments from students showed that SI leader’s characteristics associated to effective communication/active learning, teaching skills, and personal traits could be contributor to score achievements. The linear regression in the study shows that the three factors did not significantly predict the post-test score. However, the pre-test did significantly predict the post-test score in a remedial Math 20 at the end of the semester (Beta = .47, t (197) = 6.56, p <.05). In addition, the comments in the questionnaire found that students acknowledged their supplemental instructor role in the classroom and during the SI’s weekly sessions

The effect of test design on student motivational strategies for learning and student retention

Large numbers of students attending community college lack essential college success skills (motivation and study strategies). Many of these students do not complete their degree programs. Identifying learning and teaching methods that promote the development of lifelong learning skills in addition to content acquisition is essential. This quasi-experimental research design study examined the effect of alternative multiple-choice question design on student motivational strategies for learning and retention. Participants were 59 students enrolled in a Microsoft® Office applications course at a public gulf coast community college. The discrete-option multiple-choice (DOMC) test was designed to limit cheating and guessing on tests. The designers of the test suggested that the test format might require students to change how they prepare for exams. Results showed that the test format can change both the motivational beliefs and learning strategies of students. The present study indicates that it is possible, to affect student retention at the course level by changing the test format. Students who have low levels of interest and lower levels of intrinsic goal orientation may be at risk for non-retention. Students taking the alternate form of multiple-choice test versus the traditional format held higher levels of intrinsic value overall. Results indicate that the discrete-option multiple-choice (DOMC) question format promoted student self-efficacy (SE) and intrinsic value (IV) in the treatment group. The significant change in the control group (traditional multiple-choice test format) was the decreased score of intrinsic value from semester start to end. Student grade point average continues to be an indicator of college completion. This research may be of interest to educators and instructional course designers

Interactions Between Patterns of Gamer Behaviors and Time-on-Task for Mathematics Remediation in a Game-based HIVE

As the presence of digital game-based learning increases in United States classrooms, understanding their impact on achievement is critical. Digital games for learning offer many potential benefits, including reducing the number of students trapped in a remediation cycle, a contributor to college dropout. Despite the recognized potential of game-based learning, few researchers have explored the relationships between specific patterns of behaviors and types of digital game-based learning environments. The underlying theory for this study was patterns of gamer behaviors may predict in-game behaviors. Archival, third-party data regarding The Lost Function - Episode 1: Sum of the Forgotten Minds by Advanced Training & Learning Technology, LLC was used in this study. Using 4 case groups at the high school and college levels (n=114), self-reported levels of the 3 patterns of gamer behaviors, gender, and age-band were analyzed using multiple regression to determine relationships to time-on-task in a game-based highly interactive virtual environment, designed for mathematics remediation. While the results were inconclusive, this study supported the existing literature regarding gender differences and the lack of mutual exclusivity in behavior typing. Recommendations include additional research in how the statements used in the 3-factor model may be adjusted to allow for a broader population of game players. The social change implication is that further understanding of the relationship between learner traits and digital learning environment may assist educators that employ digital game-based learning a way to better align learners to the most appropriate digital learning environment, thereby increases their chances at success

English language learners in focus : predictors of English proficiency and academic achievement.

Academic achievement of English language learners (ELLs), the fastest growing population in the U.S. schools, deserves greater attention. This non-experimental study investigated the unique contributions-above and beyond other individual difference and school characteristics-of language learning strategies (LLS) to student academic outcomes in a second language (L2). The sample comprised 1,057 ELLs (651 elementary, 275 middle, and 131 high school) attending 38 schools in one urban school district. Descriptive analysis results indicated that ELLs used a large array ofLLS; yet, except for metacognitive strategies, most LLS were reportedly used only at a medium level of frequency. The results also indicated a strong awareness of strategy effectiveness among teachers: A lack of significant correlations between teacher and student LLS ratings, however, suggested that teacher beliefs may not necessarily translate into practice. The results of Structural Equation Modeling analyses identified three positive, instructionally manipulable contributors to ELLs\u27 L2 outcomes: metacognitive strategies, motivation, and native language (L 1) literacy. Whereas metacognitive strategy use appeared to be stable, cognitive strategy use declined as a function of age; memory, social, affective, and compensation strategy use declined as a function of length of residence (LOR). These results confirmed Gardner et al.\u27s (1997) hypothesis holding that with increased L2 proficiency students may feel less need in using LLS and suggested that age and LOR may moderate the relationships between LLS and L2 outcomes. Hierarchical Linear Modeling results indicated that metacognitive strategies, L 1 literacy, and English proficiency significantly contributed to reading achievement. Controlling for other predictors, lack of prior formal schooling had no negative effect on ELLs\u27 achievement; lack of mother formal education was a negative predictor of mathematics and science-but not reading and social studies-scores. Higher school quality indicators predicted higher academic achievement among ELLs. The overall results suggest that ELLs would benefit from: (a) integrated content, language, and metacognitive strategy instruction; (b) classrooms that stimulate motivation; (c) Ll literacy maintenance; (d) additional L2 support; and (e) placement in higher-performing schools. Additional research is needed to explore the potential moderator effects of age and LOR on the relationships between LLS and L2 outcomes